University San Francisco
San Francisco, United States of America
To give students the skills needed for the new kinds of jobs being created every day in the AI-powered digitized economy, our curriculum integrates economics and data science from day one. Students gain a foundation in major programming languages like Python and R in their first semester alongside core microeconomic theory. They then learn to apply these tools to acquire, visualize, and analyze data in economic applications as they study topics including pricing, the design of market platforms, and auctions. At the same time, they continue to learn new tools through courses in econometrics, experiments, machine learning, and other aspects of causal inference and research design.
