Minor
Data Science Minor
The minor consists of a total of five courses, three core requirements and two electives. Please keep in mind that some of these courses will also require you to take pre-requisites or co-requisites.
Core requirements
To satisfy the core requirements, a student must choose one course from each of the three categories: Data & Computational Thinking, Data & Statistical Thinking, and Data, Culture & Society.
Data & Computational Thinking
This core requirement will provide you with an introduction to the computing tools and coding methods needed to gather, manipulate, visualize, and analyze data. Taught in Python and/or R.
Courses (Choose one)
Data & Statistical Thinking
This core requirement will provide you with an introduction to data driven statistical analysis, focusing on a hands-on approach to making inferences and predictions to learn from data. Taught in Python and/or R.
Courses (Choose one)
Data, Culture & Society
This core requirement focuses on the social, political, cultural and/or ethical dimensions of data.
Courses (Choose one)
- CLAR 270 – Quantifying the Past: Big Data and Big Questions in Classical Archaeology
- COMM 348 – Algorithms & Society (previously COMM 390)
- COMP 380 – Technology, Ethics, & Culture
- ENGL 114 – The Rhetoric of Data (previously ENGL 190)
- GEOG 115 – Maps: Geographic Information from Babylon to Google
- GEOG 141 – Geography for Future Leaders
- PLAN 562 – Ethics and Politics of New Urban Analytics
- POLI 209 – Analyzing Public Opinion
Electives
Most departments within the College of Arts & Sciences offer courses that can be used to complete the Data Science Minor. Elective courses focus on the methods and applications of data science or innovative uses of data. Students need to select two electives to complete the minor. We have compiled a department-specific list, as well as a tool that can help students choose the best pair of electives to reach their goals.
