Programs

MS Quantitative Economics

About MS Quantitative Economics

About MS Quantitative Economics

The MS in Quantitative Economics delivers structured thinking about empirical problems and incentives. The program integrates econometrics, machine learning, experimentation, and the hands-on analysis of real-world data, guided by Economic Theory. Our intensive MS in Quantitative Economics is ideal for those looking to obtain advanced skills for careers in the private and public sectors, or ramp up quantitative skills for PhD programs.

Our full-time, ten-month MS in Quantitative Economics program prepares students for careers working in big data environments. Students enjoy small classes, with courses taught by nationally recognized scholars dedicated to student success. Our Learn by Doing culture fosters close connections with faculty and provides the mentorship necessary to gain mastery of key economics-based quantitative and consulting tools and understand the role of economic analysis in a tech driven environment in both private and public organizations. Our graduates go on to secure jobs as Economists, Analytic Consultants, Data Analysts and Data Scientists in Consulting, Finance, Banking, Technology, Governmental Organizations, and Academia.

Do know that due to the Covid-19 crisis, submitting GRE test scores is not an application requirement for Fall 2021.

The MS in Quantitative Economics is a STEM-certified program (CIP Code 45.0603: Econometrics and Quantitative Economics), and students in this program can apply for a two-year extension of their Optional Practical Training (OPT) work authorization, granting them a total of three years of work authorization.

Application /
Important Dates

  • Apr 1, 2021

    Application Deadline for Fall 2021 (International Applicants)

  • Jun 1, 2021

    Application Deadline for Fall 2021

Key Features

Curriculum

Curriculum informed by industry needs

The MS in Quantitative Economics curriculum places special emphasis on providing students with a comprehensive analytical toolkit rooted in economic theory, which puts emphasis on: (1) the identification of cause-and-effect relations in real-world data, (2) a careful evaluation of the economic impact of the decisions that organizations make, and (3) the optimality of the decision that is ultimately made.

We developed and refined our curriculum in consultation with an Advisory Task Force of leading Economists, Consultants and Data Scientists from Amazon, Google, OnPoint Analytics, Spotify, DevTech, Streamlit and Zillow.

Student Faculty Research

Students work closely with faculty from the start

Students have the opportunity to work with professors on empirical research projects very early on in the program. This is a unique experience that allows students to immediately see the practical power of of the training they are receiving.

Career Fair

Outstanding job placements

Economists are among the top five highest paid professions for individuals with master’s degrees, which means outstanding job placement for our MS Economic students in the market for quantitatively oriented professionals in both the private and the public sectors – from Booz Allen Hamilton, Hulu, Oracle, Uber and Visa to the U.S Army Corps of Engineers, the California Air Resources Board, to top Ph.D. programs offered by Universities such as the University of Minnesota and UC Santa Barbara.

Read more about our outstanding job placement record.

Faculty

Matthew Cole

Associate Professor of Economics

Garland Durham

Garland Durham

Associate Professor of Finance

Stefanie Fischer

Assistant Professor of Economics

Eric Fisher

Professor of Economics

Carlos Flores

Carlos Flores

Professor of Economics

Steve Hamilton

Steve Hamilton

Professor of Economics

Jonathan James

Jonathan James

Associate Professor of Economics

Jason Lepore

Jason Lepore

Professor of Economics

Aric Shafran

Aric Shafran

Professor of Economics and Economics Area Chair

Eduardo Zambrano

Professor of Economics and MSQE Program Director

Curriculum Overview

Advanced economic theory, experimentation, econometrics, machine learning and programming skills are fundamental skills any modern economists needs to master, regardless of whether you want to work on the private sector, the public sector, or at...

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Program Specifics

The MS in Quantitative Economics delivers structured thinking about empirical problems and incentives. The overarching goal of the program is to teach students to work with data in novel, unstructured environments, under conditions of ambiguity, and guided by Economic Theory. During the program, students attain mastery of state-of-the-art quantitative economics...

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Student Profiles

Ben Koos

Ben Koos,
MS Quantitative Economics

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Reed Kamsler

Reed Kamsler,
MS Quantitative Economics

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MacKenzie Smith

MacKenzie Smith,
MS Quantitative Economics

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