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  4. Albert Einstein C. Medicine
  5. Data
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Data

Albert Einstein C. Medicine

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   167   150   145   147   119   .   .   .   .   .
    Female   201   198   200   186   134   .   .   .   .   .
  U.S. citizens and permanent residents   331   316   312   295   246   .   .   .   .   .
    Hispanic or Latino   37   43   45   43   38   .   .   .   .   .
    Not Hispanic or Latino   276   255   255   239   193   .   .   .   .   .
      American Indian or Alaska Native   2   0   0   1   1   .   .   .   .   .
      Asian   56   55   57   51   38   .   .   .   .   .
      Black or African American   31   27   27   28   20   .   .   .   .   .
      Native Hawaiian or Other Pacific Islander   0   0   0   0   0   .   .   .   .   .
      White   168   153   153   145   121   .   .   .   .   .
      More than one race   19   20   18   14   13   .   .   .   .   .
    Unknown ethnicity and race   18   18   12   13   15   .   .   .   .   .
  Temporary visa holders   37   32   33   38   7   .   .   .   .   .
  Science and engineering   320   298   294   283   224   .   .   .   .   .
    Science   320   298   294   283   224   .   .   .   .   .
      Agricultural and veterinary sciences   0   0   0   0   0   .   .   .   .   .
      Biological and biomedical sciences   320   298   294   283   224   .   .   .   .   .
      Communication   0   0   0   0   0   .   .   .   .   .
      Computer and information sciences   0   0   0   0   0   .   .   .   .   .
      Family and consumer sciences and human sciences   0   0   0   0   0   .   .   .   .   .
      Geosciences, atmospheric, and ocean sciences   0   0   0   0   0   .   .   .   .   .
      Mathematics and statistics   0   0   0   0   0   .   .   .   .   .
      Multidisciplinary and interdisciplinary sciences   0   0   0   0   0   .   .   .   .   .
      Natural resources and conservation   0   0   0   0   0   .   .   .   .   .
      Physical sciences   0   0   0   0   0   .   .   .   .   .
      Psychology   0   0   0   0   0   .   .   .   .   .
      Social sciences   0   0   0   0   0   .   .   .   .   .
    Engineering   0   0   0   0   0   .   .   .   .   .
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   .   .   .   .   .
      Biological, biomedical, and biosystems engineering   0   0   0   0   0   .   .   .   .   .
      Chemical, petroleum, and chemical-related engineering   0   0   0   0   0   .   .   .   .   .
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   .   .   .   .   .
      Electrical, electronics, communications and computer engineering   0   0   0   0   0   .   .   .   .   .
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   .   .   .   .   .
      Mechanical engineering   0   0   0   0   0   .   .   .   .   .
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   .   .   .   .   .
      Other engineering   0   0   0   0   0   .   .   .   .   .
  Health   48   50   51   50   29   .   .   .   .   .
    Clinical medicine   35   36   38   37   29   .   .   .   .   .
    Other health   13   14   13   13   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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