UTEducationStudent infoProgrammesSCOverview and specialisations


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:

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:

Participating chairs

Final attainment levels

The graduated Master of Systems and Control Engineering is able to a sufficient level to ... :

  1. Competence in the scientific discipline Systems & Control
    1. … apply advanced physics and measurement methods in systems and control.
    2. … design, carry out and evaluate experiments.
    3. … analyse and design high-performance measurement and control systems for a wide variety of processes.
    4. … relate scientific knowledge to dynamical systems considering their interaction with the environment.
  2. Competence in doing research
    1. … study a topic by critically selecting relevant scientific literature.
    2. … write a scientific report about own research.
    3. … develop technologies to model, identify and control dynamical systems in an interactive, uncertain and noisy environment.
    4. … generate knowledge within the discipline of Systems & Control.
  3. Competence in designing
    1. … systematically design controllers for complex dynamical systems.
    2. … generate innovative contributions to the discipline of Systems & Control.
  4. A scientific approach
    1. … integrate knowledge and information to handle complexity at the systems level.
    2. … analyse problems and use modelling, identification, simulation, design and integration towards solutions.
    3. … solve technological problems in a changing environment considering ambiguity, incompleteness and limitations.
    4. … manage own scientific research independently.
  5. Basic intellectual skills
    1. … analyse and solve technological problems in a systematic way.
    2. … identify and acquire lacking expertise.
    3. … critically reflect on own knowledge, skills and attitude.
    4. … plan and execute research in changing circumstances.
    5. … integrate new knowledge in an R&D project, considering ambiguity, incompleteness and limitations.
    6. … remain professionally competent.
  6. Competence in operating and communicating
    1. … work both independently and in multidisciplinary teams.
    2. … explain and defend systems and control outcomes to academia and industry, to specialists and laymen.
    3. … present and report in good English.
  7. Considering the temporal and social context
    1. … evaluate and assess the technological, ethical and societal impact of own work.
    2. … act responsibly with regard to sustainability, economy and social welfare.