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  4. New York Institute of Technology
  5. Data
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Data

New York Institute of Technology

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   89   76   86   76   84   110   155   250   301   243
    Female   57   53   56   46   40   63   80   106   133   97
  U.S. citizens and permanent residents   92   91   98   93   90   98   78   141   158   154
    Hispanic or Latino   14   13   14   9   10   17   18   16   19   21
    Not Hispanic or Latino   74   75   80   79   77   72   60   108   115   108
      American Indian or Alaska Native   0   0   0   0   0   0   0   1   0   0
      Asian   23   27   26   30   29   27   20   26   23   21
      Black or African American   14   16   14   11   13   12   12   22   28   21
      Native Hawaiian or Other Pacific Islander   0   0   0   1   1   0   0   0   1   0
      White   35   30   38   34   32   33   27   57   57   63
      More than one race   2   2   2   3   2   0   1   2   6   3
    Unknown ethnicity and race   4   3   4   5   3   9   0   17   24   25
  Temporary visa holders   54   38   44   29   34   75   157   215   276   186
  Science and engineering   133   129   142   122   124   173   235   356   434   340
    Science   101   90   84   75   74   115   178   250   301   243
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   18   22   20   20   17   18   20   26   23   25
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   83   68   64   55   57   97   158   170   210   148
      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   0   0   0   0   0   0   0   54   68   70
      Natural resources and conservation   0   0   0   0   0   0   0   0   0   0
      Physical sciences   0   0   0   0   0   0   0   0   0   0
      Psychology   0   0   0   0   0   0   0   0   0   0
      Social sciences   0   0   0   0   0   0   0   0   0   0
    Engineering   32   39   58   47   50   58   57   106   133   97
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   3   7   8   7   12   8   2   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   32   33   22
      Electrical, electronics, communications and computer engineering   18   22   33   26   26   36   48   74   100   75
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0   0
      Mechanical engineering   10   10   16   14   12   14   7   0   0   0
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Other engineering   1   0   1   0   0   0   0   0   0   0
  Health   13   0   0   0   0   0   0   0   0   0
    Clinical medicine   13   0   0   0   0   0   0   0   0   0
    Other health   0   0   0   0   0   0   0   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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