COURSE CURRICULUM

The MSc Advanced Control and Systems Engineering offers a comprehensive curriculum designed to provide both theoretical knowledge and practical skills in modern control and systems engineering. Students begin with foundational topics such as linear systems theory and control fundamentals, establishing a strong understanding of system dynamics and process automation. They then explore advanced techniques including applied optimal control and estimation, digital control, model predictive control, nonlinear and adaptive control systems, and robust control with convex optimisation. The program also integrates system identification and artificial intelligence, equipping students with the ability to model, analyse, and optimise complex systems using modern computational approaches. Hands-on experience is emphasised through modules such as robotic manipulators, allowing students to apply their learning to practical engineering challenges. A major component of the course is the dissertation, where students undertake independent research, synthesising theoretical concepts with real-world applications. By blending rigorous mathematical theory with applied engineering practice, the program prepares graduates for careers in advanced industrial roles, research and development, consultancy, and further doctoral study. Students acquire the analytical, computational, and practical skills necessary to design, control, and optimise complex engineering systems, making them well-equipped to meet the demands of modern industries in fields such as robotics, aerospace, energy, manufacturing, and automation.