Carnegie Mellon University

USA
4 Scholarships 84 Programs 3 Degree levels
Masters

Master of Science in Public Policy and Management - Data Analytics Track

DegreeMasters
FieldMS Public Policy & Management (Data Analytics)
Duration2 years
Tuition57420.00

Overview

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.

About this programme

Overview

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.

What you'll study

Core learning areas

  • Policy analytics and evidence-based decision-making
  • Data science foundations for public-sector applications
  • Machine learning and optimization for policy problems
  • Communication and writing for public policy audiences
  • Applied programming and data management

Example course topics (may vary by term)

  • Machine Learning for Public Policy Lab
  • Practical Unstructured Data Analytics
  • Data Science and Big Data
  • Artificial Intelligence
  • Decision Analysis and Multi-criteria Decision Making
  • Database Management for Policy Analytics
  • Optimization and Decision Modeling for Analytics
  • Accounting and Finance Analytics
  • Python Programming
  • Applied Econometrics
  • Applied Economic Analysis
  • Organizational Design and Implementation
  • Writing for Public Policy
  • Strategic Presentation Skills

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.

Entry requirements

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.

Career prospects

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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Programme details are indicative and may change — always verify current information with the official university website before applying.