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Who is the course intended for?

"The Master's program is explicitly not just for IT cracks."

Prof. Wolter, Computer Science

"In the data science program application-oriented specialists are trained who can analyse the large data-sets that are already emerging today in various areas, derive knowledge from them and generate added value".

Prof. Conrad, Mathematics

"The main aim here is to provide students with specialist knowledge in contemporary data analysis techniques and application domains. For us, data science is the confluence of statistics, machine learning and artificial intelligence, as well as domain-specific problem solving."

Prof. Ostwald, Computational Cognitive Neuroscience


The applicant must hold a Bachelor’s degree in computer science or an equivalent degree with a total of 180 credit points (LP). This must include at least 20 LP in mathematics modules and at least 10 LP in computer science modules.

These 20 LP in mathematics modules must contain at least 5 LP in linear algebra or calculus and at least 5 LP in probability theory or statistics. With regard to the required 10 LP in computer science modules, at least 5 LP must be in algorithms and at least 5 LP in a module that imparted knowledge of a higher programming language, e.g. C/ C++, Java or Python.

Any applicant who did not earn his or her university degree at an education institution where English is the language of instruction is required to prove English language skills at level C1 of the Common European Framework of Reference for Languages (CEFR). We recommend to submit a proof of English language skills at level C1 (IELTS 7 or higher, TOEFL iBT 95 or higher).

For questions regarding APS certificate, please refer to info-service@fu-berlin.de.

Please enclose the completed self-disclosure form with your application. PDF

The course is interdisciplinary and is supported by the following institutions.

What will happen in the first semester?

  • Programming for Data Science (5 LP)
  • Machine Learning for Data Science (10 LP)
  • Statistics for Data Science (10 LP)
  • Introduction to Profile Areas (5 LP)

Profile Areas

  • Data Science in the Life Sciences (Study regulations 2021, 2019)
  • Data Science Technologies (Study regulations 2021, 2019)
  • Data Science in the Social Sciences (only study regulations 2019)