Solving Real-World Challenges with Computer-Based Methods
New International Master's Program "Computational Methods and Machine Learning in Engineering" starts in 2026 at TU Hamburg
12.11.2025
How thick does an airplane wall need to be to be both lightweight and sufficiently stable? How should the steel cables or beams of a bridge be designed so that it does not collapse under its own weight, yet withstands all other loads with ease? What should the shape of a ship look like to transport as much as possible with minimal energy consumption? These are real engineering challenges that students of the new international master's program "Computational Methods and Machine Learning in Engineering" at TU Hamburg may soon be working on. To analyze and solve such complex physical problems, they will learn simulation techniques—such as those for deformation of structures, calculation of load-bearing capacity, motion, or fluid dynamics—as well as numerical modeling and algorithm development.
“Through virtual simulations instead of purely physical experiments and by using computer-based techniques, rapid, safe, and cost-effective innovations and decision-making foundations can be developed in engineering practice,” explains Prof. Dr.-Ing. Benedikt Kriegesmann, who initiated the new program at TU Hamburg.
Besides the aspect of machine learning, he particularly emphasizes the multidisciplinary character of the field, which combines principles from engineering, computer science, and applied mathematics. Prepared for the Workforce of Tomorrow Accordingly, the English-language master's program is aimed at bachelor's graduates in engineering disciplines, especially mechanical engineering, civil engineering, technical mathematics, or computational engineering. Over four semesters, both theoretical fundamentals such as differential equations and numerical methods, as well as practical application mainly through programming, are taught. “The hallmark of this new field is its focus on real engineering challenges using computer-based methods,” summarizes Benedikt Kriegesmann. “Graduates will be prepared for the workforce of tomorrow in research, development, and industrial innovation.”
Hamburg as an Ideal Location
The multitude of physical challenges within the fields of maritime and aerospace alone makes the Hanseatic city an ideal location for the master's program: “Hamburg is a highly dynamic region with excellent growth and career opportunities. With its port and various international aerospace companies, the metropolis not only offers plenty of practical examples and simulation potential but also attractive professional prospects,” says Kriegesmann.
The collaboration with major companies such as Airbus, Bosch, and the Hamburg Port Authority, as well as with universities already offering this field, confirms how sought-after graduates are in the job market. “Especially with their solid foundations in programming, numerical methods, and domain-specific knowledge, they can really impress future employers.” And for the aspiring simulation engineers, system developers, structural analysts, or research scientists—to name just a few key professional fields—numerous other industries are open as well: from the automotive industry to biomedical engineering, the energy sector, defense, and science. From the gateway to the world and with the international master’s degree in hand, of course far beyond the borders of Hamburg. The new international master’s program will start in the winter semester 2026/27 at TUHH. The application phase begins in December 2025.
More information:
https://www.tuhh.de/tuhh/ … computational-engineering
See also: https://www.tuhh.de/tuhh/st ... s/computational-engineering
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