It’s an exciting time to be working in systems and control engineering. Advances in intelligent control – based on computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning and evolutionary computation – are transforming industrial engineering applications in ways never seen before.
Our Master’s in Systems and Control has been developed in partnership with companies like Jaguar Land Rover, General Electric, TRW, Goodridge and Bytronic Technologies, many of whom we still collaborate with today. Fully accredited by both the Institute of Measurement and Control (InstMC) and the Institution of Engineering and Technology (IET), it is one of three specialist pathways, all of which feature significant mathematics and computing content and are therefore designed for graduates in engineering or science. It will suit you if you wish to embark on a career as a technical specialist, systems designer or systems integrator, or if you are a practising engineer looking to stay abreast of important advances and developments.
Systems control theory lies at the heart of a range of manual, automated and intelligent machines and electronic processes – from opening and closing valves and breakers on machinery to robots which can defuse bombs and explore shipwrecks in place of humans – with technical advances and new applications being made all the time.
This course aims to develop advanced knowledge of the traditional and modern systems and control techniques being used to reduce costs and maximise efficiency, performance and safety. It is underpinned by robust system identification and testing, using mathematical modelling of inputs, outputs and various behaviours.
Course content is guided by the UK Standard for Professional Engineering Competence (UK-SPEC), which sets out the competence and commitment required for registration as a Chartered Engineer (CEng).
Within the context of a changing technological environment and the resulting challenges, such as increase reliance on automation in industry, electrification of vehicle and system automation. You’ll learn various ways in which you can control the behaviour of dynamic phenomena and systems in interaction with their environment, developing skills and gaining practical experience in the design, analysis, modelling and testing of control systems.
Why choose this course?
In today’s competitive world, all industrial sectors are under growing pressure to deliver better products, reduce design and production lead times, improve reliability and lower costs. Improving production processes and systems often provides the means for them to do these things and more, increasing the demand for specialists in control system design and implementation.
This professionally accredited course aims to provide a solid understanding of the principles underlying the operation of manual and automated control systems, including classical systems and the modern intelligent systems, such as artificial intelligence. We will explore a range of control applications used in various mechanical systems, including proportional + Integral + Derivative (PID) control and robotics, which now has widespread use domestically, commercially and in the military.
We aim to develop the intellectual, technical and professional skills required to design, analyse and simulate control systems. Teaching is practical in nature with laboratory sessions in specialist software, including Matlab/Simulink, LabVIEW and Maple, and project work based on real-life situations to gain familiarity of methods and techniques. Following simulation studies students will be able to deploy their control systems on specialist control teaching hardware from Bytronic Ltd and Quanser. Project work are based on real-life either from our industrial partners or to support on-going research project in the area of automotive control systems, cooperative and autonomous vehicles, preventive maintenance applied to medical devices to gain familiarity of methods and techniques studied in the course.
International experience opportunities
The Control Group has strong connections with industry, which includes many multinational companies, including: Jaguar Land Rover, GE Power Conversion, TRW Automotive Systems, AVL, Bytronic Automation Ltd, SAIC Motor UK Technical Centre, Abbott Diabetes, University Hospital Coventry and Elekta Oncology Systems Ltd.
Academic and research staff who deliver the teaching in this programme has strong collaboration with industry as well as other researchers in other universities in Europe, as well as other overseas territories like Asia, North and South America. This could give potential opportunities for students to visit, develop network or involve in the existing collaborations. It may also open opportunities to students who intend to continue their education and develop their career abroad.