DMU logo
intelligent-systems

Intelligent Systems 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.

Overview

Reasons to study Intelligent Systems at De Montfort University:

  • Internationally recognised reputation
    our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing  you to understand the current research issues related to artificial intelligence 
  • Benefit from our Research Expertise
    modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus 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 
  • Flexible study options
    full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work 
  • Dedicated robotics laboratory
    have access to our  Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal 
  • Employment Prospects
    artificial Intelligence is a growing industry worldwide, employment opportunities exist  in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

There are two similar courses within the department providing you with the flexibility to tailor your learning style and subjects specifically to your requirements. You may also be interested in Intelligent Systems and Robotics MSc which has a robotics focus.

Computational intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application 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, 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.

 

“The modules give an excellent overall knowledge of AI and robotics, with many in depth hands-on labs and course work to apply this knowledge. Another great thing about the course is the enthusiastic staff, always available and very helpful for any questions and problems even when not directly related to the course.”

Ben Passow, MSc Graduate

 

Scholarships

Tuition fee discount of up to 50 per cent available when studying this course
The Vice-Chancellor's 2020 scholarship is available to DMU graduates studying a range of full-time and part-time postgraduate courses

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 and Robotics 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: 

For 2017/2018 entry - £5,350

EU Students: Find out about student loan information and scholarships for 2017.

Apply for the Vice-Chancellor's Sports Scholarship, worth up to £6,000.

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 or by distance learning.

Start Date: January and September

Fees and funding: 

For 2017/2018 entry - £13,100

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.

 

  • 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.

 

 

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

Facilities

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

dmu-global-img-01

 

#DMUglobal

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-img-01

 

Graduate Careers

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.

Order a prospectus

Our prospectus will give you a clearer idea of what it's like to live and study at DMU and a snapshot of the courses we offer.

Order your copy

How to apply

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

Find out more

More about your DMU

Up to 50 per cent off select PG courses
Postgraduate events
Research at DMU
Leicester guide
vc2020-scholarship-img

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.

graduate-case-studies-img

Postgraduate events

The perfect way to find out more about DMU is to attend one of the postgraduate open evenings or events that take place all year round. If you can't visit the university in person, you can also sign up for one of our online chats. Find out more.

research

Research at DMU

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.

leicester-guide-img

A city like no other

Studying here gives easy access to the vibrant hub of entertainment, shopping and culture that is Leicester. There are clubs, bars and pubs, as well as festivals, live music, theatres and cinemas. Leicester City Football Club play in the Premier League while Leicester Tigers are one of Europe’s biggest rugby clubs. Find out more.

 
Events target area image
Events

At DMU there is always something to do or see, check out our events for yourself.

News target area image
News

DMU is a dynamic university, read about what we have been up to in our latest news section.

Discover the DMU campus
Discover the DMU campus

Take a look around DMU by exploring our virtual campus.