The Master of Science in Public Policy and Management (Data Analytics Track) at Carnegie Mellon University prepares you to apply data analytics to public-sector decision-making. You’ll combine policy training with hands-on analytics to support evidence-based programs in government, nonprofits, and consulting.
The Master of Science in Public Policy and Management (Data Analytics Track) at Carnegie Mellon University equips students with the skills to leverage data analytics in public-sector decision-making. This program combines rigorous policy training with practical analytics, enabling graduates to contribute effectively to evidence-based initiatives in government, nonprofit organizations, and consulting firms.
Core learning areas
Example course topics (may vary by term)
Capstone / applied work
Students typically complete an applied learning component, such as a lab, project, or capstone work, that integrates analytics methods with a real-world policy or management challenge. For specific capstone or project requirements, refer to the programme handbook.
Admission to the program is based on your academic background, the strength of your application materials, and your alignment with the program's quantitative and policy focus. There are generally no specific GRE, GMAT, or minimum GPA cut-off requirements. If English proficiency is necessary for your application, you will need to provide evidence through an accepted test or alternative approved by the admissions office.
Graduates of the Master of Science in Public Policy and Management (Data Analytics Track) are well-prepared for careers in various sectors, including government agencies, nonprofit organizations, and consulting firms. The combination of policy knowledge and data analytics skills positions them as valuable assets in the evolving landscape of public decision-making and management.
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