This English-language MSc is designed for students who already hold a BSc in mathematics or a closely related subject and want to deepen their mathematical knowledge with a strong emphasis on practical, real-world applications. The full degree takes three semesters and blends advanced mathematical theory with computer science elements. Many courses include hands-on projects carried out in modern labs so you practise applying methods as you learn them.
The curriculum mixes more theoretical, advanced modules with application-oriented topics — including contemporary areas such as AI — and trains you in mathematical thinking and problem solving for sectors like actuarial science and finance, industry and information technology. An optional internship with one of the region’s internationally known companies can be taken to earn additional credit points; this provides a chance to test your skills in professional settings, build experience and make industry contacts.
You will study in a mathematics department that offers one of the widest ranges of application-focused subjects at a German university of applied sciences, with good opportunities for specialisation. The programme emphasises close supervision and benefits from up-to-date facilities in a new building; the faculty also scores highly in the CHE rankings. Regensburg offers lively student life on a shared campus, high quality of life in a UNESCO World Heritage city with over 30,000 students, and strong local employment prospects thanks to Bavaria’s economically robust region and many successful companies.
Requirements / quick facts
This full-time MSc runs over three semesters, with the final semester devoted primarily to the independently researched Master's thesis. During the taught part of the programme, students take advanced and applied modules that build specialist mathematical tools for business and industry; several of these modules may optionally be substituted by supervised research projects. Those projects can be academic in nature or carried out in collaboration with companies, giving a practical, industry-oriented option.
Key learning outcomes include developing advanced quantitative and modelling skills applicable to commercial and industrial problems, gaining hands-on experience through project work (including collaborations with industry partners), and completing a substantial piece of independent research in the form of the Master’s thesis. The programme can be completed entirely in English, and international students are supported both academically and with administrative matters to help with study and relocation.
For a full list of modules, detailed course descriptions and the official curriculum file, consult the programme web page and the downloadable PDF syllabus.
Program structure & requirements (high level)
This programme accepts applications from both domestic and international candidates. Admission is limited and based on academic background: applicants must hold a Bachelor's degree in Mathematics or an equivalent subject as assessed by the programme’s selection board, and must meet the minimum academic standard described below. Note that places are capped each semester, so meeting the minimum requirements does not guarantee admission.
Regarding prior study and credits, a Bachelor’s degree is normally expected to comprise 210 ECTS, although degrees with at least 180 ECTS are eligible. Applicants must have earned at least 30 credit points (CP) in mathematical core areas during their undergraduate studies. If your Bachelor’s degree contains fewer than 210 ECTS, you will be required to make up the missing credits by passing corresponding examinations within the first two semesters of the Master’s programme.
International applicants whose qualifications were obtained outside Germany should include a uni-assist evaluation (VPD). If your degree grade does not meet the German-equivalent cut-off, there is an alternative proof option (see bullets). If English is not your native language, you must also submit an appropriate language certificate. For full details and application support, consult the programme’s official admissions information.
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 July 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates are prepared for roles that require advanced mathematical modelling and computational skills, including positions in actuarial science and finance, industrial analytics, information technology, and applied research. The programme’s strong practical focus, lab-based projects and internship options help students gain work-ready experience and industry contacts.
Being based in Regensburg offers access to a dynamic regional economy in Bavaria, where many successful companies recruit mathematicians for quantitative and technological roles. Alumni can expect to work in industry, finance, IT, consulting, or continue into research-related careers.