Data can reveal patterns in the subjects you care about and raise questions you hadn’t thought to ask. The Data Science minor gives you the computing skills to work with that information and explain what you find. Bring those skills to another major to investigate questions in health, the environment, history or another field. You’ll learn to consider what the data can support, what it leaves out and how your findings may be used.

Rony Dahdal writes equations with a green dry erase marker on a clear board.

What You'll Study

Data Science

You’ll study programming, databases, visualization, data mining and machine learning. These courses help you organize information, find patterns and present results others can understand. You’ll also consider the choices behind an analysis, from how information is prepared to how a finding is interpreted.

Professor Shannon Duvall teaches a computer science class.

Connect it to Your Major

Your major gives you context for the data: what it represents, which questions matter and what a finding might mean.

For example:

  • Public Health: Examine patterns in health data to investigate questions about access to care.
  • Environmental Studies: Analyze measurements over time to understand changes in an ecosystem.
  • History: Use digitized records to investigate patterns of migration or social change.

These are possible directions. Your knowledge of another field helps you ask better questions of the data and interpret what you find.

Minor Requirements & Courses

The Data Science minor is a 20 semester hour program combining a computer science foundation with coursework in visualizing, managing and analyzing data. Its required courses give you a set of tools you can apply to questions in other fields.

Required courses - 20 semester hours

  • Data Science and Visualization
  • Computer Science I
  • Computer Science II
  • Database Systems
  • Data Mining and Machine Learning

Your Faculty

Faculty traditionally associated with the minor in Data Science

Program Coordinator