Department of Mathematics and Computer Science

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.

• 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.

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.

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.

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.

• 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.