The Bachelor's degree programmes are characterised by intensive support by lecturers as well as numerous tutorials. Even with large foundation lectures, students are supervised in small groups of up to 20–30 people. Teamwork in small groups is encouraged. In practicals, students can practice what they have learned in a practical context. The 18 credit points MarSkills programme offers a wide range of options from interdisciplinary competence modules, introductory modules from various disciplines, preparatory modules in Mathematics or a professional internship.

The Master's degree courses are characterised by intensive support of lecturers as well as numerous tutorials and work in small groups. In internships, students can practise the methods and techniques learned and deepen their understanding in a industry-relevant project as a team. Interdisciplinary cooperation between both the Mathematics and Computer Science department as well as with the Natural Sciences, Humanities and Economics departments plays an important role, especially in the optional minor subjects/areas of application, including the large, often application-oriented practical portion of the degree course.

In the Master's degree courses in Mathematics and Business Mathematics, the courses offered in Marburg are taught in English. Students can choose individually between English and German for homework, quizzes and exams. In the Bachelor, up to 15 CP from (English-language) Master modules can be included. In addition, English Bachelor modules are occasionally offered. Individual events are hybrid as part of the MarburgOnline: VirtualExchange.

Aalto Universität, Helsinki, Finnland; Université Pierre-et-Marie-Curie, Paris 6, Frankreich; Ecole Central Paris, Frankreich; Università Cagliari, Italien; Università degli Studia Genova, Italien; Universitatea Babes-Bolyai, Cluj, Rumänien; Universitat Politécnica Barcelona, Spanien; Universidad Complutense de Madrid, Spanien; Linköpings Universitet, Schweden; Haceteppe Üniversitesi, Ankara, Türkei

Mathematical Model Collection, Computer Science Laboratory, Departmental Library.

Algebraic Combinatorics; Algebraic Lie-Theory; Dirac Operators; Construction of Wavelets; Manifolds; Non-Parametric Estimators; Non-Standard Problems of Optimisation; Polytopes; Regularity Theory of Partial Differential Equations; Time Series Analysis