This course is designed for anyone who wants to study an exciting combination of computer science, artificial intelligence and robotics and leave university with the theoretical knowledge and practical skills to develop intelligent solutions for commerce and industry. The course provides a detailed understanding of artificial intelligence concepts and techniques and the ability to apply this knowledge to a variety of problems and subject areas. You will learn to develop basic hardware and software models and programs and deploy artificial intelligence code that allows you to accomplish various types of tasks, including controlling advanced mobile robots in our purpose-built laboratory. The course is taught by experienced staff from our Centre for Computational Intelligence (CCI),| an internationally recognised research centre that conducts industrially relevant research into intelligent systems, providing high quality solutions to real-world decision-making and prediction problems. The course is accredited by BCS|, the Chartered Institute for IT, and provides the first step to achieving Chartered IT Professional (CITP)| status.
UCAS course code: G7H6
Duration: Three years full-time, four years with placement
Institution code: D26
If you are unsure about the amount of UCAS points your qualifications may attract you can use our UCAS Tariff Chart|.
We welcome applications from mature students with non-standard qualifications and recognise all other equivalent and international qualifications.
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| is available at DMU both before and during the course if required.
Teaching methods include staff directed learning via lectures, tutorials and laboratories, collaborative and group based learning, student-centred resource-based learning, supervised project work and self-directed study. Assessment is designed to match the specific module. Methods of assessment will include time constrainedphase tests, portfolios of work, laboratory exercises, formal exams, oral examinations, individual and group work, project work, reports and presentations. You will normally attend around 12–16 hours of timetabled taught sessions each week, and are expected to undertake at least 14–16 further hours of directed independent study and assignments as required.
This course is accredited by the BCS|, The Chartered Institute for IT (formerly known as British Computer Society), which has a 70,000 strong membership of practitioners, academics and students in the UK and internationally.
Once students have graduated and begin working as an IT professional they can apply to become full members of BCS and as their career develops, gain the status of Chartered IT Professional (CITP)|.
You can improve your CV, become highly employable and put the skills you learn on your course into practice by taking a work placement as part of your studies.
Technology's dedicated Placement Unit| provides support to all of our students looking to integrate a placement within their university career on both undergraduate degrees and postgraduate masters programmes. The placement unit will help you search for placement opportunities, create and refine your CV and interview approach, and offer any advice you need to find a great placement. Our placement students have worked for a range of organisations from small business through to multinational companies across the world including Microsoft Ltd, IBM, GSK (GlaxoSmithKline) and PepsiCo International.
Placements can enhance your career prospects and give you the chance to use theory from the classroom in a real-world scenario before you have graduated.
Students from this course have taken part in work experience placements at a number of local and national companies over the past three years, including IBM (UK) Ltd, PayPoint Ltd, Netready Ltd, Proactive Tours Ltd and Exel Computer Systems Plc.
Employment opportunities in artificial intelligence exist in both the public and private sectors in areas such as market intelligence, imaging techniques, data mining and within the medical and pharmaceutical industries. Graduates wishing to specialise in robotics are well placed to pursue opportunities in mobile communications and gaming systems. Graduates are also suitably equipped to pursue a range of more traditional IT positions within the wider commercial and public sectors.
For more information please take a look at our Fees and Funding| section.
Scholarships available to home undergraduate students studying on a full time basis for 2013 have yet to be finalised.
The University has its 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.
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Home/EU
Applications for undergraduate courses from UK/EU applicants must go through UCAS, you can fill out an application form through their website|. If you do not have regular access to the internet or find it difficult to fill out applications online you can request an alternative format from UCAS either through their website| or via the contact details below.
Customer Service Unit UCAS PO Box 28 Cheltenham GL52 3LZ T: 0871 468 0 468
International
International students can apply directly| to the university.
Technology Admissions Queens Building 1.25 De Montfort University Leicester LE1 9BH, UK
T: +44 (0) 116 257 7456 E: technology@dmu.ac.uk| F: +44 (0) 116 257 7693
Some people may be having issues sending emails to or receiving email from technology@dmu.ac.uk, please call us on the details above and we will advise on alternate contact details.
Key information sets|
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