Data Analytics Minor

Brian Gill, PhD (Mathematics)

As society becomes increasingly dependent on data, new knowledge, skills, and professions are emerging to collect, organize, interpret, and use data. Data analytics (DA) uses data-driven techniques to transform raw data into useful information — information that may be used to identify and solve problems, evaluate claims and make inferences, and influence human decisions and machine models. 

Data Analytics is used in nearly every professional domain, including business and government, health and social services, and science and education.


  • A minimum 30 credits are required for this minor, including 15 upper-division credits.
  • A 10-credit Data Analytics Core is required, as well as courses in statistics, regression modeling, and electives from at least two of four disciplines.
  • This interdisciplinary minor includes courses from several schools and departments.

Entering and completing the minor