Undergraduate Major in Social Data Science

Core Courses 

All students take foundational courses in programming, statistics, mathematics, and data science, as well as upper-level courses in database design, data privacy and security, ethics, data sources and manipulation, data visualization, and survey fundamentals.

BSOS 326: Python Programming for Social Data Science 

INST 327: Database Design and Modeling

INST 366: Privacy, Security and Ethics for Big Data

INST 414: Data Science Techniques

INST 447: Data Sources and Manipulation

INST 462: Introduction to Data Visualization

SURV 400: Fundamentals of Survey and Data Science

Track Courses

Students also take a set of track courses in a discipline that include upper-level method and theory courses, and a set of restricted electives that will allow students to deepen their knowledge of the discipline and apply data science principles to social science research and practice. Additional tracks may be added over time.