Master
English
Social Sciences
Social and Economic Data Science (SEDS) – Master of Science
Master
About the Program
The SEDS programme at the University of Konstanz combines cutting-edge research with a hands-on approach to the study of social and economic data. It is designed for students who want to gain a deep understanding of complex societal challenges and learn how to address them with advanced analytical tools. Throughout the programme, you will acquire strong foundations in data science, social science theory, and methodological skills. Our interdisciplinary curriculum allows you to explore economic behaviour, social dynamics, and political processes through the lens of modern data analysis. Whether in courses, research projects, or different collaborations, you will be trained to think critically, work across disciplines, and translate data into meaningful insights. By the end of your studies, you will be equipped with the expertise to pursue careers in academia, policy-making, or data-driven industries. The MSc in Social and Economic Data Science is ideal for students from social and behavioural sciences with a strong interest in quantitative and computational methods. A background in one of the following areas is recommended: Political Science Computer Science Economics Statistics Mathematics Psychology Sociology
▶ Show the original English text
The SEDS programme at the University of Konstanz combines cutting-edge research with a hands-on approach to the study of social and economic data. It is designed for students who want to gain a deep understanding of complex societal challenges and learn how to address them with advanced analytical tools. Throughout the programme, you will acquire strong foundations in data science, social science theory, and methodological skills. Our interdisciplinary curriculum allows you to explore economic behaviour, social dynamics, and political processes through the lens of modern data analysis. Whether in courses, research projects, or different collaborations, you will be trained to think critically, work across disciplines, and translate data into meaningful insights. By the end of your studies, you will be equipped with the expertise to pursue careers in academia, policy-making, or data-driven industries. The MSc in Social and Economic Data Science is ideal for students from social and behavioural sciences with a strong interest in quantitative and computational methods. A background in one of the following areas is recommended: Political Science Computer Science Economics Statistics Mathematics Psychology Sociology
General Requirements
Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.
Academic qualification
A recognised Bachelor's degree in a related field; some programs require a minimum grade or specific prerequisites.
Language
English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.
Typical documents
- Recognised diploma and transcript (certified translations)
- Language certificate
- Passport and passport photo
- Tabular CV (Lebenslauf)
- Letter of motivation (for many programs)
- Application via uni-assist / VPD (for most international applicants)
Which Professions Does This Program Open Up?
Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:
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Political Science
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How do I apply to Social and Economic Data Science (SEDS) – Master of Science at Universität Konstanz?
Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.
- Check requirements — Verify your degree is recognised + meet language/grade thresholds.
- Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
- Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
- Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
- Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.
Frequently Asked Questions
Quick answers about Social and Economic Data Science (SEDS) – Master of Science at Universität Konstanz
Is Social and Economic Data Science (SEDS) – Master of Science at Universität Konstanz taught in German or English? ▼
This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.
How much does the Social and Economic Data Science (SEDS) – Master of Science programme cost? ▼
No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.
What are the admission requirements for Social and Economic Data Science (SEDS) – Master of Science at Universität Konstanz? ▼
Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).
When is the application deadline? ▼
Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.
Can I work in Germany while studying Social and Economic Data Science (SEDS) – Master of Science? ▼
Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.
How do I apply to Universität Konstanz — directly or via uni-assist? ▼
Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.