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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

Requirements

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.

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Institute for Computer Science

At the institute for informatics of the Free University of Berlin, both the foundations and the applications of computer science are the objects of investigation. The focus on research are the smart handling of big amounts of data, the security of systems of information, and the implementation of efficient discrete algorithms. In teaching, we also intend to sharpen the view on the effects of informatics on society.

Image Credit: Bernd Wannenmacher
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Institute for Mathematics

Mathematics on the highest level in both research and teaching: This is what the excellent mathematicians from the institute of mathematics at the Free University of Berlin guarantee. Well connected internationally, nationally and regional, they act intensively and extensively on science, economics, industry, education and society.

Image Credit: Stephanie Schiemann
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Institute for Bioinformatics

Bioinformatics combines as an interdisciplinary branch of science the topics biology on one hand and Computer Science and mathematics on the other hand. The Free University of Berlin and the Charité – Medical University of Berlin offer along with further partners two courses, which can be completed as a bachelor or a master.

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Institute of Psychology

Psychology investigates the experience and behaviour of people both in connection with mental and neuronal as well as with social and developmental processes in dependence on internal and external factors using a variety of research methods.

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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)