Master of Science in Applied Economics

The master of science (MS) in applied economics provides students with the tools needed to succeed as economists in today's data-driven world. The program teaches students how to draw meaningful implications from economic data, to apply economic theory and quantitative methods to answer real-world policy questions, and to integrate economic analysis into their professional lives.

The program helps students develop the ability to communicate ideas through coursework, workshops, and intensive data and economic analysis. The program is offered both full- and part time to accommodate students work schedules. Graduate certificate programs in areas such as data science, budget and public finance, accountancy, financial management, and digital marketing may be pursued simultaneously.

Graduates of the applied economics program are prepared for positions as economic analysts in government, private consulting firms, financial institutions, international organizations, and applied policy research institutions. Coursework integrating academic scholarship with hands-on research and data projects prepares graduates to enter the job market with proven skills to succeed as economists in today's data-driven world.

Program students come from the United States and around the world and are a mix of recent graduates and students with years of work experience.

Transcripts are required from all colleges and universities attended, whether or not credit was earned, the program was completed, or the credit appears as transfer credit on another transcript. Unofficial transcripts from all colleges and universities attended must be uploaded to your online application. Official transcripts are required only of applicants who are offered admission. If transcripts are in a language other than English, English language translations must be provided.
Minimum scores for the program are:
Academic IELTS: an overall band score of 6.0 with no individual score below 5.0,
TOEFL: 550 on paper-based or 80 on Internet-based,
PTE Academic: 53.