Veri Kalitesi: 80/100 Kaynak: daad (son güncelleme 1 ay önce)

🇹🇷

📋 Program Hakkında

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.

✅ Giriş / Kabul Koşulları

Language: Proof of English language skills (level C1 CEFR or equivalent) is required.

🗣 Dil Gereksinimleri

Proof of English language skills (level C1 CEFR or equivalent) is required.

📎 Başvuru için Gereken Belgeler

Apply to: The application must be submitted online: https://my.uni-assist.de/. For further information, please also see: Application with non-German degree. All applicants: 31 May for the following winter semester. The dates may change. Please find more information here. All applicants: 31 May for the following winter semester. The dates may change. Please find more information here.

Freie Universität Berlin

📨

🎯

Profilini hızlıca tanı, kalan süreci birlikte planlayalım — ücretsiz ilk görüşme.