Set yourself apart with a Master of Science in Quantitative Economics (MSQE) from UConn.

Gain the analysis and programming skills you need to advance your career in data science. Starting Fall 2023, courses will be offered at both the Storrs and Stamford campuses

The UConn MSQE is the only program of its kind in Connecticut, and one of only a handful in the United States.

Our students receive a strong foundation in economic theory, along with the practical skills needed for careers that require economic and data analysis. As an MSQE student, you’ll learn in small classes taught by nationally recognized faculty. You can also participate in a summer internship where you’ll gain real-world experience with a top company.

MSQE at a Glance

Benefits and Options

  • Three semester average completion time (full-time students)
  • Small class sizes
  • Close engagement with talented faculty
  • GRE/GMAT optional for admission
  • Core courses and electives in Machine Learning, Python, Financial Econometrics, Causal Program Evaluation, and Operations Research
  • Optional summer internship program
  • Students simultaneously earn a Certified Business Economist® (CBE) professional certification
  • Courses offered at both the Storrs and Stamford Campuses

Application Deadlines

Recommended Application Deadline

June 1, 2024

Final Application Deadline

July 24, 2024

The fall 2024 application is now open. Learn more and apply.

Outcomes and Careers

MSQE teaches marketable skills in economic decision making, statistics, data analysis, data visualization, and machine learning. Students learn relevant software and programming languages, like Python, R, and Stata. Alumni pursue successful careers as financial and data analysts, ML engineers, data scientists, and programmer analysts with top employers in Connecticut and beyond.

"The MSQE program gave me exposure to tools and skills used in the developing data science job market that I wouldn’t have had the opportunity to learn otherwise."

- Yuansun (Sonny) Jiang, Class of 2020

Read alumni testimonials

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