Intelligent Systems and Robotics MSc
Capitalising on the recent growth in interest in artificial intelligence and intelligent robotics, this course aims to 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 that traditional approaches to computing struggle to solve. 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. There are opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
Modules include work based on research by the Centre of Computational Intelligence (CCI). With an established international reputation, its 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.
You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.
We are happy to consider equivalent qualifications from anywhere in the world.
If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. English Language tuition, delivered by our British Council accredited Centre for English Language Learning, is available both before and throughout the course if you need it.
If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis.
For more information about admission requirements, please visit the university website.
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Graduates typically follow careers within robotics programming and research, games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, software engineering and many more. Opportunities also exist for further academic study toward a PhD and a career in research.
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
This course is also available in part-time or distance learning study options.
Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.
Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.
Flexible study options
- full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work
2021/22 tuition fees
- UK/EU full-time students: £8,170 per year
- UK/EU part-time students: £680 per 15-credits
- International students: £15,100 per year
Past students have published papers with their CCI project supervisors and gone on to PhD study.
- Computational Intelligence Research Methods details quantitative and qualitative approaches including laboratory evaluation, surveys, case studies and action research.
- Fuzzy Logic considers the various fuzzy paradigms that have become established as computational tools.
- Natural Language Processing focuses on Natural Language Processing (NLP) using Python. It uses NLTK and Pytorch. NLTK is a leading platform for NLP which provides a number of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries. Pytorch provides access to deep learning function which can be applied to NLP problems.
- Mobile Robots discusses the hardware and software architectures used to build mobile robot systems.
- 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
- Artificial Neural Networks and Deep Learning appraises neural network computing from an engineering approach and the use of networks for cognitive modelling.
- 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
- Intelligent Mobile Robots covers sensing, representing, modelling of the environment, adaptive behaviour and social behaviour of robots. OR
- 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.
About this institute
De Montfort University
De Montfort University (DMU) in England welcome hundreds of European students every year for one of our 300 courses at foundation, undergraduate and postgraduate level. We have approx. 25,000 students studying in our 4 faculties; Business & Law; Health &...
Why study at De Montfort University
- Ranked 20th for Graduate Prospects (The Times & Sunday Times Good University Guide 2020)
- In the top 10% of institutions overall recognised by the Times Higher Education’s Impact Rankings 2020
- TEF Gold Award in the 2017 Teaching Excellence Framework – the only government-endorsed measure of teaching quality in higher education.
- Campus of the Future - DMU has invested £136m in transforming its campus, creating new green space in Leicester and using renewable energy technology. Four of the largest campus buildings generate renewable energy via more than 1,110 solar panels, and a wood biomass boiler cuts out the need to burn fossil fuels.
- 2030 Climate Action - More than 100 students and staff have taken part in carbon literacy training to understand how choices like transport, clothes, overseas travel and food impact the planet. DMU and the University of Leicester have teamed up with Leicester City Council to deliver the training in city schools. DMU has halved its carbon dioxide emissions since 2005.
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