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Department of Economics | MS in Quantitative Economics

Master of Science in Quantitative Economics

NYU’s Master of Science in Quantitative Economics is a cutting-edge program for students with research-oriented ambitions in economics, such as a demanding doctoral program, or employment in technology, finance and research in both the private or public sectors. Drawing on the combined resources of the Economics Departments of the Faculty of Arts and Science and NYU’s Stern School, the MS in Quantitative Economics is streamlined and sequenced to get you where you need to go with maximal stimulation, speed and efficiency.

Our ten month program starts with the fundamentals of microeconomics, macroeconomics and econometrics, supplemented by the mathematical and data science tools needed for investigating and applying each of those fields. Then game theory, applied microeconomics, finance and open economy considerations are introduced. The final two modules include a “capstone experience” in which students choose one of two paths toward original research.

If you are ultimately headed for a top doctoral program in economics, the timing of our program was designed for you. Starting in July and ending in May, it offers a wealth of challenging material while moving you toward beginning the PhD in one academic year. Our STEM certified MS in Quantitative Economics is taught in intensive six-week modules. It allows you to interact with over 20 leading faculty members through coursework alone. By the time you are looking for recommendation letters at the end of November, you will have completed eight courses with eight instructors who can write the kind of informative letters that doctoral admissions committees (and prospective employers) take seriously. NYU’s MS in Quantitative Economics is a superb program in an exciting university, in one of the world’s greatest cities.

If you feel driven to do research, or seek out a demanding career that will use your analytical skills, consider applying to the MS in Quantitative Economics at NYU.