Master of Science in Data Science
A multidisciplinary master’s programme blending mathematics, statistics, computer science, and machine learning for data-driven innovation in life sciences and technology.
Best for:Best for students with a strong foundation in mathematics, statistics, and computer science who seek to specialise in either life sciences applications or advanced data technologies, with a focus on interdisciplinary research and practical problem-solving.
Overview
The Master of Science in Data Science at Freie Universität Berlin offers a rigorous, interdisciplinary programme designed to equip students with the skills to handle large-scale digital data across physical and life sciences. Students explore core areas like statistics, machine learning, and programming while specialising in either **Data Science in Life Sciences** (applied to biological and biomedical fields) or **Data Science Technologies** (focusing on computational and algorithmic advancements). The curriculum emphasises hands-on problem-solving, ethical considerations, and domain-specific applications, ensuring graduates can develop and interpret data-driven solutions. The programme is taught entirely in English and culminates in a 30-credit master’s thesis, with a strong emphasis on interdisciplinary collaboration and real-world relevance.
What you'll do
- Complete foundational modules in statistics, machine learning, and programming during the first semester to build a strong technical and mathematical basis.
- Specialize in either **Data Science in Life Sciences** or **Data Science Technologies** by selecting relevant profile-area courses in the second and third semesters.
- Engage in an elective module to explore complementary topics or interdisciplinary subjects, ensuring a well-rounded skill set.
- Conduct independent research and write a 30-credit master’s thesis in the fourth semester, addressing a specific data science challenge within your chosen field.
- Participate in ethical discussions and modules to ensure responsible and principled use of data science methodologies.
- Collaborate with peers and faculty to apply theoretical knowledge to real-world problems in data-driven research.
Requirements
Degree required: A completed or ongoing Bachelor’s degree (or equivalent) with at least 180 ECTS credits. Applicants with a degree in a field other than Computer Science must have at least 20 ECTS in mathematics (including linear algebra, calculus, and probability theory) and 10 ECTS in computer science (including algorithms and programming).
Degree offered: Master of Science in Data Science
Language: English proficiency at C1 level, demonstrated by an official certificate such as IELTS Academic (score of 7 or higher).
Instruction: English
- Proficient knowledge of linear algebra, calculus, and probability theory (minimum 20 ECTS).
- Familiarity with algorithms and higher-level programming languages (minimum 10 ECTS).
- Strong analytical and problem-solving skills applicable to data-driven contexts.
- Ability to work independently and collaboratively in interdisciplinary research settings.
- Applicants must have completed or be in the process of completing a Bachelor’s degree with at least 180 ECTS credits.
- No specific nationality or residency restrictions, but proof of English proficiency is mandatory.
- No age restrictions or prior experience caps.
Funding & terms
Programme and admissions
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How to apply
Deadline: Mid-April until end of May
Applicants must submit their application through the uni-assist portal. Required documents include a completed application form, proof of degree, transcripts, language proficiency certificate, and a CV. Additional documents may be requested depending on the applicant’s background. Applications are reviewed based on academic qualifications and English proficiency.
- Completed application form
- Proof of Bachelor’s degree or equivalent
- Transcripts of all university courses
- Official English proficiency certificate (e.g., IELTS Academic score of 7 or higher)
- Curriculum Vitae (CV)
- Proof of required ECTS credits in mathematics and computer science
Contact
Student Services Centre· Application and Admission Support
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