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.
- This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
- Working with our internationally recognised Centre of Computational Intelligence (CCI), part of the Institute of Artificial Intelligence (IAI), 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 AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, 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.
Structure and assessment
- Computational Intelligence Research Methods details quantitative and qualitative approaches including laboratory evaluation, surveys, case studies and action research.
- Artificial Intelligence (AI) Programming presents a logical programming approach. AI programming is a key skill and a necessary tool for problem solving in industry.
- Mobile Robots discusses the hardware and software architectures used to build mobile robot systems.
- Fuzzy Logic considers the various fuzzy paradigms that have become established as computational tools.
- Artificial Neural Networks appraises neural network computing from an engineering approach and the use of networks for cognitive modelling.
- Computational Intelligence Optimisation (CIO) is a subject that integrates artificial intelligence into algorithms for solving optimisation problems that could not be solved by exact methods. Thus, CIO is the subject that defines and designs metaheuristics, i.e. general purpose algorithms. This makes CIO the subject that tackles optimisation problems in engineering, economics, and applied science
- Applied Computational Intelligence considers knowledge-based systems; the historical, philosophical and future implications of AI; then focuses on current research and applications in the area.
- Data Mining, Techniques and Applications examines the tools and techniques needed to mine the large quantities of data generated in today’s information age. It provides practical experience as well as consideration of research and application areas
- Individual Project provides the opportunity to demonstrate skills acquired from the course in a problem solving capacity. This typically involves the analysis, design and implementation of a computer system.
Facilities and features
We have our own Advanced Mobile Robotics & Intelligent Agents Laboratory situated in Gateway House.
The Advanced Mobile Robotics & Intelligent Agents Laboratory contains a variety of mobile robots ranging from the Lego Mindstorm to the Wheelbarrow robot for bomb disposal.
This facility provides excellent resources for teaching and research.
Mobile Robotics is taught as an option at undergraduate level as well as on the Artificial Intelligence with Robotics BSc programme. On the Intelligent Systems and Robotics MSc programme students will be exposed to the more advanced techniques.
The Centre for Computational Intelligence (CCI) conducts research into use of computational intelligence techniques on mobile robots and encourages PhD applications in this field.
Our Learning Zones and the The Greenhouse also provide space for group or individual work and study.
There are 1,600 study places across all library locations, more than 700 computer stations, laptops to borrow, free wi-fi and desktop power outlets.
You can also book rooms with plasma screens, laptops and DVD facilities for group work and presentations, secure an individual study room with adjustable lighting or make use of our assistive technology.
The main Kimberlin Library is open 24 hours a day, 365 days a year (other than in exceptional circumstances) and offers a huge range of online resources, all of which can be remotely accessed from anywhere you choose.
The library is run by dedicated staff who offer additional support to students, including help with academic writing, research strategies, literature searching and reference management and assistive technology, and mathematical skills for non-maths students. There is also a Just Ask service for help and advice, available via email or telephone.
Opportunities and careers
This is our innovative international experience programme which aims to enrich your studies and expand your cultural horizons – helping you to become a global graduate, equipped to meet the needs of employers across the world.
Through #DMUglobal, we offer a wide range of opportunities including on-campus and UK activities, overseas study, internships, faculty-led field trips and volunteering, as well as Erasmus+ and international exchanges.
Graduates typically follow careers in robotics programming and research, games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, software engineering and many more. A number of past graduates are now studying for PhDs.
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