Mannheim Master’s degree in Social Data Science (MMSDS)
The Mannheim Master’s degree in Social Data Science (MMSDS) is a prestigious full-time graduate program designed for students aiming to expand their expertise at the intersection of social sciences and data analytics. This international program equips students with advanced skills in data management, statistical analysis, and computational methods, preparing them for leadership roles in research, policy, and business. The curriculum spans four semesters and admits students exclusively in the winter semester.
Located in Mannheim, a leading academic and economic hub in Germany, the MMSDS emphasizes both methodological rigor and practical application. Students gain hands-on experience with large-scale data sets, empirical research, and interdisciplinary projects, while benefiting from international networking opportunities. The program reflects Germany’s tradition of combining academic excellence with real-world relevance, making it an ideal choice for those seeking to apply social data science in global contexts.
Key information
Key Facts
- Degree: Master (M.Sc.)
- Standard period of study: 4 semesters
- Location: Mannheim
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Social Sciences, Political Science, Psychology, Media Studies, Business Administration, Economics
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Social Data Science
- Introduction to Social Data Science
- Quantitative Research Methods
- Data Management and Cleaning
- Statistical Programming (R/Python)
Semester 2 – Advanced Methods & Analytics
- Survey Methodology and Sampling
- Machine Learning for Social Sciences
- Data Visualization & Storytelling
- Collaborative Project I (empirical research project)
Semester 3 – Specialization & Applied Practice
- Big Data Analysis & Computational Social Science
- Ethics, Privacy, and Policy in Data Science
- Project Management & Team Leadership
- Collaborative Project II (industry-partnered project)
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Analytical Thesis
- Applied Data Science Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of this program are prepared for a wide range of roles within the global social data and research sectors. Career paths include Social Data Analyst, Survey Methodologist, Policy Analyst, User Experience Researcher (UXR), Data Scientist, and Research Consultant. With Mannheim’s strong academic environment and international networks, students gain excellent opportunities to collaborate with research institutes, governmental agencies, and private organizations worldwide.
Why Choose This Program
Choosing the Master’s degree in Social Data Science (MMSDS) means joining a program that combines academic excellence with applied research practice. The program equips students with multidisciplinary knowledge, practical analytical skills, and international perspectives. Students benefit from expert faculty, state-of-the-art statistical tools, and strong industry and research partnerships, preparing them to tackle complex social and economic challenges with data-driven solutions.
The program’s unique strength lies in its integration of social sciences, computational methods, and hands-on data analysis. Students not only master cutting-edge statistical and computational techniques but also develop the critical thinking, research design, and collaborative skills needed to excel in the global data science arena.
Contact Information
University of Mannheim – Student Advisory Service
L1, 1
68161 Mannheim, Germany
Tel: +49 621 181-2222
Fax: +49 621 181-1176
Email: studium@uni-mannheim.de
Programme Contact – Mannheim Master’s in Social Data Science
Mannheim Business School gGmbH
L5, 6
68131 Mannheim, Germany
Tel: +49 621 181-3427
Email: info.mmsds@mannheim-business-school.com
International Office – University of Mannheim
L1, 1
68161 Mannheim, Germany
Tel: +49 621 181-1151
Fax: +49 621 181-1161
Email: io@uni-mannheim.de
