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  4. U. Pittsburgh
  5. Data
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Data

U. Pittsburgh

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   1,626   1,633   1,617   1,619   1,643   1,780   1,767   1,733   1,784   1,782
    Female   1,743   1,811   1,749   1,600   1,520   1,682   1,528   1,530   1,551   1,593
  U.S. citizens and permanent residents   1,835   1,930   1,989   1,920   1,670   1,826   1,694   1,740   1,726   1,837
    Hispanic or Latino   176   166   175   141   118   114   103   82   79   81
    Not Hispanic or Latino   1,594   1,668   1,673   1,638   1,470   1,576   1,455   1,583   1,595   1,698
      American Indian or Alaska Native   4   4   6   6   4   1   2   2   3   5
      Asian   212   207   189   170   139   143   126   141   139   142
      Black or African American   109   99   92   102   87   84   76   79   91   90
      Native Hawaiian or Other Pacific Islander   1   1   3   2   2   2   3   1   1   2
      White   1,190   1,272   1,294   1,280   1,171   1,282   1,188   1,321   1,328   1,432
      More than one race   78   85   89   78   67   64   60   39   33   27
    Unknown ethnicity and race   65   96   141   141   82   136   136   75   52   58
  Temporary visa holders   1,534   1,514   1,377   1,299   1,493   1,636   1,601   1,523   1,609   1,538
  Science and engineering   2,964   2,979   2,883   2,792   2,727   2,961   2,841   2,850   2,929   2,913
    Science   2,290   2,290   2,191   2,109   2,012   2,260   2,098   2,127   2,217   2,205
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   912   907   882   819   721   750   680   540   529   552
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   452   460   383   350   461   514   434   386   442   364
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0   0
      Geosciences, atmospheric, and ocean sciences   31   30   31   29   25   27   24   27   28   30
      Mathematics and statistics   111   105   108   114   115   111   116   110   118   108
      Multidisciplinary and interdisciplinary sciences   14   11   2   2   3   5   5   0   0   0
      Natural resources and conservation   0   0   0   0   0   0   0   0   0   0
      Physical sciences   309   312   290   303   298   307   295   306   279   290
      Psychology   140   140   132   121   141   145   133   157   149   162
      Social sciences   321   325   363   371   248   401   411   530   593   623
    Engineering   674   689   692   683   715   701   743   723   712   708
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   208   208   196   171   158   140   160   173   177   167
      Chemical, petroleum, and chemical-related engineering   58   60   70   79   74   81   99   106   102   84
      Civil, environmental, transportation and related engineering fields   60   71   73   60   83   96   91   103   87   103
      Electrical, electronics, communications and computer engineering   135   142   134   149   165   158   173   142   121   115
      Industrial, manufacturing, systems engineering and operations research   48   49   53   55   71   67   72   67   62   86
      Mechanical engineering   103   104   101   111   106   114   103   90   113   104
      Metallurgical, mining, materials and related engineering fields   40   39   43   42   44   37   33   34   43   39
      Other engineering   22   16   22   16   14   8   12   8   7   10
  Health   405   465   483   427   436   501   454   413   406   462
    Clinical medicine   119   119   128   128   108   136   93   37   39   32
    Other health   286   346   355   299   328   365   361   376   367   430

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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