The PhD in Public Policy Analysis at the University of Michigan is a research-focused doctoral programme designed to train scholars in rigorous quantitative and qualitative methods for analysing public policies and institutions. It suits applicants who want to pursue academic research, high-level policy research, or leadership roles in government, think tanks and international organisations.
The PhD programme emphasises core analytic skills, substantive policy knowledge and original research. Students complete advanced coursework in microeconomic theory, public economics, econometrics and causal inference, statistics for policy analysis, and research design. Training also covers political institutions, implementation and programme evaluation, comparative public policy, and specialised substantive areas such as health policy, education policy, environmental policy, social policy and urban policy.
Typical programme structure includes an initial period of core coursework to build a rigorous methodological foundation, followed by elective courses and seminars focused on substantive fields. Students prepare and pass qualifying examinations or research milestones, produce a field paper or prospectus, and then devote the remainder of the programme to dissertation research under faculty supervision. Methods training often includes hands-on work with administrative data, experimental and quasi-experimental designs, and computational tools used for large-scale data analysis.
Successful applicants normally have a strong academic record and demonstrated preparation for advanced quantitative and theoretical work. Typical expectations include:
Applicants should consult the Ford School and Rackham Graduate School admissions pages for the most current application materials and any test requirements or waivers.
Graduates from this PhD typically pursue careers in academic research and teaching in public policy, economics, political science and related fields. Many find positions as policy researchers or senior analysts at government agencies, central banks, international organisations (for example, the UN, World Bank or regional development banks), and leading think tanks. Other common career paths include research and data science roles in non-profit organisations, consultancy firms, and private-sector policy or strategy teams. The programme’s emphasis on causal inference and empirical skills also prepares graduates for quantitative roles in technology companies and research-driven enterprises.
The doctoral programme is housed within the Gerald R. Ford School of Public Policy and benefits from the University of Michigan’s broad interdisciplinary strengths. Students can draw on complementary expertise across departments such as economics, political science, public health, social work and law, and on research centres that focus on poverty, education, environment and urban governance. The university provides strong research supports through the Rackham Graduate School, extensive data and library resources, and opportunities for collaboration with policy practitioners in Michigan and beyond. Faculty at the Ford School are active in empirical policy research and mentoring doctoral students through collaborative projects and supervisory committees.
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