KTH Royal Institute of Technology
MSc Systems, Control and RoboticsStockholm, Sweden
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Aug 2025
TUITION FEES
SEK 342,000 / per year *
STUDY FORMAT
On-Campus
* non-EU/EEA/Swiss is 342,000 SEK.
Key Summary
Introduction
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.
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).
Admissions
Curriculum
Year 1
The following course requirements need to be satisfied to get a degree:
- all common mandatory courses of 30 credits
- all mandatory courses of 15 credits depending on track
- at least 21 credits of the conditionally elective courses depending on the track
- at least one project course completed
- degree project equivalent to 30 credits completed
- freely elective courses up to 120 credits
Compulsory and conditionally elective courses from one track are recommended on all other tracks.
A course can only be listed once below and is listed only as compulsory if it is compulsory on one track and only conditionally elective on another. Please use the course list for each separate track for a complete account of the conditionally elective courses.
Mandatory courses for all tracks
- Introduction to Robotics (DD2410) 7.5 credits
- The Sustainable Systems and Control Engineer (EL2220) 3.0 credits
- Control Theory and Practice, Advanced Course (EL2520) 7.5 credits
- Modelling of Dynamical Systems (EL2820) 7.5 credits
Year 2
The following course requirements need to be satisfied to get a degree:
- all common mandatory courses of 30 credits
- all mandatory courses of 15 credits depending on track
- at least 21 credits of the conditionally elective courses depending on the track
- at least one project course completed
- degree project equivalent to 30 credits completed
- freely elective courses up to 120 credits
Compulsory and conditionally elective courses from one track are recommended on all other tracks.
A course can only be listed once below and is listed only as compulsory if it is compulsory on one track and only conditionally elective on another. Please use the course list for each separate track for a complete account of the conditionally elective courses.
Mandatory courses for all tracks
- Theory and Methodology of Science (Natural and Technological Science) (AK2030) 4.5 credits
- Degree Project in Computer Science and Engineering, specializing in Systems, Control and Robotics, Second Cycle (DA236X) 30.0 credits
- Degree Project in Electrical Engineering, specializing in Systems, Control and Robotics, Second Cycle (EA236X) 30.0 credits
- The Sustainable Systems and Control Engineer (EL2220) 3.0 credits
Program Outcome
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 production 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.
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 production 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.
- Control and Automation Specialist
- Robotic Navigation and Perception Specialist
- AI and Machine Learning Specialist
- Robotics Engineer
- Academic Career
Scholarships and Funding
KTH offers four different scholarship opportunities for master's studies. The KTH Scholarship covers the tuition fee of a one or two year master’s programme. The KTH One-Year Scholarship is aimed at current KTH master's programme students and covers the tuition fee of the second year of studies. The KTH Joint Programme Scholarship is aimed at students in certain joint programmes and covers the tuition fee for the study period spent at KTH. The KTH India Scholarship is aimed specifically at students from India.
- KTH Scholarship
- KTH One-Year Scholarship
- KTH Joint Programme Scholarship
- KTH India Scholarship
Swedish Institute
The Swedish Institute (SI) offers a number of scholarships for students from targeted countries coming to Sweden.
KTH associated scholarship organisations
KTH cooperates with the following organisations providing scholarship opportunities for prospective KTH students.
- COLFUTURO (Programa Crédito Beca) for students from Colombia
- LPDP (Indonesia Endowment Fund for Education) for students from Indonesia
- FUNED for students from Mexico
Scholarship portals
IEFA database
The IEFA database offer a comprehensive scholarships search, grant listing and international student loan programmes.
Studyportals
The Studyportals scholarship database lists over 1,000 scholarship and grants for students worldwide applying for studies in the EU.
Scholars4dev
Scholarships for Development is a database of scholarships open to students from developing countries.
WeMakeScholars
WeMakeScholars helps students from India secure education loans from banks and NBFCs. They also lists more than 26,000 international scholarships from different trusts, foundations and govt. bodies.
Deferment of student loans in the United States
KTH is an accredited institution at the US Department of Education and holds a Title IV 'Deferment Only' status (OPE ID 03274300). US students may defer payments on existing federal student loan accounts while enrolled in a master’s programme at KTH. The 'Deferment Only' status does not allow students to take out federal student loans for enrolment at KTH. However, the accreditation facilitates grant and loan opportunities for US students as many private student loan institutions in the US use this designation as a requirement to grant new loans. Students who wish to defer payments must contact their lending institution in the US.
Several scholarship options are available. Please check the institute website for more information.
Gallery
Career Opportunities
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.