M.Sc. On Campus

Systems, Control and Robotics

KTH Royal Institute of Technology

24 months
14505 EUR/year
Tuition fee
Apply date
Start date


The Systems, Control and Robotics programme from KTH Royal Institute of Technology focuses on the analysis, design and control of robots, autonomous vehicles, and other complex technical systems. 


The Systems, Control and Robotics programme from KTH Royal Institute of Technology provides broad skills in the field and expertise through specialisations going deeper into areas such as autonomous sensing, AI, machine learning, decision making and control. Graduates face interesting careers, often in the robotics and autonomous vehicles industry, or as PhD students.

The master’s programme in Systems, Control and Robotics equips students with the skills necessary to analyse, design and control complex technical systems such as robots and other systems with significant autonomous capabilities. These systems are important today and will become even more important as new technology makes its way into our workplaces, homes and shared public spaces.


A two-year master’s degree in Systems, Control and Robotics rests on a core set of courses in systems, control and robotics and related subjects, and provides the opportunity to utilise a unique cross-section of courses from different disciplines – integrating, for example, Artificial Intelligence, Machine Learning and Control Theory – in order to create a comprehensive education. 

As systems, control and robotics engineers require extensive training in the design and analysis of complex technical systems, this master’s programme provides a strong foundation in both theory and practice. Graduates from the programme often end up in the robotic and autonomous vehicle industry, such as ABB and Scania, or as PhD students at KTH and other universities.

Programme Structure

Courses include:

  • Robotics 
  • The Sustainable Systems and Control Engineer 
  • Control Theory and Practice, Advanced Course 
  • Modelling of Dynamical Systems
  • Deep Learning, Advanced Course
  • Project Course in Robotics and Autonomous Systems
  • Probabilistic Graphical Models 
  • Deep Learning in Data Science
  • Project Course in Data Science

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

A bachelor's degree, corresponding to 180 ECTS credits, in Computer Science, Electrical Engineering, Mathematics, Physics, Vehicle Engineering, Mechanical Engineering or equivalent including basic mathematics courses in linear algebra, calculus in one and several variables, probability theory and computer science. In addition a course in signals and systems that includes material about time-continuous and time-discrete systems, sampling, linear filters and systems, transform methods (Laplace and Z) and a course in control engineering is required. The above can also be described as the student having completed courses corresponding to the following KTH courses:

  • SF1624 Algebra and Geometry
  • SF1625 Calculus in One Variable
  • SF1626 Calculus in Several Variables
  • SF1920 Probability Theory and Statistics
  • SF1683 Differential Equations and Transforms
  • EL1000 Automatic Control, General Course
  • DD1315 Programming Techniques and Matlab

Tuition Fee

To alway see correct tuition fees
  • International

    14505 EUR/year
    Tuition Fee
    Based on the tuition of 29011 EUR for the full programme during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.
  • The full programme tuition fee for non-EU/EEA/Swiss citizens studying this programme is SEK 310,000.

Living costs for Stockholm

9668 - 17248 SEK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Systems, Control and Robotics
KTH Royal Institute of Technology


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