by Michael Yamaner and Caren A. Arbeit[1]

The number of graduate students enrolled in science, engineering, and health (SEH) programs at U.S. academic institutions rose by 3% between 2017 and 2018, growing to 668,307. Of the 2018 students, 36% were in full-time doctoral programs and 37% were in full-time master's programs (figure 1). The increase in overall enrollment was driven by increases in part-time master's, full-time doctoral, and full-time master's students (increases of 9,082, 7,119, and 3,542 students, respectively). Part-time doctoral enrollment declined by 548 students (figure 2, table 1, and table 2).

These and other findings are from the 2018 Survey of Graduate Students and Postdoctorates in Science and Engineering (GSS). Data from the GSS provide insight into the composition of the current and future science and engineering (S&E) workforce by collecting data on doctorate-holding nonfaculty researchers (NFRs), postdoctoral appointees (postdocs), and graduate students in SEH fields. Beginning in 2017, the GSS started collecting information on master's and doctoral students separately in order to look at differences in enrollment patterns and financial support. This 2018 report is the first to show trend data by graduate degree type. The GSS is sponsored by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF) and by the National Institutes of Health (NIH).

FIGURE 1. Enrollment, by degree level and enrollment intensity: 2018

FIGURE 1. Enrollment, by degree level and enrollment intensity: 2018.

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering, 2018.

Figure 1 Source Data: Excel file

FIGURE 2. Enrollment, by degree level and enrollment intensity: 2017–18

FIGURE 2. Enrollment, by degree level and enrollment intensity: 2017–18.

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

Figure 2 Source Data: Excel file

TABLE 1. Doctoral enrollment by enrollment status, sex, citizenship, ethnicity, race, and selected fields: 2017–18
Characteristic All Full time Part time Percent change
2017 2018   2017 2018   2017 2018   All Full time Part time

a Race and ethnicity data are available for U.S. citizens and permanent residents only.
b Other engineering includes Agricultural engineering, Biological and biosystems engineering, Mining engineering, Nanotechnology, Nuclear engineering, Petroleum engineering, and Engineering not elsewhere classified.

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

Table 1 Source Data: Excel file

All surveyed fields 270,525 277,096   235,778 242,897   34,747 34,199   2.4 3.0 -1.6
Male 155,699 158,019   136,596 139,257   19,103 18,762   1.5 1.9 -1.8
Female 114,826 119,077   99,182 103,640   15,644 15,437   3.7 4.5 -1.3
U.S. citizens and permanent residentsa 164,585 167,291   139,077 142,158   25,508 25,133   1.6 2.2 -1.5
Male 86,517 86,601   73,517 73,849   13,000 12,752   0.1 0.5 -1.9
Female 78,068 80,690   65,560 68,309   12,508 12,381   3.4 4.2 -1.0
Hispanic or Latino 14,999 16,161   12,935 14,009   2,064 2,152   7.7 8.3 4.3
Not Hispanic or Latino
American Indian or Alaska Native 714 713   546 580   168 133   -0.1 6.2 -20.8
Asian 15,952 16,750   13,992 14,789   1,960 1,961   5.0 5.7 0.1
Black or African American 9,483 10,065   7,343 7,866   2,140 2,199   6.1 7.1 2.8
Native Hawaiian or Other Pacific Islander 235 233   190 189   45 44   -0.9 -0.5 -2.2
White 109,271 109,725   92,215 93,243   17,056 16,482   0.4 1.1 -3.4
More than one race 5,420 5,744   4,816 5,047   604 697   6.0 4.8 15.4
Unknown race and ethnicity 8,511 7,900   7,040 6,435   1,471 1,465   -7.2 -8.6 -0.4
Temporary visa holders 105,940 109,805   96,701 100,739   9,239 9,066   3.6 4.2 -1.9
Male 69,182 71,418   63,079 65,408   6,103 6,010   3.2 3.7 -1.5
Female 36,758 38,387   33,622 35,331   3,136 3,056   4.4 5.1 -2.6
Science and engineering 255,224 261,165   224,695 231,297   30,529 29,868   2.3 2.9 -2.2
Science 186,399 190,928   165,120 170,004   21,279 20,924   2.4 3.0 -1.7
Agricultural sciences 3,744 3,880   3,157 3,273   587 607   3.6 3.7 3.4
Biological and biomedical sciences 51,291 52,627   47,977 49,254   3,314 3,373   2.6 2.7 1.8
Computer and information sciences 14,291 16,127   11,886 13,596   2,405 2,531   12.8 14.4 5.2
Geosciences, atmospheric sciences, and ocean sciences 6,539 6,704   5,797 5,950   742 754   2.5 2.6 1.6
Mathematics and statistics 13,101 13,388   11,903 12,248   1,198 1,140   2.2 2.9 -4.8
Multidisciplinary and interdisciplinary studies 2,931 2,924   2,320 2,388   611 536   -0.2 2.9 -12.3
Natural resources and conservation 3,568 3,716   2,831 2,962   737 754   4.1 4.6 2.3
Physical sciences 35,461 36,000   32,954 33,756   2,507 2,244   1.5 2.4 -10.5
Psychology 20,395 20,303   16,617 16,538   3,778 3,765   -0.5 -0.5 -0.3
Social sciences 35,078 35,259   29,678 30,039   5,400 5,220   0.5 1.2 -3.3
Engineering 68,825 70,237   59,575 61,293   9,250 8,944   2.1 2.9 -3.3
Aerospace, aeronautical, and astronautical engineering 2,386 2,506   2,078 2,173   308 333   5.0 4.6 8.1
Bioengineering and biomedical engineering 6,845 7,278   6,103 6,564   742 714   6.3 7.6 -3.8
Chemical engineering 6,874 6,950   6,451 6,583   423 367   1.1 2.0 -13.2
Civil engineering 7,626 7,732   6,529 6,573   1,097 1,159   1.4 0.7 5.7
Electrical, electronics, and communications engineering 17,936 18,119   15,263 15,473   2,673 2,646   1.0 1.4 -1.0
Engineering mechanics, physics, and science 1,457 1,428   1,333 1,296   124 132   -2.0 -2.8 6.5
Industrial and manufacturing engineering 3,633 3,598   2,841 2,901   792 697   -1.0 2.1 -12.0
Mechanical engineering 11,149 11,159   9,744 9,898   1,405 1,261   0.1 1.6 -10.2
Metallurgical and materials engineering 4,426 4,610   4,071 4,284   355 326   4.2 5.2 -8.2
Other engineeringb 6,493 6,857   5,162 5,548   1,331 1,309   5.6 7.5 -1.7
Health 15,301 15,931   11,083 11,600   4,218 4,331   4.1 4.7 2.7
Clinical medicine 4,410 4,508   3,260 3,423   1,150 1,085   2.2 5.0 -5.7
Other health 10,891 11,423   7,823 8,177   3,068 3,246   4.9 4.5 5.8
TABLE 2. Master's enrollment by enrollment status, sex, citizenship, ethnicity, race, and selected fields: 2017–18
Characteristic All Full time Part time Percent change
2017 2018   2017 2018   2017 2018   All Full time Part time

a Race and ethnicity data are available for U.S. citizens and permanent residents only.
b Other engineering includes Agricultural engineering, Biological and biosystems engineering, Mining engineering, Nanotechnology, Nuclear engineering, Petroleum engineering, and Engineering not elsewhere classified.

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

Table 2 Source Data: Excel file

All surveyed fields 378,587 391,211   245,010 248,552   133,577 142,659   3.3 1.4 6.8
Male 200,748 201,314   125,897 123,457   74,851 77,857   0.3 -1.9 4.0
Female 177,839 189,897   119,113 125,095   58,726 64,802   6.8 5.0 10.3
U.S. citizens and permanent residentsa 251,896 271,290   141,321 149,533   110,575 121,757   7.7 5.8 10.1
Male 119,906 126,552   60,203 62,052   59,703 64,500   5.5 3.1 8.0
Female 131,990 144,738   81,118 87,481   50,872 57,257   9.7 7.8 12.6
Hispanic or Latino 29,622 32,923   17,316 19,011   12,306 13,912   11.1 9.8 13.1
Not Hispanic or Latino
American Indian or Alaska Native 1,136 1,219   706 685   430 534   7.3 -3.0 24.2
Asian 26,093 28,557   14,825 15,882   11,268 12,675   9.4 7.1 12.5
Black or African American 23,266 25,878   11,846 13,294   11,420 12,584   11.2 12.2 10.2
Native Hawaiian or Other Pacific Islander 468 497   240 269   228 228   6.2 12.1 0.0
White 148,031 156,010   83,943 86,699   64,088 69,311   5.4 3.3 8.1
More than one race 8,119 9,120   4,996 5,455   3,123 3,665   12.3 9.2 17.4
Unknown race and ethnicity 15,161 17,086   7,449 8,238   7,712 8,848   12.7 10.6 14.7
Temporary visa holders 126,691 119,921   103,689 99,019   23,002 20,902   -5.3 -4.5 -9.1
Male 80,842 74,762   65,694 61,405   15,148 13,357   -7.5 -6.5 -11.8
Female 45,849 45,159   37,995 37,614   7,854 7,545   -1.5 -1.0 -3.9
Science and engineering 325,925 334,391   209,221 210,287   116,704 124,104   2.6 0.5 6.3
Science 229,169 241,327   145,689 151,059   83,480 90,268   5.3 3.7 8.1
Agricultural sciences 5,603 5,658   3,609 3,626   1,994 2,032   1.0 0.5 1.9
Biological and biomedical sciences 33,926 35,306   23,889 24,759   10,037 10,547   4.1 3.6 5.1
Computer and information sciences 75,618 77,351   44,320 44,193   31,298 33,158   2.3 -0.3 5.9
Geosciences, atmospheric sciences, and ocean sciences 6,006 5,629   4,107 3,820   1,899 1,809   -6.3 -7.0 -4.7
Mathematics and statistics 16,568 18,073   11,551 12,707   5,017 5,366   9.1 10.0 7.0
Multidisciplinary and interdisciplinary studies 6,923 7,414   4,038 4,268   2,885 3,146   7.1 5.7 9.0
Natural resources and conservation 7,311 7,691   4,866 5,072   2,445 2,619   5.2 4.2 7.1
Physical sciences 6,368 6,075   4,197 3,915   2,171 2,160   -4.6 -6.7 -0.5
Psychology 29,638 35,404   19,318 21,987   10,320 13,417   19.5 13.8 30.0
Social sciences 41,208 42,726   25,794 26,712   15,414 16,014   3.7 3.6 3.9
Engineering 96,756 93,064   63,532 59,228   33,224 33,836   -3.8 -6.8 1.8
Aerospace, aeronautical, and astronautical engineering 3,322 3,342   2,183 2,128   1,139 1,214   0.6 -2.5 6.6
Bioengineering and biomedical engineering 4,037 4,202   3,234 3,369   803 833   4.1 4.2 3.7
Chemical engineering 3,292 3,061   2,396 2,220   896 841   -7.0 -7.3 -6.1
Civil engineering 13,506 12,729   9,084 8,289   4,422 4,440   -5.8 -8.8 0.4
Electrical, electronics, and communications engineering 29,816 28,108   20,941 19,341   8,875 8,767   -5.7 -7.6 -1.2
Engineering mechanics, physics, and science 679 729   428 472   251 257   7.4 10.3 2.4
Industrial and manufacturing engineering 12,272 12,389   7,212 6,492   5,060 5,897   1.0 -10.0 16.5
Mechanical engineering 16,279 15,434   10,778 10,178   5,501 5,256   -5.2 -5.6 -4.5
Metallurgical and materials engineering 2,115 2,079   1,587 1,539   528 540   -1.7 -3.0 2.3
Other engineeringb 11,438 10,991   5,689 5,200   5,749 5,791   -3.9 -8.6 0.7
Health 52,662 56,820   35,789 38,265   16,873 18,555   7.9 6.9 10.0
Clinical medicine 25,283 27,494   15,043 16,233   10,240 11,261   8.7 7.9 10.0
Other health 27,379 29,326   20,746 22,032   6,633 7,294   7.1 6.2 10.0

Doctoral Degree Enrollment

Counts of doctoral students receiving training in SEH are a key indicator of the vitality of the research and development enterprise in the United States. Between 2017 and 2018, doctoral program enrollment increased by 6,571 students, or 2%. This includes a 3% increase in the number of full-time doctoral students but also a 2% decline in part-time doctoral students (table 1).

Data on the doctoral enrollment population provide information on the demographic composition of the students, their fields of study, and changes over time. Between 2017 and 2018, doctoral enrollment increased by 2,706 students (2%) among U.S. citizens and permanent residents and increased by 3,865 students (4%) among temporary visa holders. In 2018, 88% of doctoral students were enrolled full-time (table 1).

Doctoral enrollment for several historically underrepresented groups also grew between 2017 and 2018. Specifically, doctoral enrollment among women grew at more than twice the rate of male enrollment (4% vs. 2%). Also, doctoral enrollment among Hispanics or Latinos and among blacks or African Americans grew by 8% and 6%, respectively, compared to an increase of less than 1% among whites (table 1).

Across the SEH fields of study, full-time doctoral enrollment rose in 20 of the 22 fields of study between 2017 and 2018. Computer and information sciences had the largest increase in full-time students, rising by 1,710 students (14%), while the field of psychology and the field of engineering mechanics, physics, and science saw the only declines in full-time enrollment, falling by 79 students (-1%) and 37 students (-3%), respectively. Part-time doctoral enrollment fell in 13 of the 22 fields. Physical sciences saw the largest decline in part-time doctoral students, falling by 263 (-11%), and other health saw the largest increase, rising by 178 part-time students (6%) (table 1).

Master's Degree Enrollment

Master's degree holders are an essential part of the highly skilled S&E workforce, with nearly one-quarter of non-academic S&E workers holding a master's degree (24%)[2]. Between 2017 and 2018, enrollment in master's degree programs grew by 12,624 students (3%). This includes a rise in both full- and part-time enrollment, which increased by 3,542 students (1%) and 9,082 students (7%), respectively. In 2018, 64% of master's students were enrolled full time (table 2).

Between 2017 and 2018, enrollment in SEH master's programs among U.S. citizens and permanent residents increased by 19,394 students (8%), which included an increase of 8,212 enrolled full time (6%) and an increase of 11,182 enrolled part time (10%). Overall, there was a 5% decline in temporary visa holders (6,770 students) enrolled in master's-level SEH programs (table 2).

Overall, enrollment in master's programs increased by 12,058 women (7%) and by 566 men (less than 1%) between 2017 and 2018. Among U.S. citizens and permanent residents, enrollment among women rose by 12,748 (10%), of which 6,363 were enrolled full time (8% increase) and 6,385 were enrolled part time (13% increase). Among temporary visa holders, enrollment declined by 6,080 men (-8%) and 690 women (-2%) (table 2).

Between 2017 and 2018, enrollment in master's programs grew at a larger rate for part-time students than for full-time students for all racial and ethnic groups except black or African American students and Native Hawaiian or Pacific Islander students. Enrollment in part-time master's program increased by 10% or more for the following racial and ethnic categories: American Indians or Alaska Natives, Asians, Hispanics or Latinos, blacks or African Americans, and more than one race. The racial and ethnic groups with the largest percent change in total master's enrollment were more than one race and blacks or African Americans, which grew by 12% and 11%, respectively. The percent change for whites was 5% (table 2).

An examination of enrollment by field of study shows that 8 out of 22 fields, including 6 engineering fields, had overall declines in master's enrollment. Electrical, electronics, and communications engineering showed the largest decline in the number of students (-1,708 students), and mechanical engineering had the second largest decline (-845 students). The fields of study with the largest increase in the number of master's students enrolled were psychology and clinical medicine, which rose by 5,766 and 2,211 students, respectively. Both of these fields of study also had large percentage increases in part-time enrollment, rising by 30% and 10%, respectively (table 2).

Postdoctoral Appointees and Nonfaculty Researchers in SEH Fields

Postdocs are recent doctorate or doctorate-equivalent recipients pursuing additional training to prepare for an independent career in research. The GSS is the primary source of data on postdoc employment and funding in the United States. The number of postdocs in SEH fields of study rose slightly from 64,733 in 2017 to 64,783 in 2018. However, despite the minimal change in the total number of postdocs, there were noticeable changes in the postdoc distribution by field of research. Geosciences, atmospheric sciences, and ocean sciences saw the largest decrease in the number of postdocs (decline of 363 students, or -17%), while clinical medicine saw the largest increase in number of postdocs (rising by 463 students, or 3%). Biological and biomedical sciences remains the largest SEH field of research accounting for one-third of all postdocs (table 3).

TABLE 3. Postdoctoral appointees and nonfaculty researchers in science, engineering, and health fields of research in all institutions, by sex and field: 2017–18
(Number)
Sex and field Postdoctoral appointees Nonfaculty researchers
2017 2018 Change Percent
change
  2017 2018 Change Percent
change

a Includes Aerospace, aeronautical, and astronautical engineering; Agricultural engineering; Biological and biosystems engineering; Mining engineering; Nanotechnology; Nuclear engineering; Petroleum engineering; and Engineering not elsewhere classified.

NOTE: "Field" refers to the field of the unit that reports postdoctoral appointees and nonfaculty researchers.

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

Table 3 Source Data: Excel file

All surveyed fields 64,733 64,783 50 0.1   28,180 29,284 1,104 3.9
Male 38,870 38,661 -209 -0.5   16,580 17,468 888 5.4
Female 25,863 26,122 259 1.0   11,600 11,816 216 1.9
Science and engineering 46,080 45,478 -602 -1.3   20,542 21,848 1,306 6.4
Science 38,241 37,564 -677 -1.8   17,268 18,278 1,010 5.8
Agricultural sciences 1,024 1,072 48 4.7   496 565 69 13.9
Biological and biomedical sciences 21,781 21,533 -248 -1.1   8,203 8,250 47 0.6
Computer and information sciences 854 879 25 2.9   476 515 39 8.2
Geosciences, atmospheric sciences, and ocean sciences 2,089 1,726 -363 -17.4   1,794 2,106 312 17.4
Mathematics and statistics 991 982 -9 -0.9   240 266 26 10.8
Multidisciplinary and interdisciplinary studies 1,131 980 -151 -13.4   806 832 26 3.2
Natural resources and conservation 731 764 33 4.5   364 580 216 59.3
Physical sciences 7,211 6,976 -235 -3.3   2,871 3,056 185 6.4
Psychology 1,082 1,145 63 5.8   494 507 13 2.6
Social sciences 1,347 1,507 160 11.9   1,524 1,601 77 5.1
Engineering 7,839 7,914 75 1.0   3,274 3,570 296 9.0
Bioengineering and biomedical engineering 1,398 1,433 35 2.5   415 440 25 6.0
Chemical engineering 1,197 1,142 -55 -4.6   281 257 -24 -8.5
Civil engineering 804 739 -65 -8.1   422 414 -8 -1.9
Electrical, electronics, and communications engineering 1,170 1,197 27 2.3   557 588 31 5.6
Engineering mechanics, physics, and science 316 354 38 12.0   200 220 20 10.0
Industrial and manufacturing engineering 127 156 29 22.8   119 105 -14 -11.8
Mechanical engineering 1,089 1,069 -20 -1.8   458 489 31 6.8
Metallurgical and materials engineering 550 549 -1 -0.2   181 215 34 18.8
Other engineering a 1,188 1,275 87 7.3   641 842 201 31.4
Health 18,653 19,305 652 3.5   7,638 7,436 -202 -2.6
Clinical medicine 16,100 16,563 463 2.9   6,448 6,159 -289 -4.5
Other health 2,553 2,742 189 7.4   1,190 1,277 87 7.3

Another important component of the academic research and development workforce are nonfaculty researchers (NFRs) who have doctorate degrees. As with postdocs, the GSS is the primary source of data on this population. As schools improve their administrative data systems to accurately reflect all faculty, the number of NFRs continues to increase. In 2018, 1,104 more NFRs were working at U.S. academic institutions than there were in 2017. Most of these 1,104 NFRs were in science fields of research. Between 2017 and 2018, there was a small decrease of 289 NFRs in clinical medicine (5%), which is the second largest field of study for NFRs behind biological and biomedical sciences (table 3).

Data Source and Limitations

Conducted since 1966, the GSS is an annual survey of all academic institutions in the United States that grant research-based master's or doctoral degrees in SEH fields. The 2018 GSS collected data from 19,592 organizational units (departments, programs, affiliated research centers, and health care facilities) at 715 eligible institutions and their affiliates in the United States, Puerto Rico, and Guam. The unit response rate was 98.9%, which is an improvement over 2017's rate of 97.6%. An overview of the survey is available at https://www.nsf.gov/statistics/srvygradpostdoc/.

In 2017, the GSS was redesigned to collect demographic and financial support data separately for master's and doctoral students, to prioritize electronic data interchange as the primary means of data submission[3], and to utilize the U.S. Department of Education's Classification of Instructional Programs (CIP) codes to report fields of study for graduate student enrollment data[4]. More information regarding the 2017 GSS redesign is available in the technical notes for the 2018 data tables (https://ncsesdata.nsf.gov/gradpostdoc/2018/gss18-tech-notes.pdf). Further, in 2017, NSF updated the GSS fields of study to align with the NCSES Taxonomy of Disciplines to increase comparability to other NCSES surveys and more accurately reflect how disciplines are currently organized.

Due to these changes, the 2017 and 2018 data are not directly comparable to previously collected GSS data. Trend comparisons can be made using the "2017old" estimates in the 2017 data tables, available at https://ncsesdata.nsf.gov/gradpostdoc/2017/.

GSS health fields are collected under the advisement of NIH. These GSS fields are about one-third of all health fields in the U.S. Department of Education's CIP taxonomy. NIH information on trends seen within these selected health fields can be found at https://report.nih.gov/nihdatabook/.

The full set of data tables from the 2018 survey are available at https://www.nsf.gov/statistics/srvygradpostdoc/. Data are also available in NCSES's interactive data tool (https://ncsesdata.nsf.gov/ids/gss). For more information about the survey, contact the GSS project officer, Michael Yamaner.

Notes

[1] Michael Yamaner, Human Resources Statistics Program, National Center for Science and Engineering Statistics, National Science Foundation, 2415 Eisenhower Avenue, Suite W14200, Alexandria, VA 22314 (myamaner@nsf.gov; 703-292-7815). Caren A. Arbeit, RTI International, Research Triangle Park, NC.

[2] National Science Board, National Science Foundation. 2019. Science and Engineering Indicators 2020: Science and Engineering Labor Force. Science and Engineering Indicators 2020. NSB-2019-8. Alexandria, VA. Available at https://ncses.nsf.gov/pubs/nsb20198/.

[3] Electronic data interchange is a method for transferring data between computer systems or networks using a standardized format.

[4] CIP is a taxonomy used for reporting postsecondary fields to the U.S. Department of Education (ED) for the Integrated Postsecondary Education Data System, a mandatory survey for institutions receiving federal financial aid. Thus, most of institutions in the GSS already use CIP codes to report data on graduate students. The CIP taxonomy was developed by the National Center for Education Statistics (within ED), which updates the taxonomy about once a decade; CIP was last revised in 2010. For more information, see http://nces.ed.gov/ipeds/cipcode/.