The M.Sc. Public Policy and Management – Data Analytics at Carnegie Mellon University is a quantitatively focused programme that applies data science to public-sector decision-making. You’ll learn to combine policy analysis with analytics methods to design evidence-based solutions for complex societal challenges.
The Master of Science in Public Policy and Management with a focus on Data Analytics at Carnegie Mellon University is designed for those looking to leverage data science in the realm of public sector decision-making. This quantitatively driven program aims to equip students with the skills necessary to analyze policies and implement data-informed solutions to address complex societal issues.
The curriculum integrates core policy and management principles with specialized analytics coursework. Students engage in a structured sequence of classes complemented by hands-on projects and data-centric assignments.
Note: The availability and sequence of specific modules may vary each academic year; students should consult the latest degree plan with the university.
Admission to the program typically considers the applicant's academic background, the quality of application materials, and alignment with the program’s quantitative and policy-oriented focus. There are generally no specific GRE, GMAT, or GPA cut-off requirements.
Graduates of the M.Sc. in Public Policy and Management – Data Analytics can look forward to diverse career opportunities in government agencies, non-profit organizations, and private sector firms focused on public policy. The skills acquired in analytics and decision-making prepare students for roles that require evidence-based analysis and strategic planning.
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