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Intelligent Systems and Robotics MSc


Course Description

About the course

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 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.

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. 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.

Reasons to Study

• 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

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

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.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Visit the Intelligent Systems and Robotics MSc page on the De Montfort University website for more details!

(Student Profile)

Luke Attwood

1725.jpg - Why did you choose MSc Software Engineering at DMU?

I had previously completed the BSc (Hons) Computer Science course at DMU, and had thoroughly enjoyed not just the content, but also the friendly and supportive environment created by my lecturers and the university as a whole. I felt that the MSc Software Engineering course would provide me with the wider ranging skills I required and enhance my CV to potential employers.

- What knowledge and experience did you gain on the course?

I have gained an understanding of the whole system life cycle with regards to analysing requirements and specifying systems, using this to create competent designs and then upon implementing a product, being able to safely test and maintain it. I feel that I am now capable of managing projects from start to finish and that I am able to give a company or organisation a fresh and innovative direction using the techniques and ideologies that I have learnt.

- Do you have any memorable experiences from your time on the course?

Certainly some of the most memorable experiences must come from being introduced to various professors and lecturers that are world- leading experts in their field. Other memorable experiences come from some of the topics and techniques that we were taught, most notably dependable and critical systems, where one error or failure could lead to loss of life. Seeing how to properly and safely specify and test such systems and knowing you could go out into industry and make a difference is a very satisfying feeling.

- What did you enjoy most about the course?

The content being taught is often completely cutting-edge and new and has been worked on by some of the world's leading researchers in that subject. I thoroughly enjoyed the innovative and cutting-edge technologies and techniques that we were taught.

- Do you have any advice to students who are thinking of studying this course?

I would fully recommend DMU to anyone interested in learning about industry leading technologies and being involved in a very friendly and supportive environment. My own experience has been incredibly enjoyable and fulfilling and I know that anyone taking on a Technology course will be rewarded by a fantastic high level of teaching, balancing theory and practical elements across a vast array of very interesting subjects. Anyone successfully completing the course can apply for CEng (Chartered Engineer) professional status and will thus be an asset to industry.


Scholarships

Entry Requirements

You should have the equivalent of a British Honours degree (normally 2:2 minimum) in a relevant subject. Most science and engineering-based subjects are acceptable, as long as you have some experience of computer programming (the language does not matter, it is an understanding of programming principles that we are looking for).If you don't have formal academic qualifications but have extensive industry experience you will be considered individually.

Last Updated

16 January 2017

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