M.Sc. On Campus

Systems, Control and Robotics

KTH Royal Institute of Technology

24 months
14619 EUR/year
Tuition fee
Apply date
Start date


The Systems, Control and Robotics programme at KTH Royal Institute of Technology equips students with the skills necessary to analyse, design and control complex technical systems such as robots, autonomous vehicles or any other system that has a significant autonomous capability. 


The Systems, Control and Robotics programme at KTH Royal Institute of Technology starts with a few mandatory courses that provide a solid foundation in the area of systems, control and robotics, as well as scientific methodology in general. 

The programme continues with courses on one of two tracks chosen by the student. In addition to courses associated with the tracks, there are a large number of elective courses within the broad areas of AI, machine learning and control. 

In order to be prepared for a diversity of future careers, students will also take a project course and a non-technical course of choice, and participate in a seminar series in which an opportunity is provided to reflect on the societal context of systems, control and robotics, such as sustainability and ethics.


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

Topics covered:

  • Robotics
  • Control theory
  • Artificial intelligence
  • Machine learning
  • Dynamical systems

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, 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 including 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 to have completed courses corresponding to the following KTH courses:

  • Algebra and Geometry
  • Calculus in One Variable
  • Calculus in Several Variables
  • Probability Theory and Statistics
  • Differential Equations and Transforms
  • Automatic Control, General Course
  • Programming Techniques

Tuition Fee

To alway see correct tuition fees
  • International

    14619 EUR/year
    Tuition Fee
    Based on the tuition of 29239 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.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Systems, Control and Robotics
KTH Royal Institute of Technology


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