Systems, Control and Robotics

Overview

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.

Career

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.