Master's programme in Systems, Control and Robotics
The purpose of the master’s programme in Systems, Control and Robotics is to equip students with the skills necessary to analyse, design and control complex technical systems. Such systems are key components in infrastructure and industry, and host a wide array of functions in our daily lives. Therefore, the successful integration of cutting-edge training in engineering with a balanced, holistic systems perspective will remain a crucial area of specialisation for the future.
Systems, Control and Robotics at KTH
The master’s programme involves team collaborations and projects emphasising the academic and cultural diversity of the field. Students will be able to incorporate and use KTH’s strong ties with research and industry leaders for their thesis project in the second year, providing them with excellent career opportunities.
The programme starts with mandatory courses that covers systematic methods for building mathematical models of technical systems from basic physical relations and measured data, and theory and methodology of science. The programme continues with courses given in one of the four tracks chosen by the student.
Robotics and autonomous systems: This track is intended for students that are interested in autonomous systems. This track has a somewhat broader scope and also looks, for example, at sensing and perception in addition to control.
Networked control systems: The track is intended for students who are interested in future industrial or academic careers within the area of networked control systems. Examples of these systems include, among others, autonomous agents and vehicles, smart electricity grids, smart buildings and factories, and communication networks.
Systems and control theory: This track provides a strong theoretical basis for a future industrial or academic career in complex system design and analysis.
Electric energy systems: This track is intended for students who are interested in systems and control with applications to electric power systems and electrical machines.
In addition to courses associated with the tracks, there are also a large number of elective courses. Finally, each student should take one or two non-technical courses. A small seminar-based course discussing issues related to being an engineer in systems and control runs over the two years.
Master degree project
All students 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 in 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 wishing to go into 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, Computer Science 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.
Find out what students from the programme think about their time at KTH.
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 Electronics at KTH is currently ranked 26th in the world by QS (17th in 2016, 16th in 2015). The area of Automation and Control at KTH is ranked 12th in the world by Academic Ranking of World Universities (ARWU), the Shanghai ranking. Most courses in the programme are taught by the Department in Automatic Control and the Department of Robotics, Perception and Learning (RPL).