Introduction
The Taulbee Survey, which CRA has performed annually since 1974, has
earned prominence as a carefully-structured and reliable source of
industry data that is crafted with applicable safeguards. Each year a
wide array of members choose to reply to the Taulbee survey, knowing
that robust data enhances the validity of results and bolsters the
survey’s value to its full spectrum of users. Each fall, CRA surveys
academic departments in the United States and Canada that offer a PhD in
computer science (CS), computer engineering (CE), or information (I).
The Taulbee Survey is the principal source of information on the
enrollment, production, and employment of PhDs in information, computer
science, and computer engineering (CS, CE, and I) and in providing
salary and demographic data for faculty in CS, CE, and I in North
America. In 2024, as we do every three years, the Taulbee Survey reports
on data related to departmental resources and activities, thus this
report provides comprehensive analysis of computing departments
including the graduate students, faculty, staff, and resources that make
computing innovation and training possible.
New this Year
Change in salary effective date: Based on feedback
from the computing community, we changed the salary collection date.
Past Taulbee surveys used salaries that took effect during the current
year (e.g., in 2023, we reported on salaries that took effect on January
1, 2024), however this year we report on the salary in effect on July
10, 2024. This means that for 2024, we did not provide calculations for
Table S21 that provided the change in salary median for departments that
reported in the last two years because our data is currently in the same
year. We will bring this comparison back in 2025.
Change in demographics: Based on feedback from the
computing community, we changed all instances of “American Indian” to
“Indigenous” within the survey. This impacts all sections and tables
where demographic data is reported across the survey.
Reporting format: The CRA Taulbee Survey report is
now available in a redesigned, HTML-based format, improving navigation,
accessibility, and user experience for the computing research
community.
Departmental Profiles questions: Every three years,
the Taulbee Survey collects data about elements of departmental
activities that are not expected to change much each year. Included are
data about teaching loads, sources of external funding, methods of
recruiting graduate students, space, and department support staff. The
most recent prior data about these activities were reported in the 2021
Taulbee Survey.
Methods
Adherence
CRA is committed to complying fully with applicable laws and
regulations that protect privacy, equality, competition, and other
pertinent standards. CRA seeks to protect the Taulbee Survey’s many
legitimate purposes by expecting universal commitment to such standards.
CRA, a third-party survey administrator, takes due precautions to adhere
to laws and ethical principles, such as:
- maintaining strict confidentiality of all submitted data, which
shall not be disclosed in raw form to anyone;
- engaging a professional survey service to receive and process all
data independently;
- soliciting historical salary data by position;
- and distributing in the Taulbee survey results (and any related
report, publication, or presentation) only data that is aggregate,
anonymous, and inclusive of numerous respondents.
CRA encourages community members to engage actively with
institutional, local, state, and federal resources.
While CRA may, within appropriate guidelines, offer its members
separate reports scoped to subsets of data, all of those likewise
contain only aggregate and anonymous data sufficiently broad to preclude
identifying any sources of individual data and to ensure that no data
source comprises a disproportionate share.
Survey Design
In the spring, the computing community is invited to provide feedback
to CRA. This feedback along with other comments and requests received
throughout the year is analyzed by CRA staff and reported to the CRA CEO
and CRA Survey Committee. The CRA Survey Committee discusses survey
edits during the summer and early fall before presenting the finalized
survey to CRA CEO by the end of September. For example, this year, we
expanded terminology for demographics and tuition to align with U.S. and
Canadian systems.
Sample and Survey Distribution
CRA gathers survey data during the fall. Surveys were sent to CRA
members, the CRA Deans group members, and participants in the iSchools
Caucus (www.ischools.org) who met the criteria of granting Ph.D.s in
programs with a strong computing component and being located in North
America. Programs who meet these criteria and would like to participate
in the survey in future years are invited to contact TaulbeeSurvey@cra.org for inclusion.
In the 2024 survey cycle, CRA emailed all eligible Taulbee survey
respondents via the PeerFocus survey management platform in October 2024
to provide data between October 14, 2024 and March 3, 2025. Responses
received by March 3, 2025 are included in the analysis. The period
covered by the data varies from table to table.
Taulbee Main: Taulbee Main was open from October
14-March 3, 2025. We surveyed a total of 314 Ph.D.-granting departments
and received responses from 157, for an overall response rate of 50
percent, down from 56 percent last year. The response rates from CE and
Canadian departments in particular continue to be low. The U.S. CS
response rate of 61 percent is, as usual, the highest of all of the
categories; however, it is lower than last year’s 69 percent and for the
second year in a row is the lowest for the past quarter century.
Responses from CE and I department types also decreased from their rates
last year, however Canadian response rates remained the same. Figure 1
shows the history of the survey’s response rates. Response rates are
inexact because some departments provide only partial data, and some
institutions provide a single joint response for multiple departments.
Thus, in some tables the number of departments shown as reporting will
not equal the overall total number of respondents shown in Figure 1 for
that category of department.
Taulbee Salary: Taulbee Salary was open from
October-December 2024. The Faculty Salaries section data was collected
from the Taulbee salary survey. The overall response rate declined for
the third year in a row on this survey with 150 institutions total
participating (162 respondents in 2023 and 175 respondents in 2022) with
the only change coming from less US CS institutions responding. Of the
150 departments, we had responses from 122 U.S. CS (134 in 2023), 4 U.S.
CE, 14 U.S. I, and 10 Canadian.
Overall, we had a response rate to the Taulbee Salary survey of 54
percent, while last year’s overall response rate was 61 percent. All
department types showed percentage decreases. Among U.S. CS departments,
the response rate decreased to 65 percent from 71 percent last year. The
CE response rate was 11 percent versus 20 percent last year. The
Canadian response rate decreased to 20 percent from 45 percent. The
response rate from the U.S. Information departments was 61 percent
compared with 74 percent last year, but more I departments received this
year’s survey. Of those departments reporting this year, 61 percent
provided individual salary data, compared with 57 percent last year. In
general, this year’s response rates were more similar to those of two
years ago than to last year’s rates.
The data collected from the Graduate Student Support section was
departments that responded to these questions in either Taulbee Salary
or Taulbee Main, as these questions are asked in both surveys. If a
department responded to both surveys, their response from Taulbee Main
was used.
To account for the changes in response rate, we comment not only on
aggregate totals but also on averages per department reporting or data
from those departments that responded to both 2023 and 2024 surveys.
This is a more meaningful indication of the one-year changes affecting
the data.
Analysis
CRA Research Associates used Peer Focus to validate data input (e.g.,
user errors) and then downloaded the data to clean and analyze it in R.
Tables and visualizations were generated to provide a statistical
summary of the unit level data.
We used the following reporting thresholds when reporting data:
- If fewer than 4 units, nothing
- If 4-6 units, median only
- If 7-9 units, 25 percentile, median, 75 percentile
- If 10+ units, 10 percentile, 25 percentile, median, 75 percentile,
90 percentile.
- If reporting thresholds were not met, we reported “NA” in the
tables.
Most of these academic units are departments, but some are colleges
or schools of information or computing. In this report, we will use the
term “department” to refer to the unit offering the program.
Degree production and enrollment (PhD, Master’s, and Bachelor’s)
refer to the previous academic year (2023-24). Data for new students and
projected student production in all categories refer to the current
academic year (2024-25). Salaries are those effective on July 10,
2024.
Degree, enrollment, and faculty salary data for the U.S CS
departments are stratified according to: a) whether the institution is
public or private; and b) the tenure-track faculty size of the reporting
department. The faculty size strata deliberately overlap, so that data
from most departments affect multiple strata. This may be especially
useful to departments near the boundary of one stratum. Salary data is
also stratified according to the population of the locale in which the
institution is located. Specifically, an institution’s population
classification is based on the Carnegie Classification database where
large cities have a population of >= 250,000 people, mid-size cities
have a population of 100,000 and 250,000 people, and town/rural
populations are less than 100,000 people. These stratifications allow
our readers to triangulate between the multiple tables to understand the
context of the salary data. In addition to tabular presentations of
data, we will use “box and whisker” diagrams to show medians, quartiles,
and the range between the 10th and 90th percentile data points.
We thank all of the respondents to this year’s questionnaire.
Doctoral Program Production, Enrollment, Employment, and
Applications
This year’s CRA Taulbee Survey respondents reported another all-time
high in doctoral degree production, breaking the 2022–23 record by 8.2
percent. Among departments reporting both this year and last year, the
number of total doctoral degrees increased by 10.5 percent compared to
the previous year. Among U.S. CS departments reporting both years, there
was an increase in production of doctoral degrees by 12.7% (Table
1).
The total doctoral enrollment reported by this year’s responding
departments when all departments are included barely increased––0.7%,
down from 4.7% change last year, meanwhile US CS departments enrollment
reported a 3.7% change (down from 6.9% change last year). Of note is
that there are 8 less US CS and US CE departments reporting and 3 less I
departments reporting which may impact enrollment numbers. When we look
at departments that reported both years, doctoral enrollment increased
6% (up from 3% change last year) when aggregated across all departments
and increased 6.6% across US CS departments. These percent increases are
higher than the last two years among departments reporting
year-over-year (Table 1).
Table D1: PhD production and pipeline by department type
PhDs awarded represents those awarded during July 1, 2023 - June 30,
2024.
|
|
PhDs Awarded
|
PhDs Next Year
|
Passed Qualifier
|
Passed Thesis (if dept. has)
|
|
Dept. Type
|
Num. depts.
|
Num. PhDs awarded
|
Avg. PhDs per dept.
|
Num. PhDs next year
|
Avg. PhDs next year per dept.
|
Num. passed qualifier
|
Avg. passed qualifier per dept.
|
Num. passed thesis
|
Num. depts. with thesis
|
Avg. passed thesis per dept.
|
|
US CS Public
|
90
|
1,523
|
17.5
|
1,884
|
23.0
|
1,829
|
23.8
|
1,412
|
73
|
19.3
|
|
US CS Private
|
35
|
542
|
20.1
|
744
|
24.8
|
567
|
20.2
|
319
|
23
|
13.9
|
|
US CS Total
|
125
|
2,065
|
18.1
|
2,628
|
23.5
|
2,396
|
22.8
|
1,731
|
96
|
18.0
|
|
US CE
|
3
|
43
|
14.3
|
54
|
27.0
|
8
|
8.0
|
0
|
0
|
NaN
|
|
US Info
|
14
|
128
|
9.8
|
157
|
11.2
|
158
|
13.2
|
211
|
13
|
16.2
|
|
Canada
|
11
|
116
|
11.6
|
185
|
16.8
|
253
|
28.1
|
184
|
8
|
23.0
|
|
Total
|
153
|
2,352
|
16.8
|
3,024
|
21.8
|
2,815
|
22.2
|
2,126
|
117
|
18.2
|
This year’s respondents reported another all-time high doctoral
degree production of 2,352 for the 2023-24 academic year, breaking the
2022-23 record of 2,173 by 8.2% (Figure D1). U.S. CS departments in both
public and private institutions increased their production. Even though
10 more departments reported this year (N=125) compared to last year
(N=115), we also see a small increase in average PhDs awarded per
department in US CS departments. This year, no areas decreased
production. On a per-department basis, the overall increase across the
three computing areas was 8.4%, from 15.5 to 16.8 (Table D1).
We report on passing qualifier and thesis exams as a proxy for
progress, however the timeframes depend on departmental requirements
that vary between programs and institutions, thus comparisons should be
considered with caution (Table D1). Overall, average passing of
qualifying exams increased by 2.2 from 20 to 22.2 in 2024. At U.S. CS
departments, the average number of students per department who passed
qualifier exams in 2023-24 increased slightly to 22.8 (20.7 last year).
Unlike last year, the average per department was slightly higher at CS
public institutions (23.8) than private (20.2). Canadian universities
increased qualifying passing by 10 to 28.1 up from 18.2. I schools had a
slight increase to 13.2, up from 10.3 last year.
The thesis passing average, shown in Table D1, stayed constant from
last year at 18.2 (18.3 last year). The average number per U.S. CS
department who passed thesis candidacy exams in 2023-24 (most, but not
all, departments have such exams) increased slightly to 18 from 17.6
last year; similar to last year public institutions showed an increase
in the average who passed thesis candidacy (from 18.1 to 19.3), while
private institution showed a decrease from last year’s level (from 15.8
to 13.9). I and Canadian departments increased an average of 1 in each
department’s thesis passing rate.
Table D2: PhDs awarded by gender
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Gender
|
CS PhDs Awarded
|
CS %
|
CE PhDs Awarded
|
CE %
|
I PhDs Awarded
|
I %
|
Total
|
Total %
|
|
Female
|
465
|
24.5%
|
29
|
20.7%
|
79
|
44.6%
|
573
|
25.9%
|
|
Male
|
1,426
|
75.1%
|
111
|
79.3%
|
96
|
54.2%
|
1,633
|
73.7%
|
|
Nonbinary/Other
|
7
|
0.4%
|
0
|
0%
|
2
|
1.1%
|
9
|
0.4%
|
|
Total Known Gender
|
1,898
|
|
140
|
|
177
|
|
2,215
|
|
|
Unknown
|
134
|
|
1
|
|
2
|
|
137
|
|
|
Total
|
2,032
|
|
141
|
|
179
|
|
2,352
|
|
Among 2023-24 PhD recipients aggregated across CS, CE and I, 25.9%
identified as female, up slightly from 24.1% in 2022–23. In CS, the
increase for females was from 22.7 to 24.5%. Of note is that 6.6% of CS
degree recipients did not have their gender reported—similar to last
year when 7% did not report, however in the past, less than one-half of
one percent did not report; thus, these year-over-year gender
comparisons cannot provide a complete picture. In CE, female
representation stayed the same from last year at 22.0%, but was 14.5% in
2021-2022. After a decrease in 2022-2023, I female representation has
increased above 2021-2022 levels from 40.0% to 44.6% (Table D2).
Table D3: PhDs awarded by ethnicity
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
CS PhDs Awarded
|
CS %
|
CE PhDs Awarded
|
CE %
|
I PhDs Awarded
|
I %
|
Total
|
Total %
|
|
Nonresident Alien
|
1,132
|
65.9%
|
73
|
55.7%
|
93
|
54.7%
|
1,298
|
64.3%
|
|
Resident, Indigenous or Alaskan Native
|
2
|
0.1%
|
0
|
0%
|
0
|
0%
|
2
|
0.1%
|
|
Resident, Asian
|
174
|
10.1%
|
30
|
22.9%
|
14
|
8.2%
|
218
|
10.8%
|
|
Resident, African American Non Hispanic
|
22
|
1.3%
|
1
|
0.8%
|
6
|
3.5%
|
29
|
1.4%
|
|
Resident, Native Hawaiian or Pacific Islander
|
2
|
0.1%
|
1
|
0.8%
|
0
|
0%
|
3
|
0.1%
|
|
Resident, White, Non-Hispanic
|
337
|
19.6%
|
20
|
15.3%
|
50
|
29.4%
|
407
|
20.2%
|
|
Resident, More than one Race Specified, non-Hispanic
|
12
|
0.7%
|
4
|
3.1%
|
3
|
1.8%
|
19
|
0.9%
|
|
Resident, Hispanic
|
37
|
2.2%
|
2
|
1.5%
|
4
|
2.4%
|
43
|
2.1%
|
|
Residency & Ethnicity Known
|
1,718
|
|
131
|
|
170
|
|
2,019
|
|
|
Resident, Ethnicity Unknown
|
101
|
|
3
|
|
2
|
|
106
|
|
|
Residency Unknown
|
213
|
|
7
|
|
7
|
|
227
|
|
|
Total
|
2,032
|
|
141
|
|
179
|
|
2,352
|
|
When we look at PhDs awarded by race/ethnicity, we continue to see a
lack of reporting in CS for Ph.D. recipients with 15.4% not reporting,
down from 18.5% last year, but still up from 7% in 2021-2022. Among
those with ethnicity reported, the CS distribution across race/ethnicity
is similar to that reported last year, however decreases were reported
in Nonresident Alien (0.3 percentage point decrease) and Resident White
(0.1 percentage point decrease). In CE, Resident Asian (8.1 percentage
point increase) and Residents, More than One Race Specified (3.1
percentage point increase), and Resident, Hispanic (0.6 percentage point
increase) racial/ethnic categories increased compared to last year. I
PhD recipients had similar demographics compared to last year with
Nonresident Aliens (1 percentage point decrease) and Resident Asian (1
percentage point decrease) decreasing more than 1 percentage point
(Table D3), with Resident, White being the only racial/ethnic category
to see an increase (2.4 percentage point increase).
Among new 2023–24 PhDs for whom employment information was known,
54.3 percent accepted positions in North American industry— down from
57.5% the prior year. Conversely, 38.7% took academic jobs in North
America, a notable increase from 30.6%.
Table D4: Employment of new PhD recipients by
specialty
All Employment Locations
This data represents employment of PhDs who earned their PhDs between
July 1, 2023 - June 30, 2024.
Scroll horizontally to view additional columns and totals.
|
Employment Type
|
Artificial Intelligence/ Machine Learning
|
Hardware/ Architecture
|
High Performance Computing
|
Human-Computer Interaction
|
Informatics: Biomedical/ Other Science
|
Information Systems
|
Other
|
Programming Languages/ Compilers
|
Robotics/ Vision
|
Scientific/ Numerical Computing
|
Security/ Information Assurance
|
Software Engineering
|
Unknown
|
Databases/ Information Retrieval
|
Graphics/ Visualization
|
Information Science
|
Networks
|
Operating Systems
|
Social Computing/ Social Informatics/ CSCW
|
Theory and Algorithms
|
Computing Education
|
Total
|
Percent
|
|
Government
|
10
|
1
|
2
|
2
|
3
|
1
|
6
|
2
|
1
|
2
|
4
|
1
|
6
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
41
|
1.7%
|
|
Industry Non-Research
|
62
|
7
|
7
|
9
|
1
|
18
|
9
|
13
|
12
|
6
|
20
|
23
|
6
|
11
|
7
|
3
|
12
|
9
|
4
|
7
|
0
|
246
|
10.5%
|
|
Industry Postdoc
|
2
|
0
|
0
|
2
|
0
|
0
|
2
|
0
|
1
|
0
|
2
|
0
|
2
|
1
|
3
|
1
|
1
|
0
|
0
|
4
|
0
|
21
|
0.9%
|
|
Industry Research
|
229
|
20
|
9
|
31
|
18
|
17
|
28
|
12
|
48
|
7
|
26
|
8
|
39
|
17
|
13
|
16
|
12
|
17
|
6
|
30
|
1
|
604
|
25.7%
|
|
Industry Type Unknown
|
15
|
1
|
3
|
2
|
1
|
1
|
2
|
2
|
3
|
1
|
2
|
4
|
8
|
1
|
2
|
1
|
0
|
0
|
0
|
1
|
0
|
50
|
2.1%
|
|
Non CS/CE/I Dept
|
0
|
0
|
0
|
0
|
0
|
3
|
1
|
0
|
0
|
1
|
0
|
1
|
2
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
9
|
0.4%
|
|
Other
|
4
|
0
|
0
|
2
|
1
|
0
|
0
|
0
|
3
|
0
|
0
|
0
|
5
|
2
|
0
|
1
|
0
|
0
|
0
|
1
|
0
|
19
|
0.8%
|
|
Other CS/CE/I Dept
|
10
|
0
|
1
|
5
|
0
|
0
|
1
|
2
|
1
|
0
|
5
|
1
|
3
|
1
|
0
|
1
|
3
|
2
|
0
|
1
|
3
|
40
|
1.7%
|
|
PhD Dept Postdoc
|
68
|
5
|
4
|
13
|
19
|
4
|
17
|
9
|
15
|
4
|
11
|
4
|
19
|
5
|
6
|
3
|
5
|
7
|
4
|
20
|
7
|
249
|
10.6%
|
|
PhD Dept Researcher
|
22
|
0
|
0
|
9
|
4
|
2
|
8
|
6
|
4
|
0
|
2
|
1
|
13
|
1
|
4
|
3
|
1
|
0
|
2
|
8
|
4
|
94
|
4%
|
|
PhD Dept Teaching
|
16
|
1
|
1
|
6
|
0
|
2
|
2
|
3
|
2
|
1
|
2
|
4
|
12
|
0
|
4
|
1
|
3
|
1
|
4
|
9
|
6
|
80
|
3.4%
|
|
PhD Dept Tenure Track
|
44
|
4
|
8
|
20
|
5
|
6
|
12
|
5
|
7
|
0
|
24
|
8
|
20
|
15
|
4
|
10
|
6
|
5
|
6
|
8
|
7
|
224
|
9.5%
|
|
Self-Employed
|
8
|
0
|
0
|
1
|
0
|
0
|
2
|
0
|
2
|
0
|
0
|
0
|
1
|
1
|
1
|
1
|
0
|
0
|
1
|
1
|
0
|
19
|
0.8%
|
|
Unemployed
|
7
|
0
|
0
|
1
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
3
|
0
|
1
|
0
|
0
|
0
|
0
|
2
|
0
|
15
|
0.6%
|
|
Unknown
|
48
|
5
|
7
|
16
|
4
|
8
|
56
|
4
|
8
|
2
|
16
|
7
|
406
|
9
|
12
|
2
|
8
|
5
|
2
|
15
|
1
|
641
|
27.3%
|
|
Grand Total
|
545
|
44
|
42
|
119
|
56
|
62
|
146
|
59
|
107
|
24
|
114
|
62
|
545
|
65
|
57
|
43
|
51
|
46
|
29
|
107
|
29
|
2352
|
100.0%
|
Employed in US or Canada
This data represents employment of PhDs who earned their PhDs between
July 1, 2023 - June 30, 2024.
|
Employment Type
|
Artificial Intelligence/ Machine Learning
|
Hardware/ Architecture
|
High Performance Computing
|
Human-Computer Interaction
|
Informatics: Biomedical/ Other Science
|
Information Systems
|
Other
|
Programming Languages/ Compilers
|
Robotics/ Vision
|
Scientific/ Numerical Computing
|
Security/ Information Assurance
|
Software Engineering
|
Unknown
|
Databases/ Information Retrieval
|
Graphics/ Visualization
|
Information Science
|
Networks
|
Operating Systems
|
Social Computing/ Social Informatics/ CSCW
|
Theory and Algorithms
|
Computing Education
|
Total
|
Percent
|
|
Government
|
9
|
1
|
2
|
2
|
3
|
1
|
6
|
2
|
1
|
2
|
4
|
1
|
4
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
38
|
2.4%
|
|
Industry Non-Research
|
59
|
7
|
5
|
9
|
1
|
18
|
9
|
12
|
12
|
6
|
18
|
22
|
3
|
11
|
7
|
3
|
12
|
9
|
4
|
7
|
0
|
234
|
14.7%
|
|
Industry Postdoc
|
2
|
0
|
0
|
2
|
0
|
0
|
2
|
0
|
1
|
0
|
1
|
0
|
1
|
1
|
3
|
1
|
1
|
0
|
0
|
3
|
0
|
18
|
1.1%
|
|
Industry Research
|
213
|
18
|
9
|
28
|
18
|
17
|
27
|
11
|
45
|
7
|
25
|
7
|
34
|
17
|
13
|
16
|
11
|
17
|
6
|
26
|
1
|
566
|
35.6%
|
|
Industry Type Unknown
|
14
|
1
|
3
|
1
|
0
|
1
|
2
|
2
|
2
|
1
|
2
|
4
|
7
|
1
|
2
|
1
|
0
|
0
|
0
|
1
|
0
|
45
|
2.8%
|
|
Non CS/CE/I Dept
|
0
|
0
|
0
|
0
|
0
|
3
|
1
|
0
|
0
|
1
|
0
|
1
|
2
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
9
|
0.6%
|
|
Other
|
4
|
0
|
0
|
2
|
1
|
0
|
0
|
0
|
2
|
0
|
0
|
0
|
1
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
11
|
0.7%
|
|
Other CS/CE/I Dept
|
9
|
0
|
1
|
5
|
0
|
0
|
1
|
2
|
1
|
0
|
4
|
1
|
2
|
1
|
0
|
1
|
3
|
1
|
0
|
1
|
3
|
36
|
2.3%
|
|
PhD Dept Postdoc
|
62
|
3
|
3
|
12
|
18
|
3
|
14
|
6
|
15
|
3
|
9
|
2
|
18
|
5
|
5
|
3
|
5
|
7
|
4
|
16
|
7
|
220
|
13.9%
|
|
PhD Dept Researcher
|
21
|
0
|
0
|
8
|
4
|
2
|
8
|
6
|
4
|
0
|
1
|
1
|
12
|
1
|
4
|
3
|
0
|
0
|
2
|
7
|
3
|
87
|
5.5%
|
|
PhD Dept Teaching
|
15
|
1
|
1
|
6
|
0
|
2
|
2
|
2
|
2
|
1
|
1
|
3
|
11
|
0
|
4
|
1
|
2
|
1
|
4
|
9
|
6
|
74
|
4.7%
|
|
PhD Dept Tenure Track
|
38
|
3
|
7
|
16
|
4
|
5
|
11
|
5
|
5
|
0
|
20
|
6
|
15
|
11
|
4
|
9
|
4
|
5
|
3
|
8
|
7
|
186
|
11.7%
|
|
Self-Employed
|
8
|
0
|
0
|
1
|
0
|
0
|
2
|
0
|
2
|
0
|
0
|
0
|
0
|
1
|
0
|
1
|
0
|
0
|
1
|
1
|
0
|
17
|
1.1%
|
|
Unemployed
|
5
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
1
|
0
|
8
|
0.5%
|
|
Unknown
|
4
|
0
|
1
|
5
|
0
|
1
|
4
|
1
|
2
|
1
|
2
|
0
|
14
|
1
|
0
|
1
|
1
|
0
|
1
|
0
|
0
|
39
|
2.5%
|
|
Grand Total
|
463
|
34
|
32
|
98
|
49
|
53
|
89
|
49
|
94
|
22
|
87
|
48
|
124
|
52
|
43
|
40
|
39
|
40
|
25
|
80
|
27
|
1588
|
100.0%
|
Employed outside US or Canada
This data represents employment of PhDs who earned their PhDs between
July 1, 2023 - June 30, 2024.
|
Employment Type
|
Artificial Intelligence/ Machine Learning
|
Security/ Information Assurance
|
Software Engineering
|
Theory and Algorithms
|
Hardware/ Architecture
|
Human-Computer Interaction
|
Networks
|
Other
|
Programming Languages/ Compilers
|
Robotics/ Vision
|
Unknown
|
Information Science
|
Operating Systems
|
Graphics/ Visualization
|
Informatics: Biomedical/ Other Science
|
Information Systems
|
Scientific/ Numerical Computing
|
Computing Education
|
Databases/ Information Retrieval
|
High Performance Computing
|
Social Computing/ Social Informatics/ CSCW
|
Total
|
Percent
|
|
Industry Non-Research
|
3
|
2
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
6
|
5.1%
|
|
Industry Postdoc
|
0
|
1
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
2
|
1.7%
|
|
Industry Research
|
6
|
1
|
1
|
1
|
2
|
1
|
1
|
1
|
1
|
3
|
3
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
21
|
17.8%
|
|
Industry Type Unknown
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
2
|
1.7%
|
|
Other
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0.8%
|
|
Other CS/CE/I Dept
|
1
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
4
|
3.4%
|
|
PhD Dept Postdoc
|
5
|
2
|
2
|
4
|
1
|
1
|
0
|
3
|
3
|
0
|
0
|
0
|
0
|
1
|
1
|
1
|
1
|
0
|
0
|
0
|
0
|
25
|
21.2%
|
|
PhD Dept Researcher
|
1
|
1
|
0
|
1
|
0
|
1
|
1
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
7
|
5.9%
|
|
PhD Dept Teaching
|
0
|
1
|
1
|
0
|
0
|
0
|
1
|
0
|
1
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
5
|
4.2%
|
|
PhD Dept Tenure Track
|
6
|
3
|
2
|
0
|
1
|
4
|
2
|
1
|
0
|
1
|
5
|
1
|
0
|
0
|
1
|
1
|
0
|
0
|
4
|
1
|
3
|
36
|
30.5%
|
|
Self-Employed
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0.8%
|
|
Unknown
|
2
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
8
|
6.8%
|
|
Grand Total
|
24
|
12
|
7
|
8
|
4
|
8
|
5
|
5
|
5
|
4
|
15
|
2
|
1
|
3
|
2
|
2
|
1
|
1
|
4
|
2
|
3
|
118
|
100.0%
|
Table D5: New PhD students by department type
This data represents newly admitted PhD students enrolled in Fall 2024.
Scroll horizontally to view additional columns and totals.
|
|
CS
|
CE
|
I
|
Total
|
|
Dept. Type
|
# Depts.
|
CS New Admit
|
CS MS to PhD
|
CS Total
|
CS Avg. per. Dept.
|
CE New Admit
|
CE MS to PhD
|
CE Total
|
CE Avg. per. Dept.
|
I New Admit
|
I MS to PhD
|
I Total
|
I Avg. per. Dept.
|
Total
|
Avg. per. dept.
|
|
US CS Public
|
87
|
2,246
|
198
|
2,444
|
28.8
|
101
|
10
|
111
|
5.0
|
56
|
11
|
67
|
2.9
|
2,622
|
30.1
|
|
US CS Private
|
35
|
1,144
|
37
|
1,181
|
33.7
|
2
|
0
|
2
|
0.3
|
12
|
0
|
12
|
2.0
|
1,195
|
34.1
|
|
US CS Total
|
122
|
3,390
|
235
|
3,625
|
30.2
|
103
|
10
|
113
|
3.9
|
68
|
11
|
79
|
2.7
|
3,817
|
31.3
|
|
US CE
|
3
|
0
|
0
|
0
|
0.0
|
89
|
1
|
90
|
30.0
|
0
|
0
|
0
|
0.0
|
90
|
30.0
|
|
US Info
|
14
|
13
|
1
|
14
|
3.5
|
0
|
0
|
0
|
0.0
|
165
|
8
|
173
|
12.4
|
187
|
13.4
|
|
Canada
|
11
|
199
|
7
|
206
|
18.7
|
9
|
0
|
9
|
4.5
|
0
|
0
|
0
|
0.0
|
215
|
19.5
|
|
Total
|
150
|
3,602
|
243
|
3,845
|
28.3
|
201
|
11
|
212
|
5.9
|
233
|
19
|
252
|
5.6
|
4,309
|
28.7
|
The number of reported new PhD students per department increased by
7% this year compared with last year’s reporting departments when all
departments are considered (28.7 reported this year vs. 26.8 last year)
as shown in Table D5. Overall, the percent difference has wavered
between 15 and 5% in the last five years, thus it is difficult to see if
this is a trend. U.S. CS departments across all three types, public,
private, and Canadian institutions showed increases. Similar to last
year, among departments that reported both years, the number of new PhD
students increased among both U.S. CS departments and all departments
combined (Tables 1).
Table D5a: New PhD students from outside North America
This data represents newly admitted PhD students enrolled in Fall 2024
from outside North America. It also includes those who transferred from
a Master’s program.
|
Dept. Type
|
CS Total
|
CE Total
|
I Total
|
Total New Outside
|
Total New
|
% outside North America
|
|
US CS Public
|
1,565
|
79
|
40
|
1,684
|
2,622
|
64.2%
|
|
US CS Private
|
500
|
1
|
7
|
508
|
1,195
|
42.5%
|
|
US CS Total
|
2,065
|
80
|
47
|
2,192
|
3,817
|
57.4%
|
|
US CE
|
0
|
47
|
0
|
47
|
90
|
52.2%
|
|
US Info
|
9
|
0
|
110
|
119
|
187
|
63.6%
|
|
Canada
|
128
|
5
|
0
|
133
|
215
|
61.9%
|
|
Total
|
2,202
|
132
|
157
|
2,491
|
4,309
|
57.8%
|
The proportion of new doctoral students from outside North America
returned to 2022 levels back to 57.8% from 61.9% in 2023 and 57.3% in
2022. Only Canadian departments increased new PhD students from outside
North America from 43.3% to 61.9%, otherwise departments saw decreases
(Table D5a).
Table D6: PhD enrollment by department type
This data represents PhD students enrolled on average last year between
July 1, 2023 - June 30, 2024.
|
Dept. Type
|
# Depts.
|
CS Total
|
CS %
|
CE Total
|
CE %
|
I Total
|
I %
|
Total
|
Total %
|
|
US CS Public
|
90
|
12,038
|
65.1%
|
593
|
48%
|
530
|
32.2%
|
13,161
|
61.6%
|
|
US CS Private
|
34
|
5,102
|
27.6%
|
97
|
7.9%
|
60
|
3.6%
|
5,259
|
24.6%
|
|
US CS Total
|
124
|
17,140
|
92.7%
|
690
|
55.9%
|
590
|
35.8%
|
18,420
|
86.2%
|
|
US CE
|
3
|
0
|
0%
|
517
|
41.9%
|
0
|
0%
|
517
|
2.4%
|
|
US Info
|
14
|
115
|
0.6%
|
0
|
0%
|
1,057
|
64.2%
|
1,172
|
5.5%
|
|
Canada
|
10
|
1,244
|
6.7%
|
28
|
2.3%
|
0
|
0%
|
1,272
|
5.9%
|
|
Total
|
151
|
18,499
|
100%
|
1,235
|
100%
|
1,647
|
100%
|
21,381
|
100%
|
Table D7: PhD enrollment by gender
This data represents PhD students enrolled on average last year between
July 1, 2023 - June 30, 2024.
|
Gender
|
CS PhDs Enrolled
|
CS %
|
CE PhDs Enrolled
|
CE %
|
I PhDs Enrolled
|
I %
|
Total
|
Total %
|
|
Male
|
12,843
|
74.3%
|
968
|
78.6%
|
793
|
49.4%
|
14,604
|
72.6%
|
|
Female
|
4,399
|
25.5%
|
263
|
21.4%
|
797
|
49.6%
|
5,459
|
27.1%
|
|
Nonbinary/Other
|
40
|
0.2%
|
0
|
0%
|
16
|
1%
|
56
|
0.3%
|
|
Total Known Gender
|
17,282
|
|
1,231
|
|
1,606
|
|
20,119
|
|
|
Unknown
|
1,217
|
|
4
|
|
41
|
|
1,262
|
|
|
Total
|
18,499
|
|
1,235
|
|
1,647
|
|
21,381
|
|
The share of females among enrolled doctoral students of known gender
slightly increased from 26.3% to 27.1%. In CS, the fraction increased
slightly from 25.2% to 25.5% (Table D7). Enrolled female doctoral
students in CE and I also saw small increases; CE increased 2.2
percentage points to 21.4% from 19.2%; I increased 2.9 percentage points
to 49.6% from 46.7%. This year, the number of doctoral students enrolled
whose gender was not reported decreased significantly for I from 12.7%
to 5.9% and for CS from 7.5% to 6.6%, thus the year-over-year
comparisons will be affected.
Table D8: PhD enrollment by ethnicity
This data represents PhD students enrolled on average last year between
July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
CS PhDs Enrolled
|
CS %
|
CE PhDs Enrolled
|
CE %
|
I PhDs Enrolled
|
I %
|
Total
|
Total %
|
|
Nonresident Alien
|
10,453
|
68.1%
|
836
|
71.6%
|
884
|
56.1%
|
12,173
|
67.3%
|
|
Resident, Indigenous or Alaskan Native
|
11
|
0.1%
|
0
|
0%
|
3
|
0.2%
|
14
|
0.1%
|
|
Resident, Asian
|
1,472
|
9.6%
|
84
|
7.2%
|
147
|
9.3%
|
1,703
|
9.4%
|
|
Resident, Black or African American
|
249
|
1.6%
|
14
|
1.2%
|
76
|
4.8%
|
339
|
1.9%
|
|
Resident, Native Hawaiian or Pacific Islander
|
10
|
0.1%
|
1
|
0.1%
|
0
|
0%
|
11
|
0.1%
|
|
Resident, White
|
2,622
|
17.1%
|
173
|
14.8%
|
355
|
22.5%
|
3,150
|
17.4%
|
|
Resident, More than one Race Specified, non-Hispanic
|
189
|
1.2%
|
18
|
1.5%
|
47
|
3%
|
254
|
1.4%
|
|
Resident, Hispanic, any race
|
334
|
2.2%
|
41
|
3.5%
|
63
|
4%
|
438
|
2.4%
|
|
Total Residency & Ethnicity Known
|
15,340
|
|
1,167
|
|
1,575
|
|
18,082
|
|
|
Resident, Ethnicity Unknown
|
584
|
|
61
|
|
25
|
|
670
|
|
|
Residency Unknown
|
2,575
|
|
7
|
|
47
|
|
2,629
|
|
|
Total
|
18,499
|
|
1,235
|
|
1,647
|
|
21,381
|
|
Analysis of the doctoral enrollment diversity by race/ethnicity,
shown in Table D8, should be considered in relation to the number of
student residency that is not reported. This year, the percentage of
students who did not have race/ethnicity reported decreased 1.7
percentage points, with 15.5% of all students not having race and
ethnicity reporting (down from 17.2% last year). CS continues to have
the most nonreporting with 17.1% of students with unknown
race/ethnicity, whereas CE and I have less than 6% this year (down from
28.5% for CE and 12.8% for I).
Among those students whose race/ethnicity is known (Table D8), the
overall fraction of doctoral students who were neither Nonresident
Aliens, Asian, nor White was 5.9%, up slightly from 5.6% last year. In
CS programs, this year’s fraction was 5.2%, with no change from last
year. In CE programs, the percentage decreased from 6.9% to 6.3% this
year. I programs increased slightly from 10.6% to 12%.
The fraction of enrolled doctoral students who were Nonresident
Aliens is higher than last year at 67.3%, increasing 1.5 percentage
points from last year (Table D8). The largest change came from CE, up
from 68.1 % to 71.6%, whereas CS had a 1.5 percentage point increase and
I saw no change from last year.
Table D9 shows the gender x race/ethnicity cross-tabs for doctoral
recipients. Within each area, this table shows the percentage of
graduates of each gender that were of a given race/ethnicity. Due to the
non-reporting issues discussed above, the I area is the one for which a
year-over-year comparison is most reliable. It shows Nonresident Alien
of both male (54.9%) and female (57.3%) make up over half of Information
PhD graduates, as has been seen in the past.
Table D9: PhDs awarded by gender and ethnicity
Computer Science
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
# Depts
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
101
|
854
|
66.4%
|
267
|
65.1%
|
1
|
14.3%
|
10
|
1,132
|
65.9%
|
|
Resident, African American Non Hispanic
|
16
|
10
|
0.8%
|
10
|
2.4%
|
1
|
14.3%
|
1
|
22
|
1.3%
|
|
Resident, Asian
|
55
|
125
|
9.7%
|
46
|
11.2%
|
2
|
28.6%
|
1
|
174
|
10.1%
|
|
Resident, Hispanic
|
27
|
26
|
2%
|
10
|
2.4%
|
0
|
0%
|
1
|
37
|
2.2%
|
|
Resident, Indigenous or Alaskan Native
|
2
|
1
|
0.1%
|
1
|
0.2%
|
0
|
0%
|
0
|
2
|
0.1%
|
|
Resident, More than one Race Specified, non-Hispanic
|
9
|
9
|
0.7%
|
3
|
0.7%
|
0
|
0%
|
0
|
12
|
0.7%
|
|
Resident, Native Hawaiian or Pacific Islander
|
2
|
0
|
0%
|
2
|
0.5%
|
0
|
0%
|
0
|
2
|
0.1%
|
|
Resident, White, Non-Hispanic
|
89
|
262
|
20.4%
|
71
|
17.3%
|
3
|
42.9%
|
1
|
337
|
19.6%
|
|
Residency & Ethnicity Known
|
112
|
1,287
|
|
410
|
|
7
|
|
14
|
1,718
|
|
|
Resident, Ethnicity Unknown
|
27
|
67
|
|
24
|
|
0
|
|
10
|
101
|
|
|
Residency Unknown
|
25
|
72
|
|
31
|
|
0
|
|
110
|
213
|
|
|
Total
|
124
|
1,426
|
|
465
|
|
7
|
|
134
|
2,032
|
|
Computer Engineering
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
# Depts
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
15
|
61
|
58.7%
|
12
|
44.4%
|
0
|
NaN%
|
0
|
73
|
55.7%
|
|
Resident, African American Non Hispanic
|
1
|
1
|
1%
|
0
|
0%
|
0
|
NaN%
|
0
|
1
|
0.8%
|
|
Resident, Asian
|
11
|
20
|
19.2%
|
10
|
37%
|
0
|
NaN%
|
0
|
30
|
22.9%
|
|
Resident, Hispanic
|
2
|
2
|
1.9%
|
0
|
0%
|
0
|
NaN%
|
0
|
2
|
1.5%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0
|
NaN%
|
0
|
NaN%
|
0
|
NaN%
|
0
|
0
|
NaN%
|
|
Resident, More than one Race Specified, non-Hispanic
|
2
|
3
|
2.9%
|
1
|
3.7%
|
0
|
NaN%
|
0
|
4
|
3.1%
|
|
Resident, Native Hawaiian or Pacific Islander
|
1
|
0
|
0%
|
1
|
3.7%
|
0
|
NaN%
|
0
|
1
|
0.8%
|
|
Resident, White, Non-Hispanic
|
10
|
17
|
16.3%
|
3
|
11.1%
|
0
|
NaN%
|
0
|
20
|
15.3%
|
|
Residency & Ethnicity Known
|
18
|
104
|
|
27
|
|
0
|
|
0
|
131
|
|
|
Resident, Ethnicity Unknown
|
3
|
3
|
|
0
|
|
0
|
|
0
|
3
|
|
|
Residency Unknown
|
3
|
4
|
|
2
|
|
0
|
|
1
|
7
|
|
|
Total
|
20
|
111
|
|
29
|
|
0
|
|
1
|
141
|
|
Table D10: PhD enrollment by gender and
ethnicity
Computer Science
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
7,818
|
68.7%
|
2,558
|
66.8%
|
10
|
30.3%
|
67
|
10,453
|
68.1%
|
|
Resident, Indigenous or Alaskan Native
|
10
|
0.1%
|
1
|
0%
|
0
|
0%
|
0
|
11
|
0.1%
|
|
Resident, Asian
|
1,001
|
8.8%
|
458
|
12%
|
6
|
18.2%
|
7
|
1,472
|
9.6%
|
|
Resident, Black or African American
|
159
|
1.4%
|
90
|
2.4%
|
0
|
0%
|
0
|
249
|
1.6%
|
|
Resident, Native Hawaiian or Pacific Islander
|
7
|
0.1%
|
3
|
0.1%
|
0
|
0%
|
0
|
10
|
0.1%
|
|
Resident, White
|
1,998
|
17.5%
|
597
|
15.6%
|
11
|
33.3%
|
16
|
2,622
|
17.1%
|
|
Resident, More than one Race Specified, non-Hispanic
|
133
|
1.2%
|
55
|
1.4%
|
0
|
0%
|
1
|
189
|
1.2%
|
|
Resident, Hispanic, any race
|
261
|
2.3%
|
67
|
1.7%
|
6
|
18.2%
|
0
|
334
|
2.2%
|
|
Total Residency & Ethnicity Known
|
11,387
|
|
3,829
|
|
33
|
|
91
|
15,340
|
|
|
Residency and/or Ethnicity Unknown
|
1,456
|
|
570
|
|
7
|
|
1,126
|
3,159
|
|
|
Total
|
12,843
|
|
4,399
|
|
40
|
|
1,217
|
18,499
|
|
Computer Engineering
This data represents PhDs awarded during July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
650
|
70.5%
|
184
|
76%
|
0
|
NaN%
|
2
|
836
|
71.6%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, Asian
|
67
|
7.3%
|
17
|
7%
|
0
|
NaN%
|
0
|
84
|
7.2%
|
|
Resident, Black or African American
|
11
|
1.2%
|
3
|
1.2%
|
0
|
NaN%
|
0
|
14
|
1.2%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
1
|
0.4%
|
0
|
NaN%
|
0
|
1
|
0.1%
|
|
Resident, White
|
147
|
15.9%
|
25
|
10.3%
|
0
|
NaN%
|
1
|
173
|
14.8%
|
|
Resident, More than one Race Specified, non-Hispanic
|
15
|
1.6%
|
3
|
1.2%
|
0
|
NaN%
|
0
|
18
|
1.5%
|
|
Resident, Hispanic, any race
|
32
|
3.5%
|
9
|
3.7%
|
0
|
NaN%
|
0
|
41
|
3.5%
|
|
Total Residency & Ethnicity Known
|
922
|
|
242
|
|
0
|
|
3
|
1,167
|
|
|
Residency and/or Ethnicity Unknown
|
46
|
|
21
|
|
0
|
|
1
|
68
|
|
|
Total
|
968
|
|
263
|
|
0
|
|
4
|
1,235
|
|
Table D11: New PhD enrollment by gender
This data represents newly admitted PhD students enrolled in Fall 2024.
|
Gender
|
CS PhDs Newly Enrolled
|
CS %
|
CE PhDs Newly Enrolled
|
CE %
|
I PhDs Newly Enrolled
|
I %
|
Total
|
Total %
|
|
Male
|
2,504
|
75.2%
|
157
|
75.5%
|
184
|
52%
|
2,845
|
73.1%
|
|
Female
|
816
|
24.5%
|
49
|
23.6%
|
164
|
46.3%
|
1,029
|
26.4%
|
|
Nonbinary/Other
|
10
|
0.3%
|
2
|
1%
|
6
|
1.7%
|
18
|
0.5%
|
|
Total Known Gender
|
3,330
|
|
208
|
|
354
|
|
3,892
|
|
|
Unknown
|
236
|
|
19
|
|
6
|
|
261
|
|
|
Total
|
3,566
|
|
227
|
|
360
|
|
4,153
|
|
Table D12: New PhD enrollment by ethnicity
This data represents newly admitted PhD students enrolled in Fall 2024.
|
Residency and Race/Ethnicity
|
CS PhDs Newly Enrolled
|
CS %
|
CE PhDs Newly Enrolled
|
CE %
|
I PhDs Newly Enrolled
|
I %
|
Total
|
Total %
|
|
Nonresident Alien
|
2,162
|
70.9%
|
158
|
77.5%
|
211
|
67.6%
|
2,531
|
71%
|
|
Resident, Asian
|
325
|
10.7%
|
8
|
3.9%
|
16
|
5.1%
|
349
|
9.8%
|
|
Resident, Black or African American
|
54
|
1.8%
|
1
|
0.5%
|
7
|
2.2%
|
62
|
1.7%
|
|
Resident, Hispanic, any race
|
51
|
1.7%
|
4
|
2%
|
10
|
3.2%
|
65
|
1.8%
|
|
Resident, Indigenous or Alaskan Native
|
2
|
0.1%
|
0
|
0%
|
0
|
0%
|
2
|
0.1%
|
|
Resident, More than one Race Specified, non-Hispanic
|
42
|
1.4%
|
3
|
1.5%
|
5
|
1.6%
|
50
|
1.4%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
1
|
0.3%
|
1
|
0%
|
|
Resident, White
|
415
|
13.6%
|
30
|
14.7%
|
62
|
19.9%
|
507
|
14.2%
|
|
Total Residency & Ethnicity Known
|
3,051
|
100%
|
204
|
100%
|
312
|
100%
|
3,567
|
100%
|
|
Resident, Ethnicity Unknown
|
76
|
|
10
|
|
3
|
|
89
|
|
|
Residency Unknown
|
439
|
|
13
|
|
45
|
|
497
|
|
|
Total
|
3,566
|
|
227
|
|
360
|
|
4,153
|
|
Table D13: New PhD enrollment by gender and
ethnicity
Computer Science
This data represents newly admitted PhD students enrolled in Fall 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
1,639
|
72.7%
|
500
|
67.6%
|
2
|
25%
|
21
|
2,162
|
70.9%
|
|
Resident, Indigenous or Alaskan Native
|
1
|
0%
|
1
|
0.1%
|
0
|
0%
|
0
|
2
|
0.1%
|
|
Resident, Asian
|
210
|
9.3%
|
91
|
12.3%
|
1
|
12.5%
|
23
|
325
|
10.7%
|
|
Resident, Black or African American
|
32
|
1.4%
|
20
|
2.7%
|
0
|
0%
|
2
|
54
|
1.8%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0
|
0%
|
|
Resident, White
|
299
|
13.3%
|
109
|
14.7%
|
3
|
37.5%
|
4
|
415
|
13.6%
|
|
Resident, More than one Race Specified, non-Hispanic
|
35
|
1.6%
|
7
|
0.9%
|
0
|
0%
|
0
|
42
|
1.4%
|
|
Resident, Hispanic, any race
|
37
|
1.6%
|
12
|
1.6%
|
2
|
25%
|
0
|
51
|
1.7%
|
|
Total Residency & Ethnicity Known
|
2,253
|
|
740
|
|
8
|
|
50
|
3,051
|
|
|
Residency and/or Race/Ethnicity Unknown
|
251
|
|
76
|
|
2
|
|
186
|
515
|
|
|
Total
|
2,504
|
|
816
|
|
10
|
|
236
|
3,566
|
|
Computer Engineering
This data represents newly admitted PhD students enrolled in Fall 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
122
|
79.2%
|
33
|
71.7%
|
1
|
50%
|
2
|
158
|
77.5%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0
|
0%
|
|
Resident, Asian
|
6
|
3.9%
|
2
|
4.3%
|
0
|
0%
|
0
|
8
|
3.9%
|
|
Resident, Black or African American
|
0
|
0%
|
1
|
2.2%
|
0
|
0%
|
0
|
1
|
0.5%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0
|
0%
|
|
Resident, White
|
21
|
13.6%
|
8
|
17.4%
|
1
|
50%
|
0
|
30
|
14.7%
|
|
Resident, More than one Race Specified, non-Hispanic
|
3
|
1.9%
|
0
|
0%
|
0
|
0%
|
0
|
3
|
1.5%
|
|
Resident, Hispanic, any race
|
2
|
1.3%
|
2
|
4.3%
|
0
|
0%
|
0
|
4
|
2%
|
|
Total Residency & Ethnicity Known
|
154
|
|
46
|
|
2
|
|
2
|
204
|
|
|
Residency and/or Race/Ethnicity Unknown
|
3
|
|
3
|
|
0
|
|
17
|
23
|
|
|
Total
|
157
|
|
49
|
|
2
|
|
19
|
227
|
|
Table D14: PhD Applications and Acceptances to begin
in 2024-2025 Academic Year, US CS Departments
PhD Applications
This data represents students who applied to a PhD program in the
2024-2025 academic year (therefore, students who applied during
2023-2024 academic year).
|
Gender
|
# Depts
|
International
|
Domestic
|
Total
|
% International
|
|
Male
|
|
28,542
|
6,493
|
35,035
|
81.5%
|
|
Female
|
|
9,118
|
2,176
|
11,294
|
80.7%
|
|
Nonbinary/Other
|
|
96
|
118
|
214
|
44.9%
|
|
Total Known Gender
|
|
37,756
|
8,787
|
46,543
|
81.1%
|
|
Gender Unknown
|
|
3,254
|
870
|
4,124
|
78.9%
|
|
Total
|
101
|
41,010
|
9,657
|
50,667
|
80.9%
|
PhD Acceptances
This data represents students who were accepted to a PhD program in the
2024-2025 academic year.
|
Gender
|
International
|
Domestic
|
Total
|
% International
|
|
Male
|
2,931
|
1,031
|
3,962
|
74%
|
|
Female
|
1,010
|
426
|
1,436
|
70.3%
|
|
Nonbinary/Other
|
8
|
15
|
23
|
34.8%
|
|
Total Known Gender
|
3,949
|
1,472
|
5,421
|
72.8%
|
|
Gender Unknown
|
293
|
133
|
426
|
68.8%
|
|
Total
|
4,242
|
1,605
|
5,847
|
72.6%
|
New Enrollment, Gender by Residency
Please note that this table excludes those with unknown race/ethnicity,
which is why totals may not align with the domestic numbers from the PhD
Acceptances tab.
|
Gender
|
International
|
Domestic
|
Total
|
% International
|
|
Male
|
1,763
|
814
|
2,577
|
68.4%
|
|
Female
|
566
|
307
|
873
|
64.8%
|
|
Nonbinary/Other
|
2
|
9
|
11
|
18.2%
|
|
Gender Unknown
|
8
|
203
|
211
|
3.8%
|
|
Total
|
2,339
|
1,333
|
3,672
|
63.7%
|
PhD Applications of Resident Students, Breakdown by Gender &
Race/Ethnicity
Please note that this table excludes those with unknown race/ethnicity,
which is why totals may not align with the domestic numbers from the PhD
Applications tab.
|
Gender
|
Indigenous or Alaskan Native
|
Asian
|
Black
|
Native Hawaiian or Pacific Islander
|
White
|
More than one Race
|
Hispanic
|
Total
|
% Black/ Indigenous/ Hispanic
|
|
Male
|
124
|
1396
|
163
|
103
|
1662
|
130
|
330
|
3,908
|
15.8%
|
|
Female
|
40
|
490
|
102
|
31
|
472
|
59
|
84
|
1,278
|
17.7%
|
|
Nonbinary/Other
|
0
|
17
|
6
|
1
|
33
|
5
|
2
|
64
|
12.5%
|
|
Not Available
|
0
|
101
|
14
|
0
|
105
|
14
|
19
|
253
|
13%
|
|
Total
|
164
|
2004
|
285
|
135
|
2272
|
208
|
435
|
5,503
|
16.1%
|
PhD Acceptances of Resident Students, Breakdown by Gender &
Race/Ethnicity
This data represents students who were accepted to a PhD program in the
2024-2025 academic year.
|
Gender
|
Indigenous or Alaskan Native
|
Asian
|
Black
|
Native Hawaiian or Pacific Islander
|
White
|
More than one Race
|
Hispanic
|
Total
|
% Black/ Indigenous/ Hispanic
|
|
Male
|
2
|
209
|
29
|
1
|
398
|
34
|
0
|
875
|
3.5%
|
|
Female
|
1
|
94
|
24
|
0
|
147
|
15
|
15
|
395
|
10.1%
|
|
Nonbinary/Other
|
0
|
2
|
0
|
0
|
4
|
0
|
0
|
14
|
0%
|
|
Not Available
|
0
|
29
|
0
|
0
|
19
|
0
|
7
|
160
|
4.4%
|
|
Total
|
3
|
334
|
53
|
1
|
568
|
110
|
22
|
1,505
|
5.2%
|
New Enrollment of Resident Students, Breakdown by Gender &
Race/Ethnicity
|
Gender
|
Indigenous or Alaskan Native
|
Asian
|
Black
|
Native Hawaiian or Pacific Islander
|
White
|
More than one Race
|
Hispanic
|
Total
|
% Black/ Indigenous/ Hispanic
|
|
Male
|
1
|
200
|
32
|
0
|
340
|
37
|
38
|
648
|
11%
|
|
Female
|
1
|
88
|
21
|
0
|
126
|
8
|
16
|
260
|
14.6%
|
|
Nonbinary/Other
|
0
|
1
|
0
|
0
|
5
|
0
|
1
|
7
|
14.3%
|
|
Gender Unknown
|
0
|
23
|
2
|
0
|
4
|
0
|
0
|
29
|
6.9%
|
|
Total
|
2
|
312
|
55
|
0
|
475
|
45
|
55
|
944
|
11.9%
|
Figure D5: CS Pipeline Corrected for Year of Entry
Figure D5 shows a graphical view of the Ph.D. pipeline for U.S.
computer science and Canadian departments, the main producers of CS
doctoral degrees. The data in this graph are normalized by the number of
reporting departments. The graph offsets the qualifier data by two years
from the data for new students, and offsets the graduation data by five
years from the data for new students. These data have been useful in
estimating the timing of changes in production rates. The graph predicts
increased Ph.D. production again next year. Indeed, all department types
are forecasting increases in Ph.D. production (Table D1). However, based
on past experience, the amount of the increase tends to be less than
departments estimate.
Master’s Program Production and Enrollments
Table M1: Master’s degrees awarded by department type
This data represents Master’s degrees awarded during July 1, 2023 - June
30, 2024.
|
Dept. Type
|
# Depts.
|
CS Total
|
CS %
|
CE Total
|
CE %
|
I Total
|
I %
|
Total
|
Total %
|
|
US CS Public
|
89
|
16,986
|
64.3%
|
424
|
41.9%
|
1,339
|
22.4%
|
18,749
|
56.1%
|
|
US CS Private
|
33
|
8,106
|
30.7%
|
49
|
4.8%
|
1,209
|
20.2%
|
9,364
|
28%
|
|
US CS Total
|
122
|
25,092
|
95%
|
473
|
46.7%
|
2,548
|
42.6%
|
28,113
|
84.1%
|
|
US CE
|
3
|
0
|
0%
|
447
|
44.1%
|
0
|
0%
|
447
|
1.3%
|
|
US Info
|
13
|
125
|
0.5%
|
0
|
0%
|
3,352
|
56.1%
|
3,477
|
10.4%
|
|
Canada
|
11
|
1,203
|
4.6%
|
93
|
9.2%
|
77
|
1.3%
|
1,373
|
4.1%
|
|
Total
|
149
|
26,420
|
100%
|
1,013
|
100%
|
5,977
|
100%
|
33,410
|
100%
|
Both the total number of master’s degrees produced (33,410) and the
average per reporting department (224.2) are 17.6% lower compared to
last year. Total Master’s degrees produced by U.S. CS departments at
public institutions, which comprise the largest number of departments in
the survey, decreased by 31% compared to US CS Public departments that
reported last year (Table M1). Total CS and CE Master’s degrees produced
across all departments decreased by 22.1% and 29.8% respectively
compared to last year, but increased for US CS departments by 15.7
percentage points and Canadian departments by 6.6 percentage points. In
comparison, the total production of I Master’s degrees across all
departments increased by 15% compared to last year. Overall, the total
and average per reporting department still represent the second-highest
production levels in CRA Taulbee Survey history.
Table M2: Master’s degrees awarded by gender
This data represents Master’s degrees awarded during July 1, 2023 - June
30, 2024.
|
Gender
|
CS Master’s Awarded
|
CS %
|
CE Master’s Awarded
|
CE %
|
I Master’s Awarded
|
I %
|
Total
|
Total %
|
|
Male
|
17,634
|
71.1%
|
608
|
76.6%
|
2,916
|
50.6%
|
21,158
|
67.4%
|
|
Female
|
7,124
|
28.7%
|
186
|
23.4%
|
2,841
|
49.3%
|
10,151
|
32.4%
|
|
Nonbinary/Other
|
61
|
0.2%
|
0
|
0%
|
3
|
0.1%
|
64
|
0.2%
|
|
Total Known Gender
|
24,819
|
|
794
|
|
5,760
|
|
31,373
|
|
|
Unknown
|
1,601
|
|
219
|
|
217
|
|
2,037
|
|
|
Total
|
26,420
|
|
1,013
|
|
5,977
|
|
33,410
|
|
Overall, compared to 2023, the proportion of CS, CE, or I Master’s
degrees of known gender earned by males increased by 3.2 percentage
points, whereas the percentage of those earned by females decreased by
3.1 percentage points. However, Master’s degrees earned by female
students in CS rose slightly to 28.7 from 26.8% last year, and for I
Master’s degrees from 47.5 to 49.3% respectively compared to last year
(Table M2). Percentage of Master’s degrees earned by male students in CS
and I decreased by 2 percentage points and 1.8 percentage points
respectively compared to last year, but increased for CE by 1.3
percentage points compared to last year. Similarly to last year, unknown
gender only increased by approximately 0.8 percentage points (6.1 from
5.3%) from last year across all departments, with CE and I having larger
percentage differentials than CS.
Table M3: Master’s degrees awarded by ethnicity
This data represents Master’s degrees awarded during July 1, 2023 - June
30, 2024.
|
Residency and Race/Ethnicity
|
CS Master’s Awarded
|
CS %
|
CE Master’s Awarded
|
CE %
|
I Master’s Awarded
|
I %
|
Total
|
Total %
|
|
Nonresident Alien
|
16,221
|
68.6%
|
490
|
70.8%
|
3,543
|
64%
|
20,254
|
67.8%
|
|
Resident, Indigenous or Alaskan Native
|
136
|
0.6%
|
0
|
0%
|
3
|
0.1%
|
139
|
0.5%
|
|
Resident, Asian
|
3,021
|
12.8%
|
56
|
8.1%
|
464
|
8.4%
|
3,541
|
11.8%
|
|
Resident, Black or African American
|
266
|
1.1%
|
9
|
1.3%
|
192
|
3.5%
|
467
|
1.6%
|
|
Resident, Native Hawaiian or Pacific Islander
|
5
|
0%
|
0
|
0%
|
6
|
0.1%
|
11
|
0%
|
|
Resident, White
|
3,154
|
13.3%
|
102
|
14.7%
|
1,062
|
19.2%
|
4,318
|
14.4%
|
|
Resident, More than one Race Specified, non-Hispanic
|
287
|
1.2%
|
14
|
2%
|
115
|
2.1%
|
416
|
1.4%
|
|
Resident, Hispanic, any race
|
572
|
2.4%
|
21
|
3%
|
154
|
2.8%
|
747
|
2.5%
|
|
Total Residency & Ethnicity Known
|
23,662
|
|
692
|
|
5,539
|
|
29,893
|
|
|
Residency and/or Race/Ethnicity Unknown
|
2,758
|
11.7%
|
321
|
46.4%
|
438
|
7.9%
|
3,517
|
11.8%
|
|
Total
|
26,420
|
|
1,013
|
|
5,977
|
|
33,410
|
|
Among graduates whose residency and ethnicity is known, the
proportion of CS master’s degrees that went to Nonresident Aliens
increased by 8.4 percentage points.. CS and CE showed increases in the
Nonresident Alien share of degrees, with the CS area’s increase being
the largest at 8.4 percentage points. In aggregate across all areas, the
increase was from 60.4 to 67.8%. The overall percentage of master’s
recipients among the combined Indigenous/Alaska Native,
Black/African-American, Native Hawaiian/Pacific Islander, Hispanic, and
More than One Race Specified categories dropped to 6% from 7% in
2021-22. In CS it dropped from 6.8% to 5.3% percent. In I, it also
dropped to 8.6% from 10%. Despite these decreases, it increased in CE to
6.3% from 4.4%. White students comprised 14.4% percent of the 2023-24
master’s graduates vs. 18.6% in 2022-23 (Table M3).
Table M4: Master’s degrees expected next year by department
type
|
Dept. Type
|
# Depts.
|
CS Total
|
CS %
|
CE Total
|
CE %
|
I Total
|
I %
|
Total
|
Total %
|
|
US CS Public
|
81
|
13,774
|
64.3%
|
338
|
61%
|
880
|
17.3%
|
14,992
|
55.4%
|
|
US CS Private
|
29
|
6,653
|
31.1%
|
26
|
4.7%
|
932
|
18.3%
|
7,611
|
28.1%
|
|
US CS Total
|
110
|
20,427
|
95.4%
|
364
|
65.7%
|
1,812
|
35.5%
|
22,603
|
83.5%
|
|
US CE
|
2
|
0
|
0%
|
126
|
22.7%
|
0
|
0%
|
126
|
0.5%
|
|
US Info
|
13
|
110
|
0.5%
|
0
|
0%
|
3,170
|
62.2%
|
3,280
|
12.1%
|
|
Canada
|
11
|
877
|
4.1%
|
64
|
11.6%
|
117
|
2.3%
|
1,058
|
3.9%
|
|
Total
|
136
|
21,414
|
100%
|
554
|
100%
|
5,099
|
100%
|
27,067
|
100%
|
An decrease in the production of master’s graduates is expected to
happen this year. The CS area forecasts slightly lower degree production
for 2024-25 than it experienced in 2023-24. CE also forecasts about half
of the degree production of 2023-24 while the I area forecasts some
increase for 2024-25 (Table M4).
Table M5: New Master’s students by department type
This data represents newly admitted Master’s students enrolled in Fall
2024.
Scroll horizontally to view additional columns and totals.
|
|
CS
|
CE
|
I
|
Total
|
Outside North America
|
|
Dept. Type
|
CS Total
|
CS # Depts.
|
CS Avg. per. Dept.
|
CE Total
|
CE # Depts.
|
CE Avg. per. Dept.
|
I Total
|
I # Depts.
|
I Avg. per. Dept.
|
Total
|
# Depts.
|
Avg. per. dept.
|
# from Outside North America
|
% from Outside North America
|
|
US CS Public
|
14,552
|
88
|
165.4
|
377
|
26
|
14.5
|
1,026
|
24
|
42.8
|
15,955
|
89
|
270.1
|
8,084
|
29.9%
|
|
US CS Private
|
6,462
|
32
|
201.9
|
27
|
6
|
4.5
|
742
|
10
|
74.2
|
7,231
|
32
|
344.3
|
3,788
|
14%
|
|
US CS Total
|
21,014
|
120
|
175.1
|
404
|
32
|
12.6
|
1,768
|
34
|
52.0
|
23,186
|
121
|
289.7
|
11,872
|
44%
|
|
US CE
|
0
|
0
|
NaN
|
287
|
3
|
95.7
|
0
|
0
|
NaN
|
287
|
3
|
130.7
|
105
|
0.4%
|
|
US Info
|
104
|
3
|
34.7
|
0
|
1
|
0.0
|
2,572
|
13
|
197.8
|
2,676
|
13
|
298.5
|
1,205
|
4.5%
|
|
Canada
|
702
|
11
|
63.8
|
25
|
1
|
25.0
|
117
|
1
|
117.0
|
844
|
11
|
107.5
|
339
|
1.3%
|
|
Total
|
21,820
|
134
|
162.8
|
716
|
37
|
19.4
|
4,457
|
48
|
92.9
|
26,993
|
148
|
273.7
|
13,521
|
50.1%
|
Overall, the average number of new Master’s students rose across all
types of departments, including CS, CE, Info, and Canadian departments.
Across all departments, average number of new Master’s students rose
from 185.3 per department in 2022-23 to 273.7 students per department in
2023-24. Public CS departments saw an increase of new Master’s students,
from 173.9 in 2022-23 to 270.1 average new Master’s students per public
CS department in 2023-24. Private CS departments also rose from 244.7 in
2022-23 to 344.3 average new Master’s students per private CS department
in 2023-2024 (Table M5).
Table M6: Total Master’s enrollment by department type
This data represents Master’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Dept. Type
|
CS Total
|
CS # Depts.
|
CS Avg. per. Dept.
|
CE Total
|
CE # Depts.
|
CE Avg. per. Dept.
|
I Total
|
I # Depts.
|
I Avg. per. Dept.
|
Total
|
# Distinct Depts.
|
Avg. per. dept.
|
|
US CS Public
|
29,841
|
88
|
339
|
816
|
17
|
48
|
3,223
|
18
|
179
|
33,880
|
89
|
381
|
|
US CS Private
|
20,481
|
34
|
602
|
109
|
3
|
36
|
3,233
|
7
|
462
|
23,823
|
34
|
701
|
|
US CS Total
|
50,322
|
122
|
412
|
925
|
20
|
46
|
6,456
|
25
|
258
|
57,703
|
123
|
469
|
|
US CE
|
0
|
0
|
NaN
|
748
|
3
|
249
|
0
|
0
|
NaN
|
748
|
3
|
249
|
|
US Info
|
328
|
2
|
164
|
0
|
0
|
NaN
|
8,138
|
14
|
581
|
8,466
|
14
|
605
|
|
Canada
|
2,246
|
11
|
204
|
251
|
1
|
251
|
88
|
1
|
88
|
2,585
|
11
|
235
|
|
Total
|
52,896
|
135
|
392
|
1,924
|
24
|
80
|
14,682
|
40
|
367
|
69,502
|
151
|
460
|
Overall enrollment for 2022-23 reported by this year’s master’s
programs (Table M6) is similar to that reported in 2021-22 by last
year’s master’s programs (this year’s reported enrollment is less than
1% lower than last year’s). The other department types each experienced
increases in the average number of new master’s students per department
(Table M6).
Table M7: Master’s degrees awarded by gender and
ethnicity
Computer Science
This data represents Master’s degrees awarded during July 1, 2023 - June
30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
11,049
|
66.7%
|
5,080
|
74.5%
|
51
|
85%
|
41
|
16,221
|
68.6%
|
|
Resident, Indigenous or Alaskan Native
|
5
|
0%
|
1
|
0%
|
0
|
0%
|
130
|
136
|
0.6%
|
|
Resident, Asian
|
2,078
|
12.5%
|
914
|
13.4%
|
1
|
1.7%
|
28
|
3,021
|
12.8%
|
|
Resident, Black or African American
|
174
|
1.1%
|
91
|
1.3%
|
1
|
1.7%
|
0
|
266
|
1.1%
|
|
Resident, Native Hawaiian or Pacific Islander
|
5
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
5
|
0%
|
|
Resident, White
|
2,576
|
15.6%
|
552
|
8.1%
|
6
|
10%
|
20
|
3,154
|
13.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
215
|
1.3%
|
68
|
1%
|
0
|
0%
|
4
|
287
|
1.2%
|
|
Resident, Hispanic, any race
|
460
|
2.8%
|
109
|
1.6%
|
1
|
1.7%
|
2
|
572
|
2.4%
|
|
Total Residency & Ethnicity Known
|
16,562
|
|
6,815
|
|
60
|
|
225
|
23,662
|
|
|
Residency and/or Race/Ethnicity Unknown
|
1,072
|
|
309
|
|
1
|
|
1,376
|
2,758
|
|
|
Total
|
17,634
|
|
7,124
|
|
61
|
|
1,601
|
26,420
|
|
Computer Engineering
This data represents Master’s degrees awarded during July 1, 2023 - June
30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
365
|
67.8%
|
125
|
81.2%
|
0
|
NaN%
|
0
|
490
|
70.8%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, Asian
|
51
|
9.5%
|
5
|
3.2%
|
0
|
NaN%
|
0
|
56
|
8.1%
|
|
Resident, Black or African American
|
6
|
1.1%
|
3
|
1.9%
|
0
|
NaN%
|
0
|
9
|
1.3%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, White
|
87
|
16.2%
|
15
|
9.7%
|
0
|
NaN%
|
0
|
102
|
14.7%
|
|
Resident, More than one Race Specified, non-Hispanic
|
12
|
2.2%
|
2
|
1.3%
|
0
|
NaN%
|
0
|
14
|
2%
|
|
Resident, Hispanic, any race
|
17
|
3.2%
|
4
|
2.6%
|
0
|
NaN%
|
0
|
21
|
3%
|
|
Total Residency & Ethnicity Known
|
538
|
|
154
|
|
0
|
|
0
|
692
|
|
|
Residency and/or Race/Ethnicity Unknown
|
70
|
|
32
|
|
0
|
|
219
|
321
|
|
|
Total
|
608
|
|
186
|
|
0
|
|
219
|
1,013
|
|
Table M8: Master’s enrollment by gender and
ethnicity
As has been the case for several years, a larger proportion of female
CS and CE degree recipients than male CS and CE degree recipients were
Non-resident Alien, while a larger percentage of male CS and CE degree
recipients than female CS and CE degree recipients were White (Table
M7). In the I area, Non-resident Aliens again comprised a larger
percentage of male master’s graduates than female master’s graduates,
while a smaller percentage of male master’s graduates than female
master’s graduates were White. These relationships are expected to
continue into the near future based on the current enrollment breakdown
by gender and ethnicity (Table M8). It should be noted that a similar
fraction of enrolled Master’s students reported this year has
unknown/unreported residency and/or race/ethnicity compared with last
year. (Table M8). Among the 70,086 enrolled master’s students among
departments reporting for 2023-24, 13.8% had unknown/unreported
residency and/or race/ethnicity, compared with 13.9% percent of the
2021-22 master’s students reported last year. Total unreported gender
across enrolled Master’s students last year was 8.1%, which decreased
this year to 5.6%.
Computer Science
This data represents Master’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
21,314
|
68.8%
|
10,377
|
75.3%
|
26
|
42.6%
|
83
|
31,800
|
70.4%
|
|
Resident, Indigenous or Alaskan Native
|
24
|
0.1%
|
5
|
0%
|
0
|
0%
|
187
|
216
|
0.5%
|
|
Resident, Asian
|
3,517
|
11.4%
|
1,600
|
11.6%
|
12
|
19.7%
|
28
|
5,157
|
11.4%
|
|
Resident, Black or African American
|
509
|
1.6%
|
303
|
2.2%
|
0
|
0%
|
3
|
815
|
1.8%
|
|
Resident, Native Hawaiian or Pacific Islander
|
16
|
0.1%
|
3
|
0%
|
0
|
0%
|
0
|
19
|
0%
|
|
Resident, White
|
4,278
|
13.8%
|
1,064
|
7.7%
|
16
|
26.2%
|
37
|
5,395
|
11.9%
|
|
Resident, More than one Race Specified, non-Hispanic
|
350
|
1.1%
|
113
|
0.8%
|
3
|
4.9%
|
2
|
468
|
1%
|
|
Resident, Hispanic, any race
|
976
|
3.2%
|
313
|
2.3%
|
4
|
6.6%
|
6
|
1,299
|
2.9%
|
|
Total Residency & Ethnicity Known
|
30,984
|
|
13,778
|
|
61
|
|
346
|
45,169
|
|
|
Residency and/or Race/Ethnicity Unknown
|
3,212
|
|
1,488
|
|
18
|
|
3,009
|
7,727
|
|
|
Total
|
34,196
|
|
15,266
|
|
79
|
|
3,355
|
52,896
|
|
Computer Engineering
This data represents Master’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
674
|
66.9%
|
238
|
80.4%
|
0
|
NaN%
|
0
|
912
|
69.9%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, Asian
|
109
|
10.8%
|
17
|
5.7%
|
0
|
NaN%
|
0
|
126
|
9.7%
|
|
Resident, Black or African American
|
17
|
1.7%
|
6
|
2%
|
0
|
NaN%
|
0
|
23
|
1.8%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, White
|
153
|
15.2%
|
25
|
8.4%
|
0
|
NaN%
|
0
|
178
|
13.7%
|
|
Resident, More than one Race Specified, non-Hispanic
|
19
|
1.9%
|
3
|
1%
|
0
|
NaN%
|
0
|
22
|
1.7%
|
|
Resident, Hispanic, any race
|
36
|
3.6%
|
7
|
2.4%
|
0
|
NaN%
|
0
|
43
|
3.3%
|
|
Total Residency & Ethnicity Known
|
1,008
|
|
296
|
|
0
|
|
0
|
1,304
|
|
|
Residency and/or Race/Ethnicity Unknown
|
184
|
|
84
|
|
0
|
|
352
|
620
|
|
|
Total
|
1,192
|
|
380
|
|
0
|
|
352
|
1,924
|
|
Bachelor’s Program Production and Enrollments
Table B1: Bachelor’s degrees awarded by department type
This data represents Master’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Dept. Type
|
# Depts.
|
CS Total
|
CS %
|
CE Total
|
CE %
|
I Total
|
I %
|
Total
|
Total %
|
|
US CS Public
|
87
|
28,993
|
70.9%
|
2,292
|
77.9%
|
2,190
|
35.5%
|
33,475
|
66.9%
|
|
US CS Private
|
31
|
7,888
|
19.3%
|
149
|
5.1%
|
764
|
12.4%
|
8,801
|
17.6%
|
|
US CS Total
|
118
|
36,881
|
90.2%
|
2,441
|
82.9%
|
2,954
|
47.9%
|
42,276
|
84.5%
|
|
US CE
|
2
|
0
|
0%
|
380
|
12.9%
|
0
|
0%
|
380
|
0.8%
|
|
US Info
|
12
|
444
|
1.1%
|
0
|
0%
|
3,210
|
52.1%
|
3,654
|
7.3%
|
|
Canada
|
10
|
3,569
|
8.7%
|
123
|
4.2%
|
0
|
0%
|
3,692
|
7.4%
|
|
Total
|
142
|
40,894
|
100%
|
2,944
|
100%
|
6,164
|
100%
|
50,002
|
100%
|
In 2023–24, Bachelor’s degree production fell 5.5% compared to the
previous year across CS, CE, and I departments. Among departments
reporting both years, the decrease was 4.3%. Despite this drop,
production remains well above pre-pandemic levels and reflects continued
strength following the post-2020 rebound. CS saw a 7.4% decrease and CE
a 13.3% decrease. However, production in the I area was up 16% compared
to last year. U.S. CS departments decreased overall production by 6%,
and U.S. CE departments decreased likewise by 6.3%. U.S. I departments
had a 15.4% increase in production and Canadian departments showed
almost flat production with a 1 percent decrease. When assessing
production per department, all department types showed decreases except
I departments compared to last year, at 1% for U.S. CS, 7.9% percent for
U.S. CE, and 1% for Canadian departments (Table B1). I departments
showed growth in average Bachelor’s degree production per department,
increasing by 25% this year to 304.5 from 243.38 last year.
Table B2: Bachelor’s degrees awarded by gender
This data represents Bachelor’s awarded during July 1, 2023 - June 30,
2024.
|
Gender
|
CS Bachelor’s Awarded
|
CS %
|
CE Bachelor’s Awarded
|
CE %
|
I Bachelor’s Awarded
|
I %
|
Total
|
Total %
|
|
Male
|
29,048
|
77%
|
2,449
|
83.5%
|
3,851
|
66.9%
|
35,348
|
76.1%
|
|
Female
|
8,621
|
22.8%
|
473
|
16.1%
|
1,902
|
33%
|
10,996
|
23.7%
|
|
Nonbinary/Other
|
66
|
0.2%
|
12
|
0.4%
|
7
|
0.1%
|
85
|
0.2%
|
|
Total Known Gender
|
37,735
|
|
2,934
|
|
5,760
|
|
46,429
|
|
|
Unknown
|
3,159
|
|
10
|
|
404
|
|
3,573
|
|
|
Total
|
40,894
|
|
2,944
|
|
6,164
|
|
50,002
|
|
Overall, compared to 2023, the proportion of CS, CE, or I Bachelor’s
degrees of known gender earned by males decreased slightly by 0.5
percentage points, whereas the proportion of those earned by females
increased slightly by 0.4 percentage points (Table B2). The proportion
of Bachelor’s degrees earned by female students in CS rose slightly to
22.8% from 22.5% last year, and also rose for I Bachelor’s degrees from
32.5% to 33% respectively compared to last year. Bachelor’s degrees
earned by male students in CS and I decreased by 0.3 and 0.5 percentage
points respectively compared to last year, but increased for CE by 2.3
percentage points compared to last year. Similarly to last year,
Bachelor’s degrees earned by unknown gender decreased by approximately
0.44 percentage points (7.15% from 7.59%) from last year across all
departments, with CE having larger percentage differentials than CS and
I.
Table B3: Bachelor’s degrees awarded by ethnicity
This data represents Bachelor’s awarded during July 1, 2023 - June 30,
2024.
|
Residency and Race/Ethnicity
|
CS Bachelor’s Awarded
|
CS %
|
CE Bachelor’s Awarded
|
CE %
|
I Bachelor’s Awarded
|
I %
|
Total
|
Total %
|
|
Nonresident Alien
|
4,865
|
14.8%
|
204
|
9.6%
|
519
|
9.1%
|
5,588
|
13.7%
|
|
Resident, Indigenous or Alaskan Native
|
234
|
0.7%
|
3
|
0.1%
|
6
|
0.1%
|
243
|
0.6%
|
|
Resident, Asian
|
10,918
|
33.2%
|
671
|
31.6%
|
1,435
|
25.2%
|
13,024
|
32%
|
|
Resident, Black or African American
|
1,397
|
4.2%
|
94
|
4.4%
|
503
|
8.8%
|
1,994
|
4.9%
|
|
Resident, Native Hawaiian or Pacific Islander
|
26
|
0.1%
|
1
|
0%
|
5
|
0.1%
|
32
|
0.1%
|
|
Resident, White
|
10,869
|
33%
|
834
|
39.3%
|
2,256
|
39.6%
|
13,959
|
34.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
1,217
|
3.7%
|
92
|
4.3%
|
294
|
5.2%
|
1,603
|
3.9%
|
|
Resident, Hispanic, any race
|
3,379
|
10.3%
|
224
|
10.6%
|
676
|
11.9%
|
4,279
|
10.5%
|
|
Total Residency & Ethnicity Known
|
32,905
|
|
2,123
|
|
5,694
|
|
40,722
|
|
|
Residency and/or Race/Ethnicity Unknown
|
7,989
|
|
821
|
|
470
|
|
9,280
|
|
|
Total
|
40,894
|
|
2,944
|
|
6,164
|
|
50,002
|
|
Among graduates whose residency and ethnicity is known, the
proportion of CS Bachelor’s degrees that went to Nonresident Aliens
decreased slightly by 0.1 percentage points, with CE and I declining
from last year 3.2 and 2.8 percentage points respectively in their
proportion of degrees earned. In aggregate across all areas, the
percentage point decrease was from 14.3% to 13.7%. The overall
percentage of Bachelor’s recipients among the combined Indigenous/Alaska
Native, Black/African-American, Native Hawaiian/Pacific Islander,
Hispanic, and More than One Race Specified categories increased to 20%
from 17.6% in 2022-23. In CS it increased from 16.8% to 19% percent. In
I, it increased to 26.1% from 24.4%. White students comprised 34.3%
percent of the 2023-24 Bachelor’s graduates vs. 37.5% in 2022-23 (Table
B3), with the proportion being attained by White students decreasing by
3.5 percentage points compared to last year in CS and by 3.6 percentage
points in I. Unreported race/ethnicity was similar in CS to that of last
year, while in CE and I there was a sizeable increase this year in the
percentage of graduates of unreported race/ethnicity (Table B3).
Table B4: Bachelor’s degrees expected next year by department
type
Bachelor’s awarded refers to those awarded during July 1, 2023 - June
30, 2024.
|
Dept. Type
|
# Depts.
|
CS Total
|
CS %
|
CE Total
|
CE %
|
I Total
|
I %
|
Total
|
Total %
|
|
US CS Public
|
84
|
29,407
|
70.2%
|
1,986
|
74.1%
|
1,508
|
30%
|
32,901
|
66.3%
|
|
US CS Private
|
28
|
7,769
|
18.5%
|
165
|
6.2%
|
484
|
9.6%
|
8,418
|
17%
|
|
US CS Total
|
112
|
37,176
|
88.7%
|
2,151
|
80.2%
|
1,992
|
39.6%
|
41,319
|
83.3%
|
|
US CE
|
2
|
0
|
0%
|
463
|
17.3%
|
0
|
0%
|
463
|
0.9%
|
|
US Info
|
12
|
463
|
1.1%
|
0
|
0%
|
3,042
|
60.4%
|
3,505
|
7.1%
|
|
Canada
|
8
|
4,273
|
10.2%
|
67
|
2.5%
|
0
|
0%
|
4,340
|
8.7%
|
|
Total
|
134
|
41,912
|
100%
|
2,681
|
100%
|
5,034
|
100%
|
49,627
|
100%
|
Table B5: New Bachelor’s students by department type
This data represents newly admitted Bachelor’s students enrolled in Fall
2024.
Scroll horizontally to view additional columns and totals.
|
|
CS
|
CE
|
I
|
Total
|
|
Dept. Type
|
CS Majors
|
CS Pre-majors
|
CS # Depts.
|
CS Avg. Majors per. Dept.
|
CE Majors
|
CE Pre-majors
|
CE # Depts.
|
CE Avg. Majors per. Dept.
|
I Majors
|
I Pre-majors
|
I # Depts.
|
I Avg. Majors per. Dept.
|
Total Majors
|
Avg. Majors per. dept.
|
|
US CS Public
|
35,998
|
8,321
|
87
|
429
|
2,575
|
1,477
|
26
|
103
|
3,102
|
149
|
23
|
135
|
41,675
|
490
|
|
US CS Private
|
7,331
|
3,165
|
28
|
282
|
168
|
23
|
8
|
24
|
410
|
16
|
4
|
102
|
7,909
|
304
|
|
US CS Total
|
43,329
|
11,486
|
115
|
394
|
2,743
|
1,500
|
34
|
86
|
3,512
|
165
|
27
|
130
|
49,584
|
447
|
|
US CE
|
0
|
0
|
1
|
NaN
|
430
|
0
|
2
|
215
|
0
|
0
|
0
|
NaN
|
430
|
215
|
|
US Info
|
326
|
271
|
3
|
163
|
0
|
0
|
0
|
NaN
|
2,042
|
688
|
12
|
186
|
2,368
|
215
|
|
Canada
|
4,181
|
1,031
|
10
|
418
|
234
|
0
|
1
|
234
|
0
|
0
|
0
|
NaN
|
4,415
|
442
|
|
Total
|
47,836
|
12,788
|
129
|
392
|
3,407
|
1,500
|
37
|
97
|
5,554
|
853
|
39
|
146
|
56,797
|
424
|
The 2024-25 cohort brought mixed news relative to changes in new
undergraduate majors. In CS, the average number of new undergraduate
majors per department increased 8.3%, from 362.1 to 392. The average
number of I majors per department also increased from 107.5 to 146, for
a change of 35.8% from 2023.
In aggregate across all three areas, U.S. CS departments reported an
increase in new majors per department of 12.8%, U.S. CE departments
increased by 38.9%, and U.S. I departments increased by 25.1%. Canadian
departments decreased by 15.7%. Within the U.S. CS departments, those in
private institutions had an 18.2% decrease, while the increase among
those in public institutions was just 21.3%. The overall increase in new
majors per department aggregated across all department types and all
areas was 10.9% (Table B5).
Table 1 provides year-over-year comparisons based on the total number
of new reported majors, without regard to the number of departments that
reported. For departments that responded both years, the data shows a
9.9% increase in total new reported majors across all department types,
and a 12.6% increase among U.S. CS departments.
Table B6: Total Bachelor’s enrollment by department type
This data represents Bachelor’s students were enrolled on average last
year between July 1, 2023 - June 30, 2024.
|
|
CS
|
CE
|
I
|
Total
|
|
Dept. Type
|
CS Majors
|
CS Pre-majors
|
CS # Depts.
|
CS Avg. Majors per. Dept.
|
CE Majors
|
CE Pre-majors
|
CE # Depts.
|
CE Avg. Majors per. Dept.
|
I Majors
|
I Pre-majors
|
I # Depts.
|
I Avg. Majors per. Dept.
|
Total Majors
|
Avg. Majors per. dept.
|
|
US CS Public
|
139,268
|
18,672
|
86
|
1,638
|
9,392
|
2,719
|
36
|
376
|
13,296
|
452
|
24
|
554
|
161,956
|
1862
|
|
US CS Private
|
31,461
|
3,315
|
32
|
983
|
763
|
21
|
12
|
85
|
3,200
|
28
|
6
|
533
|
35,424
|
1107
|
|
US CS Total
|
170,729
|
21,987
|
118
|
1,459
|
10,155
|
2,740
|
48
|
299
|
16,496
|
480
|
30
|
550
|
197,380
|
1659
|
|
US CE
|
384
|
0
|
1
|
384
|
1,570
|
18
|
2
|
1,570
|
0
|
0
|
0
|
NaN
|
1,954
|
977
|
|
US Info
|
1,825
|
271
|
2
|
912
|
0
|
0
|
1
|
NaN
|
11,322
|
884
|
11
|
1,029
|
13,147
|
1195
|
|
Canada
|
21,172
|
2,594
|
11
|
1,925
|
1,192
|
1,192
|
2
|
1,192
|
0
|
0
|
0
|
NaN
|
22,364
|
2033
|
|
Total
|
194,110
|
24,852
|
132
|
1,482
|
12,917
|
3,950
|
53
|
359
|
27,818
|
1,364
|
41
|
678
|
234,845
|
1642
|
Across CS, CE, and I degrees, there was an increase in the total
Bachelor’s enrollment in 2023-2024 by 6.6% across all departments, and a
12.5% increase of average majors per department. The only department
types that experienced an overall decrease were Canadian departments,
with a decrease in total enrolled majors across CS, CE, and I by 1.5%
and a decrease in average majors per department by 10.4%.
When considering CS Bachelor’s enrollment, total CS enrollment
aggregated across all department types increased by 7.3%. All department
types exhibited increases in the average number of CS majors per
department (Table B6), except Canadian departments with a slight
decrease from 1,931.2 to 1,925 per department (0.3%).
In the I area, enrollment also increased in 2023-24. Total enrollment
increased 16.9%, while the average number of I majors per reporting
department increased by 22.5% When U.S. I departments alone are
considered, the average number of I majors per department increases to
47.1%.
In CE, total reported enrollment decreased by 18%, but the average
number of majors per department increased by 16.9%. The CE values also
are more strongly influenced by changes in the specific departments
reporting from year to year.
Table B7: Bachelor’s degrees awarded by gender and
ethnicity
The difference in total proportion of Computer Science Bachelor’s
degrees awarded based on gender and race/ethnicity (Table B7) mostly
stayed consistent from last year for different gender/racial/ethnic
groups. The largest increase for proportions of degrees earned by male
students was for Hispanic male students (1.3 percentage points). The
largest decrease for proportions of degrees earned by male students was
for White male students (3.6 percentage points). The largest increase
for proportions of degrees earned by female students was for Hispanic
female students (1.5 percentage points). The largest decrease for
proportions of degrees earned by female students was for White female
students (3.6 percentage points).
For Computer Engineering Bachelor’s degrees, there were also low
differences compared to last year based on degrees earned by
gender/race/ethnicity (Table B7). The largest increase for proportions
of degrees earned by male students was for Black or African American
students (1.3 percentage points) and for Hispanic students (1.3
percentages). The largest decrease in the proportion of degrees earned
by male students was for White male students, with a 3 percentage point
decrease. The largest increase for proportions of degrees going to
female students was for female Nonresident Aliens, with an increase of
4.6 percentage points. The largest decrease in the proportion of degrees
awarded to female students was for Hispanic female and White female
students, with 2.1 and 2 percentage point decreases respectively.
For Information Bachelor’s degrees, there were also low differences
compared to last year based on degrees earned by gender/race/ethnicity
(Table B7). Similar to both Computer Science and Computer Engineering
Bachelor’s degrees, the largest decrease in the proportion of degrees
earned by male students was for White male students, with a 3.4
percentage point decrease. The largest increase in the proportion of
Information Bachelor’s degrees earned by male students was for Asian
male students, with a 2.5 percentage point increase. The largest
decrease in the proportion of degrees earned by female students was for
White female students, with a 6.3 percentage point decrease. The largest
increase in the proportion of Information Bachelor’s degrees earned by
female students was for Asian female students, with a 4.1 percentage
point decrease.
Computer Science
This data represents Bachelor’s awarded during July 1, 2023 - June 30,
2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
3,568
|
14.1%
|
1,265
|
17%
|
6
|
10.9%
|
26
|
4,865
|
14.8%
|
|
Resident, Indigenous or Alaskan Native
|
188
|
0.7%
|
44
|
0.6%
|
0
|
0%
|
2
|
234
|
0.7%
|
|
Resident, Asian
|
7,856
|
31.1%
|
3,010
|
40.5%
|
10
|
18.2%
|
42
|
10,918
|
33.2%
|
|
Resident, Black or African American
|
1,017
|
4%
|
367
|
4.9%
|
2
|
3.6%
|
11
|
1,397
|
4.2%
|
|
Resident, Native Hawaiian or Pacific Islander
|
23
|
0.1%
|
2
|
0%
|
0
|
0%
|
1
|
26
|
0.1%
|
|
Resident, White
|
8,918
|
35.4%
|
1,820
|
24.5%
|
33
|
60%
|
98
|
10,869
|
33%
|
|
Resident, More than one Race Specified, non-Hispanic
|
943
|
3.7%
|
263
|
3.5%
|
2
|
3.6%
|
9
|
1,217
|
3.7%
|
|
Resident, Hispanic, any race
|
2,714
|
10.8%
|
653
|
8.8%
|
2
|
3.6%
|
10
|
3,379
|
10.3%
|
|
Total Residency & Ethnicity Known
|
25,227
|
|
7,424
|
|
55
|
|
199
|
32,905
|
|
|
Residency and/or Race/Ethnicity Unknown
|
3,821
|
|
1,197
|
|
11
|
|
2,960
|
7,989
|
|
|
Total
|
29,048
|
|
8,621
|
|
66
|
|
3,159
|
40,894
|
|
Computer Engineering
This data represents Bachelor’s awarded during July 1, 2023 - June 30,
2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
158
|
9%
|
46
|
12.8%
|
0
|
0%
|
0
|
204
|
9.6%
|
|
Resident, Indigenous or Alaskan Native
|
3
|
0.2%
|
0
|
0%
|
0
|
0%
|
0
|
3
|
0.1%
|
|
Resident, Asian
|
533
|
30.4%
|
136
|
38%
|
2
|
25%
|
0
|
671
|
31.6%
|
|
Resident, Black or African American
|
75
|
4.3%
|
19
|
5.3%
|
0
|
0%
|
0
|
94
|
4.4%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
1
|
0.3%
|
0
|
0%
|
0
|
1
|
0%
|
|
Resident, White
|
716
|
40.8%
|
113
|
31.6%
|
4
|
50%
|
1
|
834
|
39.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
78
|
4.4%
|
12
|
3.4%
|
2
|
25%
|
0
|
92
|
4.3%
|
|
Resident, Hispanic, any race
|
193
|
11%
|
31
|
8.7%
|
0
|
0%
|
0
|
224
|
10.6%
|
|
Total Residency & Ethnicity Known
|
1,756
|
|
358
|
|
8
|
|
1
|
2,123
|
|
|
Residency and/or Race/Ethnicity Unknown
|
693
|
|
115
|
|
4
|
|
9
|
821
|
|
|
Total
|
2,449
|
|
473
|
|
12
|
|
10
|
2,944
|
|
Table B8: Bachelor’s enrollment by gender and
ethnicity
This year, the fraction of the total CS bachelor’s enrollment in
2023-24 that is female increased from 23.1 percent to 23.8 percent of
those whose gender was known. The difference in total proportion of
Computer Science Bachelor’s enrollment based on gender and
race/ethnicity (Table B8) mostly stayed consistent from last year for
different gender/racial/ethnic groups. The largest increase for the
proportion of CS enrollment of male students was for male Nonresident
Alien students (1.2 percentage points). The largest decrease for the
proportion of CS enrollment of male students was for White male students
(2.5 percentage points). The largest increase for proportions of CS
enrollment of female students was for female Nonresident Alien students
(1.5 percentage points). The largest decrease for proportions of CS
enrollment of female students was for White female students (2.1
percentage points). Resident Asians and Non-resident Aliens continue to
comprise a larger fraction of female CS enrollment than male enrollment,
while a larger fraction of male enrollment than female enrollment is
White (Table B8a).
The fraction of the total CE Bachelor’s enrollment in 2023-24 that is
female increased from 17.3 percent to 18.9 percent of those whose gender
was known. The difference in total proportion of CE Bachelor’s
enrollment based on gender and race/ethnicity (Table B8) mostly stayed
consistent from last year for different gender/racial/ethnic groups. The
largest increase for the proportion of CE enrollment of male students
was for Asian male students (2.1 percentage points). The largest
decrease for the proportion of CE enrollment of male students was for
White male students (4.1 percentage points). The largest increase for
proportions of CE enrollment of female students was for Asian female
students (1.4 percentage points). The largest decrease for proportions
of CE enrollment of female students was for White female students (2.2
percentage points). Resident Asians and Non-resident Aliens continue to
comprise a larger fraction of female CE enrollment than male enrollment,
while a larger fraction of male enrollment than female enrollment is
White (Table B8b).
This year, the fraction of the total I bachelor’s enrollment in
2023-24 that is female increased from 25.5% to 29.9% of those whose
gender was known. The difference in total proportion of I Bachelor’s
enrollment based on gender and race/ethnicity (Table B8) mostly stayed
consistent from last year for different gender/racial/ethnic groups. The
largest increase for the proportion of I enrollment of male students was
for male Asian male students (1.7 percentage points). The largest
decrease for the proportion of I enrollment of male students was for
White male students (4.1 percentage points). The largest increase for
proportions of I enrollment of female students was for Black female
students (3.3 percentage points). The largest decrease for proportions
of I enrollment of female students was for White female students (6.4
percentage points). Resident Asians and Non-resident Aliens continue to
comprise a larger fraction of female I enrollment than male enrollment,
while a larger fraction of male enrollment than female enrollment is
White (Table B8).
Computer Science
This data represents Bachelor’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
15,374
|
13.4%
|
5,282
|
14.7%
|
10
|
3.5%
|
639
|
21,305
|
13.9%
|
|
Resident, Indigenous or Alaskan Native
|
260
|
0.2%
|
67
|
0.2%
|
0
|
0%
|
1
|
328
|
0.2%
|
|
Resident, Asian
|
32,560
|
28.3%
|
12,931
|
35.9%
|
69
|
24.4%
|
495
|
46,055
|
30.1%
|
|
Resident, Black or African American
|
7,263
|
6.3%
|
2,895
|
8%
|
11
|
3.9%
|
78
|
10,247
|
6.7%
|
|
Resident, Native Hawaiian or Pacific Islander
|
107
|
0.1%
|
36
|
0.1%
|
0
|
0%
|
0
|
143
|
0.1%
|
|
Resident, White
|
39,211
|
34.1%
|
8,827
|
24.5%
|
138
|
48.8%
|
417
|
48,593
|
31.7%
|
|
Resident, More than one Race Specified, non-Hispanic
|
4,653
|
4%
|
1,514
|
4.2%
|
14
|
4.9%
|
54
|
6,235
|
4.1%
|
|
Resident, Hispanic, any race
|
15,635
|
13.6%
|
4,500
|
12.5%
|
41
|
14.5%
|
91
|
20,267
|
13.2%
|
|
Total Residency & Ethnicity Known
|
115,063
|
|
36,052
|
|
283
|
|
1,775
|
153,173
|
|
|
Residency and/or Race/Ethnicity Unknown
|
20,381
|
|
6,443
|
|
671
|
|
13,442
|
40,937
|
|
|
Total
|
135,444
|
|
42,495
|
|
954
|
|
15,217
|
194,110
|
|
Computer Engineering
This data represents Bachelor’s students enrolled on average last year
between July 1, 2023 - June 30, 2024.
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
857
|
9.7%
|
222
|
11.1%
|
3
|
9.1%
|
0
|
1,082
|
9.9%
|
|
Resident, Indigenous or Alaskan Native
|
12
|
0.1%
|
1
|
0%
|
0
|
0%
|
0
|
13
|
0.1%
|
|
Resident, Asian
|
2,577
|
29.1%
|
713
|
35.6%
|
11
|
33.3%
|
1
|
3,302
|
30.3%
|
|
Resident, Black or African American
|
553
|
6.2%
|
153
|
7.6%
|
2
|
6.1%
|
1
|
709
|
6.5%
|
|
Resident, Native Hawaiian or Pacific Islander
|
6
|
0.1%
|
2
|
0.1%
|
0
|
0%
|
0
|
8
|
0.1%
|
|
Resident, White
|
3,183
|
35.9%
|
526
|
26.2%
|
12
|
36.4%
|
3
|
3,724
|
34.1%
|
|
Resident, More than one Race Specified, non-Hispanic
|
365
|
4.1%
|
90
|
4.5%
|
1
|
3%
|
1
|
457
|
4.2%
|
|
Resident, Hispanic, any race
|
1,311
|
14.8%
|
297
|
14.8%
|
4
|
12.1%
|
1
|
1,613
|
14.8%
|
|
Total Residency & Ethnicity Known
|
8,864
|
|
2,004
|
|
33
|
|
7
|
10,908
|
|
|
Residency and/or Race/Ethnicity Unknown
|
1,533
|
|
427
|
|
7
|
|
42
|
2,009
|
|
|
Total
|
10,397
|
|
2,431
|
|
40
|
|
49
|
12,917
|
|
Table B9: Undergraduate representative course
enrollments, department-level percentiles
Intro for Non-Majors
|
2024
|
# of Departments
|
25%
|
50%
|
75%
|
|
Number of Students in Course
|
104
|
95.8
|
171.0
|
431.2
|
|
% of Students Who Are CS Majors
|
82
|
0.0
|
6.1
|
48.1
|
|
% of Students Who Are Female
|
65
|
31.6
|
55.6
|
70.4
|
|
% of Students Who Are BHN
|
56
|
25.0
|
35.2
|
42.1
|
The Taulbee Survey also has been viewing enrollment using selected CS
course level data. Such data was first reported in CRA’s
Generation-CS report
for the fall terms in 2005, 2010 and 2015. The Taulbee Survey began
collecting follow-up data in the 2016 survey, and now does so annually.
Table B9 provides data on four types of departmental courses: an
introductory course for non-majors, an introductory course for majors,
an intermediate level course, and an upper-level course. Departments
select an appropriate course at their institution in each category; they
are asked to provide the total enrollment in each of these courses, and
the percentage enrollment within the course for majors and specific
gender and race/ethnicity categories. The table shows the quartile
values for the data reported by these departments. Compared to prior
years, Table B9 only includes data from the 2023-2024 academic year.
This is due to changes in reporting; these values should not be compared
to prior years’ B9 table. We will return with longitudinal comparisons
next year.
Intro for Majors
|
2024
|
# of Departments
|
25%
|
50%
|
75%
|
|
Number of Students in Course
|
110
|
175.8
|
335.5
|
597.0
|
|
% of Students Who Are CS Majors
|
90
|
41.6
|
54.5
|
77.8
|
|
% of Students Who Are Female
|
70
|
18.1
|
25.6
|
38.4
|
|
% of Students Who Are BHN
|
59
|
16.4
|
25.9
|
36.1
|
The Taulbee Survey also has been viewing enrollment using selected CS
course level data. Such data was first reported in CRA’s
Generation-CS report
for the fall terms in 2005, 2010 and 2015. The Taulbee Survey began
collecting follow-up data in the 2016 survey, and now does so annually.
Table B9 provides data on four types of departmental courses: an
introductory course for non-majors, an introductory course for majors,
an intermediate level course, and an upper-level course. Departments
select an appropriate course at their institution in each category; they
are asked to provide the total enrollment in each of these courses, and
the percentage enrollment within the course for majors and specific
gender and race/ethnicity categories. The table shows the quartile
values for the data reported by these departments. Compared to prior
years, Table B9 only includes data from the 2023-2024 academic year.
This is due to changes in reporting; these values should not be compared
to prior years’ B9 table. We will return with longitudinal comparisons
next year.
Mid-Level
|
2024
|
# of Departments
|
25%
|
50%
|
75%
|
|
Number of Students in Course
|
108
|
132.0
|
197.5
|
406.0
|
|
% of Students Who Are CS Majors
|
90
|
55.1
|
66.2
|
84.3
|
|
% of Students Who Are Female
|
70
|
16.3
|
20.4
|
28.3
|
|
% of Students Who Are BHN
|
59
|
11.8
|
20.4
|
27.4
|
The Taulbee Survey also has been viewing enrollment using selected CS
course level data. Such data was first reported in CRA’s
Generation-CS report
for the fall terms in 2005, 2010 and 2015. The Taulbee Survey began
collecting follow-up data in the 2016 survey, and now does so annually.
Table B9 provides data on four types of departmental courses: an
introductory course for non-majors, an introductory course for majors,
an intermediate level course, and an upper-level course. Departments
select an appropriate course at their institution in each category; they
are asked to provide the total enrollment in each of these courses, and
the percentage enrollment within the course for majors and specific
gender and race/ethnicity categories. The table shows the quartile
values for the data reported by these departments. Compared to prior
years, Table B9 only includes data from the 2023-2024 academic year.
This is due to changes in reporting; these values should not be compared
to prior years’ B9 table. We will return with longitudinal comparisons
next year.
Upper-Level
|
2024
|
# of Departments
|
25%
|
50%
|
75%
|
|
Number of Students in Course
|
107
|
78.5
|
152.0
|
327.0
|
|
% of Students Who Are CS Majors
|
88
|
61.9
|
71.8
|
83.8
|
|
% of Students Who Are Female
|
69
|
13.4
|
16.9
|
21.5
|
|
% of Students Who Are BHN
|
59
|
8.8
|
16.7
|
22.8
|
The Taulbee Survey also has been viewing enrollment using selected CS
course level data. Such data was first reported in CRA’s
Generation-CS report
for the fall terms in 2005, 2010 and 2015. The Taulbee Survey began
collecting follow-up data in the 2016 survey, and now does so annually.
Table B9 provides data on four types of departmental courses: an
introductory course for non-majors, an introductory course for majors,
an intermediate level course, and an upper-level course. Departments
select an appropriate course at their institution in each category; they
are asked to provide the total enrollment in each of these courses, and
the percentage enrollment within the course for majors and specific
gender and race/ethnicity categories. The table shows the quartile
values for the data reported by these departments. Compared to prior
years, Table B9 only includes data from the 2023-2024 academic year.
This is due to changes in reporting; these values should not be compared
to prior years’ B9 table. We will return with longitudinal comparisons
next year.
Faculty Demographics
Table F1: Actual and anticipated faculty size by
position and department type
US CS Public
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
2464.2
|
36.8
|
2660.2
|
39.7
|
2801.2
|
41.8
|
337.0
|
13.7%
|
67
|
|
Teaching Professors
|
664.1
|
10.7
|
699.5
|
11.3
|
757.0
|
12.2
|
92.9
|
14%
|
62
|
|
Other Instructors
|
488.0
|
9.2
|
488.0
|
9.4
|
513.5
|
9.7
|
25.5
|
5.2%
|
53
|
|
Non-Tenure-Track Researcher Faculty
|
106.2
|
3.3
|
117.0
|
3.3
|
123.0
|
3.8
|
16.8
|
15.8%
|
32
|
|
Postdoctorates
|
153.5
|
4.3
|
171.5
|
4.8
|
195.0
|
5.4
|
41.5
|
27%
|
36
|
|
Total
|
3876.0
|
64.3
|
4136.2
|
68.5
|
4389.7
|
72.9
|
513.7
|
13.3%
|
|
US CS Private
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
1141.0
|
49.6
|
1208.4
|
52.5
|
1256.4
|
54.6
|
115.4
|
10.1%
|
23
|
|
Teaching Professors
|
288.1
|
14.4
|
308.1
|
15.4
|
325.1
|
16.3
|
37.0
|
12.8%
|
20
|
|
Other Instructors
|
146.2
|
9.1
|
146.2
|
10.6
|
180.0
|
11.2
|
33.8
|
23.1%
|
16
|
|
Non-Tenure-Track Researcher Faculty
|
107.0
|
8.9
|
111.0
|
8.9
|
112.0
|
9.3
|
5.0
|
4.7%
|
12
|
|
Postdoctorates
|
188.0
|
13.4
|
196.0
|
14.0
|
203.0
|
14.5
|
15.0
|
8%
|
14
|
|
Total
|
1870.3
|
95.4
|
1969.7
|
101.4
|
2076.5
|
105.9
|
206.2
|
11%
|
|
US CS Total
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
3605.1
|
40.1
|
3868.7
|
43.0
|
4057.7
|
45.1
|
452.6
|
12.6%
|
90
|
|
Teaching Professors
|
952.2
|
11.6
|
1007.6
|
12.3
|
1082.1
|
13.2
|
129.9
|
13.6%
|
82
|
|
Other Instructors
|
634.2
|
9.2
|
634.2
|
9.7
|
693.5
|
10.1
|
59.3
|
9.4%
|
69
|
|
Non-Tenure-Track Researcher Faculty
|
213.2
|
4.8
|
228.0
|
4.8
|
235.0
|
5.3
|
21.8
|
10.2%
|
44
|
|
Postdoctorates
|
341.5
|
6.8
|
367.5
|
7.4
|
398.0
|
8.0
|
56.5
|
16.5%
|
50
|
|
Total
|
5746.2
|
72.5
|
6106.0
|
77.2
|
6466.3
|
81.7
|
720.1
|
12.5%
|
|
US CE
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
0
|
|
Teaching Professors
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
0
|
|
Other Instructors
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
0
|
|
Non-Tenure-Track Researcher Faculty
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
0
|
|
Postdoctorates
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
0
|
|
Total
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN
|
0
|
NaN%
|
|
US Info
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
288.6
|
36.1
|
301.0
|
37.6
|
309.8
|
38.7
|
21.2
|
7.3%
|
8
|
|
Teaching Professors
|
158.6
|
19.8
|
167.2
|
20.9
|
174.2
|
21.8
|
15.6
|
9.8%
|
8
|
|
Other Instructors
|
23.0
|
3.8
|
23.0
|
7.8
|
47.0
|
7.8
|
24.0
|
104.3%
|
6
|
|
Non-Tenure-Track Researcher Faculty
|
4.8
|
1.2
|
6.0
|
1.2
|
6.0
|
1.5
|
1.2
|
25%
|
4
|
|
Postdoctorates
|
16.0
|
3.2
|
23.0
|
4.6
|
24.0
|
4.8
|
8.0
|
50%
|
5
|
|
Total
|
491.0
|
64.1
|
520.2
|
72.1
|
561.0
|
74.6
|
70.0
|
14.3%
|
|
Canadian
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
326.4
|
46.6
|
353.5
|
50.5
|
353.5
|
50.5
|
27.1
|
8.3%
|
7
|
|
Teaching Professors
|
40.8
|
13.6
|
41.7
|
13.9
|
42.7
|
14.2
|
1.9
|
4.7%
|
3
|
|
Other Instructors
|
34.0
|
8.5
|
34.0
|
8.5
|
31.0
|
7.8
|
-3.0
|
-8.8%
|
4
|
|
Postdoctorates
|
45.0
|
15.0
|
46.0
|
15.3
|
47.0
|
15.7
|
2.0
|
4.4%
|
3
|
|
Total
|
446.2
|
83.7
|
475.2
|
88.2
|
474.2
|
88.2
|
28.0
|
6.3%
|
|
Grand Total
Please note that due to changes in data analysis, this table is not
directly comparable to last year’s table.
|
|
Actual
|
Projected
|
|
|
|
2024-2025
|
2025-2026
|
2026-2027
|
Expected 2-Year Growth
|
# Depts
|
|
Role
|
Total
|
Avg
|
Total*
|
Avg*
|
Total**
|
Avg**
|
Diff.
|
%
|
n
|
|
Tenure-Track Faculty
|
4220.1
|
40.2
|
4523.3
|
43.1
|
4721.0
|
45.0
|
500.9
|
11.9%
|
105
|
|
Teaching Professors
|
1151.6
|
12.4
|
1216.4
|
13.1
|
1298.9
|
14.0
|
147.3
|
12.8%
|
93
|
|
Other Instructors
|
691.2
|
8.7
|
691.2
|
9.5
|
771.5
|
9.8
|
80.3
|
11.6%
|
79
|
|
Non-Tenure-Track Researcher Faculty
|
217.9
|
4.5
|
234.0
|
4.5
|
241.0
|
5.0
|
23.1
|
10.6%
|
48
|
|
Postdoctorates
|
402.5
|
6.9
|
436.5
|
7.5
|
469.0
|
8.1
|
66.5
|
16.5%
|
58
|
|
Total
|
6683.3
|
72.7
|
7101.4
|
77.7
|
7501.4
|
81.9
|
818.1
|
12.2%
|
|
Table F2: Vacant positions by position and department
type
US CS Public
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
310.0
|
70
|
266.0
|
69
|
|
Teaching Professors
|
123.5
|
52
|
106.5
|
52
|
|
Other Instructors
|
68.0
|
23
|
65.0
|
25
|
|
Non-Tenure-Track Researcher Faculty
|
25.0
|
4
|
29.0
|
7
|
|
Postdoctorates
|
52.5
|
18
|
65.5
|
23
|
|
Total
|
579.0
|
79
|
532.0
|
83
|
US CS Private
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
103
|
27
|
113
|
28
|
|
Teaching Professors
|
38
|
13
|
82
|
13
|
|
Other Instructors
|
15
|
7
|
28
|
8
|
|
Non-Tenure-Track Researcher Faculty
|
8
|
4
|
16
|
5
|
|
Postdoctorates
|
38
|
10
|
41
|
10
|
|
Total
|
202
|
28
|
280
|
31
|
US CS Total
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
413.0
|
97
|
379.0
|
97
|
|
Teaching Professors
|
161.5
|
65
|
188.5
|
65
|
|
Other Instructors
|
83.0
|
30
|
93.0
|
33
|
|
Non-Tenure-Track Researcher Faculty
|
33.0
|
8
|
45.0
|
12
|
|
Postdoctorates
|
90.5
|
28
|
106.5
|
33
|
|
Total
|
781.0
|
107
|
812.0
|
114
|
US CE
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
6
|
2
|
4
|
2
|
|
Teaching Professors
|
1
|
1
|
1
|
1
|
|
Other Instructors
|
1
|
1
|
1
|
1
|
|
Non-Tenure-Track Researcher Faculty
|
0
|
0
|
0
|
0
|
|
Postdoctorates
|
0
|
0
|
0
|
0
|
|
Total
|
8
|
2
|
6
|
2
|
US Info
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
38
|
11
|
35
|
10
|
|
Teaching Professors
|
20
|
9
|
18
|
9
|
|
Other Instructors
|
3
|
2
|
3
|
3
|
|
Non-Tenure-Track Researcher Faculty
|
0
|
0
|
0
|
0
|
|
Postdoctorates
|
21
|
4
|
23
|
5
|
|
Total
|
82
|
11
|
79
|
12
|
Canadian
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
61
|
10
|
39
|
10
|
|
Teaching Professors
|
10
|
5
|
8
|
5
|
|
Other Instructors
|
6
|
3
|
2
|
2
|
|
Non-Tenure-Track Researcher Faculty
|
0
|
0
|
0
|
0
|
|
Postdoctorates
|
11
|
2
|
37
|
4
|
|
Total
|
88
|
11
|
86
|
11
|
Grand Total
|
Role
|
Tried to Fill
|
# Unique Depts - Tried to Fill
|
Filled
|
# Unique Depts - Filled
|
|
Tenure-Track Faculty
|
518.0
|
120
|
457.0
|
119
|
|
Teaching Professors
|
192.5
|
80
|
215.5
|
80
|
|
Other Instructors
|
93.0
|
36
|
99.0
|
39
|
|
Non-Tenure-Track Researcher Faculty
|
33.0
|
8
|
45.0
|
12
|
|
Postdoctorates
|
122.5
|
34
|
166.5
|
42
|
|
Total
|
959.0
|
131
|
983.0
|
139
|
Table F2a: Reasons positions left unfilled
|
Reasons
|
# Reported
|
|
Didn’t find a person who met our hiring goals
|
25
|
|
Offers turned down
|
59
|
|
Technically vacant, not filled for administrative reasons
|
4
|
|
Hiring in progress
|
29
|
|
Other
|
5
|
|
Total
|
122
|
Table F1 shows the current (2024-25) and future anticipated sizes, in
FTE, for tenure-track, teaching, and research faculty, and postdocs.
Teaching faculty are separately reported in subcategories called
Teaching professors and other instructors. Teaching professors on
average have more varied responsibilities in teaching, scholarship,
service/governance, etc., and higher expectations for visibility outside
the unit or the institution. Other instructors are more focused on
teaching introductory or mid-level courses and tend to have shorter
contract lengths, though they are still full-time faculty (the Taulbee
Survey does not collect data on course-by-course adjuncts other than
typical stipends per course; see the section on faculty salaries).
The right hand column of Table F1 shows, for each row, the number of
departments that provided non-zero values for actual 2024-2025 faculty
in the particular category. This year, due to changes in data
processing, these statistics are not comparable to last year’s
statistics. They represent institutions that provided non-zero data
across both their institution’s actual faculty sizes of 2024-2025 and
projected faculty sizes for both 2025-2026 and 2026-2027.
Among U.S. CS departments, faculty sizes in private institutions are
on average larger than those in public institutions in both tenure-track
(49.6 for private and 36.8 for public) and total faculty size (95.4 for
private and 64.3 for public). Canadian departments, on average, are
larger than U.S. CS departments, in terms of both tenure-track and total
faculty. Their average tenure-track faculty size exceeds that of U.S. CS
departments in public institutions and is slightly smaller than that of
U.S. CS departments in private institutions. U.S. I departments are
similar in total faculty size to U.S. CS Public departments with US I
36.1 tenure track faculty and US CS Public at 36.8 tenure track faculty
and similar total faculty sizes of 64.1 and 64.3 respectively. US I
departments have more teaching professors than US CS public (19.8 in US
I versus 10.7 in US CS Public), but US CS Public has more other
instructors (3.8 in US I versus 9.2 in US CS public). When examining the
size of I departments, it is important to note that we ask departments
to report only computing-related faculty, so departments with Library
Science programs may report only part of their faculty.
Table F2 summarizes faculty hiring this past year. We see many
instances of departments hiring more faculty than they tried to fill.
This can happen for a number of reasons—departmental leadership
negotiating additional positions based on institutional incentives or
departmental needs. In addition, we sometimes see Other Instructor hires
increase over “Tried to Fill” metrics when tenure-track or teaching
professor hires have not been filled and the departments need to hire to
fulfill teaching demands. We report on both—average fill rates including
the over 100% to reflect the actual performance of the department type’s
hiring and topping the fill rates at 100% to equitably compare
departments. Similar to last year, the top reason for positions left
unfilled, as shown in Figure 2a, was that “offers were turned down” at
48.36% (down from 53% last year).
A total of 983 new hires were reported in aggregate across all
department types this year– a 2.08% increase from last year’s 963
faculty hires. Departments were overall more successful in hiring
faculty in all roles this year if we top out the fill rate at 100%. If
we do not top out the fill rate at 100%, then overall, faculty hiring of
other instructors was a bit less because this year departments had a
fill rate of 106.45% and last year, the fill rate was 109.76%. US CS
departments did better than last year in filling position openings in
all roles with the highest percent changes in teaching professors at
34.67% (86.67% fill rate last year and 116.72% fill rate this year),
27.07% change in hiring non-tenure research faculty (107.32% fill rate
last year and 136.36% fill rate this year), and 19.73% change hiring
tenure track faculty (76.65% fill last year and 91.77% fill this year).
Similar to last year, US CS private institutions had higher percentage
fill rates–at over 100% for each role, whereas US CS public institutions
had 85.81% fill rate for tenure track faculty, 86.23% fill rate for
teaching professors, and 95.59% fill rate for other instructors.
US CE departments did not do as well as last year, however last year
US CE departments had a 100% fill rate hiring 20 positions total,
whereas this year, we see only 6 hires filling 8 positions and not
filling two tenure track positions. US I departments had a success rate
of 96.34% if we include the fill rates of over 100% and 93.9% if we top
each fill rate at 100%–overall, US I schools were more successful at
hiring this past year raising tenure track hiring from 81.48% fill rate
to 92.11% fill rate and teaching professors raised 11.2 percentage
points from last year. Canadian departments had a slightly higher
success rate than last year at 69.32%—up from 55.9% last year and 68.8%
reported two years ago. Canadian departments were successful at hiring
postdoctorates–trying to fill 11 positions and hiring 37, whereas
Canadian departments filled 63.93% of tenure track positions, 80% of
teaching professor positions, and 33.3% of other instructors.
Table F3: Gender of newly hired faculty
|
|
Tenure-Track
|
Teaching Professors
|
Other Instructors
|
Researchers
|
Postdoctorates
|
Total
|
|
Gender
|
TT
|
TT %
|
TP
|
TP %
|
OI
|
OI %
|
R
|
R %
|
PD
|
PD %
|
Total
|
Total %
|
|
Male
|
327
|
71.9%
|
106
|
64.2%
|
54
|
72%
|
25
|
80.6%
|
115
|
74.2%
|
627
|
71.2%
|
|
Female
|
128
|
28.1%
|
58
|
35.2%
|
20
|
26.7%
|
6
|
19.4%
|
39
|
25.2%
|
251
|
28.5%
|
|
Nonbinary/Other
|
0
|
0%
|
1
|
0.6%
|
1
|
1.3%
|
0
|
0%
|
1
|
0.6%
|
3
|
0.3%
|
|
Total Known Gender
|
455
|
|
165
|
|
75
|
|
31
|
|
155
|
|
881
|
|
|
Gender Unknown
|
16
|
|
0
|
|
3
|
|
2
|
|
19
|
|
40
|
|
|
Total
|
471
|
|
165
|
|
78
|
|
33
|
|
174
|
|
921
|
|
When all categories of academic positions (tenure-track, teaching
faculty, research faculty, and postdoc) are considered collectively in
Table F3, the fraction of female hires was similar to last year at 28.5%
(last year was 28.2% and 28.0% in 2022). For tenure-track positions, the
percentage of female hires bounced back to 2022 rates at 28.1%, from
25.9% last year. The tenure-track percentage is 3.7 percentage points
higher than the percentage of females among new PhDs produced during the
last year (24.4%). This year, there was a decline in the number of women
hired as teaching professors (down 4%) and as other instructors (down
1%).
Table F4: Ethnicity of newly hired faculty
|
|
Tenure-Track
|
Teaching Professors
|
Other Instructors
|
Researchers
|
Postdoctorates
|
Total
|
|
Residency and Race/Ethnicity
|
TT
|
TT %
|
TP
|
TP %
|
OI
|
OI %
|
R
|
R %
|
PD
|
PD %
|
Total
|
Total %
|
|
Nonresident Alien
|
83
|
22.9%
|
23
|
16.9%
|
11
|
19.3%
|
5
|
20.8%
|
34
|
27.6%
|
156
|
22.2%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
|
Resident, Asian
|
151
|
41.6%
|
56
|
41.2%
|
12
|
21.1%
|
9
|
37.5%
|
46
|
37.4%
|
274
|
39%
|
|
Resident, Black or African-American, not Hispanic
|
4
|
1.1%
|
6
|
4.4%
|
5
|
8.8%
|
0
|
0%
|
2
|
1.6%
|
17
|
2.4%
|
|
Resident, Native Hawaiian or other Pacific Islander, not Hispanic
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
|
Resident, White, not Hispanic
|
115
|
31.7%
|
43
|
31.6%
|
27
|
47.4%
|
10
|
41.7%
|
40
|
32.5%
|
235
|
33.4%
|
|
Resident, More than One Race, not Hispanic
|
1
|
0.3%
|
2
|
1.5%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
3
|
0.4%
|
|
Resident, Hispanic or Latino, any race
|
9
|
2.5%
|
6
|
4.4%
|
2
|
3.5%
|
0
|
0%
|
1
|
0.8%
|
18
|
2.6%
|
|
Total Residency & Ethnicity Known
|
363
|
|
136
|
|
57
|
|
24
|
|
123
|
|
703
|
|
|
Residency and/or Race/Ethnicity Unknown
|
75
|
|
15
|
|
13
|
|
9
|
|
51
|
|
163
|
|
|
Total
|
438
|
|
151
|
|
70
|
|
33
|
|
174
|
|
866
|
|
White, Non-resident Alien and Asian hires collectively comprise 94.6%
of those new tenure-track faculty whose residency is known. Since 2019’s
percentage of 94.1, the percentage of White, Nonresident Alien, and
Asian hires has fluctuated between 85 and 89%. Indigenous/Alaskan
Native, Black/African-American, Hispanic, Native Hawaiian/Pacific
Islander, and More than One Race collectively fell two percentage points
from 7.1% last year to 5% this year. Tenure track faculty has the most
noticeable increases with an 86.18% increase in hiring Nonresident
Aliens (12.3% last year and 22.9% this year) and 15.27% increase in
hiring Resident, White, not Hispanic (27.5% last year and 31.70% this
year).
Table F5: Faculty losses
|
Reasons
|
Number of Faculty
|
# Depts
|
|
Died
|
9
|
37
|
|
Retired
|
93
|
81
|
|
Took Academic Position Elsewhere
|
99
|
72
|
|
Took Non-Academic Position
|
34
|
42
|
|
Switched to Part Time
|
13
|
31
|
|
Other
|
25
|
42
|
|
Unknown
|
5
|
28
|
|
Total
|
278
|
115
|
Faculty attrition decreased by approximately 20.34% compared to last
year, representing 71 fewer faculty departures as shown in Table F5.
Although the top two reasons for a loss were leaving for another
academic position (99 losses) and retiring (93 losses), with the
exception of death, all other reasons declined from last year’s numbers.
Less losses were reported in the “other” category than last year.
Table F6: Gender of current faculty
|
|
Full
|
Associate
|
Assistant
|
Teaching Professors
|
Other Instructors
|
Researchers
|
Postdoctorates
|
Total
|
|
Gender
|
Full Prof.
|
FP %
|
Asso. Prof.
|
ASOP %
|
Asst. Prof.
|
ASTP %
|
TP
|
TP %
|
OI
|
OI %
|
R
|
R %
|
PD
|
PD %
|
Total
|
Total %
|
|
Male
|
1,892
|
81%
|
1,104
|
76.8%
|
1,260
|
70.6%
|
961
|
68.4%
|
628
|
72.1%
|
223
|
72.9%
|
410
|
71.3%
|
6,478
|
74.3%
|
|
Female
|
443
|
19%
|
333
|
23.2%
|
520
|
29.1%
|
440
|
31.3%
|
242
|
27.8%
|
83
|
27.1%
|
164
|
28.5%
|
2,225
|
25.5%
|
|
Nonbinary/Other
|
0
|
0%
|
1
|
0.1%
|
4
|
0.2%
|
4
|
0.3%
|
1
|
0.1%
|
0
|
0%
|
1
|
0.2%
|
11
|
0.1%
|
|
Total Known Gender
|
2,335
|
|
1,438
|
|
1,784
|
|
1,405
|
|
871
|
|
306
|
|
575
|
|
8,714
|
|
|
Gender Unknown
|
71
|
|
25
|
|
42
|
|
25
|
|
54
|
|
7
|
|
78
|
|
302
|
|
|
Total
|
2,406
|
|
1,463
|
|
1,826
|
|
1,430
|
|
925
|
|
313
|
|
653
|
|
9,016
|
|
Table F6 disaggregates current faculty by gender for the various
faculty types. Table F7 does likewise with respect to race/ethnicity. In
aggregate across all faculty types, the proportion of current faculty
who are female increased to 25.5%–up 5%, whereas males decreased 2%.
Female faculty increased in percentage across all ranks with
non-tenure-track researchers leading the way with a 22% increase
followed by full and associate professors who increased by 5%.
Meanwhile, with the exception of other instructors, male faculty
slightly decreased across ranks (between 1-2%, except non-tenure-track
researchers that decreased 6%). Nonbinary faculty decreased this year
from 18 to 11 faculty members. The proportion of current faculty who are
Indigenous/Alaskan Native, Black/African-American, Native
Hawaiian/Pacific Islander, More than One Race, or Hispanic is 6.6% this
year versus 6.8% last year. Similar to last year, the category of other
instructors had the highest percentage at 9.7% (9.3% last year), while
similar to last year postdocs had the lowest at 3.7% (3.6% last year).
Asian faculty had the highest representation at the assistant professor
rank at 43.5%. Nonresident Alien faculty had the highest representation
as postdoctoral researchers at 30.1%. White and Black/African-American
faculty had the highest representation as other instructors at 66.3% and
4.9%. Hispanic faculty had the highest representation as teaching
professors.
Table F7: Ethnicity of current faculty
|
|
Full
|
Associate
|
Assistant
|
Teaching Professors
|
Other Instructors
|
Researchers
|
Postdoctorates
|
Total
|
|
Residency and Race/Ethnicity
|
Full Prof.
|
FP %
|
Asso. Prof.
|
ASOP %
|
Asst. Prof.
|
ASTP %
|
TP
|
TP %
|
OI
|
OI %
|
R
|
R %
|
PD
|
PD %
|
Total
|
Total %
|
|
Nonresident Alien
|
27
|
1.3%
|
33
|
2.7%
|
254
|
17.1%
|
110
|
9.5%
|
45
|
6.1%
|
33
|
12.4%
|
132
|
30.1%
|
634
|
8.7%
|
|
Resident, Indigenous or Alaskan Native
|
1
|
0%
|
0
|
0%
|
4
|
0.3%
|
1
|
0.1%
|
2
|
0.3%
|
1
|
0.4%
|
1
|
0.2%
|
10
|
0.1%
|
|
Resident, Asian
|
660
|
33%
|
465
|
38.3%
|
647
|
43.5%
|
213
|
18.3%
|
131
|
17.9%
|
59
|
22.2%
|
156
|
35.6%
|
2,331
|
31.9%
|
|
Resident, Black or African-American, not Hispanic
|
27
|
1.3%
|
33
|
2.7%
|
30
|
2%
|
35
|
3%
|
36
|
4.9%
|
5
|
1.9%
|
6
|
1.4%
|
172
|
2.4%
|
|
Resident, Native Hawaiian or other Pacific Islander, not Hispanic
|
0
|
0%
|
13
|
1.1%
|
3
|
0.2%
|
2
|
0.2%
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
18
|
0.2%
|
|
Resident, White, not Hispanic
|
1,227
|
61.3%
|
624
|
51.4%
|
486
|
32.6%
|
737
|
63.4%
|
485
|
66.3%
|
162
|
60.9%
|
134
|
30.6%
|
3,855
|
52.8%
|
|
Resident, More than One Race, not Hispanic
|
18
|
0.9%
|
17
|
1.4%
|
17
|
1.1%
|
11
|
0.9%
|
3
|
0.4%
|
1
|
0.4%
|
0
|
0%
|
67
|
0.9%
|
|
Resident, Hispanic or Latino, any race
|
41
|
2%
|
29
|
2.4%
|
48
|
3.2%
|
54
|
4.6%
|
30
|
4.1%
|
5
|
1.9%
|
9
|
2.1%
|
216
|
3%
|
|
Total Residency & Ethnicity Known
|
2,001
|
|
1,214
|
|
1,489
|
|
1,163
|
|
732
|
|
266
|
|
438
|
|
7,303
|
|
|
Residency and/or Race/Ethnicity Unknown
|
405
|
|
249
|
|
337
|
|
267
|
|
193
|
|
47
|
|
215
|
|
1,713
|
|
|
Total
|
2,406
|
|
1,463
|
|
1,826
|
|
1,430
|
|
925
|
|
313
|
|
653
|
|
9,016
|
|
Tables F8 and F9 provide gender x race/ethnicity crosstab data for
current faculty. Table F8 shows, for each race/ethnicity category at
each tenure-track faculty rank, the percentage of total male faculty at
that rank represented by that race/ethnicity category, and the
percentage of total female faculty at that rank represented by that
category. Tables F9 respectively does likewise for teaching faculty,
research faculty, and postdocs.
We continue to see at the full professor rank where the gender and
ethnicity proportions are similar. Similar to last year, among
tenure-track faculty, Asian faculty comprise a greater fraction of male
assistant professors than female assistant professors, while White
faculty comprise a greater percentage of female assistant professors
than male assistant professors. With the exception of White and Hispanic
teaching professors, men comprise a greater fraction of male teaching
professors across all race and ethnicities.
Table F8: Current tenured and tenure-track faculty by
gender and ethnicity
Full Professors
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
20
|
1.2%
|
7
|
1.9%
|
0
|
NaN%
|
0
|
27
|
1.3%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
1
|
0.3%
|
0
|
NaN%
|
0
|
1
|
0%
|
|
Resident, Asian
|
537
|
33.1%
|
122
|
33.3%
|
0
|
NaN%
|
1
|
660
|
33%
|
|
Resident, Black or African American
|
22
|
1.4%
|
5
|
1.4%
|
0
|
NaN%
|
0
|
27
|
1.3%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, White
|
994
|
61.2%
|
222
|
60.7%
|
0
|
NaN%
|
11
|
1,227
|
61.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
17
|
1%
|
1
|
0.3%
|
0
|
NaN%
|
0
|
18
|
0.9%
|
|
Resident, Hispanic, any race
|
33
|
2%
|
8
|
2.2%
|
0
|
NaN%
|
0
|
41
|
2%
|
|
Total Residency & Ethnicity Known
|
1,623
|
|
366
|
|
0
|
|
12
|
2,001
|
|
|
Residency and/or Race/Ethnicity Unknown
|
269
|
|
77
|
|
0
|
|
59
|
405
|
|
|
Total
|
1,892
|
|
443
|
|
0
|
|
71
|
2,406
|
|
Associate Professors
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
27
|
2.9%
|
6
|
2.1%
|
0
|
NaN%
|
0
|
33
|
2.7%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, Asian
|
356
|
38.4%
|
109
|
38.2%
|
0
|
NaN%
|
0
|
465
|
38.3%
|
|
Resident, Black or African American
|
17
|
1.8%
|
14
|
4.9%
|
0
|
NaN%
|
2
|
33
|
2.7%
|
|
Resident, Native Hawaiian or Pacific Islander
|
9
|
1%
|
4
|
1.4%
|
0
|
NaN%
|
0
|
13
|
1.1%
|
|
Resident, White
|
484
|
52.2%
|
140
|
49.1%
|
0
|
NaN%
|
0
|
624
|
51.4%
|
|
Resident, More than one Race Specified, non-Hispanic
|
11
|
1.2%
|
6
|
2.1%
|
0
|
NaN%
|
0
|
17
|
1.4%
|
|
Resident, Hispanic, any race
|
23
|
2.5%
|
6
|
2.1%
|
0
|
NaN%
|
0
|
29
|
2.4%
|
|
Total Residency & Ethnicity Known
|
927
|
|
285
|
|
0
|
|
2
|
1,214
|
|
|
Residency and/or Race/Ethnicity Unknown
|
177
|
|
48
|
|
1
|
|
23
|
249
|
|
|
Total
|
1,104
|
|
333
|
|
1
|
|
25
|
1,463
|
|
Assistant Professors
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
187
|
17.7%
|
67
|
15.5%
|
0
|
0%
|
0
|
254
|
17.1%
|
|
Resident, Indigenous or Alaskan Native
|
3
|
0.3%
|
1
|
0.2%
|
0
|
0%
|
0
|
4
|
0.3%
|
|
Resident, Asian
|
481
|
45.6%
|
166
|
38.4%
|
0
|
0%
|
0
|
647
|
43.5%
|
|
Resident, Black or African American
|
14
|
1.3%
|
16
|
3.7%
|
0
|
0%
|
0
|
30
|
2%
|
|
Resident, Native Hawaiian or Pacific Islander
|
2
|
0.2%
|
1
|
0.2%
|
0
|
0%
|
0
|
3
|
0.2%
|
|
Resident, White
|
316
|
30%
|
167
|
38.7%
|
2
|
100%
|
1
|
486
|
32.6%
|
|
Resident, More than one Race Specified, non-Hispanic
|
12
|
1.1%
|
5
|
1.2%
|
0
|
0%
|
0
|
17
|
1.1%
|
|
Resident, Hispanic, any race
|
39
|
3.7%
|
9
|
2.1%
|
0
|
0%
|
0
|
48
|
3.2%
|
|
Total Residency & Ethnicity Known
|
1,054
|
|
432
|
|
2
|
|
1
|
1,489
|
|
|
Residency and/or Race/Ethnicity Unknown
|
206
|
|
88
|
|
2
|
|
41
|
337
|
|
|
Total
|
1,260
|
|
520
|
|
4
|
|
42
|
1,826
|
|
Table F9: Current non-tenure-track faculty by gender
and ethnicity
Teaching Professors
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
63
|
7.9%
|
27
|
8%
|
0
|
0%
|
20
|
110
|
9.5%
|
|
Resident, Indigenous or Alaskan Native
|
1
|
0.1%
|
0
|
0%
|
0
|
0%
|
0
|
1
|
0.1%
|
|
Resident, Asian
|
122
|
15.2%
|
90
|
26.8%
|
1
|
100%
|
0
|
213
|
18.4%
|
|
Resident, Black or African American
|
21
|
2.6%
|
14
|
4.2%
|
0
|
0%
|
0
|
35
|
3%
|
|
Resident, Native Hawaiian or Pacific Islander
|
2
|
0.2%
|
0
|
0%
|
0
|
0%
|
0
|
2
|
0.2%
|
|
Resident, White
|
545
|
68%
|
188
|
56%
|
0
|
0%
|
1
|
734
|
63.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
6
|
0.7%
|
5
|
1.5%
|
0
|
0%
|
0
|
11
|
0.9%
|
|
Resident, Hispanic, any race
|
42
|
5.2%
|
12
|
3.6%
|
0
|
0%
|
0
|
54
|
4.7%
|
|
Total Residency & Ethnicity Known
|
802
|
|
336
|
|
1
|
|
21
|
1,160
|
|
|
Residency and/or Race/Ethnicity Unknown
|
159
|
|
104
|
|
0
|
|
4
|
267
|
|
|
Total
|
961
|
|
440
|
|
1
|
|
25
|
1,427
|
|
Other Instructors
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
34
|
6.5%
|
11
|
5.4%
|
0
|
0%
|
0
|
45
|
6.1%
|
|
Resident, Indigenous or Alaskan Native
|
2
|
0.4%
|
0
|
0%
|
0
|
0%
|
0
|
2
|
0.3%
|
|
Resident, Asian
|
85
|
16.1%
|
46
|
22.7%
|
0
|
0%
|
0
|
131
|
17.9%
|
|
Resident, Black or African American
|
21
|
4%
|
15
|
7.4%
|
0
|
0%
|
0
|
36
|
4.9%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
0%
|
0
|
0
|
0%
|
|
Resident, White
|
360
|
68.3%
|
123
|
60.6%
|
1
|
100%
|
1
|
485
|
66.3%
|
|
Resident, More than one Race Specified, non-Hispanic
|
3
|
0.6%
|
0
|
0%
|
0
|
0%
|
0
|
3
|
0.4%
|
|
Resident, Hispanic, any race
|
22
|
4.2%
|
8
|
3.9%
|
0
|
0%
|
0
|
30
|
4.1%
|
|
Total Residency & Ethnicity Known
|
527
|
|
203
|
|
1
|
|
1
|
732
|
|
|
Residency and/or Race/Ethnicity Unknown
|
101
|
|
39
|
|
0
|
|
53
|
193
|
|
|
Total
|
628
|
|
242
|
|
1
|
|
54
|
925
|
|
Researchers
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
22
|
11.6%
|
11
|
14.5%
|
0
|
NaN%
|
0
|
33
|
12.4%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
1
|
1.3%
|
0
|
NaN%
|
0
|
1
|
0.4%
|
|
Resident, Asian
|
41
|
21.6%
|
18
|
23.7%
|
0
|
NaN%
|
0
|
59
|
22.2%
|
|
Resident, Black or African American
|
4
|
2.1%
|
1
|
1.3%
|
0
|
NaN%
|
0
|
5
|
1.9%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, White
|
117
|
61.6%
|
45
|
59.2%
|
0
|
NaN%
|
0
|
162
|
60.9%
|
|
Resident, More than one Race Specified, non-Hispanic
|
1
|
0.5%
|
0
|
0%
|
0
|
NaN%
|
0
|
1
|
0.4%
|
|
Resident, Hispanic, any race
|
5
|
2.6%
|
0
|
0%
|
0
|
NaN%
|
0
|
5
|
1.9%
|
|
Total Residency & Ethnicity Known
|
190
|
|
76
|
|
0
|
|
0
|
266
|
|
|
Residency and/or Race/Ethnicity Unknown
|
33
|
|
7
|
|
0
|
|
7
|
47
|
|
|
Total
|
223
|
|
83
|
|
0
|
|
7
|
313
|
|
Postdoctorates
|
Residency and Race/Ethnicity
|
Male
|
% of M
|
Female
|
% of F
|
NB/Other
|
% of NBO
|
N/R
|
Total
|
Total %
|
|
Nonresident Alien
|
98
|
31.8%
|
30
|
25.6%
|
0
|
NaN%
|
4
|
132
|
30.1%
|
|
Resident, Indigenous or Alaskan Native
|
0
|
0%
|
1
|
0.9%
|
0
|
NaN%
|
0
|
1
|
0.2%
|
|
Resident, Asian
|
108
|
35.1%
|
41
|
35%
|
0
|
NaN%
|
7
|
156
|
35.6%
|
|
Resident, Black or African American
|
4
|
1.3%
|
2
|
1.7%
|
0
|
NaN%
|
0
|
6
|
1.4%
|
|
Resident, Native Hawaiian or Pacific Islander
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, White
|
92
|
29.9%
|
40
|
34.2%
|
0
|
NaN%
|
2
|
134
|
30.6%
|
|
Resident, More than one Race Specified, non-Hispanic
|
0
|
0%
|
0
|
0%
|
0
|
NaN%
|
0
|
0
|
0%
|
|
Resident, Hispanic, any race
|
6
|
1.9%
|
3
|
2.6%
|
0
|
NaN%
|
0
|
9
|
2.1%
|
|
Total Residency & Ethnicity Known
|
308
|
|
117
|
|
0
|
|
13
|
438
|
|
|
Residency and/or Race/Ethnicity Unknown
|
102
|
|
47
|
|
1
|
|
65
|
215
|
|
|
Total
|
410
|
|
164
|
|
1
|
|
78
|
653
|
|
Table F10: Source of new faculty
Please note that sources may not be mutually exclusive.
|
Source
|
Full Prof.
|
Asso. Prof.
|
Asst. Prof.
|
Teaching Prof.
|
Other Instructor
|
Researchers
|
Postdocs
|
Total
|
% Total from Source
|
|
New PhD
|
2
|
1
|
81
|
25
|
14
|
8
|
61
|
192
|
33.6%
|
|
Recent Postdoc
|
1
|
1
|
90
|
13
|
1
|
3
|
8
|
117
|
20.5%
|
|
Came from Another School
|
27
|
32
|
78
|
40
|
17
|
6
|
7
|
207
|
36.2%
|
|
Came from Industry
|
2
|
1
|
23
|
14
|
10
|
3
|
3
|
56
|
9.8%
|
|
Total
|
32
|
35
|
272
|
92
|
42
|
20
|
79
|
572
|
|
|
Hired without PhD
|
1
|
0
|
3
|
17
|
8
|
5
|
0
|
34
|
|
|
% Hired without PhD
|
3
|
0
|
1
|
18
|
19
|
25
|
0
|
6
|
|
Table F10 shows the sources of new faculty of each type. The fraction
of newly hired assistant professors who had been postdocs in the
previous year was 33%. Since we began collecting such information in
2015, this percentage has ranged from 21 to 31% so this year’s data is a
record high. Similar to last year, just over 29% of new assistant
professors were new PhDs and 28.68% of new assistant professors were in
other academic positions the previous year, whereas only 8.46% of new
assistant professors were from industry (down from 10.98 % last year).
We do not know the previous academic rank of the new assistant
professors who came from other academic positions; they might have been
teaching faculty or research faculty as a transitional position, or they
might have come from other tenure-track positions.
This year, we have data about the previous position of 67 newly hired
senior faculty, a similar number from last year of 61 new senior hires.
Similar to last year–88.06% of this year’s new senior hires came from
other academic institutions. Among newly hired teaching professors, 18%
were hired without a PhD–the same as last year. This year, only 19% of
other instructors were hired without a PhD–a decrease from 56% last year
and 100% the year before. A quarter of new research faculty did not have
a PhD–decreasing from 36 percent last year.
Graduate Student Support
Table G1: Doctoral students supported as full-time students by
department type
|
|
On Institutional Funds
|
On External Funds*
|
Total
|
|
Dept. Type
|
# Dept
|
Teaching Assistants
|
Research Assistants
|
Full-Support Fellows
|
Computer Systems
|
Other
|
Teaching Assistants*
|
Research Assistants*
|
Full-Support Fellows*
|
Computer Systems*
|
Other*
|
Total
|
|
US CS Public
|
82
|
4,421.1
|
1,517.4
|
364
|
4
|
33
|
126
|
4,145.5
|
253
|
23
|
1
|
10,888
|
|
US CS Private
|
29
|
688
|
1,004.9
|
457.4
|
0
|
143
|
34
|
1,429.4
|
219
|
0
|
137
|
4,112.6
|
|
US CS Total
|
111
|
5,109.1
|
2,522.2
|
821.4
|
4
|
176
|
160
|
5,574.8
|
472
|
23
|
138
|
15,000.6
|
|
US CE
|
2
|
82
|
3
|
75
|
0
|
0
|
0
|
395
|
10
|
0
|
3
|
568
|
|
US Info
|
13
|
338.8
|
201.3
|
54
|
0
|
13
|
0.2
|
218.2
|
17
|
0
|
3
|
845.6
|
|
Canada
|
7
|
273.1
|
257
|
4
|
0
|
0
|
0
|
225.7
|
7
|
0
|
0
|
766.8
|
|
Total
|
133
|
5,803
|
2,983.6
|
954.4
|
4
|
189
|
160.2
|
6,413.8
|
506
|
23
|
144
|
17,181
|
Table G1 shows the number of doctoral students supported as full-time
students as of fall 2024, further categorized as teaching assistants
(TAs), research assistants (RAs), and full-support fellows. The table
also shows the split between those on institutional vs. external funds.
Table G1a shows similar data for supported master’s students.
The average number of TAs on institutional funds among doctoral
students in U.S. CS departments increased 3.64% this year, from 44.4 to
46.03. Similar to last year, the increase was due to departments in
public institutions because average number of TAs on institutional funds
among doctoral students per department at US CS Public TAs increased
7.44% (from 50.2 to 53.9), whereas US CS Private institutions decreased
4.28% from 24.8 to 23.7 (last year, private institutions’ change was
flat). U.S. I departments reported a 8.12% decrease from last year’s
large 27.7% increase. No comparisons are made for CE and Canadian
departments due to the small number reporting.
Among externally funded RAs, the average number of doctoral students
per U.S. CS department decreased for the second year in a row–this year,
the decrease compared to last year was 6.44% from 53.7 to 50.2
externally funded RAs per department (last year, it decreased 3.1%). In
US CS public institutions, the average decrease was 2.64% from 51.9 to
50.5 externally funded RAs per department, whereas in US CS private, the
decrease was 17.37% from 59.6 to 49.3 externally funded RAs per
department. This decrease in externally funded RAs is interesting when
we triangulate the data with research expenditures (see R1), where
private institutions have more total research expenditures. We
acknowledge that the research expenditures and graduate student costs
vary per institution and impact these numbers. We saw a 33.27% decrease
in I external RAs (16.78 down from 25.2) from last year. For internal
RAs, we see decreases in US CS (1.96% decrease in public–18.5 from 18.9;
17.62% decrease in private, 34.65 from 42.1), but an increase in I
(11.34%–15.48 from 13.9).
For the fourth year in a row, the average number of US CS
full-support fellows on internal and external funds increased compared
with last year at a 4.72% increase. In US I departments, there was a
26.61% decrease in the average number of full-support fellows on
internal and external funds–the largest hit coming from external
fellowships with a 57.5% decrease (internal also decreased, but at
4.85%).
Aggregated across all department types independent of funding origin,
54.7% of funding goes to research assistants, 34.71% is allocated to
teaching assistants, and 8.5% to fellows. Teaching assistantships
increased by 5%–from 33.00% to 34.71%. Research assistantships decreased
by 6%– from 58.48% to 54.70%. Fellowships remained flat at 8.5%.
Although among US CS departments, private institutions still have a
greater fraction of their students supported by RAs and full-support
fellows (75.64% compared with 57.68%), this fraction is down 8% from
last year. US CS public departments continue to fund more doctoral
students at the teaching assistant level–41.76% compared with 38.81%. As
we typically see for TAs, RAs, and full-support fellows, U.S. CS
departments at private institutions and larger departments have higher
median stipends than smaller departments. Similar to last year, in US CS
public institutions, TA and RA stipends are higher in larger
departments, however we see more variability in full support
fellowships.
Table G1a: Master’s students supported as full-time students by
department type
|
|
On Institutional Funds
|
On External Funds*
|
Total
|
|
Dept. Type
|
# Dept
|
Teaching Assistants
|
Research Assistants
|
Full-Support Fellows
|
Computer Systems
|
Other
|
Teaching Assistants*
|
Research Assistants*
|
Full-Support Fellows*
|
Computer Systems*
|
Other*
|
Total
|
|
US CS Public
|
67
|
1,630.7
|
159.8
|
13.5
|
63
|
274
|
2
|
442.3
|
6.5
|
5
|
0
|
2,596.7
|
|
US CS Private
|
19
|
603.5
|
19
|
10
|
25
|
8
|
5
|
74.7
|
13
|
0
|
0
|
758.2
|
|
US CS Total
|
86
|
2,234.2
|
178.8
|
23.5
|
88
|
282
|
7
|
516.9
|
19.5
|
5
|
0
|
3,354.9
|
|
US CE
|
2
|
32
|
0
|
0
|
0
|
0
|
0
|
10
|
0
|
0
|
0
|
42
|
|
US Info
|
12
|
276.2
|
10
|
2
|
9.8
|
20
|
0
|
70
|
0
|
0
|
2.5
|
390.4
|
|
Canada
|
7
|
308.1
|
205
|
0
|
0
|
0
|
0
|
178.6
|
0
|
0
|
0
|
691.7
|
|
Total
|
107
|
2,850.4
|
393.8
|
25.5
|
97.8
|
302
|
7
|
775.5
|
19.5
|
5
|
2.5
|
4,479
|
Among all supported master’s students aggregated across all
department types, 63.80% are TAs–a 10% change compared with last year
when 71% of master’s students were TAs. The percentage of RAs declined
by 5% from 27.41% to 26.11%. Similar to last year, at US CS departments,
TA support comprises a higher percentage than the aggregate, however
this is mostly from US CS private institutions at 80.26% TA funding (but
noticeably 7% down from last year). Canadian institutions have a higher
percentage of master’s students funded as research assistants at 55.46%.
All institution types, with the exception of CE although the total
institutions reporting is too small for analysis, decreased the
percentage of TA funded master’s students this year compared to last (3
to 13% decreases), whereas only US CS Public decreased RA funding of
master’s students compared to last year (15% decrease).
Table G2: 2023-2024 Academic-Year Graduate Stipends
by Department Type and Support Type
Teaching Assistantships
This data represents reported doctoral student stipends.
|
Dept. Type
|
# Depts
|
10%
|
25%
|
50%
|
75%
|
90%
|
|
US CS Public
|
93
|
16,327.6
|
20,043
|
23,993
|
28,300
|
31,690.8
|
|
US CS Private
|
30
|
21,900
|
27,575
|
35,254
|
40,249.75
|
44,361
|
|
US CS Total
|
123
|
16,663.2
|
21,045.5
|
25,042
|
31,182.5
|
38,920
|
|
US CE
|
4
|
|
|
14,079
|
|
|
|
US Info
|
15
|
19,040
|
23,275
|
27,539
|
30,554.5
|
34,636.4
|
|
Canada
|
8
|
|
7,038.25
|
7,595
|
14,692.5
|
|
|
Total
|
150
|
13,675
|
20,148.75
|
25,000
|
30,954.25
|
38,640
|
Table G2 shows the distribution of stipends for TAs, RAs, and full
support fellows. U.S. CS data is further broken down in this table by
public and private institutions. Figures G1-G3 further break down the
U.S. CS data by size of department and by geographic location of the
university. Although median TA salaries at all US CS and I departments
increased this year, we see smaller increases–4.32% in US CS public,
5.81% in US CS private, and 6% in US I. Similar to last year, US CS
private institutions pay their TAs 46.93% more than public institutions.
When comparing median TA salaries, US I school make almost 10% more than
US CS total TA support, however with all salary data, US I is not
normalized based on location which can impact salary comparisons.
Canadian TA salaries saw a 5.18% decrease in median TA salaries.
Research Assistantships
This data represents reported doctoral student stipends.
|
Dept. Type
|
# Depts
|
10%
|
25%
|
50%
|
75%
|
90%
|
|
US CS Public
|
92
|
18,000
|
21,661.5
|
24,638
|
28,115.5
|
31,087.8
|
|
US CS Private
|
34
|
26,620
|
29,525.25
|
38,315.5
|
40,892.25
|
44,137
|
|
US CS Total
|
126
|
19,350
|
22,985
|
26,535
|
32,229
|
40,166.5
|
|
US CE
|
4
|
|
|
14,079
|
|
|
|
US Info
|
15
|
19,040
|
23,275
|
27,539
|
30,554.5
|
34,636.4
|
|
Canada
|
8
|
|
13,180.25
|
16,067
|
18,461.25
|
|
|
Total
|
153
|
16,290.8
|
22,000
|
26,087
|
31,626
|
39,932
|
For RAs, median salaries at US CS institutions rose 3.78% at public
institutions and 6.01% at private institutions–increasing, but a lower
increase than last year (6.0 and 7.6 respectively). Similar to last
year, median RA salaries at private institutions are 55.5% higher than
at public departments. When comparing median salaries, RAs make more
than TAs in US CS and Canadian with US CS Private leading at almost 8%
more. US I make the same amount independent of assistantship type.
Full Support Fellows
This data represents reported doctoral student stipends.
|
Dept. Type
|
# Depts
|
10%
|
25%
|
50%
|
75%
|
90%
|
|
US CS Public
|
52
|
18,400
|
24,697.25
|
30,000
|
34,000
|
35,094.5
|
|
US CS Private
|
29
|
28,856.6
|
33,300
|
38,131
|
40,800
|
45,000
|
|
US CS Total
|
81
|
23,382
|
28,124
|
32,850
|
37,000
|
41,308
|
|
US CE
|
2
|
|
|
|
|
|
|
US Info
|
11
|
24,300
|
27,769.5
|
30,000
|
34,197
|
37,000
|
|
Canada
|
6
|
|
|
19,808
|
|
|
|
Total
|
100
|
17,711.6
|
26,834.25
|
32,000
|
36,818.5
|
41,314.5
|
For full-support fellows, median salaries stayed flat at $30,000 for
US CS public and increased by 3.15% for US CS private. US CS private
institution full fellowships are 27.1% more than US CS public–increasing
by 7 points from last year. Median US I full support fellowships
increased 4.72% this year in comparison with last year, thus making them
the same as US CS public. Canadian full fellowships had a 31% increase
this year from $15,116 to $19,808).
Graduate Assistants for Computer Systems Support
This data represents reported doctoral student stipends.
|
Dept. Type
|
# Depts
|
10%
|
25%
|
50%
|
75%
|
90%
|
|
US CS Public
|
35
|
0
|
4,612
|
17,235
|
23,701
|
27,147.2
|
|
US CS Private
|
10
|
0
|
5,726.75
|
17,340
|
32,037.5
|
38,221.6
|
|
US CS Total
|
45
|
0
|
4,500
|
17,280
|
24,500
|
29,320
|
|
US CE
|
1
|
|
|
|
|
|
|
US Info
|
7
|
|
0
|
12,150
|
22,043.5
|
|
|
Canada
|
1
|
|
|
|
|
|
|
Total
|
54
|
0
|
806
|
17,257.5
|
24,875
|
31,138.2
|
Disability and Socioeconomic Data
Table 2a: Students with disability accommodations
|
Degree Level
|
# Depts Reporting Accommodations with Enrollment Data
|
Total Enrollment
|
Total Students with Accommodations
|
% of Enrollment with Accommodations
|
% of Depts Reporting Zero Accommodations
|
Max Dept % of Accommodations
|
Average Number of Students with Accommodations per Dept
|
|
PhD
|
70
|
10,832
|
197
|
1.8
|
64.3
|
30.6
|
2.8
|
|
Masters
|
58
|
28,579
|
424
|
1.5
|
60.3
|
11.7
|
7.3
|
|
Bachelors
|
54
|
99,541
|
4,558
|
4.6
|
27.8
|
11.5
|
84.4
|
Since 2021, we collected the number of students at each degree level
who received accommodations for disabilities during the past academic
year, the number of undergraduate students who were first-generation
college students, and the number who were recipients of Pell grants as
shown in Table 2. This year, we had less departments report this data
for all education levels– 10 percent less for doctoral, 25.86 percent
less for master’s, and 11.11 percent less for bachelor’s. A few more
departments reported on first-generation status and Pell grants this
year.
For the third year in a row, Table 2a indicates that roughly 3/5 of
the reporting departments showed no graduate students receiving
disability accommodations, and that the average reporting department has
between 1 and 2 percent of its graduate students receiving
accommodations at both the master’s and doctoral levels. The doctoral
and masters percentages are higher than last year– between 25-38 percent
change, but still under 2 percent. We see a similar increase in the
percent of enrollment with accommodations up 4.6 percent from 3.4
percent last year– a 35.29 percent change.
In those departments reporting information about Pell grants, for the
second year in a row, the number of Pell recipients has increased from
23.4 percent to 25.2 percent– a 7.69 increase. Whereas for first
generation college students, the opposite is true - for the second year
in a row, enrollment percentages as first generation college students
has decreased from 21.0 percent to 20.2 percent– a 3.81 percent
decrease.
For the 69 departments reporting Pell grant information, the table
disaggregates them into departments at public and private institutions.
Since we started collecting data in 2021, we continue to see the trend
that public institutions report a somewhat higher percentage of Pell
grant students than do departments at private institutions and the
percentages are higher than years past. This data will become more
important in the future as we see potential budget impacts.
Table 2b: Undergraduate majors with Pell Grants and First Generation
status
*Source: U.S. Department of Education, National Center for Education
Statistics, Integrated Postsecondary Education Data System (IPEDS),
Student Financial Aid component, provisional data (2022-23). Based on
5,423 institutions.
|
Status
|
# Depts Reporting Enrollment with Status Data
|
Total Enrollment
|
Total Students with Status
|
% of Enrollment with Status
|
Overall NCES Pell Percent*
|
|
Pell Grant
|
69
|
109,290
|
27,591
|
25.2
|
31.6
|
|
First Generation
|
84
|
143,637
|
29,081
|
20.2
|
|
Table 2c: Undergraduate majors with Pell Grants based on Institution
Type
*Source: Federal Pell Grant Program of the Higher Education Act: Primer,
Congressional Research Service, AY 2019-2020. Updated Nov. 6, 2024.
Using private not-for-profit numbers for comparison.
|
Status
|
# Depts Reporting Enrollment with Status Data
|
Total Enrollment
|
Total Students with Status
|
% of Enrollment with Status
|
% Pell NCES, Dependent Student*
|
% Pell NCES, Independent Student*
|
|
Pell Grant, US Public
|
54
|
95,004
|
24,245
|
25.5
|
44.2
|
27.8
|
|
Pell Grant, US Private
|
15
|
14,286
|
3,346
|
23.4
|
16.5
|
10.7
|
Conclusion
Academic units in computing fields are experiencing significant
shifts in faculty demographics and student enrollment. Faculty
sizes continue to increase across all categories especially in
the teaching ranks where Teaching Professors and Other Instructors
representation increased more than tenure track faculty and researcher
ranks (Non-Tenure-Track Researchers and Postdocs) accounts for
approximately 17% of department faculty (up from 9% last year). However,
a critical trend is the widening gap between tenure-track
faculty growth and burgeoning undergraduate enrollment, with
tenure-track faculty increasing at about one-tenth the rate of
enrollment growth, and teaching faculty at just over half. The overall
tenure-track hiring success rate decreased this
year.
While new bachelor’s majors increased for the fourth
consecutive year (9.9% across all departments and 12.6% at U.S.
CS departments). We see an increase in Pell grant recipients,
particularly at public institutions, while first-generation college
student enrollment percentages decreased. Overall bachelor’s and
master’s degree production experienced decreases this year
(5.5% and 17.6% respectively). Despite these drops, production remains
above pre-pandemic levels for bachelor’s degrees and represents the
second-highest in history for master’s degrees. Total reported
enrollment in the CS major also continued to grow by 7.5%.
The landscape of doctoral programs reveals progress. Doctoral
degree production reached an all-time high of 2,352 PhDs
awarded, an 8.2% increase from the previous year. New PhD recipients are
increasingly taking academic jobs in North America (38.7%, up from
30.6%). Industry continues to be a strong draw for new PhD recipients,
however slightly less new PhDs started jobs in industry this year
(54.3%, down from 57.5%).
Financially, median research expenditures decreased across
all institution types, the first such decline since 2020.
There’s also a shift in graduate student funding towards
teaching assistantships (34.71%, up 5%) and away from
research assistantships (54.70%, down 6%), with externally
funded RAs decreasing for the second consecutive year. Finally, academic
units report a net reduction in physical space per faculty
member because faculty size increases have not been matched by
comparable changes in total available space, alongside a slight
reduction in overall staff support, notably in administrative
staff. These dynamics suggest a growing but potentially strained
academic environment.
We continue to have concerns about the declining response rate to the
survey, as it impacts the reliability of conclusions that we draw. We
also are experiencing more departments not disaggregating degree and
enrollment data by gender and race/ethnicity. We encourage
the community to reach out to us to identify how we can support
departments in reporting their departmental data in the Taulbee Survey.
Annual Report
