Required Credit Hours: minimum of 18

• DATA 141 - Programming for Data Science Credits: (4) or
• CSCI 141 - Computational Problem Solving Credits: (4) or
• CSCI 140 - Computational Problem Solving in Data Science Credits: (4)

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• DATA 146 - Reasoning Under Uncertainty Credits: (3) or
• CSCI 146 - Reasoning Under Uncertainty Credits: (3)

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• DATA 310 - Applied Machine Learning Credits: (3)
• PHIL 303 - Ethics Credits: (3) or
• PHIL 215 - Right and Wrong in the Contemporary World Credits: (3) or
• DATA 150 - First-Year Seminar Credits: (4)

Choose 2 in consultation with your advisor:

Courses chosen should engage with two or more of the pedagogic pillars of the Data Science Program (computation, application, communication and deliberation), and have a focus on the analysis of temporal, spatial, or numerical data.  It is suggested that students take this requirement within their home major department when feasible.  Example sequences might include:

1. MATH 351 , MATH 352  (Math)
2. CSCI 241 , CSCI 243  (Computer Science)
3. GIS 201 , GIS 405 , GIS 410 , GIS 420  (Geographic Information Systems)

Note:

Note:

Faculty Affiliates of the Data Science Program are available to advise students - the full list of affiliates can be found at ds.wm.edu.  It is highly recommended that you contact an advisor with expertise that closely matches your primary major and/or long term career goals before matriculation into the program.