Data Analytics Minor

The data analytics minor is designed for students who want to develop or enhance their ability to apply statistics, programming/coding, and mathematics to assess, analyze, and communicate recommendations related to complex data-driven problems in their area of interest. The minor can be coupled with nearly any major on campus. Five units are required including: core classes in statistics, and computer programming, one survey course on data analytics, and two electives within four different areas of emphasis related to data: management/organization, research methods & analysis, modeling & forecasting, and data & society. A maximum of two classes from this minor may also be counted towards a college major.   For questions about this minor, contact Dr. Drew Ash in Mathematics or Dr. Seolah Kim in Economics & Management. 

Student Learning Outcomes for Minor: 

All students completing this minor will be able to: 

1. Collect, explore, and clean a dataset related to a question of interest with a comprehension of several data formats.
2. Conduct data visualizations and basic data analyses from the real-world data across different basic and applied contexts.
3. Recognize societal concerns associated with data collection and analysis, such as ethical issues of implicit biases, privacy, confidentiality.
4. Be proficient in at least one high-level programming language and know how to apply this language to real-world datasets.
5. Interpret the results from the analyses and clearly present them in a professional manner.