University of San Francisco

The Master of Science in Applied Economics at the University of San Francisco trains students to apply the theoretical insights and empirical techniques of modern economics to practical problems in the business, government, and non-profit sectors. This program focuses in particular on the skills needed in the increasingly digitized economy. Manipulation and analysis of data using industry-standard programming languages is an integral part of the curriculum from day one. Students learn how to use the tools of economics to grapple with the implications of the new markets and new information sources created by advances in information technology.

Program Learning Outcomes

• Economic Data Manipulation: Students will be able to effectively use modern programming languages to clean, organize, query, summarize, visualize, and model large volumes and varieties of data. 

• Economic Data Analytics: Students will possess a theoretical and applied understanding of the use of econometrics and statistics for descriptive and causal inference. 
• Applied Economic Theory: Students will be able to understand and apply economic theory to understand how businesses and other organizations interact with each other and with users/customers/clients and use this understanding to guide data analysis. 
• Economic Problem Solving: Students will be able to solve real-world data-driven business and policy problems working with economists, policy makers, data scientists and business practitioners. 
• Economic Communication: Students will be able to communicate their research approach and findings at an excellent level, both in writing and verbally.