U. Maryland, U. 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
2023 590 14 679
2022 608 11.5 680
2021 563 19.4 691
2020 542 23.2 698
2019 621 11.8 697
2018 589 16.7 700
2017 565 18.2 684
2016 194 72.6 697
2015 530 24.3 693
2014 535 23 688
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 17 16 18 30 14 18 20 468 38 31
    Female 18 10 26 22 11 14 16 204 18 17
  U.S. citizens and permanent residents 33 26 43 51 24 32 35 666 53 45
    Hispanic or Latino 5 3 1 2 2 0 1 51 8 4
    Not Hispanic or Latino 25 22 37 45 17 24 31 553 37 38
      American Indian or Alaska Native 0 0 0 0 0 0 0 2 1 1
      Asian 3 4 7 4 1 5 9 59 2 6
      Black or African American 18 8 20 20 8 9 8 246 18 17
      Native Hawaiian or Other Pacific Islander 0 0 0 0 0 0 0 3 1 0
      White 2 8 8 18 7 9 13 215 14 13
      More than one race 2 2 2 3 1 1 1 28 1 1
    Unknown ethnicity and race 3 1 5 4 5 8 3 62 8 3
  Temporary visa holders 2 0 1 1 1 0 1 6 3 3
  Science and engineering 35 26 44 52 25 32 36 672 56 48
    Science 35 26 44 52 22 32 36 672 56 48
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 8 7 11 14 3 11 11 6 3 9
      Communication 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 27 19 33 38 19 21 25 666 53 39
      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 0 0 0 0 3 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 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
      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 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 3 0 0 0 0 0
      Mechanical engineering 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
      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

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 1,964 1,899 2,050 2,156 2,254 2,466 2,725 2,198 2,562 2,241
    Female 1,339 1,303 1,465 1,534 1,581 1,672 1,648 1,390 1,455 1,270
  U.S. citizens and permanent residents 3,189 3,080 3,387 3,563 3,711 4,019 4,261 3,510 3,943 3,452
    Hispanic or Latino 323 277 271 289 278 280 299 271 301 247
    Not Hispanic or Latino 2,525 2,541 2,823 2,922 2,990 3,244 3,570 2,873 3,199 2,836
      American Indian or Alaska Native 13 10 10 19 13 12 12 11 11 13
      Asian 292 321 339 335 293 351 365 303 280 245
      Black or African American 1,260 1,198 1,360 1,359 1,476 1,537 1,614 1,237 1,349 1,169
      Native Hawaiian or Other Pacific Islander 10 7 6 9 13 7 13 11 12 12
      White 832 896 995 1,090 1,087 1,201 1,420 1,189 1,413 1,301
      More than one race 118 109 113 110 108 136 146 122 134 96
    Unknown ethnicity and race 341 262 293 352 443 495 392 366 443 369
  Temporary visa holders 114 122 128 127 124 119 112 78 74 59
  Science and engineering 3,303 3,202 3,515 3,690 3,835 4,138 4,373 3,588 4,017 3,511
    Science 3,303 3,202 3,515 3,690 3,693 4,132 4,368 3,582 4,007 3,511
      Agricultural and veterinary sciences 0 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 513 555 587 583 540 487 435 390 384 332
      Communication 0 0 0 0 0 0 0 0 0 0
      Computer and information sciences 2,790 2,647 2,928 3,107 3,153 3,645 3,933 3,192 3,623 3,179
      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 0 0 0 0 142 6 5 6 10 0
      Aerospace, aeronautical, and astronautical engineering 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
      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 0 0 0
      Electrical, electronics, communications and computer engineering 0 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 142 6 5 6 10 0
      Mechanical engineering 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
      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

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 1 0 0 1 0 0 0 22 3 2
  Science and engineering 1 0 0 1 0 0 0 22 3 2
    Science 1 0 0 1 0 0 0 22 3 2
      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 1 0 0 1 0 0 0 22 3 2
      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 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
      Biological, biomedical, and biosystems engineering 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
      Civil, environmental, transportation and related engineering fields 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
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 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
      Other engineering 0 0 0 0 0 0 0 0 0 0
    Health 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

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 35 26 44 52 25 32 36 672 56 48
  Fellowships 1 0 0 1 0 0 0 0 0 0
    Federal 1 0 0 1 0 0 0 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 31 0 0
    Federal 0 0 0 0 0 0 0 19 0 0
    Institutional 0 0 0 0 0 0 0 6 0 0
    Nonfederal 0 0 0 0 0 0 0 6 0 0
  Teaching assistantships 0 0 0 0 0 0 0 30 0 0
    Federal 0 0 0 0 0 0 0 0 0 0
    Institutional 0 0 0 0 0 0 0 30 0 0
    Nonfederal 0 0 0 0 0 0 0 0 0 0
  Other types of support 34 26 44 51 25 32 36 611 56 48
    Federal 0 0 0 0 0 0 0 3 3 2
    Institutional 4 1 3 3 7 6 2 90 0 0
    Nonfederal 0 0 0 0 4 2 3 2 0 0
    Personal resources 30 25 41 48 14 24 31 516 53 46

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 0
    Science 0 0 0 0 0 0 0 0 0 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 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
      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 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
      Biological, biomedical, and biosystems engineering 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
      Civil, environmental, transportation and related engineering fields 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
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 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
      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

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
  Science and engineering 0 0 0 0 0 0 0 0 0 0
    Science 0 0 0 0 0 0 0 0 0 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 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
      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 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
      Biological, biomedical, and biosystems engineering 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
      Civil, environmental, transportation and related engineering fields 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
      Industrial, manufacturing, systems engineering and operations research 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 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
      Other engineering 0 0 0 0 0 0 0 0 0 0
    Health 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

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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