Overview
The Mannheim Master in Social Data Science offers a unique interdisciplinary curriculum that stands out in Germany. With a focus on Sociology, Political Science, Business Informatics, and Mathematics, this master's programme enables students to engage with pressing social science questions. The programme is designed to equip students with the skills to collect, organise, and analyse extensive datasets using appropriate methodologies and tools to derive insights relevant to social sciences.
Why Social Data Science at University of Mannheim?
The University of Mannheim is renowned for its academic excellence and innovative research. It boasts strong interdisciplinary collaboration among its faculties, providing students access to top-tier courses across various disciplines. The university's global network includes partnerships with over 450 institutions worldwide, enriching the academic experience and offering numerous opportunities for international exposure. The small class sizes, with around 55 students in the programme, ensure a favourable student-to-teacher ratio, fostering personal interaction and tailored support from faculty members.
Careers with Social Data Science
Graduates of the Mannheim Master in Social Data Science find themselves in high demand across various sectors. They may pursue careers as data scientists in both national and international companies, as well as in the public sector. The skills acquired during the programme prepare them for roles in marketing, logistics, production, and academia. The School of Social Sciences is also developing a Social Data Science track at the Centre for Doctoral Studies in Social and Behavioural Sciences, providing further academic opportunities for graduates.
Programme Structure
Courses include:
- Data Science
- Data Science Methods
- Advanced Data Science Methods
- Data Science Applications
- Master's Thesis
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Mannheim, Germany
Disciplines
Data Science & Big Data View 75 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completion of a bachelor’s program in Social Sciences (in particular Sociology, Political Science, Psychology, or Media and Communication Studies) or Business Administration or Economics or a program recognized as equivalent by the admissions committee, completed with a grade of “good” or better (equivalent to the German grade of 2.5) at a German higher education institution or abroad (also Berufsakademie) and corresponding to at least 180 ECTS credits or a regular period of study of at least three years.
- In addition to your application documents, you must submit an essay in English of 5,000 to 10,000 words with a subject-specific focus on Data Science, Social Sciences, Political Sciences or Economics or Business Administration. The text must comply with the general rules for academic writing and research.
Student Insurance via Studyportals Partner
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Tuition Fees
-
International Applies to you
Applies to youNon-residents3000 EUR / year≈ 3000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
- Semester fee: EUR 204,30
Living costs
Mannheim
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Social Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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