Applied Economics & Data Analytics M.S.

The MS-AEDA is designed to provide graduate-level analytical training that will prepare and enhance students’ skills for professional careers in business, banking, consulting, government, research, and nonprofit organizations. The MS-AEDA is designed to balance economic theory with cutting-edge data analytics and practical applications drawing from a range of elective fields.

In addition to the 16-credit core curriculum, students complete elective courses for a minimum of 45 credits. The core courses cover the fundamentals of advanced microeconomics, macroeconomics, applied econometrics, and econometric theory with practical training on data analysis using R, Phyton, and Stata. The elective courses allow students to tailor their education to specific interest and acquire a diverse skill set valuable in today’s dynamic job market. Finally, students will also have 9 credits of research, reading and conference. This allocation includes 3 credits (Ec 505) throughout the regular academic year, providing opportunities for meetings with the Program Director (to be defined below) to discuss and refine research ideas. This preliminary phase aims to lay a robust foundation for the substantial 6-credit (Ec 506) commitment during the summer term, where students will actively pursue and develop their final research project in a more structured and immersive manner. This integrated approach ensures a thoughtful and progressive exploration of research endeavors.

Admission Criteria:

● College transcript from a completed bachelor’s degree

● Overall GPA of 3.0 or higher (on a 4.0-point scale). If the GPA is below 3.0, students may be admitted provided they show promise based on grades in economics, statistics, and/or math courses.

● Resume

● GRE/GMAT scores are not required

● Completed undergraduate courses in calculus, microeconomics, macroeconomics, business and statistics (P/NP is allowed). Demonstrated knowledge or experience in related courses can be considered for admission purposes.

● Application essay

● Two letters of recommendation

Total Credit Hours: 45