The Master of Science in Data Science at the University of Münster is a practice-oriented graduate program designed for working professionals and students seeking advanced expertise in data-driven technologies. Offered as a part-time, dual-system program with integrated practical phases, it provides comprehensive training in statistical analysis, machine learning, data engineering, and digital business applications. The program spans four semesters and is open for admission in both summer and winter semesters.
Situated in Münster, a leading center for technology-driven research and business innovation in Germany, this program bridges academic knowledge and real-world industry needs. Students gain hands-on experience through industry projects, applied case studies, and modern data technologies, developing the skills required to operate in fast-evolving data environments across sectors such as e-commerce, consulting, business analytics, and digital media.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Münster
- Study Type: Graduate (part-time, dual-system, work-integrated)
- Admission semester: Summer & Winter semesters
- Area of study: Data Science / Business Analytics
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Statistics & Probability
- Python for Data Analysis
- Data Management & Databases
- Applied Data Projects I
Semester 2 – Machine Learning & Digital Analytics
- Machine Learning Algorithms
- Big Data & Cloud Technologies
- Digital Business Analytics
- Applied Data Projects II
Semester 3 – Advanced Modelling & Specialization
- Deep Learning & AI Applications
- Data Engineering & Automation
- Elective Specializations (e.g., NLP, Predictive Analytics)
- Industry-Based Capstone Project
Semester 4 – Master's Thesis
- Independent Thesis
- Defense & Presentation
Career Opportunities
Graduates are prepared for advanced roles in data analytics, business intelligence, digital product development, AI-driven consulting, and technology leadership. Typical job profiles include data scientist, machine learning engineer, business data analyst, data consultant, and digital transformation specialist. The program also supports entrepreneurial pathways for tech-driven start-ups.
Why Choose This Program
This program is designed with industry relevance at its core, offering flexible study formats suited to working professionals and students seeking applied, practice-based learning. The curriculum integrates cutting-edge data technologies with business-focused case studies, ensuring graduates gain both technical depth and strategic insight.
Students benefit from Münster’s strong industry networks, innovative teaching environment, and the opportunity to build advanced expertise in machine learning, AI, and digital innovation. With real-world projects and professional integration, graduates are prepared to lead data-driven transformation in modern organizations.
Contact Information
Student Advisory Service
Botanicum – Haus des Studiums
Schlossgarten 3
48149 Münster, Germany
Tel: +49 251 83-20002
Email: zsb@uni-muenster.de
Program Contact
University of Münster Professional School gGmbH
Email: Jannis.Wegmann@uni-muenster.de
Contact: Jannis Wegmann
International Office
Schlossgarten 3
48149 Münster, Germany
Tel: +49 251 83-22215
Email: international.office@uni-muenster.de
