Data Science
Universitat Regensburg · Regensburg, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- full-time part-time (study alongside work)
- Campus
- Regensburg
- Apply by
- Register by 1 June 2027 + 1 more
- Starts
- Winter and summer semester
Universitat Regensburg does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 – €16,600 a year for international students.
Entry requirements and how to apply
- Entry requirements
- If you want to study the MSc Data Science at the University of Regensburg, you should have: A Bachelor's degree with a final grade of 2.5 or better (or at least 138 ECTS in your current Bachelor's degree with a provisional final grade of 2.5 or better) If you have not already studied data science or computer science in your Bachelor's degree, but are burning with interest in data science, you can be admitted if you fulfil the other requirements. Completed credits from the field of data science amounting to 30 ECTS and from the field of mathematics amounting to 18 ECTS (With a total of 30 ECTS from data science and mathematics, you can be conditionally admitted.) Proof of English at level B2 CEFR or a Bachelor's thesis written in English If the language of instruction during your studies was English, you will still need to provide proof of language proficiency (language test certificate or thesis). Only applicants with English as their first language are exempt from providing proof of English language skills. In this case, it is sufficient to upload a copy of your passport. If you are pursuing or have completed your first university degree (Bachelor’s) outside of Germany, you must s
- English language requirement
- B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II IELTS Academic: 6.5 TOEFL iBT (before 2026): 79 PTE Academic: 59 Cambridge English Qualifications: B2 First
- German language requirement
- No minimum language level required (proficiency assessment via test or interview)
- Application period
- The following is valid for applicants from: all countries For the winter semester: until 1 June The following is valid for applicants from: all countries For the summer semester: 15 October - 1 December
- Apply through
- Please check this website .
About this programme
Data scientist, AI expert, data engineer, data analyst – the Master’s programme in Data Science at the University of Regensburg prepares you for all of these roles. You will also be qualified to work in a wide range of application domains, including biomedical research, the technology sector, business, and other future‑oriented fields. The MSc in Data Science equips you to develop innovative solutions to complex problems and to work confidently in interdisciplinary environments. During your studies, you will deepen your knowledge in advanced topics of statistics and machine learning and specialise in selected areas of application. The programme is structured into three components: Compulsory area (including Master’s thesis) – minimum 66 ECTS Compulsory elective area “Machine Learning and Statistics” – minimum 12 ECTS Compulsory elective area “Specialisation” – minimum 42 ECTS Compulsory Area: Building a Strong Foundation A solid understanding of current developments in deep learning and reinforcement learning is essential in modern data science. You will acquire this knowledge at the beginning of your studies in the module Modern Machine Learning with an accompanying lab (6 ECTS). Two Free Elective modules allow you to choose courses from computer science, data science, or other disciplines according to your interests (12 ECTS each). The compulsory area also includes a seminar on current topics in data science (6 ECTS) and the Master’s thesis (30 ECTS). Machine Learning and S
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