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Master English Computer Science

Master of Science in Data ScienceData Science

Master

About the Program

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 algorithmic aspects of data science. This specialisation emphasises advanced technical skills, preparing graduates for roles in software engineering, artificial intelligence, and big data infrastructure.
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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 algorithmic aspects of data science. This specialisation emphasises advanced technical skills, preparing graduates for roles in software engineering, artificial intelligence, and big data infrastructure.

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Applied Computer Science

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Frequently Asked Questions

Quick answers about Master of Science in Data Science at Freie Universität Berlin, E-Medien

Is Master of Science in Data Science at Freie Universität Berlin, E-Medien taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Master of Science in Data Science programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Master of Science in Data Science at Freie Universität Berlin, E-Medien?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Master of Science in Data Science?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Freie Universität Berlin, E-Medien — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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