Master of Science in Data Science

Level: Master's
Award: Master of Science
Language: English
Duration: 4 semesters
Study mode: Full-time
Campus: Berlin
Apply by: <p>Mid-April until end of May</p>
Starts: Winter semester

Freie Universität does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements: Admission Regulations 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) in a higher education programme comprising at least 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. More Information You can find more information for prospective students on our homepage. Please also read our FAQ . Before you apply, please read our homepage concerning application procedures, and admission requirements . For all inquiries about the application process, admission, orientation at Freie Universität Berlin, etc., please contact the Student Ser
English language requirement: C1 required, please provide an official language certificate, e.g.: IELTS Academic: 7
German language requirement: No minimum language level required
Application period: Mid-April until end of May
Apply through: • uni-assist • Website

About this programme

This Master's degree programme imparts skills that are necessary in order to handle the advancing digitisation of many areas of the physical and life sciences. This concerns topics such as the collection, processing, analysis and interpretation of large digital data sets. To this end, the Master's degree programme conveys the key aspects of modern data science, which is characterised by a blending of the central fields of mathematics, statistics, computer science and machine learning, taking application-related issues into account. With in-depth education in the corresponding branches of mathematics, statistics and computer science as well as in the relevant application fields of the physical and life sciences that engage in quantitative work, this programme imparts the skills needed to recognise the relevant problems in data analysis, develop and apply appropriate mathematical or computer science solutions and correctly interpret the results within the specific application context. The following profile areas are offered to students: Data Science in the Life Sciences: The Life Science track is designed for students aiming to apply data science methodologies to biological, biomedical, and health-related fields. This specialisation integrates core data science principles with domain-specific knowledge pertinent to the life sciences. Data Science Technologies: The Data Science Technologies track is tailored for students aiming to deepen their expertise in computational and algo