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Intelligent Systems and Robotics MSc/PG Dip/PG Cert

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.


Reasons to study Intelligent Systems and Robotics at De Montfort University:

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. Past students have published papers with their CCI project supervisors and gone on to PhD study.

  • 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 Centre of Computational Intelligence has an established, international reputation, with opportunities for PhD study upon successful completion of this course



At DMU, we are committed to helping our graduates enhance their careers and personal development through further study. We are currently finalising our scholarship packages for 2017 entry.

International Scholarships

Find out about available scholarships and country specific fee discounts for international students.

More courses like this:

Computing MSc/PG Dip/PG Cert

Intelligent Systems MSc/PG Dip/PG Cert


  • UK/EU
  • International

Key facts for UK/EU students

Duration: One year full-time (with optional one year placement available), 18 months for January starts, two to six years part-time or by distance learning.

Start Date: January and September

Fees and funding: £5,100

At DMU, we are committed to helping our graduates enhance their careers and personal development through further studyWe are currently finalising our scholarship packages for 2017 entry.

Find out more about course fees and available funding.

Additional costs and optional extras associated with this course.

Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

Key facts for international students

Duration: One year full-time (with optional one year placement available), 18 months for January starts, two to six years part-time

Start Date: January and September

Fees and funding: £12,700

Find out more about course fees and available funding.

Additional costs and optional extras associated with this course.

How to apply: International students can apply to study at DMU directly using our online portal or direct application form


Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

Entry criteria

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.



If you feel you would like to talk to us about your qualifications before submitting an application please do not hesitate to call or email using the contact details below.

Whilst the University tries to ensure that all of its programmes run as advertised it is sometimes necessary to make significant changes to the structure of the programmes or to discontinue a programme entirely if for instance there are insufficient student numbers or staff changes. This will sometimes happen between an offer being made and enrolment.

Where changes are made the University will endeavour to inform applicants as early as possible to minimise the potential disruption to the application process. Where possible an alternative programme will be offered in a similar subject area.

In cases where programmes are changed or discontinued the University will send a communication to you electronically and/or by hard copy outlining your options.

Structure and assessment


Course modules

Teaching and assessments

Academic expertise



  • 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.


  • CI 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 (IS only) 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.
  • Intelligent Mobile Robots (ISR only) covers sensing, representing, modelling of the environment, adaptive behaviour and social behaviour of robots.
  • 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



The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

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.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.


Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.



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.

Learning zones

Our comfortable and well-equipped study areas provide a range of environments to suit your needs.

Originally set up in our main Kimberlin Library, the learning zones proved so popular that more were created in the Eric Wood Building and Greenhouse. These flexible spaces are ideal whether you are working as a group, practising a presentation or working quietly on your own.

They feature workstations with power supplies for laptops, plus bookable syndicate rooms with interactive whiteboards and DVD players. Eduroam wi-fi is available across all campus locations.

Library services

We have 1,500 study places and 650 computer workstations across four sites on campus. These give access to more than half a million publications, an extensive range of DVDs, e-resources and thousands of electronic journals. 

The main Kimberlin Library is open 24 hours a day, 365 days of the year (other than in exceptional circumstances).

Award-winning staff are on hand to help and there is a café for study breaks. We offer a range of workshops, drop-in and one-to-one sessions, and our Just Ask service provides email and telephone support.

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.



Graduate Careers

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. 

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How to apply

We welcome applications from UK and international students with a wide range of qualifications and experience.

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Up to 50 per cent off select PG courses 

We are committed to helping our graduates enhance their careers and personal development through further study, which is why we offer the Vice-Chancellor’s 2020 Scholarship. This gives DMU graduates a tuition fee discount of up to 50 per cent on selected full-time and part-time postgraduate courses, based on academic achievement and merit. Find out more.


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De Montfort University (DMU)’s growing reputation for research which benefits society has been confirmed with the publication of the REF 2014 results. Find out more.


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