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  4. U. San Francisco
  5. Data
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Data

U. San Francisco

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   163   162   184   162   333   312   299   245   213   214
    Female   445   481   496   457   708   594   602   246   217   187
  U.S. citizens and permanent residents   481   487   534   494   809   712   717   237   203   218
    Hispanic or Latino   155   167   181   161   224   199   168   25   25   34
    Not Hispanic or Latino   281   312   348   326   558   480   487   192   154   158
      American Indian or Alaska Native   1   1   0   0   3   2   3   0   0   0
      Asian   67   88   85   85   143   135   147   56   43   38
      Black or African American   27   30   48   30   61   61   55   10   6   11
      Native Hawaiian or Other Pacific Islander   7   4   4   3   7   6   5   2   1   2
      White   149   154   172   176   298   236   229   112   96   95
      More than one race   30   35   39   32   46   40   48   12   8   12
    Unknown ethnicity and race   45   8   5   7   27   33   62   20   24   26
  Temporary visa holders   127   156   146   125   232   194   184   254   227   183
  Science and engineering   581   584   615   574   893   749   716   491   430   401
    Science   581   584   615   574   893   749   716   491   430   401
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   85   80   82
      Biological and biomedical sciences   31   29   28   32   55   36   37   50   43   40
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   81   109   110   107   172   149   136   117   87   93
      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   0   0   0   0   0   0   0   0   0   0
      Multidisciplinary and interdisciplinary sciences   18   20   36   32   53   32   44   0   0   0
      Natural resources and conservation   11   10   3   16   67   76   81   0   0   0
      Physical sciences   0   0   0   0   11   8   9   9   11   9
      Psychology   381   356   359   320   364   294   254   0   0   0
      Social sciences   59   60   79   67   171   154   155   230   209   177
    Engineering   0   0   0   0   0   0   0   0   0   0
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   0   0   0   0   0   0   0   0   0   0
      Chemical, petroleum, and chemical-related engineering   0   0   0   0   0   0   0   0   0   0
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Electrical, electronics, communications and computer engineering   0   0   0   0   0   0   0   0   0   0
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0   0
      Mechanical engineering   0   0   0   0   0   0   0   0   0   0
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Other engineering   0   0   0   0   0   0   0   0   0   0
  Health   27   59   65   45   148   157   185   0   0   0
    Clinical medicine   25   52   64   43   125   125   148   0   0   0
    Other health   2   7   1   2   23   32   37   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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