You should have a first degree (or equivalent) in any engineering or physical science subject with a good mathematical content. Candidates with relevant industrial experience may be allowed entry to the course provided their experience can be taken in lieu of formal qualifications.
Months of entry
This is a challenging course which covers all the major aspects of automatic control systems engineering.
This course covers all the major aspects of automatic control systems engineering, with modules ranging from classical control system design to optimal, adaptive and intelligent control systems, including an introduction to artificial neural networks and evolutionary computing.
All students study two fundamental modules which serve to underpin the remainder of the course. These are Linear Control Engineering and Mathematics and Computing for Control.
The remaining modules on the course are:
- Digital Computer Control Systems;
- Fault Detection in Control Systems;
- Genetic Algorithms;
- Neural Networks and Fuzzy Logic;
- Non-Linear Control Engineering;
- Optimal Filtering and Parameter Estimation;
- Self-Tuning and Adaptive Control;
- System Identification.
The masters project can be tailored to suit the interests of each individual, and have included in the past: Adaptive model based control of a hot steel rolling mill; Comparison of rule-based and model based control systems; Identification of diesel engine characteristics from operating records and Development of a fuzzy logic gas engine speed controller.
Information for international students
Please contact our International/EU Office:
Telephone: +44(0)24 7615 2152
Qualification and course duration
Course contact details
- UK - Recruitment and Admissions Office
- +44(0)24 7765 4321
- +44 (0)24 7688 8609