SC

Minor in Data Science

Minor in Data Science

Student Learning Outcomes

Graduates with a minor in Data Science will:

  • Apply statistical and probabilistic methods to analyze real-world data.
  • Write programs to collect, clean, and process data for analysis.
  • Design and query databases to manage and retrieve data effectively.
  • Build and evaluate predictive models using machine learning techniques.
  • Communicate data insights ethically through visualizations and reports.

Minor requirements*

  • CPTR213 Modern Programming Principles for Data Science (4 hours)
  • CPTR223 Introduction to Data Science (3 hours)
  • CPTR320 Database Management Systems (3 hours)
  • CPTR412 Business Intelligence (3 hours)
  • CPTR425 Machine Learning (3 hours)

Cognate requirements

  • MATH215 Intro to Statistics and Probability (3 hours)

*2026-2027 Course Catalog

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