Data Science Minor
The Data Science minor has an emphasis on the foundations of computational thinking, problem solving, and how to represent, store, access, and modify data. Students can take a strict subset of Computer Science major courses to fulfill the minor requirements. Completion of 20 credit-hours (all four-credit courses) is required for the minor.
Regulations Governing Minor Course Work
- There shall be a minimum of 18.0 credit hours with a minimum Millersville QPA of 2.0.
- Only one course which counts toward your major may be counted toward your minor.
- Courses that count toward a minor are also eligible to be used to satisfy the current University-wide General Education requirements subject to normal distribution requirements.
- At least two courses should be at the upper-division level (300-400). Exceptions may be requested upon evidence of program depth.
- No course needed for the minor may be taken Pass-Fail.
- One-half or more of the work required for the minor must be completed at Millersville University.
- No student may minor in his or her major.
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Minor in Data Science
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Data Mining or Lg-Scale Data Analytics & Viz - Choose 1 of the following:4 hours
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Data Mining
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Large-Scale Data Analytics and Visualization
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Total hours20 hours