The two-year Master of Science programme Systems and Control (SC) concerns the analysis and control of dynamic systems in their widest sense. The programme addresses both fundamental and application-specific features, emphasizing the multidisciplinary character of the field. It is aimed at students having a background in technical sciences, physics and mathematics.

Topics addressed in the programme include:


Modelling. Obtaining a mathematical model that reflects the main features. A mathematical model may be represented by difference or differential equations, but also by inequalities, algebraic equations, and logical constraints.


Analysis and simulation of the mathematical model.


Prediction and estimation.


Control. By choosing inputs or, more general, by imposing additional constraints on some of the variables, the system may be influenced so as to obtain certain desired behaviour. Feedback is an important example of control.

The programme is driven by practical problems and concrete applications. The major aim is to develop methods and tools that are applicable not only to the specific application but to a wide range of similar problems. At the same time there is a strong interest in applying general theoretic results to specific technological problems. Within the programme students make a choice for one of three specialisations:


Robotics & Mechatronics




Control Theory

Participating chairs

Robotics and Mechatronics (RaM, department of Electrical Engineering)

Mechanical Automation and Mechatronics (MA, department of Mechanical Engineering)

Biomechanical Engineering (BME, department of Mechanical Engineering)

Hybrid Systems (HS, department of Applied Mathematics)

Depending on the chair, the focus is on both fundamentals and applications in:


biomechanical engineering end biorobotics (BME);


robotics, precision equipment and MEMS (RaM and MA);


hybrid systems (HS).




Robotics & Mechatronics

RaM and MA

Robotics, precision equipment and MEMS



Biomechanical Engineering and Biorobotics

Control Theory


Hybrid Systems

Final attainment levels

The graduated Master of Systems and Control Engineering meets, to a sufficient level, the following qualifications:


Broad and profound knowledge of engineering sciences (electrical engineering, mechanical engineering, applied physics, mathematics) and the capability to apply this knowledge at an advanced level in the systems-and-control-engineering discipline.


Broad and profound scientific and technical knowledge of the systems- and control engineering discipline and the skills to use this knowledge effectively. The discipline is mastered at different levels of abstraction, including a reflective understanding of its structure and relations to other fields, and reaching in part the forefront of scientific or industrial research and development. The knowledge is the basis for innovative contributions to the discipline in the form of new designs or development of new knowledge.


Thorough knowledge of paradigms, methods and tools as well as the skills to actively apply this knowledge for analysing, modelling, simulating, designing and performing research with respect to innovative technological dynamical systems, with an appreciation of different application areas.


Capability to independently solve technological problems in a systematic way involving problem analysis, formulating sub-problems and providing innovative technical solutions, also in new and unfamiliar situations. This includes a professional attitude towards identifying and acquiring lacking expertise, monitoring and critically evaluating existing knowledge, planning and executing research, adapting to changing circumstances, and integrating new knowledge with an appreciation of its ambiguity, incompleteness and limitations.


Capability to work both independently and in multidisciplinary teams, interacting effectively with specialists and taking initiatives where necessary.


Capability to effectively communicate (including presenting and reporting) about one’s work such as solutions to problems, conclusions, knowledge and considerations, to both professionals and non-specialized public in the English language.


Capability to evaluate and assess the technological, ethical and societal impact of one’s work, and to take responsibility with regard to sustainability, economy and social welfare.


Attitude to independently maintain professional competence through life-long learning.