Master of Science in Data Science

Intake Season

Winter (October)

Duration

4 semesters

Academic Admission

Admission Regulations For admission to the Master’s programme, applicants must fulfil the following admission criteria: First Degree You need to have completed, or be in the process of completing, a first university degree (Bachelor's or equivalent), either from Germany or an equivalent foreign degree, in a higher education programme comprising at least six semesters or 180 ECTS. Computer Science & Mathematics Your first degree must be a Bachelor of Science in computer science or a first degree in a different subject. If your degree was in a different subject , your previous studies must include at least 2 0 ECTS in mathematics and at least 10 ECTS in computer science . The 20 ECTS in mathematics must contain at least 5 ECTS in linear algebra or calculus and at least 5 ECTS in probability theory or statistics . The 10 ECTS in computer science must contain at least 5 ECTS in algorithms and at least 5 ECTS in a higher programming language , e.g. C/ C++, Java or Python. More Information You can find more information for prospective students on our homepage. Please also read our FAQ . If you are an applicant who received their university degree outside of Germany, you need to apply to Freie Universität Berlin via uni-assist. Uni-assist will check your documents and forward them to the respective university. Before you apply, please read our homepage concerning application procedures, and admission requirements . For all inquiries about the application process, admission, enrolment, orientation at Freie Universität Berlin, etc., please contact the Student Services Centre: Info-Service@fu-berlin.de . Student Services Centre

APS Certificate

An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.

IELTS Score

Not specified

Application Deadline

Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.