This programme prepares you to design, build and program intelligent robotic solutions for industrial and societal applications, with a strong emphasis on integrating artificial intelligence to enhance human–robot collaboration. As the use of robots in production grows to boost productivity and deliver safer, higher‑quality, cost‑effective products, demand is rising for cooperative robots such as autonomous mobile robots (AMRs) and cobots. The curriculum brings current technological advances and trends into teaching so you can work at the cutting edge of robotics engineering.
Taught in English within the field of Mechanical Engineering, the MSc combines theory and engineering practice to give you the skills needed to create complex robotic systems. You will work on topics spanning sensor technology, control structures, AI algorithms, condition monitoring and autonomous decision‑making, learning to design, implement, evaluate and optimise systems for real‑world industrial use.
To let you specialise according to your career goals, the programme offers three dedicated study tracks:
Key information for applicants
This Master’s curriculum combines rigorous engineering coursework with practical, project-based experience to prepare you for advanced roles in robotic systems. Core engineering modules deliver the technical foundations, while elective courses let you tailor your studies toward areas such as control, perception, mechatronics or software for robots. Practical components—either an industry internship or a research project—ensure you put theory into practice before completing the degree with a Master’s thesis.
Key modules and learning outcomes are oriented toward developing both specialist knowledge and transferable skills. You will deepen your understanding of robotic design, modelling and control, and gain hands-on experience integrating hardware and software. The programme also builds research capabilities and professional competencies, including technical communication and teamwork; language courses support international mobility and collaboration. The Master’s thesis can be completed within one of the university’s institutes or carried out externally in cooperation with a company, giving you flexibility to pursue academic research or an industry-focused project.
For a full breakdown of course contents, module descriptions and the programme timetable, please consult the MSc RoboSys website.
Program requirements (components)
Please consult the program webpage for the full, official admission information and any updates. In general, applicants need a relevant undergraduate degree and a solid foundation in engineering fundamentals. The admissions process looks for evidence that you have the academic background to succeed in an advanced mechanical-engineering–oriented master’s program as well as some practical exposure to the field.
In addition to the degree and core knowledge, applicants must demonstrate either a qualifying GRE score or completion of a German engineering college program, and have accumulated at least six months of relevant work experience by the time they apply. If anything in your profile is unclear (degree equivalence, what counts as relevant experience, or how to submit test scores), contact the admissions office or check the website for precise instructions.
Admission requirements (summary)
If you need clarification about degree equivalency, acceptable forms of work experience, or how to submit GRE or college documentation, please refer to the program’s admission web page or contact admissions directly.
Winter Semester (International)
1 March 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for engineering and development roles in robotics and automation, including positions as robotics engineers, control systems engineers, AI/ML engineers for robotic applications, and systems integrators. The programme’s emphasis on AI, sensor technology and autonomous systems suits careers in manufacturing, automotive, logistics, healthcare robotics, and automation startups.
Many alumni can also pursue R&D roles or doctoral studies, work in industry research labs, or take on product development and application engineering positions where designing, implementing and deploying intelligent robotic systems and human‑robot collaboration solutions are required.
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