Master of Data Science and AI for Public Policy

The Master of Data Science and AI for Public Policy at the Hertie School is a comprehensive two-year programme designed to equip students with the analytical tools necessary to address complex global challenges. The curriculum integrates foundational data science, such as algorithms and machine learning, with core public policy modules including economics, law, and governance. Students are expected to engage in practical training and professional development, culminating in a master's thesis that applies data-driven insights to real-world policy problems. The programme fosters an interdisciplinary environment, preparing graduates to lead in government, business, and civil society sectors.

• Complete foundational coursework in data structures, algorithms, and public policy processes.
• Develop advanced skills in machine learning, causal inference, and mathematics for data science.
• Participate in practical training modules focused on ethical decision-making and leadership.
• Undertake a mandatory summer internship between the first and second years of study.
• Conduct independent research and write a master's thesis on a concrete policy-related problem.
• Engage in professional development activities and optional professional year opportunities.