Data Science Program Requirements

The data science minor consists of six courses: four foundation courses and two elective courses chosen from a list of disciplinary options.

Minor in Data Science

A grade point average of 2.00 is required for all courses taken in residence that may be applied to the data science minor.

Requirements

Foundation Courses - 12 credits

  • STAT 160 - P4 Introduction to Data Science
  • Choose ONE:
    • CSCI 260 - Introduction to Databases
    • CSCI 353 - Database Structures
  • STAT 345 - Exploratory Data Analysis
  • STAT 375 - Data Analysis and Statistical Computing

Electives - 6 credits

Choose TWO electives from the courses below.

  • COMM 349 - Media Management & Economics
  • COMM 363 - Media Research & Analytics
  • COMM 448 - Advanced Research in Media Mgmt
  • CSCI 385 - Data Mining
  • DIGC 240 - P4 Networked World
  • DIGC 245 - SQ Visualizing Data
  • MATH 130 - Mathematical Modeling & Quantitative Analysis
  • MGMT 345 - Applied Management Research
  • PSYC 204 - Advanced Statistics
  • SOCI 280 - Social Research Methods
  • STAT 270 - Meta-analysis
  • STAT 390 - Special Topics in Statistics
  • SPST 320 - Sport Marketing & Promotions
  • SPST 330 - Economics of Sport

Note: All elective selections must be approved by the director of the statistics program. Elective choices must not violate existing overlap stipulations with major degree requirements.

Total: 18 credits


Note: The information here is provided for informational purposes only. For exact requirements as well as course descriptions, visit the Undergraduate Catalog.