The minor in Data Science is an interdisciplinary undergraduate minor offered jointly by computer science, statistics, and information systems. The Data Science minor consists of six courses and gives students the analytic and computational skills that are useful for any domain.
Up to three courses may be double counted between the Data Science minor and another major or minor.
Requirements for the Minor
- CS 151 - Computer Science through Programming
- DS 303 - Discovering Information in Data or IS 251 - Data Analytics and Information Systems
- IS 358 - Business Intelligence and Data Mining
- ST 210 - Introduction to Statistics or ST 265 - Biostatistics or EC 220 - Business Statistics
- ST 310 - Statistical Computing
Elective
Choose one course from the following:
- CS 485 - Database Management Systems
- IS 311 - Enterprise Systems
- IS 353 - Data Management and Database Systems
- MA 485 - Stochastic Processes
- ST 465 - Experimental Research Methods
- ST 472 - Applied Multivariate Analysis
- A course from the electives listed for the Data Science Major.
For course descriptions, please see the Undergraduate Academic Catalog.
Note
Up to three courses may be double counted between the Data Science minor and another major or minor.