Overview The programme combines advanced mathematics and economics to give you the theoretical tools and practical methods needed for quantitative work in business, industry and the public sector. It places particular emphasis on current professional requirements and changing labour-market needs, while training you to conduct independent, scientifically grounded work at an advanced level. You will also learn to analyse and critically evaluate contemporary scientific literature in the fields involved. Instruction is delivered in English.
Structure and outcomes You can tailor your studies by choosing from a wide range of electives in both mathematics and economics to deepen or broaden the knowledge you gained during your bachelor’s degree. By setting individual focal points, you will engage with current research literature and carry out an individual Master’s thesis that investigates an economic-mathematical problem and develops a solution approach. A number of practice‑oriented modules are included so you gain the ability to understand and analyse complex, real‑world problems and apply mathematical methods in professional contexts.
Key programme components (requirements)
Why this is useful for international students Graduates leave with strong quantitative and analytical skills applicable to roles in business, industry and public service, as well as the research competence needed for further academic work. The programme’s flexibility and English instruction make it accessible to international students seeking a specialised, research‑led Master’s in business mathematics.
The programme follows the Bologna model, with a modular design that targets 120 ECTS in total and an expected workload of 30 ECTS per semester. This structure balances advanced mathematical training with applied business and economics content, giving you room to deepen theoretical knowledge while acquiring practical, industry-relevant skills.
Core study areas include a set of compulsory elective mathematics modules (27–30 ECTS) that expand and deepen your expertise across modern mathematical disciplines and application methods. A distinct 24 ECTS “Business and Economics” focus lets you specialise by choosing one of four tracks:
You also select free compulsory elective modules (36–39 ECTS) from an extensive list in mathematics and economics, allowing you to personalise your study profile. Within this elective block you will complete an internship, either:
The programme culminates in a 30 ECTS Master’s thesis during which you carry out an independent research or application project under the supervision of a professor. Across the curriculum you will develop advanced problem-solving and modelling skills, the ability to design and implement mathematical solutions in software, domain-specific application expertise (depending on your business focus), and the capacity to conduct independent, research-based work suitable for academic or professional careers.
Requirements (curriculum at a glance)
This master’s program is a consecutive (directly follow-up) degree intended for students who already hold a relevant bachelor’s-level education. Applicants are expected to have a strong, demonstrable foundation across mathematics, business administration and economics. Before you apply, make sure your previous degree and coursework clearly show this background.
You must have obtained the equivalent of at least 144 ECTS credits by the time you submit your application. If your bachelor’s degree comes from a non-EU system, ensure it is recognised as comparable to the listed degrees and that your transcripts explicitly document the required subject knowledge.
For full details and any additional documentation requested, consult the official admissions page: https://www.uni-marburg.de/en/studying/after-your-first-degree/masters-programs/degree-programs/m-business-mathematics
Admission requirements (concise)
Winter Semester (International)
All details can be found at:https://www.uni-marburg.de/en/studying/admissions/deadlines.
Graduates are prepared for analytically demanding roles in business, finance, industry, IT and the public sector where quantitative modelling and economic reasoning are required. Typical career paths include positions in risk and financial analysis, quantitative consulting, data-driven decision support and applied modelling roles within companies or public institutions.
The programme's emphasis on independent scientific work and algorithmic implementation also provides a solid foundation for research or doctoral studies. Practical internships and elective choices help graduates transition directly into professional projects or further academic specialisation.