U. Dallas

Rankings

Data year	Earned doctorates			Full-time graduate students						Total R&D expenditures
Data year	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked
2023	382	17.6	459	566	17.5	679				888	3.8	914
2022	350	24.2	457	532	22.6	680				759	16.5	900
2021	363	19.6	447	501	28.3	691				864	5.8	908
2020	412	9.4	450	528	25.2	698
2019	361	20.1	447	539	23.5	697
2018	385	11	428	534	24.5	700
2017	338	21.3	425	558	19.3	684
2016	349	19.7	430	577	18.1	697
2015	389	9.6	426	580	17.2	693
2014	372	12.8	422	556	20	688

NOTES:

1. See TableBuilder for the prior year data.
2. Blank white cells indicate data not available, not applicable, or institution not eligible for survey.
3. Data from the Survey of Science and Engineering Research Facilities is collected every two years.

Data sources

Download all tables in Excel format

Data

Number of earned doctorates, by trend major field of study of recipients: 2023–14
Fields	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014
All fields	7	9	7	3	8	5	9	8	4	4
Science and engineering	2	1	.	1	4	1	4	2	2	1
Social sciences	2	1	.	1	4	1	4	2	2	1
Political science and government	2	1	.	1	4	1	4	2	2	1
Non-science and engineering	5	8	7	2	4	4	5	6	2	3
Humanities and arts	5	8	7	2	4	4	5	6	2	3
Letters	3	5	3	2	1	2	3	2	1	2
Foreign languages and literature	.	.	.	.	1	.	.	.	.	.
Philosophy and religious studies	2	3	4	.	2	2	2	4	1	1

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Earned Doctorates

Full-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2021	2019	2017	2015	2014
Male	30	43	55	36	30	i	30	25	23	25	24
Female	13	19	18	22	22	i	22	16	14	11	14
U.S. citizens and permanent residents	33	54	61	32	43	i	43	30	27	27	32
Hispanic or Latino	6	7	11	2	6	i	6	4	2	2	4
Not Hispanic or Latino	24	44	47	28	35	i	35	25	24	24	25
American Indian or Alaska Native	1	1	0	0	0	i	0	0	0	0	1
Asian	3	6	7	3	2	i	2	3	2	2	1
Black or African American	3	6	8	4	3	i	3	2	2	3	2
Native Hawaiian or Other Pacific Islander	0	0	0	0	0	i	0	0	0	0	0
White	17	30	31	21	30	i	30	20	20	19	21
More than one race	0	1	1	0	0	i	0	0	0	0	0
Unknown ethnicity and race	3	3	3	2	2	i	2	1	1	1	3
Temporary visa holders	10	8	12	26	9	i	9	11	10	9	6
Science and engineering	43	62	73	58	52	i	52	41	37	36	38
Science	43	62	73	58	52	i	52	41	37	36	38
Agricultural and veterinary sciences	0	0	0	0	0	i	0	0	0	0	0
Biological and biomedical sciences	0	0	0	0	0	i	0	0	0	0	0
Communication	0	0	0	0	0	i	0	0	0	0	0
Computer and information sciences	13	23	34	33	21	i	21	12	11	13	4
Family and consumer sciences and human sciences	0	0	0	0	0	i	0	0	0	0	0
Geosciences, atmospheric, and ocean sciences	0	0	0	0	0	i	0	0	0	0	0
Mathematics and statistics	5	5	7	0	0	i	0	0	0	0	0
Multidisciplinary and interdisciplinary sciences	0	0	0	0	0	i	0	0	0	0	0
Natural resources and conservation	0	0	0	0	0	i	0	0	0	0	0
Physical sciences	0	0	0	0	0	i	0	0	0	0	0
Psychology	8	9	8	7	8	i	8	13	9	5	11
Social sciences	17	25	24	18	23	i	23	16	17	18	23
Engineering	0	0	0	0	0	i	0	0	0	0	0
Aerospace, aeronautical, and astronautical engineering	0	0	0	0	0	i	0	0	0	0	0
Biological, biomedical, and biosystems engineering	0	0	0	0	0	i	0	0	0	0	0
Chemical, petroleum, and chemical-related engineering	0	0	0	0	0	i	0	0	0	0	0
Civil, environmental, transportation and related engineering fields	0	0	0	0	0	i	0	0	0	0	0
Electrical, electronics, communications and computer engineering	0	0	0	0	0	i	0	0	0	0	0
Industrial, manufacturing, systems engineering and operations research	0	0	0	0	0	i	0	0	0	0	0
Mechanical engineering	0	0	0	0	0	i	0	0	0	0	0
Metallurgical, mining, materials and related engineering fields	0	0	0	0	0	i	0	0	0	0	0
Other engineering	0	0	0	0	0	i	0	0	0	0	0
Clinical medicine	0	0	0	0	0	i	0	0	0	0	0
Other health	0	0	0	0	0	i	0	0	0	0	0

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Part-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2021	2019	2017	2015	2014
Male	44	62	87	75	81	i	82	69	31	34	35
Female	28	37	46	47	34	i	33	21	18	17	18
U.S. citizens and permanent residents	71	95	124	113	105	i	105	86	45	45	48
Hispanic or Latino	20	24	16	9	8	i	8	9	4	4	2
Not Hispanic or Latino	49	71	107	101	94	i	94	73	39	40	45
American Indian or Alaska Native	1	0	1	0	0	i	0	0	0	1	0
Asian	3	9	19	16	14	i	14	13	6	5	6
Black or African American	23	29	42	46	40	i	40	26	15	14	17
Native Hawaiian or Other Pacific Islander	0	1	0	1	0	i	0	0	0	0	0
White	21	31	42	38	40	i	40	34	18	20	21
More than one race	1	1	3	0	0	i	0	0	0	0	1
Unknown ethnicity and race	2	0	1	3	3	i	3	4	2	1	1
Temporary visa holders	1	4	9	9	10	i	10	4	4	6	5
Science and engineering	72	99	133	122	115	i	115	90	49	51	53
Science	72	99	133	122	115	i	115	90	49	51	53
Agricultural and veterinary sciences	0	0	0	0	0	i	0	0	0	0	0
Biological and biomedical sciences	0	0	0	0	0	i	0	0	0	0	0
Communication	0	0	0	0	0	i	0	0	0	0	0
Computer and information sciences	57	79	114	109	102	i	103	75	37	32	42
Family and consumer sciences and human sciences	0	0	0	0	0	i	0	0	0	0	0
Geosciences, atmospheric, and ocean sciences	0	0	0	0	0	i	0	0	0	0	0
Mathematics and statistics	5	8	10	0	0	i	0	0	0	0	0
Multidisciplinary and interdisciplinary sciences	0	0	0	0	0	i	0	0	0	7	0
Natural resources and conservation	0	0	0	0	0	i	0	0	0	0	0
Physical sciences	0	0	0	0	0	i	0	0	0	0	0
Psychology	4	4	6	5	7	i	6	5	6	6	6
Social sciences	6	8	3	8	6	i	6	10	6	6	5
Engineering	0	0	0	0	0	i	0	0	0	0	0
Aerospace, aeronautical, and astronautical engineering	0	0	0	0	0	i	0	0	0	0	0
Biological, biomedical, and biosystems engineering	0	0	0	0	0	i	0	0	0	0	0
Chemical, petroleum, and chemical-related engineering	0	0	0	0	0	i	0	0	0	0	0
Civil, environmental, transportation and related engineering fields	0	0	0	0	0	i	0	0	0	0	0
Electrical, electronics, communications and computer engineering	0	0	0	0	0	i	0	0	0	0	0
Industrial, manufacturing, systems engineering and operations research	0	0	0	0	0	i	0	0	0	0	0
Mechanical engineering	0	0	0	0	0	i	0	0	0	0	0
Metallurgical, mining, materials and related engineering fields	0	0	0	0	0	i	0	0	0	0	0
Other engineering	0	0	0	0	0	i	0	0	0	0	0
Clinical medicine	0	0	0	0	0	i	0	0	0	0	0
Other health	0	0	0	0	0	i	0	0	0	0	0

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health receiving primary support from federal sources, by field: 2023–14
Field	2023	2019	2014
All surveyed fields	3	5	i	3
Science and engineering	3	5	i	3
Science	3	5	i	3
Agricultural and veterinary sciences	0	0	i	0
Biological and biomedical sciences	0	0	i	0
Communication	0	0	i	0
Computer and information sciences	0	0	i	3
Family and consumer sciences and human sciences	0	0	i	0
Geosciences, atmospheric, and ocean sciences	0	0	i	0
Mathematics and statistics	0	0	i	0
Multidisciplinary and interdisciplinary sciences	0	0	i	0
Natural resources and conservation	0	0	i	0
Physical sciences	0	0	i	0
Psychology	0	0	i	0
Social sciences	3	5	i	0
Engineering	0	0	i	0
Aerospace, aeronautical, and astronautical engineering	0	0	i	0
Biological, biomedical, and biosystems engineering	0	0	i	0
Chemical, petroleum, and chemical-related engineering	0	0	i	0
Civil, environmental, transportation and related engineering fields	0	0	i	0
Electrical, electronics, communications and computer engineering	0	0	i	0
Industrial, manufacturing, systems engineering and operations research	0	0	i	0
Mechanical engineering	0	0	i	0
Metallurgical, mining, materials and related engineering fields	0	0	i	0
Other engineering	0	0	i	0
Health	0	0	i	0
Clinical medicine	0	0	i	0
Other health	0	0	i	0

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health, by type and primary source of support: 2023–14
2023	2022	2020	2018	2016	2014
All types and sources of support	43	62	73	58	52	i	52	41	37	36	38
Fellowships	0	0	0	0	2	i	2	1	0	0	0
Federal	0	0	0	0	0	i	0	0	0	0	0
Institutional	0	0	0	0	2	i	2	1	0	0	0
Nonfederal	0	0	0	0	0	i	0	0	0	0	0
Research assistantships	0	0	0	0	0	i	0	0	0	0	0
Federal	0	0	0	0	0	i	0	0	0	0	0
Institutional	0	0	0	0	0	i	0	0	0	0	0
Nonfederal	0	0	0	0	0	i	0	0	0	0	0
Teaching assistantships	2	4	1	3	3	i	3	0	0	0	0
Federal	0	0	0	0	0	i	0	0	0	0	0
Institutional	2	4	1	3	3	i	3	0	0	0	0
Nonfederal	0	0	0	0	0	i	0	0	0	0	0
Other types of support	41	58	72	55	47	i	47	40	37	36	38
Federal	3	0	5	0	0	i	0	0	3	0	0
Institutional	8	6	8	8	9	i	9	11	7	8	16
Nonfederal	0	0	0	0	0	i	0	0	2	0	0
Personal resources	30	52	59	47	38	i	38	29	25	28	22

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Postdoctorates in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2021	2019	2014
Science and engineering	1	1	2	i
Science	1	1	2	i
Agricultural and veterinary sciences	0	0	0	i
Biological and biomedical sciences	0	0	0	i
Communication	0	0	0	i
Computer and information sciences	0	0	0	i
Family and consumer sciences and human sciences	0	0	0	i
Geosciences, atmospheric, and ocean sciences	0	0	0	i
Mathematics and statistics	1	1	1	i
Multidisciplinary and interdisciplinary sciences	0	0	0	i
Natural resources and conservation	0	0	0	i
Physical sciences	0	0	1	i
Psychology	0	0	0	i
Social sciences	0	0	0	i
Engineering	0	0	0	i
Aerospace, aeronautical, and astronautical engineering	0	0	0	i
Biological, biomedical, and biosystems engineering	0	0	0	i
Chemical, petroleum, and chemical-related engineering	0	0	0	i
Civil, environmental, transportation and related engineering fields	0	0	0	i
Electrical, electronics, communications and computer engineering	0	0	0	i
Industrial, manufacturing, systems engineering and operations research	0	0	0	i
Mechanical engineering	0	0	0	i
Metallurgical, mining, materials and related engineering fields	0	0	0	i
Other engineering	0	0	0	i
Clinical medicine	0	0	0	i
Other health	0	0	0	i

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Federally supported science, engineering, and health postdoctorates, by field: 2023–14
Field	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014
All surveyed fields	0		0		0		0		0	i	0		0		0		0		0
Science and engineering	0		0		0		0		0	i	0		0		0		0		0
Science	0		0		0		0		0	i	0		0		0		0		0
Agricultural and veterinary sciences	0		0		0		0		0	i	0		0		0		0		0
Biological and biomedical sciences	0		0		0		0		0	i	0		0		0		0		0
Communication	0		0		0		0		0	i	0		0		0		0		0
Computer and information sciences	0		0		0		0		0	i	0		0		0		0		0
Family and consumer sciences and human sciences	0		0		0		0		0	i	0		0		0		0		0
Geosciences, atmospheric, and ocean sciences	0		0		0		0		0	i	0		0		0		0		0
Mathematics and statistics	0		0		0		0		0	i	0		0		0		0		0
Multidisciplinary and interdisciplinary sciences	0		0		0		0		0	i	0		0		0		0		0
Natural resources and conservation	0		0		0		0		0	i	0		0		0		0		0
Physical sciences	0		0		0		0		0	i	0		0		0		0		0
Psychology	0		0		0		0		0	i	0		0		0		0		0
Social sciences	0		0		0		0		0	i	0		0		0		0		0
Engineering	0		0		0		0		0	i	0		0		0		0		0
Aerospace, aeronautical, and astronautical engineering	0		0		0		0		0	i	0		0		0		0		0
Biological, biomedical, and biosystems engineering	0		0		0		0		0	i	0		0		0		0		0
Chemical, petroleum, and chemical-related engineering	0		0		0		0		0	i	0		0		0		0		0
Civil, environmental, transportation and related engineering fields	0		0		0		0		0	i	0		0		0		0		0
Electrical, electronics, communications and computer engineering	0		0		0		0		0	i	0		0		0		0		0
Industrial, manufacturing, systems engineering and operations research	0		0		0		0		0	i	0		0		0		0		0
Mechanical engineering	0		0		0		0		0	i	0		0		0		0		0
Metallurgical, mining, materials and related engineering fields	0		0		0		0		0	i	0		0		0		0		0
Other engineering	0		0		0		0		0	i	0		0		0		0		0
Health	0		0		0		0		0	i	0		0		0		0		0
Clinical medicine	0		0		0		0		0	i	0		0		0		0		0
Other health	0		0		0		0		0	i	0		0		0		0		0

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Total R&D expenditures, by field: 2023–14
(Dollars in thousands)
Field	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014
All R&D fields	233	425	203	.	.	.	.	.	.	.
Science	233	425	203	.	.	.	.	.	.	.
Computer and information sciences	0	0	0	.	.	.	.	.	.	.
Geosciences, atmospheric sciences, and ocean sciences	0	0	0	.	.	.	.	.	.	.
Atmospheric science and meteorology	0	0	0	.	.	.	.	.	.	.
Geological and earth sciences	0	0	0	.	.	.	.	.	.	.
Ocean sciences and marine sciences	0	0	0	.	.	.	.	.	.	.
Geosciences, atmospheric sciences, and ocean sciences nec	0	0	0	.	.	.	.	.	.	.
Life sciences	8	136	30	.	.	.	.	.	.	.
Agricultural sciences	0	0	0	.	.	.	.	.	.	.
Biological and biomedical sciences	0	0	0	.	.	.	.	.	.	.
Health sciences	0	0	0	.	.	.	.	.	.	.
Natural resources and conservation	0	0	0	.	.	.	.	.	.	.
Life sciences nec	0	0	0	.	.	.	.	.	.	.
Mathematics and statistics	0	0	0	.	.	.	.	.	.	.
Physical sciences	225	289	172	.	.	.	.	.	.	.
Astronomy and astrophysics	0	0	0	.	.	.	.	.	.	.
Chemistry	0	0	0	.	.	.	.	.	.	.
Materials science	0	0	0	.	.	.	.	.	.	.
Physics	0	0	0	.	.	.	.	.	.	.
Physical sciences nec	0	0	0	.	.	.	.	.	.	.
Psychology	0	0	1	.	.	.	.	.	.	.
Social sciences	0	0	0	.	.	.	.	.	.	.
Anthropology	0	0	0	.	.	.	.	.	.	.
Economics	0	0	0	.	.	.	.	.	.	.
Political science and government	0	0	0	.	.	.	.	.	.	.
Sociology, demography, and population studies	0	0	0	.	.	.	.	.	.	.
Social sciences nec	0	0	0	.	.	.	.	.	.	.
Sciences nec	0	0	0	.	.	.	.	.	.	.
Engineering	0	0	0	.	.	.	.	.	.	.
Engineering	0	0	0	.	.	.	.	.	.	.
Aerospace, aeronautical, and astronautical engineering	0	0	0	.	.	.	.	.	.	.
Bioengineering and biomedical engineering	0	0	0	.	.	.	.	.	.	.
Chemical engineering	0	0	0	.	.	.	.	.	.	.
Civil engineering	0	0	0	.	.	.	.	.	.	.
Electrical, electronic, and communications engineering	0	0	0	.	.	.	.	.	.	.
Industrial and manufacturing engineering	0	0	0	.	.	.	.	.	.	.
Mechanical engineering	0	0	0	.	.	.	.	.	.	.
Metallurgical and materials engineering	0	0	0	.	.	.	.	.	.	.
Engineering nec	0	0	0	.	.	.	.	.	.	.
Non-S&E	0	0	0	.	.	.	.	.	.	.
Business management and business administration	0	0	0	.	.	.	.	.	.	.
Communication and communications technologies	0	0	0	.	.	.	.	.	.	.
Education	0	0	0	.	.	.	.	.	.	.
Humanities	0	0	0	.	.	.	.	.	.	.
Law	0	0	0	.	.	.	.	.	.	.
Social work	0	0	0	.	.	.	.	.	.	.
Visual and performing arts	0	0	0	.	.	.	.	.	.	.
Non-S&E nec	0	0	0	.	.	.	.	.	.	.

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Total R&D expenditures, by source of funds and R&D field: 2023
(Dollars in thousands)
Field	All R&D expenditures	Federal government	State and local government	Institution funds	Business
All R&D fields	233	30	.	.	.
Science	233	30	.	.	.
Computer and information sciences	0	0	.	.	.
Geosciences, atmospheric sciences, and ocean sciences	0	0	.	.	.
Atmospheric science and meteorology	0	0	.	.	.
Geological and earth sciences	0	0	.	.	.
Ocean sciences and marine sciences	0	0	.	.	.
Geosciences, atmospheric sciences, and ocean sciences nec	0	0	.	.	.
Life sciences	8	8	.	.	.
Agricultural sciences	0	0	.	.	.
Biological and biomedical sciences	0	0	.	.	.
Health sciences	0	0	.	.	.
Natural resources and conservation	0	0	.	.	.
Life sciences nec	0	0	.	.	.
Mathematics and statistics	0	0	.	.	.
Physical sciences	225	22	.	.	.
Astronomy and astrophysics	0	0	.	.	.
Chemistry	0	0	.	.	.
Materials science	0	0	.	.	.
Physics	0	0	.	.	.
Physical sciences nec	0	0	.	.	.
Psychology	0	0	.	.	.
Social sciences	0	0	.	.	.
Anthropology	0	0	.	.	.
Economics	0	0	.	.	.
Political science and government	0	0	.	.	.
Sociology, demography, and population studies	0	0	.	.	.
Social sciences nec	0	0	.	.	.
Sciences nec	0	0	.	.	.
Engineering	0	0	.	.	.
Engineering	0	0	.	.	.
Aerospace, aeronautical, and astronautical engineering	0	0	.	.	.
Bioengineering and biomedical engineering	0	0	.	.	.
Chemical engineering	0	0	.	.	.
Civil engineering	0	0	.	.	.
Electrical, electronic, and communications engineering	0	0	.	.	.
Industrial and manufacturing engineering	0	0	.	.	.
Mechanical engineering	0	0	.	.	.
Metallurgical and materials engineering	0	0	.	.	.
Engineering nec	0	0	.	.	.
Non-S&E	0	0	.	.	.
Business management and business administration	0	0	.	.	.
Communication and communications technologies	0	0	.	.	.
Education	0	0	.	.	.
Humanities	0	0	.	.	.
Law	0	0	.	.	.
Social work	0	0	.	.	.
Visual and performing arts	0	0	.	.	.
Non-S&E nec	0	0	.	.	.

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.
Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Federally funded R&D expenditures, by federal agency: 2023–14
(Dollars in thousands)
Source of funds	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014
Federal Agencies	.	.	.	.	.	.	.	.	.	.
DOD	.	.	.	.	.	.	.	.	.	.
DOE	.	.	.	.	.	.	.	.	.	.
HHS	.	.	.	.	.	.	.	.	.	.
NASA	.	.	.	.	.	.	.	.	.	.
NSF	.	.	.	.	.	.	.	.	.	.
USDA	.	.	.	.	.	.	.	.	.	.
Other	.	.	.	.	.	.	.	.	.	.

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Headcount of R&D personnel: 2023–17 [temporarily discontinued]
Year
2023	.	.	.	.
2022	.	.	.	.
2021	.	.	.	.
2020	.	.	.	.
2019	.	.	.	.
2018	.	.	.	.
2017	.	.	.	.

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

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