Mathematics in Data Science
The Master of Science in Mathematics in Data Science at the Technical University of Munich (TUM) is an internationally oriented graduate program designed for students who wish to combine advanced mathematics with data science and machine learning. This full-time program integrates rigorous theoretical training with practical applications in data analytics, computational modeling, and statistical learning.
Students gain hands-on experience in areas such as probability, statistics, optimization, machine learning, and data-driven modeling, preparing them for careers in research, finance, technology, and industry. The program is structured across four semesters and admits students in the winter semester. Located in Munich, a leading hub for science, technology, and innovation, the program emphasizes both foundational theory and applied data science. With access to advanced computational facilities, research centers, and international collaborations, students develop the analytical and computational skills necessary to succeed in diverse scientific, industrial, and technological environments.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Munich, Germany
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Mathematics in Data Science
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations
- Linear Algebra and Analysis
- Probability and Statistics
- Introduction to Data Science
- Programming and Computational Methods
Semester 2 – Advanced Topics
- Machine Learning and Statistical Learning
- Optimization and Numerical Methods
- Data Modeling and Visualization
- Elective Modules (e.g., Mathematical Finance, Computational Geometry)
Semester 3 – Specialization & Application
- Big Data Analytics
- Advanced Computational Methods
- Applied Data Science Project
- Research Project / Industry Collaboration
Semester 4 – Master’s Thesis & Final Project
- Independent Research Project
- Master’s Thesis Writing and Defense
- Presentation and Reporting of Results
Career Opportunities
Graduates of this program are prepared for a wide range of roles within the global technology, finance, and research sectors. Career paths include data scientist, quantitative analyst, machine learning engineer, computational researcher, and operations analyst. With Munich’s vibrant scientific and industrial ecosystem, students gain excellent opportunities to connect with universities, research centers, and international professional networks.
Why Choose This Program
Choosing the Master of Science in Mathematics in Data Science means joining a program that combines academic excellence with practical, industry-relevant experience. Offered by the Technical University of Munich (TUM), it provides students with access to renowned faculty, state-of-the-art computational facilities, and a strong professional network.
The program’s unique strength lies in its combination of theoretical rigor, applied problem-solving, and research-oriented projects. Students not only master advanced mathematical and data science techniques but also develop analytical, computational, and collaborative skills needed to thrive in a highly competitive global market.
Contact Information
Technical University of Munich – Student Advisory Service
Arcisstraße 21
80333 Munich, Germany
Tel: +49 89 289 01-0
Fax: +49 89 289 01-1234
Email: studienberatung@tum.de
Programme Contact – Mathematics in Data Science
Boltzmannstraße 3
85748 Garching, Germany
Tel: +49 89 289 01-5678
Email: mathdatascience@tum.de
International Office – TUM
Arcisstraße 21
80333 Munich, Germany
Tel: +49 89 289 01-0
Fax: +49 89 289 01-1234
Email: international-degree-seekings@tum.de
