
Mathematics and Computer Scienсе
(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- no admission restriction
- Application:
- directly at university
- Study Mode:
- On campus
Campus Video
Welcome to the Saarland Informatics Campus (SIC) at Saarland University
Five Reasons to choose this Master's Program





Course Description
From autonomous vehicles to advanced medical diagnostics, today’s groundbreaking advancements are driven by an in-depth understanding of both mathematics and computer science. This unique master’s program prepares students to lead in these fields, exploring how mathematics underpins computer science and how computer science unlocks new possibilities for mathematical theory. The M.Sc. in Mathematics and Computer Science at Saarland University equips students with the analytical skills and technical expertise needed to address real-world problems and develop innovative solutions at the forefront of research and industry.

The M.Sc. Mathematics and Computer Science program is designed for students with a strong foundation in both fields. Ideal applicants possess knowledge in mathematics (analysis, linear algebra, numerics, stochastics) and computer science (programming, algorithms, theoretical concepts) beyond basic programming skills.
Special Program Features
Elite Research Network SIC
The Saarland Informatics Campus (SIC) collaborates with top-tier institutions like the Max Planck Institutes and DFKI, the German Research Center for Artificial Intelligence, embedding cutting-edge research in AI, cybersecurity, and data science into the curriculum. With over 900 scientists and numerous research groups, SIC stands as one of Europe’s leading hubs for computer science innovation in the field.
Practical Experience with Industry Integration
By integrating research with professional experience, SIC allows students to apply theoretical knowledge in practical settings, often in collaboration with top institutions. Throughout their studies, students have access to internships, research positions, and industry-driven projects, ensuring they are well-prepared for careers in AI and data science.
Saarbrücken: A City of Culture and Innovation
Nestled in a vibrant, cross-border region, Saarbrücken offers an exciting blend of cultural diversity and modern industry. The city’s tech-driven community, coupled with lively cafes and green spaces, creates a welcoming environment for students.
Accreditations

System Accreditation
System Accreditation
System accreditation is the internal quality assurance system of a state or state-recognized higher education institution in Germany. With system accreditation, a higher education institution receives the right to award the seal of the Accreditation Council for its self-assessed study programs.
Requirements
Qualification Requirements
The application requirements for the study program in "Mathematics and Computer Scienсе" are:
A bachelor’s degree with a strong focus on mathematics and computer science or a related disciplinе.
Language Requirements
The following certificates are recognized as proof of your language proficiency.
Application & Admission
Application Deadlines
Other EU Students 
| Intake | Summer Semester |
| Application deadline | 31 Marchin > 10 months |
| Application mode | Directly at university |
Application Procedure & Selection
Application Documents
Written by the applicant, outlining their interest and motivation for pursuing the prοgram.
Two letters of recommendation provided by academic referees familiar with the applicant’s academic background and abilitiеs.
Testimonials
For many modern problems, computer scientists need a sound knowledge of mathematics – and vice versa. Being equally educated in both subjects is an excellent preparation for a career in science as well as in business
The program provides a flexible start to your studies, as it offers a wide range of courses from both subjects and you can easily switch completely to mathematics or computer science in the first semesters – ideal if you don’t want to commit directly to one area.
Location

Further Information
Your Personal Contact
Prof. Dr. Peter Ochs
Course Adviser - Mathematics
Contact Details:
+49 681 302 70 149
[email protected]
Dr. Rahel Stoike-Sy and Barbara Schulz-Brünken
Study Coordination of Computer Science
Contact Details:
[email protected]
For more information please check the
Course Website



