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  4. U. Arizona
  5. Data
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Data

U. Arizona

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   1,282   1,356   1,347   1,342   1,610   1,655   1,496   1,741   1,749   1,788
    Female   1,263   1,289   1,326   1,324   1,491   1,358   1,203   1,403   1,445   1,436
  U.S. citizens and permanent residents   1,599   1,700   1,840   1,900   2,144   2,025   1,816   2,102   2,191   2,218
    Hispanic or Latino   345   354   389   341   323   182   181   250   248   238
    Not Hispanic or Latino   1,168   1,258   1,359   1,440   1,671   1,769   1,566   1,781   1,846   1,886
      American Indian or Alaska Native   47   46   42   51   71   14   14   38   49   36
      Asian   106   110   122   118   137   110   99   125   131   124
      Black or African American   51   55   51   59   62   52   53   71   66   64
      Native Hawaiian or Other Pacific Islander   2   1   1   0   0   0   3   4   4   5
      White   876   968   1,057   1,119   1,320   1,303   1,158   1,371   1,428   1,483
      More than one race   86   78   86   93   81   290   239   172   168   174
    Unknown ethnicity and race   86   88   92   119   150   74   69   71   97   94
  Temporary visa holders   946   945   833   766   957   988   883   1,042   1,003   1,006
  Science and engineering   2,218   2,319   2,321   2,271   2,605   2,627   2,341   2,729   2,769   2,860
    Science   1,818   1,903   1,899   1,864   2,106   2,142   1,848   2,189   2,260   2,298
      Agricultural and veterinary sciences   26   26   31   23   27   22   21   47   61   51
      Biological and biomedical sciences   401   402   422   402   408   384   352   292   314   336
      Communication   0   0   0   0   0   0   0   21   21   25
      Computer and information sciences   217   247   181   156   185   151   133   253   218   208
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   15   23   26
      Geosciences, atmospheric, and ocean sciences   55   43   54   51   70   121   62   213   208   202
      Mathematics and statistics   77   75   85   78   77   155   92   117   105   116
      Multidisciplinary and interdisciplinary sciences   28   23   20   25   28   20   7   0   0   0
      Natural resources and conservation   76   102   102   108   115   103   74   0   0   0
      Physical sciences   447   452   467   469   510   513   490   502   519   545
      Psychology   112   101   112   104   131   114   113   156   162   150
      Social sciences   379   432   425   448   555   559   504   548   607   615
    Engineering   400   416   422   407   499   485   493   540   509   562
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   33   31   29   27   19
      Biological, biomedical, and biosystems engineering   77   80   81   82   84   55   29   25   31   38
      Chemical, petroleum, and chemical-related engineering   29   28   35   33   36   36   38   71   68   78
      Civil, environmental, transportation and related engineering fields   46   44   44   44   54   46   45   37   35   31
      Electrical, electronics, communications and computer engineering   119   134   131   120   159   155   178   176   165   199
      Industrial, manufacturing, systems engineering and operations research   46   66   73   51   62   60   56   59   52   65
      Mechanical engineering   42   30   31   43   53   43   48   36   35   36
      Metallurgical, mining, materials and related engineering fields   21   16   12   14   25   17   15   53   51   51
      Other engineering   20   18   15   20   26   40   53   54   45   45
  Health   327   326   352   395   496   386   358   415   425   364
    Clinical medicine   194   213   228   217   347   250   227   249   237   191
    Other health   133   113   124   178   149   136   131   166   188   173

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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