Data

U. Maryland, Baltimore County
All races | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 |
---|---|---|---|---|---|---|---|---|---|---|
All full-time students | 1,069 | 873 | 963 | 926 | 874 | 928 | 927 | 926 | 952 | 893 |
Male | 602 | 494 | 529 | 492 | 484 | 548 | 524 | 501 | 530 | 462 |
Female | 467 | 379 | 434 | 434 | 390 | 380 | 403 | 425 | 422 | 431 |
U.S. citizens and permanent residents | 474 | 438 | 430 | 454 | 434 | 465 | 502 | 524 | 567 | 547 |
Hispanic or Latino | 39 | 31 | 30 | 24 | 21 | 25 | 29 | 22 | 23 | 21 |
Not Hispanic or Latino | 409 | 392 | 392 | 423 | 402 | 434 | 466 | 494 | 527 | 505 |
American Indian or Alaska Native | 1 | 0 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
Asian | 61 | 64 | 55 | 57 | 45 | 57 | 47 | 59 | 51 | 44 |
Black or African American | 75 | 67 | 60 | 64 | 59 | 61 | 75 | 63 | 80 | 78 |
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 3 | 2 |
White | 256 | 249 | 266 | 288 | 292 | 303 | 334 | 360 | 384 | 373 |
More than one race | 16 | 12 | 10 | 12 | 5 | 10 | 9 | 8 | 9 | 8 |
Unknown ethnicity and race | 26 | 15 | 8 | 7 | 11 | 6 | 7 | 8 | 17 | 21 |
Temporary visa holders | 595 | 435 | 533 | 472 | 440 | 463 | 425 | 402 | 385 | 346 |
Science and engineering | 1,069 | 873 | 963 | 926 | 874 | 928 | 927 | 926 | 952 | 893 |
Science | 907 | 718 | 791 | 761 | 717 | 767 | 767 | 777 | 799 | 742 |
Agricultural and veterinary sciences | . | . | . | . | . | . | . | . | . | . |
Biological and biomedical sciences | 82 | 68 | 64 | 68 | 61 | 63 | 73 | 103 | 102 | 85 |
Communication | . | . | . | . | . | . | . | . | . | . |
Computer and information sciences | 457 | 321 | 394 | 354 | 320 | 383 | 365 | 307 | 288 | 251 |
Family and consumer sciences and human sciences | . | . | . | . | . | . | . | . | . | . |
Geosciences, atmospheric sciences, and ocean sciences | 13 | 9 | 7 | 5 | 0 | 2 | 2 | 2 | 2 | 3 |
Mathematics and statistics | 38 | 42 | 41 | 43 | 43 | 46 | 44 | 58 | 57 | 52 |
Multidisciplinary and interdisciplinary studies | 11 | 10 | 18 | 19 | 20 | 1 | 5 | 6 | 7 | 10 |
Natural resources and conservation | . | . | . | . | . | . | . | . | . | . |
Neurobiology and neuroscience | . | . | . | . | . | 3 | 1 | 2 | 2 | 3 |
Physical sciences | 104 | 97 | 94 | 89 | 89 | 88 | 83 | 85 | 96 | 96 |
Psychology | 83 | 81 | 79 | 84 | 93 | 76 | 88 | 88 | 97 | 97 |
Social sciences | 119 | 90 | 94 | 99 | 91 | 105 | 106 | 126 | 148 | 145 |
Engineering | 162 | 155 | 172 | 165 | 157 | 161 | 160 | 149 | 153 | 151 |
Aerospace, aeronautical, and astronautical engineering | . | . | . | . | . | . | . | . | . | . |
Biological, biomedical, and biosystems engineering | . | . | . | . | . | . | . | . | . | . |
Chemical, petroleum, and chemical-related engineering | 27 | 27 | 32 | 28 | 30 | 20 | 20 | 17 | 28 | 28 |
Civil, environmental, transportation and related engineering fields | 16 | 11 | 11 | 11 | 8 | 11 | 13 | 13 | 14 | 13 |
Electrical, electronics, communications and computer engineering | 75 | 66 | 77 | 79 | 71 | 71 | 58 | 59 | 63 | 59 |
Industrial, manufacturing, systems engineering and operations research | 4 | 5 | 6 | 6 | 6 | 5 | 6 | 5 | 3 | 3 |
Mechanical engineering | 40 | 46 | 46 | 41 | 42 | 54 | 63 | 55 | 45 | 48 |
Metallurgical, mining, materials and related engineering fields | . | . | . | . | . | . | . | . | . | . |
Other engineering | . | . | . | . | . | . | . | . | . | . |
Health | . | . | . | . | . | 0 | 0 | 0 | 0 | 0 |
Clinical medicine | . | . | . | . | . | . | . | . | . | . |
Other health | . | . | . | . | . | 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).