Mathematics in Data and Technology
The Master of Science in Mathematics in Data and Technology is a prestigious graduate program offered by the University of Freiburg. Designed for professionals and graduates aiming to expand their expertise, this full-time international degree combines academic depth with practical application. Students gain hands-on experience in mathematical modeling, data analysis, and technological problem-solving, preparing them for advanced roles in research, industry, and technology sectors. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Freiburg, one of Germany’s most vibrant academic and research hubs, this master’s program emphasizes both analytical rigor and practical relevance. With a strong focus on interdisciplinary projects and collaborative learning, students not only master advanced mathematical techniques but also develop the critical thinking and problem-solving skills needed to thrive in a highly competitive global market.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Freiburg
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Mathematics
- Admission modus: Without admission restriction
- Main language: English
Program Structure
- Semester 1 – Foundations of Mathematics & Technology
- Mathematical Modeling and Analysis
- Linear Algebra and Optimization
- Introduction to Data Science
- Computational Methods
- Semester 2 – Advanced Techniques & Applications
- Probability and Statistics
- Numerical Analysis and Algorithms
- Machine Learning and AI Foundations
- Collaborative Project I
- Semester 3 – Specialization & Industry Practice
- Advanced Data Analytics
- Applied Mathematical Methods
- Interdisciplinary Research Project
- Collaborative Project II (industry-partnered)
- Semester 4 – Master’s Thesis & Final Project
- Independent Research or Thesis
- Development of a Data/Technology Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of the Master of Science in Mathematics in Data and Technology are prepared for a wide range of roles in data science, analytics, technology development, and research. Career paths include data analyst, machine learning engineer, computational scientist, software developer, and quantitative researcher. With Freiburg’s strong academic environment and international collaborations, students gain excellent opportunities to connect with research institutions, tech companies, and global networks.
Why Choose This Program
The Master of Science in Mathematics in Data and Technology combines rigorous academic training with applied, real-world problem solving. Offered by the University of Freiburg, the program provides access to leading faculty, state-of-the-art computing facilities, and a collaborative international network.
This program’s unique strength lies in its integration of mathematics, data analysis, and technology applications. Students not only master advanced analytical techniques but also develop the practical and interdisciplinary skills needed to excel in a rapidly evolving global tech market.
Contact Information
University of Freiburg – Student Advisory Service
Sedanstraße 6
79098 Freiburg, Germany
Tel: +49 761 203-4246
Fax: +49 761 203-8835
Email: studium@uni-freiburg.de
Programme Contact – Mathematics in Data and Technology
Herr PD Dr. Markus Junker
Email: markus.junker@math.uni-freiburg.de
International Office – University of Freiburg
Service Center Studium – Bewerbung und Zulassung
Sedanstraße 6
79098 Freiburg, Germany
Tel: +49 761 203-4246
Fax: +49 761 203-8835
Email: study@uni-freiburg.de
