A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Minor
- Total credits (published)
- 18
- Credits (computed from items)
- 18
- Catalog edition
- 2026-2027
- Checklist type
- degree-program
Identifiers
- IPEDS UNITID
- 231624
- CourseShelf checklist
- CK_231624_88c6ae46
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 59
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Course Requirements
0 items
Required Credits
4 items
- or: CSCI 141 Modern Programming Fundamentals3
- 3
- 3
- or: DATA 301 Applied Machine Learning3
Additional Credits
13 items
- 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. Approve courses are: 1Not resolved to a course6
- 4
- 3-4
- 3
- 3
- BUAD 351Not resolved to a course
- 1.5
- 3
- 3
- 3
- 3
- 3
- 3
or DATA 300 or 400 level courses, excluding DATA 480, DATA 481 and 491
28 items
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 4
Source. William & Mary, catalog 2026-2027 — https://catalog.wm.edu/programs/data-science-minor/index.html. Captured page pages/0207.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.