Program Overview

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Quantitative Economics (MS)

The Master of Science in Quantitative Economics is a cutting-edge program for students with research-oriented ambitions in economics. 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 students where they need to go with maximal stimulation, speed, and efficiency.

Program Description

NYU’s interdisciplinary Master of Science in Quantitative Economics is designed 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. The 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.

Taxonomy Codes

• NYSED: 41911
• HEGIS: 0506.00
• CIP: 45.0603

Admissions

All applicants to the Graduate School of Arts and Science (GSAS) are required to submit the general application requirements, which include:

• Academic Transcripts
• Test Scores (if required)
• Applicant Statements
• Résumé or Curriculum Vitae
• Letters of Recommendation
• A non-refundable application fee

Program Requirements

The program requires the completion of the following courses:

• Major Requirements:
  • ECON-GA 4011: Mathematical Methods for Economists I (1.5 credits)
  • ECON-GA 4012: Mathematical Methods for Economists II (1.5 credits)
  • ECON-GA 4021: Data and Computation I (1.5 credits)
  • ECON-GA 4022: Data and Computation II (1.5 credits)
  • ECON-GA 4031: Microeconomics I (1.5 credits)
  • ECON-GA 4032: Microeconomics II (1.5 credits)
  • ECON-GA 4041: Macroeconomics I (1.5 credits)
  • ECON-GA 4042: Macroeconomics II (1.5 credits)
  • ECON-GA 4043: Macroeconomics III (1.5 credits)
  • ECON-GA 4044: Macroeconomics IV (1.5 credits)
  • ECON-GA 4051: Game Theory I (1.5 credits)
  • ECON-GA 4052: Game Theory II (1.5 credits)
  • ECON-GA 4061: Applied Microeconomics I (1.5 credits)
  • ECON-GA 4062: Applied Microeconomics II (1.5 credits)
  • ECON-GA 4071: Econometrics I (1.5 credits)
  • ECON-GA 4072: Econometrics II (1.5 credits)
  • ECON-GA 4121: Research Practicum I (1.5 credits)
  • ECON-GA 4122: Research Practicum II (1.5 credits)
• Electives: Other Elective Credits (6 credits)
• Total Credits: 33

Sample Plan of Study

The sample plan of study is as follows:

• 1st Semester/Term:
  • ECON-GA 4011: Mathematical Methods for Economists I (1.5 credits)
  • ECON-GA 4012: Mathematical Methods for Economists II (1.5 credits)
  • ECON-GA 4021: Data and Computation I (1.5 credits)
  • ECON-GA 4031: Microeconomics I (1.5 credits)
• 2nd Semester/Term:
  • ECON-GA 4032: Microeconomics II (1.5 credits)
  • ECON-GA 4041: Macroeconomics I (1.5 credits)
  • ECON-GA 4042: Macroeconomics II (1.5 credits)
  • ECON-GA 4051: Game Theory I (1.5 credits)
  • ECON-GA 4061: Applied Microeconomics I (1.5 credits)
  • ECON-GA 4071: Econometrics I (1.5 credits)
  • ECON-GA 4072: Econometrics II (1.5 credits)
  • ECON-GA 4121: Research Practicum I (1.5 credits)
• 3rd Semester/Term:
  • ECON-GA 4022: Data and Computation II (1.5 credits)
  • ECON-GA 4052: Game Theory II (1.5 credits)
• 4th Semester/Term:
  • ECON-GA 4043: Macroeconomics III (1.5 credits)
  • ECON-GA 4044: Macroeconomics IV (1.5 credits)
  • ECON-GA 4062: Applied Microeconomics II (1.5 credits)
  • ECON-GA 4073: Econometrics III (1.5 credits)
  • ECON-GA 4082: Industrial Organization II (1.5 credits)
  • ECON-GA 4091: Computational Dynamics (1.5 credits)
  • ECON-GA 4111: Financial Economics (1.5 credits)
  • ECON-GA 4122: Research Practicum II (1.5 credits)

Learning Outcomes

The main purpose of the program is to develop strong analytical and conceptual skills that can be applied to a subsequent PhD in economics or finance, or conceivably to top-level placements in a quantitative industry or policy position. Additionally, graduates will:

1. Be provided with a strong quantitative economics training and skill development in preparation for advanced research in Economics, with emphasis on the acquisition of analytical techniques in economic theory, econometrics, and mathematics.
2. Develop deep skills in modern computational and econometric tools and management of economic data at the graduate level.
3. Be familiarized with the research frontier in applied economics, developing skills to apply their research by working on research projects and in diverse teams throughout the program.

Policies

• NYU Policies: University-wide policies can be found on the New York University Policy pages.
• Graduate School of Arts and Science Policies: Academic Policies for the Graduate School of Arts and Science can be found on the Academic Policies page.