This English-taught master's brings together engineering sciences, mathematics and applied computer science to train students in mathematical modelling and computational analysis of physical processes found across engineering disciplines. The programme emphasizes building rigorous mathematical descriptions of real-world systems and translating those descriptions into reliable numerical simulations.
You will work on formulating and solving concrete problems in physical modelling, mathematical representation and numerical simulation, and you will carry out and critically evaluate complex numerical analyses of engineering processes. The course also develops project skills: planning, executing and presenting the results of (sub-)projects within increasingly interdisciplinary teams. Graduates leave with the ability to both create new computational approaches and enhance existing technologies through modelling and simulation.
The master’s prepares you for technically focused roles in industry and for academic research. It equips you to contribute to development and improvement of engineering technologies and also enables independent research, serving as a pathway to doctoral studies in civil, mechanical or electrical engineering or in mathematics.
Typical applicant background and expectations
Check the programme’s official admissions page for the precise formal entry requirements and application details.
This interdisciplinary Master’s program is built around a 120-credit curriculum that combines advanced mathematics, engineering specialisations and computational methods with hands‑on research. The structure is designed to give you a strong theoretical foundation, opportunities to specialise in engineering application areas, and significant practice in computational modelling and scientific programming. The programme culminates in a supervised research project and an extended master’s thesis that demonstrate independent problem‑solving and research skills.
Key learning outcomes include the ability to apply advanced mathematical techniques to engineering problems, design and implement computational methods for simulation and analysis, and deepen expertise in a chosen engineering profile. Through compulsory elective modules and project work you will gain practical experience in modelling, numerical methods, and software tools used in computational engineering. The Career Entry Qualifications component targets the transition to professional practice, while the research project and master’s thesis develop your capability to carry out independent research and communicate results to technical audiences.
Below are the programme components with their credit weights and a short note on what each delivers.
Mathematics (MAF) — 20 credits
Provides the advanced mathematical foundation required for rigorous modelling and analysis in computational engineering.
Engineering profiles (ENG, compulsory elective) — 15 credits
Specialisation modules from engineering application areas. Available profiles include: Solid and Structural Mechanics; Fluid Mechanics; Information Technology.
Computational Engineering and Methods (CEM, in‑depth compulsory elective) — 15 credits
Focused training in numerical methods, algorithm development and computational techniques central to engineering simulations.
Career Entry Qualifications (CEQ) — 10 credits
Modules aimed at preparing you for professional practice and facilitating the transition from study to employment.
Elective area (ECL) — 15 credits
Flexible credit slot to broaden or deepen knowledge in complementary topics or interdisciplinary subjects.
Student research project (PRO) — 15 credits
A supervised project that applies computational methods to a concrete engineering question, building research and project management skills.
Master’s thesis (MTH) — 30 credits
A substantial independent research or development project that demonstrates your ability to formulate problems, carry out in‑depth analysis, and present results.
Total programme workload: 120 credits.
This programme is intended for applicants who hold a relevant undergraduate degree and who already have a solid, subject-specific foundation. Eligible prior qualifications include a Bachelor's degree (or equivalent) in Engineering Sciences, Natural Sciences, Mathematics, Computer Science or a closely related field. Degrees from other countries are considered if they are equivalent to these areas of study.
You must be able to demonstrate strong, in‑depth knowledge of the programme’s core foundational subjects — for example mathematics, mechanical engineering and information processing. Evidence of these competencies should be clear from your submitted degree certificate and transcript, which must list the courses you took and the marks or grades you received. In addition to academic qualifications, both German and English language proficiency are required (see the programme’s language requirements section for specific tests and levels).
Admission requirements (summary)
Winter Semester (International)
15 March 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for technical and R&D roles applying mathematical modelling and numerical simulation to engineering problems, such as positions in simulation engineering, computational design, software development for engineering applications, and technical consulting. They will have the skills to lead and contribute to interdisciplinary project teams, develop and improve engineering technologies, and communicate technical results effectively.
The programme also provides a strong foundation for academic careers: graduates are qualified to pursue doctoral studies in civil, mechanical or electrical engineering, or in mathematics, and can work in research institutes or university settings in addition to industry roles in sectors like automotive, aerospace, energy, civil engineering and high-tech companies.
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