Details at a Glance
The Hertie School's Master of Data Science for Public Policy (MDS) brings together passionate students from both technical and social science backgrounds to deepen their analytical skills and develop an in-depth understanding of the policy world. During this two-year master's they learn how to leverage algorithmic decision-making to tackle some of the most complex challenges of our time with data-driven solutions.
If you want to learn how to turn data into responsible solutions across all sectors, then this program is for you. At the Hertie School in Berlin, the worlds of policy and data intersect in and outside the classroom, empowering you to build a unique profile for your career from day one.
Get a head start on your career
The MDS curriculum juxtaposes data structures, algorithms and machine learning with public policy, economics, law and governance with a highly practical focus that also integrates career development. In addition to cultivating soft skills in two professional development workshops, MDS students will complete a summer internship between their first and second year of study. Those who wish to gain even more work experience may apply for a Professional Year. To help students meet future employers, the school has established relationships with a range of institutions such as ministries, international companies and NGOs.
At the Hertie School, we know that career planning is a lifelong matter. Our dedicated career team is here for you – both during your time at the Hertie School and after you graduate. Schedule a one-on-one career counselling session, and take part in group workshops, alumni panels and other exclusive events.
Admission to the MDS programme is based on three criteria:
Strength of academic background, academic performance - grades/transcripts, general academic qualification, linguistic qualification.
Quantitative and technical ability
Understanding of statistics, mathematics, and/or programming, as proven through a relevant degree, coursework, or extracurricular activities (e.g. competitions in programming, hackathons, personal data-related projects, and research).
Personal suitability and motivation
CV, professional experience, entrepreneurship, international experience, civic engagement.
Admission offers and scholarships are awarded on a rolling basis. Applicants who seek financial aid are encouraged to apply by the priority deadline.
Priority deadline: 1 February
Final deadline: 1 June