Course Requirements


Sample Four-Year Plan — Data Science

First Year

  • DS 100  Introduction to Data Science
  • CS 125 Introduction to Programming
  • STA-100/110  Statistical Foundations/Inferential Statistics

Second Year

  • DS 230 Data-Centric Programming
  • DS 260 Data Analysis and Visualization
  • Disciplinary Cognates -  200-level courses in another discipline.  e.g:
    • ANT 215 Ethnographic Methods
    • ECO 247 Health Economics
    • POL 245 Political Parties and Elections
    • SCJ 201 Law Enforcement and Corrections

Summer

  • DS 494 Internship in Data Science

Third Year

  • DS 315 Machine Learning
  • ECO 375 Econometrics
  • DS 375 Database Systems and Data Management

Fourth Year

  • DS 415 Deep Learning
  • MTH 455 Mathematical Modeling