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Data Science Minor

Illinois Wesleyan University's Data Science minor provide students with practical, hand-on, experience to develop the knowledge and skills necessary to use the methods and techniques of Data Science to address many different kinds of real-world problems. Students with a minor in Data Science develop skills in:

  • Algorithmic / computational thinking
  • Communication (written and verbal)
  • Data curation / management
  • Ethics (privacy, data access, control)
  • Machine learning
  • Process / reproducibility
  • Programming
  • Statistics / statistical inference
  • Visualization

Minor Requirements

  • CS 125/DASC125 - Introduction to Computer and Data Sciences
  • DASC 225 - Data Analytics with Visualization
  • One statistics course: MATH 141, MATH 325, ECON 227, PSYC 227, or BIOL 323 
  • CS 377/DASC 377 - Applied Data Analysis
  • DASC 395 - Directed Study: Data Science Capstone

Course Substitutions

The following approved substitutions may count toward the minor if any of the five required courses are counted toward a student’s major:

  • CS 314: Database Systems
  • ECON 328: Applied Econometrics
  • ECON 338: Time Series Analysis
  • MATH 215: Linear Algebra
  • MATH 403: Computational Data Analysis

Brad Sheese - Professor of Computer Science

Department - Computer Science