Data
Lawrence Technological U.
| All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 338 | 205 | 162 | 206 | 230 | 276 | 374 | 286 | 366 | 427 | ||||||||||
| Female | 85 | 51 | 43 | 70 | 78 | 67 | 72 | 44 | 59 | 100 | ||||||||||
| U.S. citizens and permanent residents | 80 | 108 | 134 | 155 | 160 | 158 | 136 | 68 | 66 | 147 | ||||||||||
| Hispanic or Latino | 3 | 2 | 4 | 4 | 5 | 4 | 6 | 2 | 1 | 2 | ||||||||||
| Not Hispanic or Latino | 75 | 103 | 126 | 145 | 146 | 143 | 117 | 60 | 60 | 110 | ||||||||||
| American Indian or Alaska Native | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||||||||||
| Asian | 8 | 9 | 12 | 16 | 14 | 17 | 11 | 3 | 2 | 3 | ||||||||||
| Black or African American | 7 | 11 | 18 | 18 | 18 | 15 | 14 | 3 | 2 | 16 | ||||||||||
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| White | 59 | 81 | 92 | 108 | 111 | 107 | 91 | 54 | 55 | 91 | ||||||||||
| More than one race | 1 | 2 | 4 | 3 | 3 | 4 | 0 | 0 | 1 | 0 | ||||||||||
| Unknown ethnicity and race | 2 | 3 | 4 | 6 | 9 | 11 | 13 | 6 | 5 | 35 | ||||||||||
| Temporary visa holders | 343 | 148 | 71 | 121 | 148 | 185 | 310 | 262 | 359 | 380 | ||||||||||
| Science and engineering | 423 | 256 | 205 | 276 | 308 | 343 | 446 | 330 | 425 | 527 | ||||||||||
| Science | 175 | 78 | 61 | 72 | 65 | 79 | 96 | 20 | 26 | 100 | ||||||||||
| 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 | 39 | ||||||||||
| Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Computer and information sciences | 175 | 78 | 61 | 72 | 65 | 79 | 96 | 20 | 26 | 61 | ||||||||||
| 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 | 248 | 178 | 144 | 204 | 243 | 264 | 350 | 310 | 399 | 427 | ||||||||||
| Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Biological, biomedical, and biosystems engineering | 4 | 7 | 6 | 6 | 7 | 4 | 6 | 1 | 1 | 0 | ||||||||||
| Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Civil, environmental, transportation and related engineering fields | 61 | 29 | 28 | 45 | 56 | 64 | 62 | 58 | 69 | 86 | ||||||||||
| Electrical, electronics, communications and computer engineering | 14 | 11 | 10 | 17 | 18 | 18 | 29 | 71 | 108 | 82 | ||||||||||
| Industrial, manufacturing, systems engineering and operations research | 51 | 37 | 33 | 53 | 43 | 50 | 60 | 0 | 0 | 0 | ||||||||||
| Mechanical engineering | 64 | 54 | 51 | 60 | 76 | 74 | 115 | 180 | 221 | 259 | ||||||||||
| Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Other engineering | 54 | 40 | 16 | 23 | 43 | 54 | 78 | 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 | ||||||||||
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).

