Overview
Why Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg?Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is renowned for its strong emphasis on interdisciplinary collaboration, particularly between the departments of mathematics and computer science. This unique synergy enhances the learning experience, allowing students to engage with a broad spectrum of topics in both fields. The university is strategically located in the Nuremberg metropolitan area, which boasts a thriving industrial environment that fosters practical applications of academic knowledge. This proximity to leading companies such as Siemens, Schaeffler, and adidas provides students with opportunities to network and potentially secure employment during their studies.
Tuition Fee BreakdownThe tuition fees for the Data Science programme are as follows:
- International Fee: EUR 0 per year
- European Fee: EUR 0 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. in Data Science programme encompasses a range of specialisation areas and core modules, structured to provide both depth and breadth in the field. Students must select one major field of study, completing modules totalling 30 ECTS, while also engaging in minor fields with 20 ECTS. The core modules, amounting to 15 ECTS, are mandatory for all participants. The specialisations include:
- Data-based optimisation
- Mathematical theory / Fundamentals of data science
- Databases and knowledge representation
- Machine learning / Artificial intelligence
- Simulation and numerics
- Mathematical statistical data analysis
Additionally, students will complete technical qualification modules (5 ECTS) and choose application subjects from a diverse array, such as:
- Artificial intelligence in biomedical imaging
- Digital humanities
- Medical data science
- Geosciences
- Physics
The programme culminates in a Master’s seminar (5 ECTS) and a Master’s thesis (30 ECTS) in Data Science.
Careers with Data ScienceGraduates of the M.Sc. in Data Science are well-prepared for a variety of career paths due to the high demand for data science professionals. Potential employers span multiple industries, including:
- Technology sector (e.g., Google, Microsoft, IBM)
- Consulting firms (e.g., McKinsey, Deloitte)
- Biomedical research (e.g., AstraZeneca, Roche)
- Logistics (e.g., Deutsche Post, UPS)
- Energy sector (e.g., E.ON, RWE)
- Finance and insurance (e.g., Deutsche Bank, Allianz)
With a significant shortage of data science experts in Germany, graduates can anticipate competitive starting salaries. Those wishing to further their academic pursuits may also consider continuing to a doctoral programme, contributing to the evolving landscape of data research and its applications.
Programme Structure
The M.Sc. Data Science degree programme offers the following specialization areas:
- Data-based optimization
- Mathematical theory / Fundamentals of data science (taught in German)
- Databases and knowledge representation
- Machine learning / Artificial intelligence
- Simulation and numerics
Mathematical statistical data analysis
Application subjects to choose from:
- Artificial intelligence in biomedical imaging
- Chemistry
- Digital humanities
- Geography
- Geosciences
- International information systems
- Medical data science
- Material Science
Physics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Erlangen, Germany
Disciplines
Data Science & Big Data Computational Mathematics Data Analytics View 75 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
https://www.fau.eu/education/application-and-enrolment/applying-for-masters-degree-programmes/
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and/or in Germany, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
https://meinstudium.fau.eu/faq-about-the-study/#ID-522
Living costs
Erlangen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
https://www.fau.eu/education/student-life/financing-your-studies/
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Scholarships Information
Below you will find Master's scholarship opportunities for 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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