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  4. Yale U.
  5. Data
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Data

Yale U.

Download in Excel Format View Excel.
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   1,224   1,198   1,197   1,108   1,203   1,090   1,113   1,152   1,112   1,107
    Female   1,268   1,202   1,087   984   1,013   913   922   971   956   944
  U.S. citizens and permanent residents   1,305   1,273   1,404   1,171   1,271   1,169   1,196   1,293   1,279   1,276
    Hispanic or Latino   197   171   136   120   133   1   38   112   97   92
    Not Hispanic or Latino   1,096   1,097   1,258   1,039   1,125   1,168   1,103   1,171   1,164   1,159
      American Indian or Alaska Native   3   2   12   13   13   18   0   3   1   1
      Asian   235   221   375   199   228   217   160   167   145   147
      Black or African American   89   87   83   57   70   87   56   58   53   50
      Native Hawaiian or Other Pacific Islander   1   2   6   4   5   6   4   0   3   1
      White   686   711   727   766   809   840   754   876   882   895
      More than one race   82   74   55   0   0   0   129   67   80   65
    Unknown ethnicity and race   12   5   10   12   13   0   55   10   18   25
  Temporary visa holders   1,187   1,127   880   921   945   834   839   830   789   775
  Science and engineering   2,230   2,155   2,080   1,921   2,069   1,900   1,935   2,111   2,055   2,036
    Science   1,864   1,813   1,752   1,800   1,778   1,642   1,668   1,879   1,839   1,835
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   69   63   67
      Biological and biomedical sciences   706   695   627   655   698   578   562   547   546   568
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   50   48   54   80   27   39   34   60   58   41
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0   0
      Geosciences, atmospheric, and ocean sciences   55   48   52   49   53   52   52   50   51   55
      Mathematics and statistics   118   108   102   72   69   63   73   72   68   74
      Multidisciplinary and interdisciplinary sciences   0   0   0   0   0   0   0   0   0   0
      Natural resources and conservation   90   80   70   67   66   62   69   0   0   0
      Physical sciences   360   353   329   331   333   332   328   358   347   337
      Psychology   0   0   0   0   0   0   0   81   81   73
      Social sciences   485   481   518   546   532   516   550   571   557   552
    Engineering   366   342   328   121   291   258   267   232   216   201
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   56   0   0   0   0   0   0   69   67   60
      Chemical, petroleum, and chemical-related engineering   52   0   0   0   0   0   0   72   64   61
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Electrical, electronics, communications and computer engineering   36   0   0   0   0   0   0   50   47   43
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0   0
      Mechanical engineering   23   0   0   0   0   0   0   41   38   37
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Other engineering   199   342   328   121   291   258   267   0   0   0
  Health   262   245   204   171   147   103   100   12   13   15
    Clinical medicine   249   235   191   160   134   90   88   0   0   0
    Other health   13   10   13   11   13   13   12   12   13   15

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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