Data

Carnegie Mellon 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   3,809   4,061   3,728   3,001   3,407   3,335   3,329   3,181   2,984   2,906
    Female   2,241   2,349   2,035   1,597   1,853   1,789   1,840   1,608   1,390   1,342
  U.S. citizens and permanent residents   1,770   1,790   1,866   1,571   1,496   1,514   1,463   1,347   1,254   1,309
    Hispanic or Latino   131   124   122   102   92   90   75   44   38   30
    Not Hispanic or Latino   1,391   1,412   1,469   1,230   1,191   1,203   1,172   1,196   1,066   1,066
      American Indian or Alaska Native   3   2   3   1   1   1   1   0   1   3
      Asian   558   491   488   351   340   348   305   280   229   197
      Black or African American   91   102   116   98   93   93   69   55   35   41
      Native Hawaiian or Other Pacific Islander   2   2   2   2   2   1   0   0   1   1
      White   653   740   785   723   707   720   747   846   783   783
      More than one race   84   75   75   55   48   40   50   15   17   41
    Unknown ethnicity and race   248   254   275   239   213   221   216   107   150   213
  Temporary visa holders   4,280   4,620   3,897   3,027   3,764   3,610   3,706   3,442   3,120   2,939
  Science and engineering   6,050   6,410   5,763   4,598   5,260   5,124   5,169   4,789   4,374   4,248
    Science   3,385   3,599   3,189   2,443   2,819   2,822   2,875   2,558   2,274   2,265
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   290   270   211   190   192   185   195   180   167   167
        Neurobiology and neuroscience   0   0   0   0   0   0   0   19   16   11
      Communication   0   0   0   0   0   0   0   9   11   0
      Computer and information sciences   2,112   2,369   2,082   1,485   1,854   1,806   1,791   1,666   1,495   1,491
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0   0
      Geosciences, atmospheric, and ocean sciences   0   0   0   0   0   0   0   0   0   0
      Mathematics and statistics   257   183   178   175   140   144   144   122   112   115
      Multidisciplinary and interdisciplinary sciences   273   273   192   154   170   157   164   136   130   79
      Natural resources and conservation   0   0   0   0   0   0   0   0   0   0
      Physical sciences   294   312   307   270   311   277   293   158   163   168
      Psychology   8   8   16   17   17   27   25   28   24   21
      Social sciences   151   184   203   152   135   226   263   240   156   213
    Engineering   2,665   2,811   2,574   2,155   2,441   2,302   2,294   2,231   2,100   1,983
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   205   215   180   137   131   121   98   107   110   106
      Chemical, petroleum, and chemical-related engineering   148   141   146   145   202   189   190   177   167   188
      Civil, environmental, transportation and related engineering fields   142   186   190   172   213   221   244   227   215   211
      Electrical, electronics, communications and computer engineering   1,113   1,116   1,039   839   936   837   891   748   716   667
      Industrial, manufacturing, systems engineering and operations research   21   25   23   22   25   26   27   19   24   23
      Mechanical engineering   780   829   785   669   684   649   602   583   566   506
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   127   132   112
      Other engineering   256   299   211   171   250   259   242   243   170   170
      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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