This Master's programme gives you advanced training in mathematical theory, methods and problem-solving with a clear eye on the needs of the professional world — including roles in business, industry and the public sector. You will develop the ability to work independently at a scientific level, learn to analyse and critically assess contemporary mathematical research, and acquire technical skills that are directly relevant to modern workplaces.
The curriculum is flexible: you can tailor your studies by choosing from a large range of elective courses in both pure and applied mathematics, and by taking part in a variety of practice-oriented modules. The programme includes two seminar modules designed to train you in working with current scientific literature, plus an individual introduction to scientific work. Internships, offered either internally or externally, are available to gain practical experience.
Research preparation is a core element: you will tackle research-related mathematical problems and demonstrate your ability to carry out independent scientific work in the Master’s thesis. You may also broaden your profile by taking modules from another discipline where mathematical methods are applied, creating an interdisciplinary edge to your degree.
Key programme components and requirements
This Master's programme follows the Bologna framework and comprises 120 ECTS in total, with an expected workload of 30 ECTS per semester. The curriculum is designed to let you tailor your studies: a substantial portion is devoted to compulsory elective modules that let you deepen knowledge in both pure and applied mathematics and expose you to contemporary mathematical research and applications.
Applied and communication skills are developed through practical and seminar modules. These modules (21 ECTS) focus on practice-oriented scientific work: internships (or an internal software/implementation internship if you already completed an industrial placement during your Bachelor's), two seminars to practise presenting and analysing mathematical results and literature, and a module on techniques of scientific work. Optionally, you can take an 18 ECTS profile area to gain foundational knowledge in another field where mathematical methods are useful, encouraging interdisciplinary analogy and broader application.
The Master's thesis (30 ECTS) concludes the programme. Under the supervision of a faculty member, you will carry out an independent research or development project that integrates the knowledge and skills gained during coursework and practical modules.
Key module and credit requirements
Primary learning outcomes
This is a consecutive Master's programme intended for students who already hold a Bachelor’s-level degree in Mathematics or a closely comparable university qualification. Admissions require clear evidence that you already possess in-depth knowledge of mathematics before starting the programme.
A concrete credit requirement applies: by the time you submit your application you must have achieved at least 144 ECTS credits. If your prior degree was completed outside Germany or follows a different credit system, you should verify that your qualification and credit total are considered equivalent by the admissions office.
Admission requirements (key points)
For full details, required documents and any additional conditions, consult the programme’s official admission information: https://www.uni-marburg.de/en/studying/after-your-first-degree/masters-programs/degree-programs/m-mathematics
Winter Semester (International)
All details can be found at:https://www.uni-marburg.de/en/studying/admissions/deadlines.
Graduates acquire a broad spectrum of modern mathematical concepts and applied methods, together with practical experience through internships and seminar work. This combination prepares them for employment in industry, finance, consulting, software development, and public service where advanced mathematical modelling, algorithmic implementation and analytical skills are required.
The programme's research orientation and the Master's thesis also provide a clear pathway to doctoral studies and academic research careers. Elective and interdisciplinary profile options further open opportunities in applied domains that integrate mathematics with other fields (e.g. engineering, economics, data science).