Data

Brown U.

Full-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
    Male   1,257   1,186   1,110   1,045   1,012   1,028   958   911   909   829
    Female   1,343   1,214   1,030   928   867   838   809   769   731   693
  U.S. citizens and permanent residents   1,516   1,359   1,206   1,172   1,019   1,030   978   930   911   873
    Hispanic or Latino   201   166   140   128   115   116   93   88   75   71
    Not Hispanic or Latino   1,232   1,121   1,000   970   829   829   782   721   713   693
      American Indian or Alaska Native   6   5   3   2   0   2   3   2   1   1
      Asian   237   216   173   159   127   120   104   90   89   77
      Black or African American   197   162   127   118   80   66   62   60   62   48
      Native Hawaiian or Other Pacific Islander   1   1   2   1   0   0   0   0   1   1
      White   708   668   626   630   574   593   584   556   547   553
      More than one race   83   69   69   60   48   48   29   13   13   13
    Unknown ethnicity and race   83   72   66   74   75   85   103   121   123   109
  Temporary visa holders   1,084   1,041   934   801   860   836   789   750   729   649
  Science and engineering   2,521   2,034   1,891   1,773   1,751   1,743   1,646   1,572   1,553   1,433
    Science   2,156   1,695   1,596   1,522   1,494   1,467   1,382   1,322   1,333   1,236
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   443   407   378   382   374   359   352   266   281   252
        Neurobiology and neuroscience   0   0   0   0   0   0   0   64   65   59
      Communication   0   0   0   0   0   0   0   16   18   17
      Computer and information sciences   343   338   255   225   228   220   164   151   147   116
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0   0
      Geosciences, atmospheric, and ocean sciences   70   58   53   56   59   56   54   54   51   51
      Mathematics and statistics   91   79   78   75   95   94   99   105   108   109
      Multidisciplinary and interdisciplinary sciences   198   161   146   123   94   69   55   27   20   17
      Natural resources and conservation   0   0   0   0   0   0   0   0   0   0
      Physical sciences   258   234   228   212   206   223   213   187   179   179
      Psychology   12   19   17   12   15   14   12   44   41   40
      Social sciences   741   399   441   437   423   432   433   408   423   396
    Engineering   365   339   295   251   257   276   264   250   220   197
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   109   95   96   93   87   86   75   67   0   0
      Chemical, petroleum, and chemical-related engineering   0   0   0   0   0   0   0   0   0   0
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Electrical, electronics, communications and computer engineering   0   0   0   0   0   0   0   0   0   0
      Industrial, manufacturing, systems engineering and operations research   22   20   19   0   0   0   0   0   0   0
      Mechanical engineering   0   0   0   0   0   0   0   0   0   0
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Other engineering   234   224   180   158   170   190   189   183   220   197
    Health   79   366   249   200   128   123   121   108   87   89
      Clinical medicine   79   338   224   175   105   100   104   108   87   89
      Other health   0   28   25   25   23   23   17   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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