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Requirements
Overview
For both data science and data analytics majors, students take:
- Core courses in math, statistics, computer science.
- Disciplinary specialty: students choose one discipline (from among economics, psychology, political science, sociology, anthropology, education studies, biology, chemistry, geology) and take a sequence of 3-5 courses that teach students disciplinary thinking and how data is used in that discipline.
- Courses from the humanities on data work.
- One sophomore seminar that introduces students to the data science and data analytics major and career.
- One senior seminar or capstone experience, in which students work on a real data project.
Data Science & Data Analytics
Majoring in data science or data analytics at Beloit, you will learn not only how to work with data, but also the humanistic foundation of data work. You will acquire career-ready skills that will position you, at graduation, to work in a variety of fields that make use of complex data sets (e.g. business, the arts, science, government, and more).
Majors
- Data Science and Data Analytics 210 (.5).
- One unit in mathematics: Mathematics 110.
- Three units in computer science: Computer Science 111, 204, and 367.
- Three units in data science and data analytics or the humanities, chosen from Art 325, Data Science and Data Analytics 215, Greek, Latin, and Ancient Mediterranean Studies 249, Media Studies 150, Writing/Comparative Literature 215.
- One disciplinary specialty chosen from the following (3 units, unless otherwise indicated):
- Anthropology: Two units chosen from any 100-level anthropology courses; 240 (201 and 225 are recommended).
- Biology: one 100-level biology course and 247; either 215 or 372.
- Chemistry: 117 and 220, and one chosen from 225, 240, 245, or 300.
- Economics: 199, 211, 251 (one chosen from 271, 302, or 303 is recommended).
- Education and Youth Studies: 201, 252, and 306.
- Environmental Studies: one laboratory science course, one statistics or quantitative course from any discipline, and Environmental Studies 258.
- Geology: 100 or 110; one statistics or quantitative course from any discipline; one chosen from Geology 230, 235, or 245, or Environmental Studies 258, with a geology project.
- Health and Society: 140, one statistics or quantitative course from any discipline, and Biology 215.
- Physics (4 units): Mathematics 115; Physics 101 and 335; either Physics 210 or 345.
- Political Science: 110 and 201; either 207 or 215.
- Psychology: 100, 161, 162.
- Sociology: either 100 or 150; 205 and 211.
- Data Science and Data Analytics 310 (.5)
- Data Science and Data Analytics 210 (.5), 345, and 385.
- Four units in mathematics: Mathematics 110, 115, 175, and 205.
- Three units in computer science: Computer Science 111, 204, and 367.
- Two units in data science and data analytics or the humanities, chosen from Art 325, Data Analytics and Science 215, Greek, Latin, and Ancient Mediterranean Studies 249, Media Studies 150, Comparative Literature/Writing 215.
- One disciplinary specialty chosen from the following (3 units):
- Anthropology: Two units chosen from any 100-level anthropology courses and 240 (201 and 225 are recommended).
- Biology: one 100-level biology course and 247; either 215 or 372.
- Chemistry: 117 and 220, and one chosen from 225, 240, 245, or 300.
- Economics: 199, 211, 251 (one from 271, 302, or 303 is recommended).
- Education and Youth Studies: 201, 252, and 306.
- Environmental Studies: one laboratory science course, one statistics or quantitative course from any discipline, and Environmental Studies 258.
- Geology: 100 or 110; one statistics or quantitative course from any discipline; one chosen from Geology 230, 235, or 245, or Environmental Studies 258, with a geology project.
- Health and Society: 140, one statistics or quantitative course from any discipline, and Biology 215.
- Physics: Physics 101 and 335; either Physics 210 or 345.
- Political Science: 110 and 201; either 207 or 215.
- Psychology: 100, 161, 162.
- Sociology: either 100 or 150; 205 and 211.
- Data Science and Data Analytics 310 (.5).