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  4. Lawrence Technological U.
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Data

Lawrence Technological U.

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   22   28   35   42   41   32   41   11   36   6
    Female   20   31   28   32   35   29   32   5   8   4
  U.S. citizens and permanent residents   41   56   60   70   70   59   69   4   0   0
    Hispanic or Latino   3   2   3   3   3   3   4   0   0   0
    Not Hispanic or Latino   38   54   57   66   67   56   62   4   0   0
      American Indian or Alaska Native   0   0   0   0   0   0   0   0   0   0
      Asian   0   0   1   2   3   2   2   0   0   0
      Black or African American   1   3   4   4   4   2   2   2   0   0
      Native Hawaiian or Other Pacific Islander   0   0   0   0   0   0   0   0   0   0
      White   35   48   49   57   57   52   58   2   0   0
      More than one race   2   3   3   3   3   0   0   0   0   0
    Unknown ethnicity and race   0   0   0   1   0   0   3   0   0   0
  Temporary visa holders   1   3   3   4   6   2   4   12   44   10
  Science and engineering   42   59   63   74   76   61   73   16   44   10
    Science   9   10   11   11   12   4   1   0   1   0
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   0   0
      Biological and biomedical sciences   0   0   0   0   0   0   0   0   0   0
      Communication   0   0   0   0   0   0   0   0   0   0
      Computer and information sciences   9   10   11   11   12   4   1   0   1   0
      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   0   0   0
      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   33   49   52   63   64   57   72   16   43   10
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0   0
      Biological, biomedical, and biosystems engineering   0   1   0   1   1   0   0   3   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   33   45   48   56   59   56   69   1   1   0
      Electrical, electronics, communications and computer engineering   0   1   2   3   2   0   2   10   40   10
      Industrial, manufacturing, systems engineering and operations research   0   2   0   0   1   0   1   0   0   0
      Mechanical engineering   0   0   2   3   1   1   0   2   2   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
    Clinical medicine   0   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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