Data
Medical U. South Carolina
| Field | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All surveyed fields | 98 | 115 | 79 | 115 | 118 | 110 | 127 | 122 | 120 | 118 | 0 | |||||||||||
| Science and engineering | 47 | 59 | 44 | 58 | 60 | 57 | 74 | 74 | 70 | 64 | 0 | |||||||||||
| Science | 47 | 59 | 44 | 58 | 60 | 57 | 73 | 72 | 69 | 64 | 0 | |||||||||||
| Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Biological and biomedical sciences | 47 | 59 | 44 | 58 | 60 | 55 | 72 | 47 | 38 | 38 | 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 | 2 | 1 | 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 | 1 | 2 | 1 | 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 | 1 | 2 | 1 | 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 | 51 | 56 | 35 | 57 | 58 | 53 | 53 | 48 | 50 | 54 | 0 | |||||||||||
| Clinical medicine | 39 | 43 | 27 | 52 | 47 | 37 | 36 | 32 | 34 | 42 | 0 | |||||||||||
| Other health | 12 | 13 | 8 | 5 | 11 | 16 | 17 | 16 | 16 | 12 | 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).

