Data
Montana Technological U.
All races | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
All part-time students | 120 | 133 | 32 | 106 | 114 | 134 | 123 | 119 | 110 | 95 | ||||||||||
Male | 72 | 89 | 16 | 65 | 70 | 83 | 79 | 77 | 80 | 46 | ||||||||||
Female | 48 | 44 | 16 | 41 | 44 | 51 | 44 | 42 | 30 | 49 | ||||||||||
U.S. citizens and permanent residents | 115 | 131 | 30 | 97 | 110 | 125 | 123 | 114 | 108 | 92 | ||||||||||
Hispanic or Latino | 4 | 7 | 1 | 0 | 4 | 4 | 0 | 7 | 4 | 8 | ||||||||||
Not Hispanic or Latino | 96 | 103 | 29 | 80 | 82 | 107 | 73 | 96 | 95 | 80 | ||||||||||
American Indian or Alaska Native | 4 | 2 | 2 | 1 | 1 | 4 | 0 | 2 | 2 | 2 | ||||||||||
Asian | 8 | 3 | 1 | 1 | 0 | 3 | 10 | 0 | 2 | 1 | ||||||||||
Black or African American | 2 | 3 | 0 | 4 | 11 | 5 | 16 | 2 | 8 | 4 | ||||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 0 | 0 | ||||||||||
White | 82 | 95 | 26 | 73 | 70 | 95 | 39 | 92 | 83 | 73 | ||||||||||
More than one race | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Unknown ethnicity and race | 15 | 21 | 0 | 17 | 24 | 14 | 50 | 11 | 9 | 4 | ||||||||||
Temporary visa holders | 5 | 2 | 2 | 9 | 4 | 9 | 0 | 5 | 2 | 3 | ||||||||||
Science and engineering | 42 | 44 | 5 | 13 | 6 | 43 | 43 | 31 | 38 | 31 | ||||||||||
Science | 21 | 17 | 1 | 5 | 4 | 17 | 22 | 16 | 18 | 14 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 4 | 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 sciences, and ocean sciences | 7 | 7 | 0 | 5 | 4 | 11 | 15 | 10 | 13 | 10 | ||||||||||
Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Multidisciplinary and interdisciplinary studies | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 2 | 1 | 2 | ||||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Physical sciences | 9 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Social sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Engineering | 21 | 27 | 4 | 8 | 2 | 26 | 21 | 15 | 20 | 17 | ||||||||||
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 | 1 | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 | 1 | ||||||||||
Civil, environmental, transportation and related engineering fields | 3 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Electrical, electronics, communications and computer engineering | 2 | 2 | 0 | 0 | 2 | 5 | 2 | 0 | 0 | 0 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 6 | 10 | 8 | ||||||||||
Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Metallurgical, mining, materials and related engineering fields | 6 | 7 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | ||||||||||
Other engineering | 9 | 15 | 4 | 5 | 0 | 8 | 5 | 4 | 7 | 8 | ||||||||||
Health | 78 | 89 | 27 | 93 | 108 | 91 | 80 | 88 | 72 | 64 | ||||||||||
Clinical medicine | 78 | 89 | 27 | 92 | 106 | 91 | 80 | 88 | 72 | 64 | ||||||||||
Other health | 0 | 0 | 0 | 1 | 2 | 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).