Intelligent Systems MSc/PG Dip/PG Cert at De Montfort University

Our Intelligent Systems MSc provides you with knowledge of the various models of computational intelligence, an insight into their theoretical basis, and the skills to apply the associated techniques to a wide variety of industry problems.

Course modules include Computational Intelligence Research Methods, Fuzzy Logic, Natural Language Processing and Mobile Robots, and you will have opportunities to use the knowledge you acquire in a range of application areas to suit your interests, from robot control to games development.

Our curriculum includes modules based on research by the Centre of Computational Intelligence (CCI), which has an established international reputation, providing students with theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their CCI project supervisors and some have gone on to study a PhD.

Throughout your studies you will have the flexibility to tailor your learning style and subjects specifically to your requirements.

You may also be interested in our Intelligent Systems and Robotics MSc which has a robotics focus. 

Key features

• Working with our internationally recognised Centre of Computational Intelligence (CCI) will give you a solid understanding of the current research issues related to artificial intelligence
• Benefit from our research expertise with a focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, and mobile robotics and biomedical informatics
• Our flexible study options, including full-time or part time either on campus or via distance learning, ensure the course is suitable for recent graduates and professionals in work
• Take advantage of our dedicated robotics laboratories featuring cutting-edge technologies such as the Lynxmotion Hexapod robot, Turtlebots,  HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
• An optional year-long placement will give you the opportunity to make important industry contacts and gain valuable work experience
• Capitalise on employment opportunities within a growing industry worldwide in areas such as robotics programming and research, games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.