Capitalising on the growth in interest in artificial intelligence and intelligent robotics, MSc Intelligent Systems and MSc Intelligent Systems and Robotics at DMU will provide you with knowledge of the various models of computational intelligence, skills in the associated computational techniques, an insight into their theoretical basis and the ability to apply these techniques to a wide variety of problems.

Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems poorly solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. You will have an opportunity to apply the knowledge and skills learned on the course in areas such as robot control and games development, depending on your interests.

Modules include work-based on research by our Centre for Computational Intelligence (CCI) within the Institute of Artificial Intelligence (IAI). With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to study Intelligent Systems/Intelligent Systems and Robotics at DMU:

• Artificial Intelligence is a growing industry worldwide, with a number of opportunities for further study and/or employment.

• You will have the opportunity to choose from a range of specialist modules that will develop skills and knowledge relevant to your area of interest.

• The course is designed to be flexible and fit around you – either choose to attend timetabled sessions on campus or distance learning; making the course suitable for recent graduates and professionals in work.

• The CCI has an established, international reputation, with opportunities for PhD study upon successful completion of this course.

• More than 95 per cent of recent Faculty of Technology postgraduates were in full-time employment or further education within six months of completing their course (DLHE 2013/14).

Careers:

• A recent careers search showed that graduates with skills in Computational Intelligence were required in the areas of robotics programming and research, games engineering, software engineering, internet businesses, financial services, mobile communications.

• A recent report in New Scientist Graduate Careers Special discusses the wide applications of Artificial Intelligence from household appliances and medical services to data-mining systems for investment banks and robot rovers on Mars. The same article notes that many employers prefer AI graduates even for non-AI focused jobs because the nature of the subject (inclusion of a variety of technical elements but also bridging the gap with other areas such as psychology, philosophy and the arts) means that AI graduates can communicate effectively and problem solve successfully as well as being able to program computers.

• IBM, HP, Microsoft, Bell Labs, Xerox are all examples of companies that have their own AI research labs, and as such indicate that this subject area is very important currently and that graduates of degrees in this area are very employable.

Successful alumni:

• https://www.dmu.ac.uk/about-dmu/news/2018/november/jaguar-land-rover-role-places-nontawat-at-the-cutting-edge-of-ai.aspx