Data Science for Public Policy, Master of Science

On-campus program @ Hertie School 

👉 The Master of Data Science for Public Policy (MDS) at the Hertie School is a two-year programme designed for students with a technical or social science background who wish to enhance their analytical skills. This programme provides comprehensive knowledge of the policy-making process, data protection measures, and advanced data science skills. In addition to studying mathematics, students are trained in machine learning, causal relationships, and data structures. By the end of the programme, graduates are able to develop data-driven solutions and implement them responsibly.

At a Glance

🏫 University Hertie School, University based in Berlin
🎓 Field of Study Social SciencesPolitical Science
📜 Degree Master of Science (M.Sc.)
⏳ Duration 4 Semesters
🎯 ECTS 120 Credit Points
🌍 Language of Instruction English
📖 Course contents Machine learning, Introduction to data science, Public policy, Economics, Mathematics for data science, Causal inference, Data structures and algorithms, Law and governance, Internship, Data Science concentration electives, Governance and Management for Data Science electives, Portfolio electives: Expand your policy and data science portfolio, Master’s thesis
📚 Electives Deep learning, Data science and decision making
📍 Location Berlin
📅 Enrollment Winter semester
💶 Fees
from 1428 € monthly
from 34500 € total
🔗 More Info https://www.hertie-school.org

Admission requirements

Applicants must have a first academic degree (B.A.) or an international equivalent. If you do not yet have a first degree, please indicate when you will obtain it when applying. The degree must be obtained by August 31 at the latest in order to be able to start the program on September 1. All applicants must be proficient in the English language and be able to confirm this with a corresponding certificate or by demonstrating native speaker proficiency.

Details

The Master of Data Science for Public Policy (MDS) at the Hertie School in Berlin trains a new generation of decision-makers who know how to combine political strategies with data to develop solutions for government, civil society, and business. This two-year programme is designed for students with technical and social science backgrounds who want to deepen their analytical skills.

In the first year, students learn the basics of the policy decision-making process as well as the principles of legislation and administration. At the same time, they are trained in essential mathematical concepts, statistical programming, and data structures. The practical course content provides an in-depth analysis and understanding of the various actors and their influences on policy-making.

In the second year, the focus is on advanced skills in data science such as Deep Learning and Natural Language Processing. Finally, students write a master's thesis that offers a data-driven solution to a political or social issue.

The Hertie School provides modern teaching resources such as a supercomputer and a makerspace to support students in their projects as best as possible. Graduates are well prepared to develop and implement responsibly data-driven solutions.

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