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  4. U. Maryland, Baltimore County
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Data

U. Maryland, Baltimore County

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Part-time graduate students in science, engineering, and health, by selected characteristics: 2024–15
All races 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
  U.S. citizens and permanent residents   340   351   332   352   395   410   399   437   588   614
    Hispanic or Latino   20   20   23   18   20   15   17   18   30   23
    Not Hispanic or Latino   309   316   295   319   350   377   356   396   528   547
      American Indian or Alaska Native   0   0   0   0   0   2   2   1   2   2
      Asian   70   67   56   60   63   65   56   67   85   75
      Black or African American   72   69   58   69   70   70   58   73   91   98
      Native Hawaiian or Other Pacific Islander   0   0   0   0   0   0   0   0   0   0
      White   156   167   169   178   203   224   221   244   334   363
      More than one race   11   13   12   12   14   16   19   11   16   9
    Unknown ethnicity and race   11   15   14   15   25   18   26   23   30   44
  Temporary visa holders   81   65   61   46   49   56   50   46   58   77
  Science and engineering   421   416   393   398   444   466   449   483   646   691
    Science   352   353   330   328   372   397   371   401   564   602
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   6   8   9   7   12   10   3   5   23   25
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   220   218   183   189   233   248   248   261   392   428
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0   0
      Geosciences, atmospheric, and ocean sciences   2   1   1   1   1   0   0   0   0   0
      Mathematics and statistics   14   19   22   22   25   23   20   20   24   29
      Multidisciplinary and interdisciplinary sciences   12   18   7   6   7   5   2   2   9   8
      Natural resources and conservation   0   0   0   0   0   0   0   0   0   0
      Physical sciences   3   2   3   2   2   3   4   2   1   3
      Psychology   0   0   7   6   16   18   10   9   1   0
      Social sciences   95   87   98   95   76   90   84   102   114   109
    Engineering   69   63   63   70   72   69   78   82   82   89
      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   5   7   6   9   7   3   4   3   3   7
      Civil, environmental, transportation and related engineering fields   0   0   3   3   2   2   2   3   3   4
      Electrical, electronics, communications and computer engineering   25   22   22   24   29   35   36   31   29   34
      Industrial, manufacturing, systems engineering and operations research   25   17   14   17   16   13   16   23   27   31
      Mechanical engineering   14   17   18   17   18   16   20   22   20   13
      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).

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

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