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Data

U. Pennsylvania

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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   30   28   24   24   13   42   21   47   84 i   149 i
    Female   22   22   16   19   9   20   10   84   130 i   180 i
  U.S. citizens and permanent residents   21   40   25   31   16   42   20   127   211 i   309 i
    Hispanic or Latino   3   4   2   3   1   0   0   4   7 i   9 i
    Not Hispanic or Latino   18   33   23   28   15   40   17   123   190 i   273 i
      American Indian or Alaska Native   0   0   0   0   0   0   4   1   0 i   0 i
      Asian   4   11   10   12   3   14   4   16   22 i   50 i
      Black or African American   2   0   1   2   1   0   0   15   20 i   15 i
      Native Hawaiian or Other Pacific Islander   0   0   0   0   0   0   0   0   0 i   0 i
      White   10   22   12   13   10   24   9   88   135 i   191 i
      More than one race   2   0   0   1   1   2   0   3   13 i   17 i
    Unknown ethnicity and race   0   3   0   0   0   2   3   0   14 i   27 i
  Temporary visa holders   31   10   15   12   6   20   11   4   3 i   20 i
  Science and engineering   52   49   40   43   22   62   31   65   146 i   264 i
    Science   30   25   18   19   8   33   25   50   112 i   216 i
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0 i   86 i
      Biological and biomedical sciences   8   3   3   2   1   1   0   35   96 i   110 i
      Communication   0   0   0   0   0   0   0   0   0 i   0 i
      Computer and information sciences   5   3   6   6   2   14   2   3   1 i   0 i
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0 i   0 i
      Geosciences, atmospheric, and ocean sciences   0   0   0   0   0   0   0   0   0 i   0 i
      Mathematics and statistics   9   7   0   1   0   0   7   1   2 i   0 i
      Multidisciplinary and interdisciplinary sciences   0   0   0   0   0   0   0   2   5 i   2 i
      Natural resources and conservation   0   0   0   0   0   0   0   0   0 i   0 i
      Physical sciences   0   3   2   2   0   1   1   0   0 i   0 i
      Psychology   0   2   0   0   0   0   0   0   0 i   0 i
      Social sciences   8   7   7   8   5   17   15   9   8 i   18 i
    Engineering   22   24   22   24   14   29   6   15   34 i   48 i
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0 i   0 i
      Biological, biomedical, and biosystems engineering   8   10   14   16   8   17   4   9   20 i   18 i
      Chemical, petroleum, and chemical-related engineering   8   6   0   1   0   1   0   0   1 i   0 i
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   0   0   0   0 i   0 i
      Electrical, electronics, communications and computer engineering   6   6   3   3   1   4   0   2   0 i   2 i
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0 i   3 i
      Mechanical engineering   0   2   3   1   5   6   1   4   10 i   23 i
      Metallurgical, mining, materials and related engineering fields   0   0   2   3   0   1   1   0   3 i   2 i
      Other engineering   0   0   0   0   0   0   0   0   0 i   0 i
  Health   0   1   0   0   0   0   0   66   68 i   65 i
    Clinical medicine   0   0   0   0   0   0   0   66   68 i   65 i
    Other health   0   1   0   0   0   0   0   0   0 i   0 i

i=imputed

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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