Data
U. Maryland, Baltimore County
| All races | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| U.S. citizens and permanent residents | 478 | 436 | 442 | 474 | 438 | 430 | 454 | 434 | 465 | 502 | ||||||||||
| Hispanic or Latino | 48 | 38 | 36 | 39 | 31 | 30 | 24 | 21 | 25 | 29 | ||||||||||
| Not Hispanic or Latino | 421 | 390 | 396 | 409 | 392 | 392 | 423 | 402 | 434 | 466 | ||||||||||
| American Indian or Alaska Native | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 1 | 1 | 0 | ||||||||||
| Asian | 78 | 67 | 66 | 61 | 64 | 55 | 57 | 45 | 57 | 47 | ||||||||||
| Black or African American | 84 | 66 | 57 | 75 | 67 | 60 | 64 | 59 | 61 | 75 | ||||||||||
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | ||||||||||
| White | 236 | 236 | 248 | 256 | 249 | 266 | 288 | 292 | 303 | 334 | ||||||||||
| More than one race | 23 | 21 | 24 | 16 | 12 | 10 | 12 | 5 | 10 | 9 | ||||||||||
| Unknown ethnicity and race | 9 | 8 | 10 | 26 | 15 | 8 | 7 | 11 | 6 | 7 | ||||||||||
| Temporary visa holders | 622 | 740 | 807 | 595 | 435 | 533 | 472 | 440 | 463 | 425 | ||||||||||
| Science and engineering | 1,100 | 1,176 | 1,249 | 1,069 | 873 | 963 | 926 | 874 | 928 | 927 | ||||||||||
| Science | 945 | 1,029 | 1,106 | 907 | 718 | 791 | 761 | 717 | 767 | 767 | ||||||||||
| Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Biological and biomedical sciences | 80 | 75 | 77 | 82 | 68 | 64 | 68 | 61 | 63 | 73 | ||||||||||
| Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Computer and information sciences | 509 | 602 | 671 | 457 | 321 | 394 | 354 | 320 | 383 | 365 | ||||||||||
| Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Geosciences, atmospheric, and ocean sciences | 12 | 13 | 12 | 13 | 9 | 7 | 5 | 0 | 2 | 2 | ||||||||||
| Mathematics and statistics | 43 | 40 | 37 | 38 | 42 | 41 | 43 | 43 | 46 | 44 | ||||||||||
| Multidisciplinary and interdisciplinary sciences | 74 | 75 | 14 | 11 | 10 | 18 | 19 | 20 | 1 | 5 | ||||||||||
| Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Physical sciences | 112 | 104 | 94 | 104 | 97 | 94 | 89 | 89 | 88 | 83 | ||||||||||
| Psychology | 20 | 21 | 81 | 83 | 81 | 79 | 84 | 93 | 76 | 88 | ||||||||||
| Social sciences | 95 | 99 | 120 | 119 | 90 | 94 | 99 | 91 | 105 | 106 | ||||||||||
| Engineering | 155 | 147 | 143 | 162 | 155 | 172 | 165 | 157 | 161 | 160 | ||||||||||
| Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Chemical, petroleum, and chemical-related engineering | 28 | 25 | 22 | 27 | 27 | 32 | 28 | 30 | 20 | 20 | ||||||||||
| Civil, environmental, transportation and related engineering fields | 18 | 14 | 14 | 16 | 11 | 11 | 11 | 8 | 11 | 13 | ||||||||||
| Electrical, electronics, communications and computer engineering | 55 | 55 | 66 | 75 | 66 | 77 | 79 | 71 | 71 | 58 | ||||||||||
| Industrial, manufacturing, systems engineering and operations research | 6 | 5 | 4 | 4 | 5 | 6 | 6 | 6 | 5 | 6 | ||||||||||
| Mechanical engineering | 48 | 48 | 37 | 40 | 46 | 46 | 41 | 42 | 54 | 63 | ||||||||||
| Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Other engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Health | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Clinical medicine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Other health | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
NOTES:
- . = 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).

