Engineering Cybernetics MSc

University of Stuttgart · Stuttgart, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Stuttgart
Apply by
Register by 15 January 2027
Starts
Winter semester

University of Stuttgart does not publish a fee for this programme on its own. Its published rate for master's programmes is €3,000 a year for international students.

Entry requirements and how to apply

Entry requirements
Bachelor of Science in a related field with focus on mathematics, modelling, and systems and control
English language requirement
C1 required, please provide an official language certificate, e.g.: TOEFL iBT (since 2026): 5 IELTS Academic: 7 TOEFL iBT (before 2026): 95
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the winter semester: 15 November - 15 January
Apply through
Please check this website .

About this programme

Cybernetics in a Nutshell: Autonomy, Robotics and More How do you land a rocket? What does it take to make a robot move like a human? The Master’s programme in Engineering Cybernetics at the University of Stuttgart equips students to master complex dynamic systems through advanced control, modelling, and optimisation techniques. It bridges theory and application, preparing graduates to innovate in autonomous systems, robotics, and cutting-edge engineering systems. Cybernetics comes from the Greek word κυβερνήτης for “helmsman”. It was coined by Norbert Wiener to describe a new discipline dedicated to the study of fundamental feedback mechanisms enabling complex behaviours in “the animal and the machine”. Since then, it has been used to denote the study of control, communication and computation problems that underpin today’s autonomous and intelligent technologies. This study programme develops extensive and broad knowledge through methodologically oriented courses in the core areas of control, system dynamics, and modelling. A distinguishing feature is the strong emphasis on foundational courses in these areas through in-depth use of mathematical tools. This is complemented by a large choice of specialised courses relevant to the field of autonomy, such as, for example, robotics, biomedical technologies, and transport systems. Upon completion, you will be competent in the task of abstracting complex problems arising in traditional and modern engineering applications (aerospac

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