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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.
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   298   373   214   183   213   246   323   575   718   563
    Female   155   165   112   102   112   127   186   299   321   202
  U.S. citizens and permanent residents   137   162   158   123   139   109   93   98   64   63
    Hispanic or Latino   21   28   20   22   13   12   7   14   8   6
    Not Hispanic or Latino   111   132   131   89   113   90   86   74   43   46
      American Indian or Alaska Native   0   1   1   0   0   0   0   0   0   0
      Asian   34   42   50   36   49   27   30   27   16   16
      Black or African American   19   17   22   12   12   12   14   12   12   13
      Native Hawaiian or Other Pacific Islander   0   0   0   0   0   1   1   0   0   0
      White   50   65   50   37   45   45   40   35   15   15
      More than one race   8   7   8   4   7   5   1   0   0   2
    Unknown ethnicity and race   5   2   7   12   13   7   0   10   13   11
  Temporary visa holders   316   376   168   162   186   264   416   776   975   702
  Science and engineering   433   503   301   265   284   336   478   843   1,039   764
    Science   375   439   243   198   200   234   353   606   680   487
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   24   20   19   1   2   2   4   3   5   6
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   351   419   224   197   198   232   349   550   615   442
      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   53   60   39
      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   58   64   58   67   84   102   125   237   359   277
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   3   2   6   7   4   2   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   44   50   37
      Electrical, electronics, communications and computer engineering   28   24   33   34   42   54   97   193   309   240
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0   0
      Mechanical engineering   20   32   19   26   38   46   28   0   0   0
      Metallurgical, mining, materials and related engineering fields   0   0   0   0   0   0   0   0   0   0
      Other engineering   7   6   0   0   0   0   0   0   0   0
  Health   20   35   25   20   41   37   31   31   0   1
    Clinical medicine   20   35   25   20   41   37   31   31   0   1
    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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