Data

U. Maryland, Baltimore County
All races | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 |
---|---|---|---|---|---|---|---|---|---|---|
All part-time students | 398 | 444 | 466 | 449 | 483 | 646 | 691 | 600 | 621 | 647 |
Male | 234 | 277 | 283 | 285 | 313 | 438 | 453 | 380 | 384 | 429 |
Female | 164 | 167 | 183 | 164 | 170 | 208 | 238 | 220 | 237 | 218 |
U.S. citizens and permanent residents | 352 | 395 | 410 | 399 | 437 | 588 | 614 | 536 | 562 | 588 |
Hispanic or Latino | 18 | 20 | 15 | 17 | 18 | 30 | 23 | 20 | 18 | 14 |
Not Hispanic or Latino | 319 | 350 | 377 | 356 | 396 | 528 | 547 | 479 | 506 | 520 |
American Indian or Alaska Native | 0 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 6 | 4 |
Asian | 60 | 63 | 65 | 56 | 67 | 85 | 75 | 61 | 58 | 54 |
Black or African American | 69 | 70 | 70 | 58 | 73 | 91 | 98 | 89 | 81 | 89 |
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
White | 178 | 203 | 224 | 221 | 244 | 334 | 363 | 320 | 352 | 362 |
More than one race | 12 | 14 | 16 | 19 | 11 | 16 | 9 | 7 | 8 | 9 |
Unknown ethnicity and race | 15 | 25 | 18 | 26 | 23 | 30 | 44 | 37 | 38 | 54 |
Temporary visa holders | 46 | 49 | 56 | 50 | 46 | 58 | 77 | 64 | 59 | 59 |
Science and engineering | 398 | 444 | 466 | 449 | 483 | 646 | 691 | 600 | 621 | 647 |
Science | 328 | 372 | 397 | 371 | 401 | 564 | 602 | 505 | 521 | 560 |
Agricultural and veterinary sciences | . | . | . | . | . | . | . | . | . | . |
Biological and biomedical sciences | 7 | 12 | 10 | 3 | 5 | 23 | 25 | 16 | 2 | 0 |
Communication | . | . | . | . | . | . | . | . | . | . |
Computer and information sciences | 189 | 233 | 248 | 248 | 261 | 392 | 428 | 314 | 323 | 356 |
Family and consumer sciences and human sciences | . | . | . | . | . | . | . | . | . | . |
Geosciences, atmospheric sciences, and ocean sciences | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Mathematics and statistics | 22 | 25 | 23 | 20 | 20 | 24 | 29 | 27 | 22 | 31 |
Multidisciplinary and interdisciplinary studies | 6 | 7 | 5 | 2 | 2 | 9 | 8 | 7 | 6 | 5 |
Natural resources and conservation | . | . | . | . | . | . | . | . | . | . |
Neurobiology and neuroscience | . | . | . | . | . | 0 | 0 | 0 | 1 | 0 |
Physical sciences | 2 | 2 | 3 | 4 | 2 | 1 | 3 | 2 | 4 | 2 |
Psychology | 6 | 16 | 18 | 10 | 9 | 1 | 0 | 0 | 6 | 0 |
Social sciences | 95 | 76 | 90 | 84 | 102 | 114 | 109 | 139 | 157 | 165 |
Engineering | 70 | 72 | 69 | 78 | 82 | 82 | 89 | 95 | 100 | 87 |
Aerospace, aeronautical, and astronautical engineering | . | . | . | . | . | . | . | . | . | . |
Biological, biomedical, and biosystems engineering | . | . | . | . | . | . | . | . | . | . |
Chemical, petroleum, and chemical-related engineering | 9 | 7 | 3 | 4 | 3 | 3 | 7 | 5 | 0 | 3 |
Civil, environmental, transportation and related engineering fields | 3 | 2 | 2 | 2 | 3 | 3 | 4 | 5 | 5 | 2 |
Electrical, electronics, communications and computer engineering | 24 | 29 | 35 | 36 | 31 | 29 | 34 | 23 | 23 | 23 |
Industrial, manufacturing, systems engineering and operations research | 17 | 16 | 13 | 16 | 23 | 27 | 31 | 45 | 47 | 35 |
Mechanical engineering | 17 | 18 | 16 | 20 | 22 | 20 | 13 | 17 | 25 | 24 |
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).