Campbell U.

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
2023 485 29.3 679
2022 448 34.8 680
2021 426 39 691
2020 416 41 698
2019 423 40 697
2018 420 40.7 700
2017 418 39.6 684
2016 416 41 697
2015 419 40.2 693
2014 437 37.2 688
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 24 25 25 37 38 i 38 30 35 35 37
    Female 61 86 100 90 79 i 82 90 105 103 75
  U.S. citizens and permanent residents 75 95 108 117 88 i 90 90 97 99 83
    Hispanic or Latino 1 3 4 7 4 i 4 4 1 0 0
    Not Hispanic or Latino 70 89 103 109 83 i 85 85 94 96 80
      American Indian or Alaska Native 1 0 0 2 2 i 2 2 2 0 1
      Asian 6 10 9 5 10 i 10 11 11 6 1
      Black or African American 16 23 29 24 13 i 13 14 16 21 16
      Native Hawaiian or Other Pacific Islander 0 0 0 2 2 i 2 1 1 1 0
      White 47 56 63 69 56 i 58 57 64 68 62
      More than one race 0 0 2 7 0 i 0 0 0 0 0
    Unknown ethnicity and race 4 3 1 1 1 i 1 1 2 3 3
  Temporary visa holders 10 16 17 10 29 i 30 30 43 39 29
  Science and engineering 0 0 0 0 0 i 0 0 0 0 0
    Science 0 0 0 0 0 i 0 0 0 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 i 0 0 0 0 0
      Communication 0 0 0 0 0 i 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 i 0 0 0 0 0
      Family and consumer sciences and human sciences 0 0 0 0 0 i 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 i 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 i 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 i 0 0 0 0 0
      Physical sciences 0 0 0 0 0 i 0 0 0 0 0
      Psychology 0 0 0 0 0 i 0 0 0 0 0
      Social sciences 0 0 0 0 0 i 0 0 0 0 0
    Engineering 0 0 0 0 0 i 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 i 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 i 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 i 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 i 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 i 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 i 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Other engineering 0 0 0 0 0 i 0 0 0 0 0
    Health 85 111 125 127 117 i 120 120 140 138 112
      Clinical medicine 29 38 39 42 41 i 42 42 41 45 34
      Other health 56 73 86 85 76 i 78 78 99 93 78

i=imputed

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 0 0 0 2 0 i 0 0 0 0 0
    Female 0 0 0 0 0 i 0 0 0 0 0
  U.S. citizens and permanent residents 0 0 0 1 0 i 0 0 0 0 0
    Hispanic or Latino 0 0 0 0 0 i 0 0 0 0 0
    Not Hispanic or Latino 0 0 0 1 0 i 0 0 0 0 0
      American Indian or Alaska Native 0 0 0 0 0 i 0 0 0 0 0
      Asian 0 0 0 0 0 i 0 0 0 0 0
      Black or African American 0 0 0 0 0 i 0 0 0 0 0
      Native Hawaiian or Other Pacific Islander 0 0 0 0 0 i 0 0 0 0 0
      White 0 0 0 1 0 i 0 0 0 0 0
      More than one race 0 0 0 0 0 i 0 0 0 0 0
    Unknown ethnicity and race 0 0 0 0 0 i 0 0 0 0 0
  Temporary visa holders 0 0 0 1 0 i 0 0 0 0 0
  Science and engineering 0 0 0 0 0 i 0 0 0 0 0
    Science 0 0 0 0 0 i 0 0 0 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 i 0 0 0 0 0
      Communication 0 0 0 0 0 i 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 i 0 0 0 0 0
      Family and consumer sciences and human sciences 0 0 0 0 0 i 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 i 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 i 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 i 0 0 0 0 0
      Physical sciences 0 0 0 0 0 i 0 0 0 0 0
      Psychology 0 0 0 0 0 i 0 0 0 0 0
      Social sciences 0 0 0 0 0 i 0 0 0 0 0
    Engineering 0 0 0 0 0 i 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 i 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 i 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 i 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 i 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 i 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 i 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Other engineering 0 0 0 0 0 i 0 0 0 0 0
    Health 0 0 0 2 0 i 0 0 0 0 0
      Clinical medicine 0 0 0 2 0 i 0 0 0 0 0
      Other health 0 0 0 0 0 i 0 0 0 0 0

i=imputed

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 2 2 2 0 i 0 0 4 1 1
  Science and engineering 0 0 0 0 0 i 0 0 0 0 0
    Science 0 0 0 0 0 i 0 0 0 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 i 0 0 0 0 0
      Communication 0 0 0 0 0 i 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 i 0 0 0 0 0
      Family and consumer sciences and human sciences 0 0 0 0 0 i 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 i 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 i 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 i 0 0 0 0 0
      Physical sciences 0 0 0 0 0 i 0 0 0 0 0
      Psychology 0 0 0 0 0 i 0 0 0 0 0
      Social sciences 0 0 0 0 0 i 0 0 0 0 0
    Engineering 0 0 0 0 0 i 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 i 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 i 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 i 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 i 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 i 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 i 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Other engineering 0 0 0 0 0 i 0 0 0 0 0
    Health 0 2 2 2 0 i 0 0 4 1 1
      Clinical medicine 0 0 0 0 0 i 0 0 4 0 0
      Other health 0 2 2 2 0 i 0 0 0 1 1

i=imputed

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
2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All types and sources of support 85 111 125 127 117 i 120 120 140 138 112
  Fellowships 0 0 0 0 0 i 0 0 0 0 0
    Federal 0 0 0 0 0 i 0 0 0 0 0
    Institutional 0 0 0 0 0 i 0 0 0 0 0
    Nonfederal 0 0 0 0 0 i 0 0 0 0 0
  Research assistantships 0 0 0 0 0 i 0 0 0 0 0
    Federal 0 0 0 0 0 i 0 0 0 0 0
    Institutional 0 0 0 0 0 i 0 0 0 0 0
    Nonfederal 0 0 0 0 0 i 0 0 0 0 0
  Teaching assistantships 0 0 0 0 0 i 0 0 0 0 0
    Federal 0 0 0 0 0 i 0 0 0 0 0
    Institutional 0 0 0 0 0 i 0 0 0 0 0
    Nonfederal 0 0 0 0 0 i 0 0 0 0 0
  Other types of support 85 111 125 127 117 i 120 120 140 138 112
    Federal 0 2 2 2 0 i 0 0 4 1 1
    Institutional 0 0 0 3 0 i 0 0 0 0 0
    Nonfederal 0 0 0 0 0 i 0 0 0 0 0
    Personal resources 85 109 123 122 117 i 120 120 136 137 111

i=imputed

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 i 0 0 0 0 0
    Science 0 0 0 0 0 i 0 0 0 0 0
      Agricultural and veterinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Biological and biomedical sciences 0 0 0 0 0 i 0 0 0 0 0
      Communication 0 0 0 0 0 i 0 0 0 0 0
      Computer and information sciences 0 0 0 0 0 i 0 0 0 0 0
      Family and consumer sciences and human sciences 0 0 0 0 0 i 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 0 0 0 0 i 0 0 0 0 0
      Mathematics and statistics 0 0 0 0 0 i 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 0 0 0 0 i 0 0 0 0 0
      Natural resources and conservation 0 0 0 0 0 i 0 0 0 0 0
      Physical sciences 0 0 0 0 0 i 0 0 0 0 0
      Psychology 0 0 0 0 0 i 0 0 0 0 0
      Social sciences 0 0 0 0 0 i 0 0 0 0 0
    Engineering 0 0 0 0 0 i 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 i 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 0 0 0 0 i 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 0 0 0 0 i 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 i 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 i 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 i 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 0 0 0 0 i 0 0 0 0 0
      Other engineering 0 0 0 0 0 i 0 0 0 0 0
    Health 0 0 0 0 0 i 0 0 0 0 0
      Clinical medicine 0 0 0 0 0 i 0 0 0 0 0
      Other health 0 0 0 0 0 i 0 0 0 0 0

i=imputed

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 i 0 0 0 0 0
  Science and engineering . . . . . . . . . .
    Science . . . . . . . . . .
      Agricultural and veterinary sciences . . . . . . . . . .
      Biological and biomedical sciences . . . . . . . . . .
      Communication . . . . . . . . . .
      Computer and information sciences . . . . . . . . . .
      Family and consumer sciences and human sciences . . . . . . . . . .
      Geosciences, atmospheric, and ocean sciences . . . . . . . . . .
      Mathematics and statistics . . . . . . . . . .
      Multidisciplinary and interdisciplinary sciences . . . . . . . . . .
      Natural resources and conservation . . . . . . . . . .
      Physical sciences . . . . . . . . . .
      Psychology . . . . . . . . . .
      Social sciences . . . . . . . . . .
    Engineering . . . . . . . . . .
      Aerospace, aeronautical, and astronautical engineering . . . . . . . . . .
      Biological, biomedical, and biosystems engineering . . . . . . . . . .
      Chemical, petroleum, and chemical-related engineering . . . . . . . . . .
      Civil, environmental, transportation and related engineering fields . . . . . . . . . .
      Electrical, electronics, communications and computer engineering . . . . . . . . . .
      Industrial, manufacturing, systems engineering and operations research . . . . . . . . . .
      Mechanical engineering . . . . . . . . . .
      Metallurgical, mining, materials and related engineering fields . . . . . . . . . .
      Other engineering . . . . . . . . . .
    Health 0 0 0 0 0 i 0 0 0 0 0
      Clinical medicine 0 0 0 0 0 i 0 0 0 0 0
      Other health 0 0 0 0 0 i 0 0 0 0 0

i=imputed

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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