Applied Economics
Entry requirements
You can find more information on entry requirements here: How to Apply - Applied Economics, MS | University of San Francisco
Months of entry
September
Course content
In the San Francisco Bay Area, the development of advanced technologies is altering the way people live and work. Digital markets are fundamentally changing interactions between consumers, businesses, organizations and governments throughout the world. As a next-generation economist with an MS in Applied Economics, you will have the skills to take a leadership role in this dynamic environment.
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.
The San Francisco Bay Area is the birthplace of businesses in the new digital economy. From San Francisco to Silicon Valley, these firms are learning to benefit from massive data flows and dynamic business models that allow them to understand consumers in great detail and adjust their product and service offerings quickly – without interruption. This work demands the type of sophisticated quantitative economists that are graduates of the MS in Applied Economics at USF. With hundreds of these firms in the area, our students easily gain real-world knowledge and experience to launch exciting careers.
Fees and funding
You can find more information on funding your studies here: Financing Your Education - Applied Economics, MS | University of San Francisco
Qualification, course duration and attendance options
- MS
- full time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- admissions