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MSc Systems, Control and Robotics

The master's programme in Systems, Control and Robotics focuses on the analysis, design and control of robots, autonomous vehicles, and other complex technical systems. It 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.

Application deadlines for studies starting August 2024

16 October (2023): Application opens
15 January: Last day to apply
1 February: Submit documents and, if required, pay application fee
21 March: Admission results announced

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Systems, Control and Robotics at KTH

The master's programme in Systems, Control and Robotics equips you 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 essential today and will become even more important as new technology enters our workplaces, homes and shared public spaces.

The programme starts with a few mandatory courses that provide a solid foundation in systems, control and robotics, as well as scientific methodology in general. It continues with courses on one of two tracks chosen by the student. In addition to courses associated with the tracks, there are many elective courses within the broad areas of AI, machine learning and control. To be prepared for a diversity of future careers, you will also take a project 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 analysing and synthesising 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).

Programme Presentation

In this recording from October 2023, you will learn everything about the master's programme in Systems, Control and Robotics. Programme director Petter Ögren and student Magnus host the webinar.

Topics covered

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

Courses in the programme

Master degree project

All students complete a degree project, typically during the second half of the second year, upon completing 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 degree project offers an excellent opportunity to develop contacts and the skills necessary to work within a research group. For those students wishing to enter industry, it serves as an important introduction and practical foundation for a career with a prospective employer.


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

Magnus from Germany

"I was happy to discover that the university offers a wide variety of courses, many of which are practice oriented. After reading about other students' experiences, I was convinced this would be the right university and programme for me."

Magnus from Germany

Meet the students


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. It 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 designing and analysing complex technical systems, this master's programme provides a strong foundation in 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

"I am working at Scania in the R&D department. I am currently working with developing a test automation framework for the powertrain testing department. There is a lot of collaboration with different people which I really enjoy."

Valeria Reynaga-Barba, Scania

Meet the graduates

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:

Sustainable development goal 3. Good Health and Well-Being
Sustainable development goal 8: Decent Work and Economic Growth
Sustainable development goal 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 production lines more efficient and safe for human workers, and older adults more independent by providing adaptive robotic assistants. Thus, goal #3 (Good Health and Well-being) is addressed by safer factories and better care. 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.

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 23rd in the world by QS (23rd in 2022, 18th in 2021, 17th in 2020). The area of Automation and Control at KTH is ranked 23rd (23rd in 2022, 20th in 2021) 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 

KTH's virtual campus tour

Andrés from Mexico is a student at the school of Electrical Engineering and Computer Science (at KTH). In the virtual tour he and some other KTH students will show you around the campuses.

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