Overview This English-taught master's programme builds a solid foundation in computational mechanics and structural analysis while linking those methods directly to advanced civil engineering design. It trains you to use numerical simulation as a practical tool for solving complex engineering problems, emphasizing both the theoretical underpinnings and hands-on application of modelling and analysis.
What you will learn You will develop skills to understand, set up and interpret computational models within the wider context of design and real-world application. The curriculum focuses on the theory and practice of computational mechanics, contemporary research topics in numerical structural analysis, recent trends in civil engineering design, and modern construction techniques. Graduates are prepared to contribute to technical innovation where simulation-based methods play a central role.
Application guidance (check the official programme page for exact criteria)
Curriculum overview
This modular Master's programme is taught through lectures, exercises, seminars, tutorials and project work, and is designed to be reinforced by guided self-study supported through a mentoring programme. The degree is split into two stages: a three‑semester taught phase worth 90 ECTS, followed by a research-oriented fourth semester (30 ECTS) devoted to the Master's thesis and a colloquium. The taught phase combines eight compulsory modules, an application-based science project with a presentation, and five elective modules chosen from a list of twelve specialist topics.
Key modules and learning outcomes
Core modules build a strong foundation in materials and mechanics (Building Materials; Continuum Mechanics and Tensor Calculus), numerical techniques (Numerical Methods; Energy Methods and the Finite Element Method) and professional study skills (Mentoring Programme for Study and Methodological Skills). Advanced and elective modules let you specialise across structural and computational topics such as reinforced concrete and bridge design, lightweight and timber structures, constitutive soil modelling, computational dynamics, multiscale mechanics, building physics and pavement modelling, as well as contemporary themes like Building Information Modelling (BIM), form‑finding, structural use of glass and zero‑carbon design with digital twins. The application-based science project and its presentation, together with the thesis and colloquium, develop experimental and computational research skills, the ability to apply computational engineering methods to real problems, and professional communication of results.
What you will be able to do on completion
Programme requirements (concise)
This programme seeks candidates who have already completed an engineering undergraduate degree and who can show strong quantitative and engineering fundamentals. Admissions focus on academic performance and a firm command of the mathematical and mechanics topics that underpin advanced structural and computational work.
If you studied outside the German system, the admissions committee will evaluate your degree and grades against their expectations for “above-average” performance; include official transcripts and any documentation that explains your grading scale. You should be prepared to demonstrate prior coursework and skills in relevant mathematics and mechanics subjects so you can follow the programme’s analytical and modelling components from the start.
Winter Semester (International)
31 May 2026
Winter Semester (EU/EEA)
31 May 2026
Graduates are prepared for technical and research roles that require advanced computational and structural analysis skills. Typical career paths include positions in engineering consultancies and design firms, infrastructure and construction companies, software vendors for simulation and BIM tools, and public-sector agencies overseeing structural projects.
The programme also provides a solid foundation for doctoral research, particularly in computational mechanics, numerical structural analysis or digital construction methods, due to its research-oriented modules and the independent Master’s thesis.
Technical University of Munich — München
Deggendorf Institute of Technology — Cham
SRH University — Heidelberg
RWTH Aachen University — Aachen