Data

Montana Technological U.
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 39 | 45 | 42 | 116 | 75 | 85 | 71 | 73 | 51 | 51 | ||||||||||
Female | 17 | 20 | 27 | 65 | 25 | 30 | 30 | 25 | 28 | 25 | ||||||||||
U.S. citizens and permanent residents | 36 | 51 | 56 | 165 | 81 | 97 | 78 | 85 | 71 | 67 | ||||||||||
Hispanic or Latino | 3 | 2 | 1 | 5 | 0 | 0 | 0 | 0 | 2 | 2 | ||||||||||
Not Hispanic or Latino | 32 | 43 | 47 | 144 | 73 | 90 | 71 | 75 | 61 | 59 | ||||||||||
American Indian or Alaska Native | 0 | 1 | 4 | 3 | 1 | 0 | 5 | 3 | 1 | 1 | ||||||||||
Asian | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 4 | ||||||||||
Black or African American | 1 | 1 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 1 | ||||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | ||||||||||
White | 30 | 40 | 41 | 131 | 71 | 90 | 66 | 71 | 58 | 53 | ||||||||||
More than one race | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Unknown ethnicity and race | 1 | 6 | 8 | 16 | 8 | 7 | 7 | 10 | 8 | 6 | ||||||||||
Temporary visa holders | 20 | 14 | 13 | 16 | 19 | 18 | 23 | 13 | 8 | 9 | ||||||||||
Science and engineering | 47 | 52 | 59 | 105 | 80 | 102 | 87 | 86 | 72 | 67 | ||||||||||
Science | 19 | 19 | 28 | 43 | 39 | 48 | 46 | 36 | 37 | 32 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 3 | 3 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 2 | ||||||||||
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 | 6 | 11 | 14 | 23 | 17 | 28 | 24 | 22 | 28 | 28 | ||||||||||
Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | 6 | 2 | ||||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Physical sciences | 10 | 5 | 5 | 16 | 22 | 20 | 17 | 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 | 28 | 33 | 31 | 62 | 41 | 54 | 41 | 50 | 35 | 35 | ||||||||||
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 | 2 | 1 | 2 | 3 | 4 | 5 | 6 | 6 | 3 | 3 | ||||||||||
Civil, environmental, transportation and related engineering fields | 2 | 4 | 7 | 11 | 6 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Electrical, electronics, communications and computer engineering | 2 | 1 | 3 | 5 | 7 | 28 | 1 | 6 | 6 | 3 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | ||||||||||
Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Metallurgical, mining, materials and related engineering fields | 11 | 12 | 11 | 18 | 11 | 13 | 8 | 13 | 13 | 10 | ||||||||||
Other engineering | 11 | 15 | 8 | 25 | 13 | 8 | 26 | 19 | 13 | 19 | ||||||||||
Health | 9 | 13 | 10 | 76 | 20 | 13 | 14 | 12 | 7 | 9 | ||||||||||
Clinical medicine | 9 | 13 | 10 | 76 | 20 | 13 | 14 | 12 | 7 | 9 | ||||||||||
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).