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  4. U. Arizona
  5. Data
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Data

U. Arizona

Download in Excel Format View Excel.
Part-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   863   822   902   814   649   812   661   538   460   474
    Female   679   716   761   652   418   616   523   413   294   296
  U.S. citizens and permanent residents   1,331   1,362   1,504   1,311   964   1,256   1,063   876   691   633
    Hispanic or Latino   256   284   308   294   166   169   138   122   93   82
    Not Hispanic or Latino   874   941   1,018   906   716   1,004   845   715   559   511
      American Indian or Alaska Native   28   26   32   20   16   10   10   18   11   13
      Asian   92   108   94   83   56   79   73   61   44   38
      Black or African American   51   52   57   52   54   67   57   41   33   26
      Native Hawaiian or Other Pacific Islander   2   0   1   1   3   3   0   0   3   2
      White   651   702   771   704   554   687   588   531   416   384
      More than one race   50   53   63   46   33   158   117   64   52   48
    Unknown ethnicity and race   201   137   178   111   82   83   80   39   39   40
  Temporary visa holders   211   176   159   155   103   172   121   75   63   137
  Science and engineering   1,326   1,299   1,389   1,204   891   1,105   866   718   625   677
    Science   1,073   965   1,009   827   594   715   596   487   430   499
      Agricultural and veterinary sciences   4   4   2   4   0   0   1   9   2   9
      Biological and biomedical sciences   129   142   142   79   37   68   62   62   50   37
      Communication   0   0   0   0   0   0   0   1   1   1
      Computer and information sciences   263   111   136   129   118   161   133   66   76   131
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   2   5   5
      Geosciences, atmospheric, and ocean sciences   13   23   19   14   3   19   13   47   23   47
      Mathematics and statistics   28   25   17   16   19   24   12   11   11   8
      Multidisciplinary and interdisciplinary sciences   28   40   38   38   29   16   1   0   0   0
      Natural resources and conservation   60   46   40   23   9   30   21   0   0   0
      Physical sciences   232   248   235   188   148   145   113   79   75   78
      Psychology   45   43   31   39   19   30   27   39   29   15
      Social sciences   271   283   349   297   212   222   213   171   158   168
    Engineering   253   334   380   377   297   390   270   231   195   178
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   10   9   6   5   10
      Biological, biomedical, and biosystems engineering   20   25   22   20   7   13   5   0   0   0
      Chemical, petroleum, and chemical-related engineering   3   4   2   1   1   5   6   6   8   7
      Civil, environmental, transportation and related engineering fields   5   7   6   5   0   7   12   6   8   16
      Electrical, electronics, communications and computer engineering   117   164   212   220   196   197   151   116   96   68
      Industrial, manufacturing, systems engineering and operations research   61   61   68   69   46   59   52   56   45   31
      Mechanical engineering   15   22   16   15   13   11   11   13   9   11
      Metallurgical, mining, materials and related engineering fields   3   6   8   9   0   5   6   16   11   22
      Other engineering   29   45   46   38   34   83   18   12   13   13
  Health   216   239   274   262   176   323   318   233   129   93
    Clinical medicine   200   221   257   247   168   294   283   206   104   66
    Other health   16   18   17   15   8   29   35   27   25   27

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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