MSc Systems, Control and Robotics

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, autonomous vehicles or any other system that has a significant autonomous capability. 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.

Application dates for studies starting in Autumn 2021

16 October 2020: Application opens
15 January 2021: Application deadline
1 February 2021: Deadline for supporting academic documents (all applicants) and documentation of fee exempt status (if required) or receipt of application fee (if required)
9 April 2021: Notification of selection results
August 2021: Arrival and start of studies

Systems, Control and Robotics at KTH

The master’s programme 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.

Robotics and autonomous systems

This track focuses on autonomous mobile systems that act in a dynamic world, including robots, drones and autonomous vehicles. Such systems need to act rationally based on information from complex sensors such as cameras or laser scanners to achieve both short- and long-term objectives in a changing world.

Learning, Decision and Control Systems

This track focuses on analysis and synthesis of decision and control systems, both model-based, including classical control systems and AI, as well as data-driven systems, with machine learning components.

This is a two-year programme (120 ECTS credits) in English. Graduates are awarded a Master of Science Degree. The programme is given mainly at the KTH Campus in Stockholm by the School of Electrical Engineering and Computer Science (at KTH). 

Topics covered

Robotics, control theory, artificial intelligence, machine learning, dynamical systems.

Courses in the programme

Master degree project

All students will carry out a degree project, typically during the second half of the second year, upon completion of the necessary programme credits. The project may involve work in a relevant industry or a department at KTH, and may be combined with course work. For students who wish to pursue a career in research, the thesis project offers an excellent opportunity to develop contacts and the skills necessary to work within a research group; and for those students wishing to enter industry, it serves as an important introduction and practical foundation for a career with a prospective employer.


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.

After graduation

Control and Automation Specialist, Robotic Navigation and Perception Specialist, AI and Machine Learning Specialist, Robotics Engineer, Academic Career

Meet the graduates


Find out what students from the programme think about their time at KTH.

"One of my favorite memories so far at KTH was an individual project that another student and I were allowed to work on over an entire semester, where we worked with a robot and sonar system to map glacial fronts."

Anna Madlener, Germany

Meet the students

Sustainable development

Graduates from KTH have the knowledge and tools for moving society in a more sustainable direction, as sustainable development is an integral part of all programmes. The three key sustainable development goals addressed by the master's programme in Systems, Control and Robotics are:

3. Good Health and Well-Being
8 Decent Work and Economic Growth
9. Industry, Innovation and Infrastructure

It is the strong development in the area of Systems, Control and Robotics that is currently making cars more autonomous, robotic productions lines more efficient and safe for human workers, and elderly people more independent by providing adaptive robotic assistants. Thus, goal #3 (Good Health and Well-being) is addressed by safer factories and better care of the elderly. Goal #8 (Decent Work and Economic Growth) is addressed by safer and more efficient factories, and goal #9 (Industry, Innovation and Infrastructure ) by a combination of autonomous transport and automated production lines in factories.

Webinar on sustainable development

Watch a recording of the webinar offered by the School of Electrical Engineering and Computer Science in November 2019. The webinar focused on the schools' master’s programmes and how they relate to sustainable development.

Faculty and research

The programme in System, Control and Robotics is given by the School of Electrical Engineering and Computer Science at KTH. The field of Electrical and Electronic Engineering at KTH is currently ranked 19th in the world by QS (28th in 2018, 26th in 2017, 17th in 2016, 16th in 2015). The area of Automation and Control at KTH is ranked 16th in the world by Academic Ranking of World Universities (ARWU), also known as the Shanghai Ranking. Most courses in the programme are taught by the Division of Decision and Control Systems and the Division of Robotics, Perception and Learning (RPL).

Faculty and research 

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