Overview This English-taught Master's is the international counterpart to a long-standing German programme (founded in 1972) with a strong reputation for quality education. The curriculum is methodologically driven and builds broad, in-depth competence across the central pillars of engineering cybernetics: control, robotics, system dynamics, and modelling & simulation.
Programme profile The course sequence places particular emphasis on foundational subjects and heavy use of applied mathematical techniques, so students develop rigorous analytical and computational skills. Graduates learn to abstract complex, real-world engineering problems and to apply systems-theoretic approaches, dynamical-systems modelling, simulation and computational methods to analyse and design control solutions. Typical application areas include aerospace, mechanical and automotive engineering, biomedical systems and energy systems, making the degree relevant for both industry and research careers.
Entry snapshot (typical expectations)
For exact admission criteria, required documents, and language-test scores, consult the university’s official admissions information.
This program is built around three main components that together form the full master’s-level workload: a taught lecture program, a practical industrial placement, and an independent master’s thesis. In total the curriculum amounts to 120 ECTS: 75 ECTS of lecture-based coursework, a 15 ECTS industrial internship, and a 30 ECTS master’s thesis. The structure balances advanced classroom learning with hands‑on industry experience and a substantial research project.
The 75‑ECTS lecture component comprises core and elective modules that develop depth in engineering cybernetics within the broader field of electrical engineering. The 15‑ECTS internship places you in a real industrial setting where you apply classroom methods to practical problems and gain professional experience. The 30‑ECTS master’s thesis is an individual research or development project that demonstrates your ability to formulate a technical problem, carry out an in‑depth investigation, and present results in written and oral form.
Learning outcomes
Curriculum requirements (summary)
Admission requirements
You must hold a Bachelor of Science (B.Sc.) degree in a closely related discipline that provides a solid foundation in the technical areas this master’s builds on. The undergraduate program should have placed strong emphasis on mathematics, mathematical modelling, and systems-and-control topics.
International applicants should ensure their B.Sc. is considered equivalent to the required standard and be able to document the relevant coursework (transcripts, course descriptions) that demonstrates preparation in these core areas.
Winter Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 January 2027
Graduates are prepared for technical roles that require abstraction and mathematical modelling of complex dynamical systems and for designing and analysing control systems. Typical career paths include control engineer, robotics engineer, systems modeller, simulation engineer, or R&D specialist in sectors such as aerospace, mechanical engineering, biomedical engineering and energy systems. The programme’s compulsory industrial internship and international partner links also facilitate transitions into industry positions or further academic research (PhD) and provide practical experience valued by employers in both national and international organisations.
Offenburg University of Applied Sciences — Offenburg
RPTU University Kaiserslautern-Landau — Kaiserslautern
RWTH Aachen University — Aachen
Chemnitz University of Technology — Chemnitz