MDS

Master of Data Science for Public Policy and Management

Master of Data Science for Public Policy and Management (MDS) is designed to nurture professionals who are adept in public data analysis to better address challenges in the fourth industrial revolution and the digital era. By integrating advanced data science methods like machine learning and network analysis into policy analysis and decision-making, graduates can contribute to more effective evidence-based policymaking.
The program is run on a full-time basis, specifically tailored for practitioners in the public sector or graduates seeking to enter or advance their careers in the public sector, such as public agencies, research institutes, or international organizations.

Academic Goals

• Foster policy experts in data science for the fourth industrial revolution and the digital transformation era
• Enhance evidence-based policymaking and policy analysis through advanced data science methods, such as network analysis, machine learning, and artificial intelligence

Program Characteristics

• A curriculum that incorporates modern data science techniques, equipping students with vital skills for contemporary policy challenges
• An interdisciplinary approach that spans Economics, Political Science, Public Administration, Sociology, and International Development
• A focus on applying data science methods to real-world policy issues, leveraging the faculty’s expertise from academia and industry

Program Specific Concentrations

Data Science for Public Policy and Management

Selected Courses List