Data Science
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