Master of Science in Economic Analytics

Students in our Master of Science in Economic Analytics program learn to combine economics with modern quantitative techniques that are in high demand in private and public organizations. In particular, they learn to apply economic theory to behavior and prices in markets, gather and process economic data, describe and visualize the data, estimate and interpret relationships among economic variables and use economic-statistical models for inference and forecasting.

The U.S. Department of Homeland Security designates our M.S. in Economic Analytics as a Science, Technology, Engineering and Mathematics (STEM) degree. As a result, international (F-1) students may apply for a 24-month extension of the 12-month optional practical training (OPT) with their M.S. in Economic Analytics.

The STEM-designated curriculum of the program consists of applied micro­economics and industrial organization (six credits), economic-statistical modeling (six credits), data analysis for economics (six credits), electives (six credits) and thesis research (six credits). Most students can complete their coursework in two semesters, write and defend their theses during the summer, and graduate within 12 months.

Graduates of our M.S. in Economic Analytics acquire market-ready skills to support the growing demand for quantitative, data-analytic economists in business and government. In particular, our graduates can:

• Use models to analyze choices of households, firms and governments.
• Identify how markets are structured, how government policy affects markets and how the structure affects prices, competition and overall performance.
• Obtain, organize, describe and visualize large data sets for economics.
• Use statistical software and programming languages, such as R and Stata.
• Apply quantitative techniques–such as data scraping, machine learning, event studies and other econometrics–to analyze economic problems.

We cannot yet advertise employers of recent graduates because 2021-2022 is our inaugural year. However, employers of recent graduates from our M.A. in Economics program include Abbott Laboratories, Bates White Economic Consulting, Beacon Economics, Bloomberg LP, CareCore National, Collaborative Solutions, Deloitte, Ernst & Young (EY), Gartner, IHS Markit, Investinet, Mather Economics LLC, Norfolk Southern, Northwestern Mutual Insurance, Resurgent Capital Services and Shellpoint Mortgage Servicing.

During their studies, students may also enroll in one of twelve workshops in data visualization and analytics. Palmetto Cluster, Clemson's high-performance computing resource, offers training in R and Python, among other things. The Clemson Center for Geospatial Technologies currently offers eleven free workshops in geographic information systems and enables students to earn certificates.

Please consult our handbook for comprehensive information about the M.S. in Economic Analytics. To request information not in the handbook, please contact the program's coordinator, Scott Templeton, Ph.D.

M.S. Informal Application

You can initiate your application process with this informal application. To complete a formal application for the program, apply online through the Graduate School.