Hood C.

Rankings

Data year Earned doctorates Full-time graduate students Total R&D expenditures
Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked
2024
2023 459 33.1 679
2022 475 30.9 680
2021 518 25.8 691
2020 511 27.6 698
2019 492 30.2 697
2018 487 31.2 700
2017 458 33.8 684
2016 457 35.1 697
2015 461 34.2 693
2014 459 34 688
NOTES:
  • 1. See TableBuilder for the prior year data.
  • 2. Blank white cells indicate data not available, not applicable, or institution not eligible for survey.
  • 3. Data from the Survey of Science and Engineering Research Facilities is collected every two years.

Data

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 62 56 34 40 44 45 56 64 59 48 0
    Female 43 38 31 26 30 31 40 42 43 46 0
  U.S. citizens and permanent residents 31 25 28 29 33 25 55 25 22 29 0
    Hispanic or Latino 0 4 0 2 1 4 5 0 1 2 0
    Not Hispanic or Latino 30 21 28 27 31 21 46 24 21 25 0
      American Indian or Alaska Native 0 0 0 0 0 0 0 0 0 0 0
      Asian 3 4 8 5 0 2 13 5 1 4 0
      Black or African American 8 6 8 5 8 7 13 4 2 1 0
      Native Hawaiian or Other Pacific Islander 0 0 0 0 1 0 0 0 0 0 0
      White 17 11 11 16 19 11 19 13 17 18 0
      More than one race 2 0 1 1 3 1 1 2 1 2 0
    Unknown ethnicity and race 1 0 0 0 1 0 4 1 0 2 0
  Temporary visa holders 74 69 37 37 41 51 41 81 80 65 0
  Science and engineering 105 94 65 66 74 76 96 106 102 94 0
    Science 105 94 65 66 74 76 96 106 102 94 0
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 29 22 19 16 31 28 22 13 4 15 0
      Communication 0 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 76 72 46 50 43 48 72 82 85 66 0
      Family and consumer sciences and human sciences 0 0 0 0 0 0 0 6 10 7 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 0 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0 0 0 0 0
      Psychology 0 0 0 0 0 0 2 5 3 6 0
      Social sciences 0 0 0 0 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Other engineering 0 0 0 0 0 0 0 0 0 0 0
  Health 0 0 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 0 0 0 0 0 0 0 0 0 0
    Other health 0 0 0 0 0 0 0 0 0 0 0

NOTE:
  • . = 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

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 59 61 75 83 99 76 84 84 103 119 0
    Female 63 69 76 82 87 77 89 97 113 160 0
  U.S. citizens and permanent residents 102 116 127 154 172 134 165 164 197 261 0
    Hispanic or Latino 9 7 0 10 11 9 7 4 7 5 0
    Not Hispanic or Latino 88 106 121 141 156 120 149 156 184 245 0
      American Indian or Alaska Native 0 0 0 0 0 0 0 0 0 0 0
      Asian 9 8 9 9 10 7 10 8 10 10 0
      Black or African American 15 13 16 23 21 13 22 15 17 19 0
      Native Hawaiian or Other Pacific Islander 0 0 0 1 0 1 0 0 0 0 0
      White 59 78 91 103 122 95 113 128 154 213 0
      More than one race 5 7 5 5 3 4 4 5 3 3 0
    Unknown ethnicity and race 5 3 6 3 5 5 9 4 6 11 0
  Temporary visa holders 20 14 24 11 14 19 8 17 19 18 0
  Science and engineering 122 130 151 165 186 153 173 181 216 279 0
    Science 122 130 151 165 186 153 173 181 216 279 0
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 74 86 102 99 116 92 118 112 125 130 0
      Communication 0 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 48 44 49 57 69 60 53 48 60 106 0
      Family and consumer sciences and human sciences 0 0 0 0 0 0 0 17 18 22 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 0 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0 0 0 0 0
      Psychology 0 0 0 9 1 1 2 4 13 21 0
      Social sciences 0 0 0 0 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Other engineering 0 0 0 0 0 0 0 0 0 0 0
  Health 0 0 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 0 0 0 0 0 0 0 0 0 0
    Other health 0 0 0 0 0 0 0 0 0 0 0

NOTE:
  • . = 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

Full-time graduate students in science, engineering, and health receiving primary support from federal sources, by field: 2023–14
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 0 3 5 0 0 3 3 3 3 0 0
  Science and engineering 0 3 5 0 0 3 3 3 3 0 0
    Science 0 3 5 0 0 3 3 3 3 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 1 2 0 0 2 1 0 0 0 0
      Communication 0 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 2 3 0 0 1 2 2 2 0 0
      Family and consumer sciences and human sciences 0 0 0 0 0 0 0 1 1 0 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 0 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0 0 0 0 0
      Psychology 0 0 0 0 0 0 0 0 0 0 0
      Social sciences 0 0 0 0 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Other engineering 0 0 0 0 0 0 0 0 0 0 0
  Health 0 0 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 0 0 0 0 0 0 0 0 0 0
    Other health 0 0 0 0 0 0 0 0 0 0 0

NOTE:
  • . = 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

Full-time graduate students in science, engineering, and health, by type and primary source of support: 2023–14
Type and primary source of support 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All types and sources of support 105 94 65 66 74 76 96 106 102 94
  Fellowships 0 0 0 0 0 2 1 0 0 0
    Federal 0 0 0 0 0 2 1 0 0 0
    Institutional 0 0 0 0 0 0 0 0 0 0
    Nonfederal 0 0 0 0 0 0 0 0 0 0
  Research assistantships 0 0 0 0 0 0 0 0 0 1
    Federal 0 0 0 0 0 0 0 0 0 0
    Institutional 0 0 0 0 0 0 0 0 0 1
    Nonfederal 0 0 0 0 0 0 0 0 0 0
  Teaching assistantships 3 2 2 0 0 0 0 0 0 0
    Federal 0 0 0 0 0 0 0 0 0 0
    Institutional 3 2 2 0 0 0 0 0 0 0
    Nonfederal 0 0 0 0 0 0 0 0 0 0
  Other types of support 102 92 63 66 74 74 95 106 102 93
    Federal 0 3 5 0 0 1 2 3 3 0
    Institutional 1 9 6 0 0 1 1 7 3 0
    Nonfederal 4 1 0 0 0 4 4 17 17 55
    Personal resources 97 79 52 66 74 68 88 79 79 38

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Postdoctorates in science, engineering, and health, by selected characteristics: 2023–14
All races 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
  Science and engineering 0 0 0 0 0 0 0 0 0 1 0
    Science 0 0 0 0 0 0 0 0 0 1 0
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 0 0 0 0 1 0
      Communication 0 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 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 0
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 0 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0 0 0 0 0
      Psychology 0 0 0 0 0 0 0 0 0 0 0
      Social sciences 0 0 0 0 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Other engineering 0 0 0 0 0 0 0 0 0 0 0
  Health 0 0 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 0 0 0 0 0 0 0 0 0 0
    Other health 0 0 0 0 0 0 0 0 0 0 0

NOTE:
  • . = 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

Federally supported science, engineering, and health postdoctorates, by field: 2023–14
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 0 0 0 0 0 0 0 0 0 0 0
  Science and engineering 0 0 0 0 0 0 0 0 0 0 0
    Science 0 0 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 0 0 0 0 0 0
      Communication 0 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 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 0
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 0 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0 0 0 0 0
      Psychology 0 0 0 0 0 0 0 0 0 0 0
      Social sciences 0 0 0 0 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 0 0 0 0 0 0
      Other engineering 0 0 0 0 0 0 0 0 0 0 0
  Health 0 0 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 0 0 0 0 0 0 0 0 0 0
    Other health 0 0 0 0 0 0 0 0 0 0 0

NOTE:
  • . = 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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