Modern systems and technologies are characterised by complexity and intelligent algorithms aimed at optimising and automating their behaviour. Such technologies are the driving force behind today’s factory automation and robotic systems, driverless cars, smart biomedical devices, mobility, unmanned exploration and many others.
This course aims to impart the interdisciplinary skills, theory and competencies required to engineer, design and maintain such advanced and exciting systems.
This is ensured through a mix of lectures and applied practical sessions on signal processing, dynamic systems, computer vision and automatic control, as well as a major supervised project leading to a dissertation.
This is ensured through a mix of lectures and applied practical sessions on signal processing, dynamic systems, computer vision and automatic control, as well as a major supervised project leading to a dissertation.
The Faculty of Engineering is active in basic and applied research on several areas that address such issues. It is also equipped with state-of-the-art laboratories to bridge the gap between theory and practice.
Course details and applications are available online:
Full-time M.Sc. in Signals, Systems and Control
Part-time M.Sc. in Signals, Systems and Control