Control systems underlie advanced, responsive mechanical structures found in many kinds of industries, from aviation to energy systems and manufacturing.
Overview
Important dates
Learn to design systems that make reliable decisions and behave predictably under variable conditions. This specialisation focuses on low level decision-making for shorter time scales.
You will explore nonlinear control, robust control, optimisation-based control, as well as newer methods like data-driven decision-making in dynamic systems. Additional courses look at deep machine learning, sensor fusion and nonlinear filtering. This provides a strong foundation for careers in systems engineering, control engineering, autonomous systems, and advanced technology development across many engineering sectors.
Programmes
Systems, Learning and Control, MSc
Requirements
The requirements for the Master's programme Systems, Learning and Control apply to this specialisation.
How to select a specialisation
You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.