Georgia Institute of Technology

What you'll study

The programme emphasises applied microeconomic theory, econometric methods and quantitative tools for economic analysis. Core topics commonly covered include advanced microeconomics, macroeconomic theory, applied econometrics and causal inference. Students typically study modules in microeconometrics, time series analysis, game theory, industrial organisation, public economics, labour economics, international trade and development economics.

Coursework mixes theoretical foundations with practical data work: scripting in statistical languages (R, Python or Stata), empirical project work, and the use of large administrative or survey datasets. The curriculum usually offers a choice between a thesis or a non‑thesis option (research project or practicum), and students select electives to tailor their training toward policy analysis, industry applications or preparation for doctoral study.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in economics, mathematics, statistics, engineering, computer science or a closely related field. A strong background in calculus, linear algebra and probability/statistics is normally required, and prior coursework in intermediate microeconomics, macroeconomics and introductory econometrics is advantageous.

Typical application materials include academic transcripts, a statement of purpose that outlines research or career goals, letters of recommendation, and a curriculum vitae. Some applicants may submit GRE scores if required by the department; requirements for standardised tests can vary, so applicants should consult the department for current guidance. Practical experience with statistical software and programming is recommended and can strengthen an application.

Career prospects

Graduates pursue a range of roles across the public, private and non‑profit sectors. Common destinations include economic policy and analysis positions in government agencies and central banks, research and advisory roles in think tanks, and consulting in economic and strategy consultancies. The quantitative training also prepares graduates for roles in finance and risk management, data science and analytics teams within tech and industry, and positions in international organisations.

For students aiming at academia, the Master’s provides a solid foundation for PhD programmes in economics or related quantitative social sciences. Many students also take advantage of internships and industry collaborations in Atlanta and beyond to move directly into applied roles after graduation.

Why study at Georgia Institute of Technology

Georgia Tech combines strong quantitative training with access to interdisciplinary resources across a large research university. Students benefit from collaboration opportunities with the Scheller College of Business, computer science and engineering departments, and research centres that focus on applied economics, labour markets and urban policy.

Located in Atlanta, the institute provides proximity to government agencies, multinational corporations, consulting firms and a growing technology sector, which supports internship and employment routes. The department’s faculty are active in applied econometrics and policy‑relevant research, offering students opportunities to work on empirical projects and to gain hands‑on experience with contemporary data and methods.