Department of Mathematics and Computer Science

The faculty offers a broad, future-oriented portfolio spanning undergraduate, graduate, and teacher-training levels:

Bachelor's programmes (B.Sc.):
- B.Sc. Data Science
- B.Sc. Informatik (Computer Science)
- B.Sc. Mathematik (Mathematics)
- B.Sc. Wirtschaftsinformatik (Business Informatics)
- B.Sc. Wirtschaftsmathematik (Business Mathematics)

Master's programmes (M.Sc.) — all taught in English:
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Informatics
- M.Sc. Business Mathematics

Teacher-training (Lehramt):
- Lehramt Informatik (Computer Science for secondary school teachers)
- Lehramt Mathematik (Mathematics for secondary school teachers)

Bachelor's and Master's programmes are also available as minor subjects (Nebenfächer), allowing students in other disciplines to complement their degree with a formal qualification in Mathematics or Computer Science.

Philipps-Universität Marburg is one of Germany's oldest universities (founded 1527), and its Department of Mathematics and Computer Science offers an unusually wide programme range that bridges pure theory and market-relevant application.

• Five English-taught Master's programmes — M.Sc. Computer Science, M.Sc. Mathematics, M.Sc. Data Science, M.Sc. Business Informatics, and M.Sc. Business Mathematics — making the faculty accessible to international students without German-language requirements at Master's level.
• The cross-disciplinary Data Science programme exists at both Bachelor's and Master's level, responding directly to industry demand for graduates who combine mathematical modelling with computational skills.
• A dedicated high-performance computing cluster (MaRC3) supports research in AI and machine learning, giving students access to serious computational infrastructure.
• The faculty actively recruits leading researchers: in April 2026, Boris Koldehofe joined as the new Professor of Practical Computer Science, strengthening teaching and research capacity.
• A new junior research group on AI in the workplace was established in March 2026, opening fresh thesis and project opportunities for enrolled students.
• Programmes in Business Informatics and Business Mathematics create direct bridges to the finance, consulting, and technology industries of the nearby Frankfurt Rhein-Main metropolitan area.

The faculty conducts both applied and theoretical research, organised around cross-disciplinary research fields (Forschungsfelder) where researchers from different specialisations collaborate on current, societally relevant topics.

Key research themes and infrastructure include:
- AI & Machine Learning — a primary focus area supported by the MaRC3 high-performance computing cluster, enabling large-scale computational experiments.
- Spatiotemporal Data Infrastructures — highlighted by the May 2026 symposium "Raum-zeitliche Dateninfrastrukturen in Forschung und Praxis", indicating active projects at the intersection of data science and real-world infrastructure.
- AI in the Workplace — a new junior research group (Nachwuchsforschungsgruppe, founded March 2026) investigating the societal and technical dimensions of AI deployment in professional environments.
- Software Engineering & Conflict Resolution — ongoing work on managing and resolving conflicts in software development processes.
- Third-party funded projects (Drittmittelprojekte) — the faculty hosts a portfolio of externally funded research projects; details are listed on the faculty's dedicated research pages.

Regional and national networking includes formal cooperation with Hessian partner universities and research institutions in the Rhein-Main region.

International applicants are well-served by the faculty's five fully English-taught Master's programmes: M.Sc. Computer Science, M.Sc. Mathematics, M.Sc. Data Science, M.Sc. Business Informatics, and M.Sc. Business Mathematics — no German language proficiency is required for admission to these programmes.

Bachelor's programmes and Lehramt degrees are taught in German, so applicants targeting undergraduate study will need to demonstrate German language proficiency (typically DSH-2 or TestDaF 4 in all components).

The faculty explicitly lists Auslandsstudien (study abroad) as a dedicated service area for enrolled students, supporting outgoing exchange opportunities. Prospective international students are encouraged to explore orientation offers and consult the faculty's student advisory service (Beratung & Service) before applying.

The Department of Mathematics and Computer Science is located on the Lahnberge campus of Philipps-Universität Marburg, housed in the Mehrzweckgebäude (multi-purpose building) on Hans-Meerwein-Straße. The main entrance is on Level 3, Tower A.

Marburg is a compact university city in central Hesse. The campus is directly reachable from Frankfurt/Main and Kassel by hourly regional train services, with a journey time from Frankfurt of roughly 1 hour. From Frankfurt Airport, travellers connect via Frankfurt Hauptbahnhof; a single ticket costs between €15 and €35 depending on the train type. From Marburg Hauptbahnhof, City Bus Line 2 (15-minute frequency at peak times) stops directly at Hans-Meerwein-Straße.

On-campus research infrastructure includes the MaRC3 high-performance computing cluster, essential for AI, machine learning, and data-intensive projects. The Lahnberge campus also hosts the university's medical centre and natural science faculties, fostering interdisciplinary proximity.

Graduates from the faculty's programmes are positioned for roles across technology, finance, and data-driven industries — particularly within the Frankfurt Rhein-Main metropolitan area, one of Europe's leading financial and technology hubs located approximately 80 km from Marburg.

• Data Science graduates (B.Sc./M.Sc.) are sought by firms in fintech, logistics, healthcare analytics, and consulting for roles such as data analyst, machine learning engineer, and quantitative researcher.
• Computer Science graduates (B.Sc. Informatik / M.Sc. Computer Science) target software engineering, systems architecture, and applied AI roles across sectors including automotive, cybersecurity, and enterprise software.
• Business Informatics graduates (B.Sc./M.Sc.) bridge IT and management, entering roles in ERP consulting, digital transformation, and IT project management at companies such as those in the Frankfurt financial district.
• Business Mathematics and Mathematics graduates are strongly represented in actuarial science, risk modelling, quantitative finance, and operations research.
• The new AI in the Workplace research group signals emerging graduate expertise in AI ethics, human-AI interaction, and organisational transformation — skills increasingly demanded by consulting and tech policy employers.
• Teacher-training graduates (Lehramt Mathematik / Informatik) qualify for secondary school teaching positions across Germany's Hessian school system.