Data Science minor

A minor in data science requires completion of at least 19 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.

1. Data Science Foundations: At least three credits chosen from among the following: BIOL 185, 187; BUS 310, 314; CBSC 185, 240; MATH 100A
2. Statistics: At least three credits chosen from among the following: BIOL 201; BUS 202; CBSC 250; DCI 202; DS 285; ECON 202; INTR 202; MATH 118, 310; SOAN 218, 219, 222
3. Computing/Programming: At least three credits chosen from among the following: BUS 306, 315, 316; CSCI 111; DCI 110
4. Electives: At least nine additional credits chosen from among the following: BIOL 282, 325, 385; BUS 306, 315, 316, 317; CBSC 359; CSCI 111, 112, 315; DCI 110; DS 285, 395, 399, 421, 422, 423; ECON 203; EEG 260; MATH 222, 309, 310; PHYS 265; SOAN 219, 220, 222, 264, 265, 266, 268, 276, 395; and, when appropriate BIOL 297
5. 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 in which students reflect 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.