- Degree
- Master of Science in Data Science for Public Policy
- Course location
- Berlin
- Teaching language
- • English
- Languages
- English is the official language of instruction at the Hertie School. Students do not need to be able to speak German.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- 1 December 2025: early-bird deadline*
15 January 2026: non-EU priority deadline
15 February 2026: EU priority deadline
1 May 2026: final application deadline
*Students who submit their application by 1 December will automatically receive a tuition waiver, which can also be combined with other scholarships.
Before submitting your application, remember to carefully read our admission requirements (https://www.hertie-school.org/en/mds/admissions?utm_source=daad&utm_medium=referral&utm_campaign=degreedatabases).
- Tuition fees per semester in EUR
- 9,625 EUR
- Additional information on tuition fees
- Tuition for the two-year MDS programme at the Hertie School is currently 38,500 EUR (9,625 EUR per semester).
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Master of Data Science for Public Policy (MDS) (https://www.hertie-school.org/en/mds?utm_source=daad&utm_medium=referral&utm_campaign=degreedatabases) is a two-year, full-time programme taught entirely in English that brings together students from both technical and social science backgrounds in order to deepen their analytical skills and develop an in-depth understanding of the policy world. Learning how to leverage AI's transformative capabilities and data science-based decision-making is fundamental to the programme. If you are passionate about turning data into responsible decisions in order to tackle some of the world's most complex challenges across all sectors, then this programme is for you.
Combine data science with public policy
Students begin their studies building a foundation in data science with courses such as data structures and algorithms while simultaneously engaging with the fundamentals of public policy.
Over the course of eight connected modules that emphasise practical training and professional development, students broaden their skills in data science, ethical decision-making, good governance and leadership.
Students also have the opportunity to take courses from a wide portfolio of electives to expand their knowledge in data science, public policy and even international affairs. These courses give students the knowledge, concepts and tools required to write their Master’s theses on concrete problems in the broader field of data science.