4 semesters
English
Free (312.89 EUR/sem)
Winter
The Free University of Berlin (FU Berlin) is a renowned institution known for its high-quality education and research opportunities. The university offers a comprehensive course in Data Science, which equips students with the necessary skills to analyze and interpret complex data sets. The program covers a wide range of topics including statistical analysis, machine learning, and data visualization. Students have access to state-of-the-art facilities and resources, as well as the opportunity to collaborate with leading experts in the field. Graduates of the Data Science program from FU Berlin are well-prepared for careers in data analysis, research, and technology.
Specialization
Two areas of specialization Data Sciences in Life Sciences Data Science Technologies
Fields of study
How to apply
What you need to apply for Data Science at Free University of Berlin (FU Berlin)
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).
The applicant must have a degree, either from Germany or an equivalent foreign degree, in a higher education program comprising at least six semesters that qualifies him or her to practice a profession, in the subject of mathematics, computer science, physics, bioinformatics, psychology, cognitive science, neuroscience, or sociology comprising at least 15 credits in modules related to mathematics – especially linear algebra, analysis, probability theory, and/or statistics – and at least five credits in modules related to computer science in which the applicant gained knowledge and skills in a higher programming language such as C/C++, Java, Python, Matlab or R.
https://www.fu-berlin.de/en/studium/studienangebot/master...
For admittance to the master’s program applicants need to fulfil the following admission requirements:
The applicant must have a degree with a total of 180 credit points (LP) with a study share of 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 the areas of linear algebra or calculus and at least 5 LP in the areas of probability theory or statistics. With regard to the required 10 LP in computer science modules, at least 5 LP must be in the area of algorithms and at least 5 LP in a module that imparted knowledge of a higher programming language, e.g. C/ C++, Java or Python.
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).
What to prepare for your application to Data Science
graduation certificate
official current transcript of records
with an overall grade
proof of English
APS certificate
This programme applies directly or via uni-assist. Submit your documents through the correct channel before the deadline.
Open application portalApostille and notarization
Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.
Need help preparing your documents?
Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.
View document bundleStep-by-step guide to applying for Data Science at Free University of Berlin (FU Berlin)
through uni assist
Apply via
uni_assist_vpd_plus_direct
Mode
online
Application fee
75 EUR
Estimated time
Varies by programme
Complexity
Varies
Address
Freie Universität Berlin
Kaiserswerther Str. 16-18
14195 Berlin
Germany
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Tuition
FREE
No tuition fees
Semester contribution
312.89 EUR
per semester
Application fee
75 EUR
one-time
Estimated year-1 total cost
23,570 – 34,970 EUR
Includes tuition, semester contribution, and estimated living costs. Range accounts for lifestyle differences.
This programme has restricted admission (NC). Admission is competitive and based on academic performance.
Additional fee information
Students do not pay any tuition fees, the university only charges semester fees and contributions each semester.
Plan your total budget for Germany
Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.
Open cost calculatorCommunity-reported data from MS in Germany students (2018-2025)
Acceptance rate
2%
1 accepted out of 52 total applications
Grade benchmarksGerman scale (1.0 = best, 4.0 = passing)
1.32
Avg. accepted grade
German scale
1.32
Best admitted grade
German scale
2.25
Avg. rejected grade
German scale
Based on 52 applications from MS in Germany students 2018-2025.
Other Data Science programmes ordered by QS ranking
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