Georgia Institute of Technology

What you'll study

The PhD in Public Policy Analysis combines advanced coursework in microeconomic theory, causal inference and econometrics with training in computational methods, policy design and empirical applications. Students take core courses that typically cover microeconomic foundations for policy, advanced econometrics and statistical methods for causal inference, plus classes in data science, machine learning for policy analysis, and policy-specific methods such as program evaluation and cost–benefit analysis.

• Core topics: microeconomic theory for public policy, advanced econometrics, causal inference, research design
• Quantitative and computational methods: big-data methods, statistical programming, machine learning, simulation and modelling
• Field concentrations: common applied areas include energy and environment, health policy, urban and regional policy, science and technology policy, and public finance
• Research seminars: students participate in reading groups and seminars focused on contemporary policy problems and methodological advances
• Research apprenticeship: students work closely with faculty on supervised research projects that feed into qualifying papers and dissertation topics

The programme emphasises an early transition to independent research. After completing required coursework students typically take a qualifying examination or submit a research portfolio/prospectus, after which they advance to dissertation research under the guidance of a supervisory committee. Teaching experience and participation in collaborative, interdisciplinary projects are common components of training.

Entry requirements

Admissions are competitive and seek applicants with strong quantitative preparation and demonstrated research potential. Successful applicants often hold a relevant master's degree or a strong bachelor's degree with coursework in calculus, linear algebra, statistics, and econometrics or related quantitative subjects. Typical application materials include:

• Academic transcripts showing quantitative coursework
• A research statement outlining interests and potential dissertation topics
• Letters of recommendation from academic or research supervisors
• A current curriculum vitae detailing research experience and relevant employment
• Proof of English language proficiency where required

Experience with statistical programming (for example R or Python), prior research assistantships or publications strengthen an application. Applicants should consult the School of Public Policy admissions page for any programme-specific documentation and for policies on standardised tests.

Career prospects

Graduates of the PhD in Public Policy Analysis pursue careers across academia, government, international organisations, think tanks and the private sector. Typical roles include:

• University faculty and academic researchers in public policy, economics, and related fields
• Research scientists and policy analysts at national and local government agencies
• Senior analysts and programme evaluators at think tanks and NGOs
• Data scientists, policy strategists and research leads in industry and consulting firms working on regulated sectors or public-interest problems
• Positions in international organisations addressing development, health, trade and environmental policy

The programme’s emphasis on causal inference, econometrics and computational techniques equips graduates to carry out rigorous impact evaluations, design evidence-based policy interventions and contribute to interdisciplinary teams addressing complex societal challenges.

Why study at Georgia Institute of Technology

Georgia Institute of Technology offers a distinctive environment for public policy research with a strong emphasis on quantitative and computational approaches. The School of Public Policy is integrated within a research university renowned for strengths in engineering, computing and applied sciences, enabling cross-disciplinary collaboration on technological and urban policy issues.

• Interdisciplinary connections: students can collaborate with faculty in economics, computer science, engineering and public health to develop methodological and applied research.
• Access to research infrastructure: opportunities for working with large administrative datasets, computational resources and applied labs enhance empirical research capacity.
• Location advantages: based in a major metropolitan area, students benefit from proximity to government agencies, industry partners and regional organisations for applied projects and internships.
• Faculty expertise: the school’s faculty conduct research on energy and environment, technology policy, urban systems and health policy, providing a range of dissertation supervision options.

Overall, the PhD in Public Policy Analysis at Georgia Tech is well suited to students who want rigorous methodological training combined with opportunities for applied, interdisciplinary research that informs real-world policy decisions.