Data Science, Minor

The minor in Data Science is designed to be paired with a wide variety of majors across William & Mary, so there are no restrictions on the primary major pursued in conjunction with the Data Science minor. Under most circumstances, the Data Science minor should be declared no later than the second semester of the Junior year to ensure the minor can be completed. Two courses may be counted toward both your primary major and minor; some courses may be substituted with permission from the director.

Required Credits: 12

DATA 101 - Demystifying Data Credits: (3)
(or CSCI 141 )
DATA 201 - Introduction to Data Science Credits: (3)
DATA 202 - Ethics in Data Science Credits: (3)
(or PHIL 215 - Right and Wrong in the Contemporary World Credits: (3) or PHIL 303 - Ethics Credits: (3) PHIL 330 - Ethics and Data Science Credits: (3))
DATA 301 - Applied Machine Learning Credits: (3)

Additional Credits: at least 6

Students must select two or more courses overlapping with the pedagogic pillars of the Data Science program (Computation, Application, Communication, Deliberation), which must have a focus on the analysis of temporal, spatial, or numerical data. Courses chosen should have a quantitative focus and must be approved by the Director, Associate Director, and Director of Undergraduate Studies. Please reach out to one of the Faculty Affiliates listed at ds.wm.edu to discuss your options and follow the procedure for declaring a minor outlined on the Data Science website.