This Master of Science program in Quantitative Economics is offered jointly by the Economics Departments at NYU's Stern School of Business and the Graduate School of Arts and Sciences. It is designed for students aspiring to a research career in economics or seeking research-related employment in technology or finance. The program provides "core fitness" preparation for top doctoral programs or high-tech employment. The curriculum covers the fundamentals of microeconomics, macroeconomics, and econometrics, along with essential mathematical and data science tools. It progresses to advanced topics such as game theory, applied microeconomics and macroeconomics, finance, industrial organization, and international economics. A capstone experience allows students to engage in original research.
The program consists of six intensive terms of coursework over 10 months.
This program is ideal for those aspiring to pursue a research career in economics, or seeking research-related employment in the technology or finance sectors. It serves as excellent preparation for doctoral programs or high-tech industry roles.
The program is designed for students aiming for a research career in economics or research-related roles in tech or finance. "Core fitness" preparation for doctoral programs or high-tech employment is a key outcome.
Information on specific tuition amounts and fees is not available on the provided program page. Prospective students are advised to check the official NYU Graduate School of Arts and Science (GSAS) admissions website for the most up-to-date financial information.
The program consists of six intensive terms of coursework over 10 months, running from July to May.
This program prepares students for research careers in economics, research roles in technology or finance, or further doctoral studies.
A Bachelor's Degree is required. A strong quantitative background in mathematics, computer science, and applied statistics is recommended, similar to related programs.
You need to apply through the NYU Graduate School of Arts and Science (GSAS) Online Application Portal and submit required documents like transcripts, test scores, and letters of recommendation.
Specific tuition fees and living costs are not detailed on the program page; students should consult the official NYU GSAS admissions website for the most current financial information.
While not specified for this program directly, related programs like the MS in Data Science may offer competitive merit-based tuition scholarships to selected students.