Data Science
The Master of Science in Data Science at the University of Regensburg provides advanced interdisciplinary training at the intersection of statistics, computer science, and applied sciences. The program combines theoretical foundations with practical applications, preparing students to analyze complex data, build predictive models, and design intelligent information systems. It is structured across four semesters and admits students in both the summer and winter semesters.
This international and research-oriented program focuses on developing expertise in data-driven problem solving. Students gain hands-on experience in machine learning, computational modeling, and data management, supported by access to modern computing infrastructure and collaboration with industry and research partners.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Regensburg, Germany
- Study Type: Graduate (full-time or part-time, international)
- Admission semester: Summer and Winter Semester
- Area of study: Data Science, Computer Science, Statistics
- Admission modus: Selection procedure / qualifying examination
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Statistical Modeling and Inference
- Data Engineering and Database Systems
- Machine Learning Fundamentals
- Programming for Data Analytics
Semester 2 – Advanced Computational Methods
- Deep Learning and Artificial Intelligence
- Big Data Analytics and Cloud Computing
- Computational Life Sciences
- Research Project I
Semester 3 – Specialization and Applied Research
- Information Systems and Business Intelligence
- Ethical and Legal Aspects of Data Science
- Applied Predictive Modeling
- Research Project II
Semester 4 – Master’s Thesis and Defense
- Independent Research Thesis
- Data Analysis and Model Evaluation
- Presentation and Defense
Career Opportunities
Graduates of the M.Sc. in Data Science program are prepared for high-demand careers in data-driven industries and research institutions. Possible roles include data scientist, machine learning engineer, business intelligence analyst, bioinformatics specialist, and AI consultant. The program also provides an excellent foundation for doctoral studies (Ph.D.) in data science, computer science, or computational biology. Its interdisciplinary focus and emphasis on analytical thinking equip graduates to contribute to innovation in fields such as healthcare, finance, technology, and environmental research.
Why Choose This Program
Choosing the Data Science M.Sc. at the University of Regensburg means joining a program that combines theoretical rigor with real-world relevance. Students benefit from an interdisciplinary curriculum, expert faculty, and strong connections to academic and industrial research projects.
The program’s unique strength lies in its integration of statistics, informatics, and applied problem-solving. It empowers students to design data-driven solutions for global challenges — from biomedical research to intelligent business systems — while developing the critical and ethical understanding essential to responsible innovation.
Contact Information
University of Regensburg – Student Advisory Service
Universitätsstraße 31
93053 Regensburg, Germany
Tel: +49 941 943-2219
Fax: +49 941 943-2415
Email: studienberatung@uni-regensburg.de
Program Contact – Data Science Coordination Office
Ulrike Allouche
Tel: +49 941 943-5097
Email: studienberatung.ds@ur.de
International Office – University of Regensburg
Universitätsstraße 31
93053 Regensburg, Germany
Tel: +49 941 943-2373
Fax: +49 941 943-3882
Email: international.office@ur.de
