Mathematics and Computer Science
The Master of Science in Mathematics and Computer Science is an advanced graduate program designed for students seeking to deepen their expertise at the intersection of theoretical mathematics and modern computer science. This full-time or part-time degree combines academic rigor with practical relevance, enabling students to build strong competencies in areas such as analysis, algebra, data science, algorithms, and theoretical computation. Structured across four semesters, the program admits students in both the summer and winter semesters and offers a flexible academic pathway tailored to individual specialization goals.
Located in Saarbrücken, a leading hub for computational research in Germany, this master’s program emphasizes both scientific depth and interdisciplinary innovation. With access to internationally recognized research institutes and experienced faculty, students gain the opportunity to work on mathematical and computational challenges that shape emerging technologies. The program reflects Germany’s strong academic tradition in mathematics and computer science, making it an excellent choice for students aiming to pursue research, industry roles, or doctoral studies in related fields.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Saarbrücken
- Study Type: Graduate (full-time or part-time)
- Admission semester: Summer and Winter Semester
- Area of study: Mathematics, Computer Science, Theoretical Computer Science
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Core Foundations
- Advanced Mathematics Modules
- Algorithms and Data Structures
- Fundamentals of Theoretical Computer Science
- Elective in Pure or Applied Mathematics
Semester 2 – Advanced Methods
- Numerical Mathematics or Stochastics
- Software Development Methods
- Machine Learning or Data Science
- Research-Oriented Seminar I
Semester 3 – Specialization & Research
- Specialization in Mathematics (e.g., Algebra, Geometry, Topology) or Computer Science (e.g., Complexity Theory, Technical CS)
- Interdisciplinary Project
- Research-Oriented Seminar II
- Elective Module
Semester 4 – Master’s Thesis
- Independent Research Thesis
- Thesis Colloquium and Presentation
Career Opportunities
Graduates of this program are well-prepared for a wide spectrum of careers across academia, research institutions, and high-tech industries. Potential roles include data scientist, research mathematician, software engineer, algorithm designer, and machine learning specialist. With Saarbrücken’s strong research ecosystem and connections to institutes such as the Max Planck Institute and CISPA, students benefit from valuable opportunities to collaborate with leading scientists and explore pathways toward doctoral studies or industry careers.
Why Choose This Program
Choosing the Master of Science in Mathematics and Computer Science means joining a program that merges rigorous mathematical training with forward-looking computational research. With a flexible curriculum, expert faculty, and access to internationally renowned research centers, students receive a comprehensive education that balances theory and application.
The program’s unique strength lies in its interdisciplinary nature, international environment, and strong academic network. Students not only develop advanced analytical and computational skills but also gain the research experience and problem-solving abilities needed to thrive in research institutions and competitive global industries.
Contact Information
Saarland University – Student Advisory Service
Campus
66123 Saarbrücken, Germany
Tel: +49 681 302-3513
Fax: +49 681 302-4526
Email: studienberatung@uni-saarland.de
Programme Contact – Department of Mathematics
Campus, Geb. E1 1, Zi. 4.06
66123 Saarbrücken, Germany
Tel: +49 681 302 70149
Email: ochs@math.uni-sb.de
International Office – Saarland University
Campus A4 4
66123 Saarbrücken, Germany
Tel: +49 681 302-71100
Fax: +49 681 302-71101
Email: international@uni-saarland.de
