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Oct 06, 2024
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2024-2025 University Catalog
Data Science - Business Analytics minor
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A minor in data science-business analytics requires completion of 22 credits, as follows. In meeting the requirements of this interdisciplinary minor, a student may not use more than nine credits that are also used to meet the requirements of other majors or minors. Business Administration majors may not minor in Data Science- Business Analytics but may minor in Data Science.
- Business Foundations: ACCT 100
- Data Science Foundations: At least three credits chosen from among the following courses: BUS 310, 314
- Statistics: At least three credits chosen from among the following courses: BIOL 201; BUS 202; CBSC 250; DS 395, 399, 421, 422, 423; DCI 202; ECON 202; POL 202; MATH 118, 310; SOAN 218, SOAN 222
- Computing/Programming: At least three credits chosen from among the following: BUS 315, 316; CSCI 111
- Electives: At least nine additional credits chosen from among the following: BUS 314, 315, 316, 359; CSCI 111, 112, 315; DS 395, 399, 421, 422, 423; ECON 203; MATH 222, 309, SOAN 222
- Portfolio: DS 401, completed during the fall or winter term of the senior year, including at least three projects or assignments from courses in the minor, and also including at least two reflections on data science competencies.
No more than three credits of 400-level work can be counted towards the minor. Additional prerequisites may be required depending on course choices above.Additional prerequisites may be required depending on course choices above.
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2. Data Science Foundations:
At least three credits chosen from among the following courses:
3. Statistics:
At least three credits chosen from among the following courses:
4. Computing/Programming
At least three credits chosen from among the following:
5. Electives:
At least nine additional credits chosen from among the following:
6. Portfolio:
DS 401, completed during the fall or winter term of the senior year, including at least three projects or assignments from courses in the minor, and also including at least two reflections on data science competencies.
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