The Applied Data Science minor is an opportunity for a wide variety of majors to obtain data science skills in a unique interdisciplinary experience. Students who earn the minor will be well-rounded in the following aspects of data science:
- Analysis and computation
- Ethics and critical thinking
- Communication and visualization
- Domain context and curation of data.
Requirements
| Applied Data Science Minor | Credits |
|---|---|
| PHIL 123 Philosophy in a Datafied World | 3 |
| Choose 1 of the following 3 options: 1) Data Analytics with R 2) Data Science for the Sciences Certificate AND BIOL 306 Communication in the Biological Sciences OR ENGL 212 Introduction to Technical Communication OR PSYC 321 Research Methods 3) Data Science for STEM Certificate AND BIOL 306 Communication in the Biological Sciences OR ENGL 212 Introduction to Technical Communication OR PSYC 321 Research Methods | 12-22 |
| 2 courses in ANTH, BIOL, BOT, DATA-LA, ECON, GEOG, GEOS, ITM, LING, PHYS, PSYCH, SOC, VIP | 6 |
| Total | 21-31 |
Course Electives for the Applied Data Science Minor
The Applied Data Science Minor requires two courses in a domain such as ANTH, BIOL, BOT, DATA-LA, ECON, GEOG, GEOS, ITM, LING, PHYS, PSYCH, SOC, VIP. This is so students can experience the collection or interpretation of data in the field in which it is observed. Here are some recommended courses:
- ANTH 418
- BIOL: 425, 446, 449
- BOT 424
- DATA-LA 420
- ECON 342
- GEOG 360
- GEOS: 343,357,414, 419, 422
- ITM: 340, 415
- LING 403
- PSYCH 405
- SOC: 410, 475
- MEDIA 302
- PHYS 305, 309, 325
- VIP courses