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De Mortfort University
The artificial intelligence industry is fast-growing and touches so many aspects of society, from business operations to our everyday lives. On this course you will gain a detailed understanding of artificial intelligence concepts and techniques and learn to use this knowledge to address contemporary problems and challenges such as the use of microprocessor-based systems to control home appliances and the detection and resolution of collisions in applied mechanics.
You will develop fundamental skills, such as learning the powerful general-purpose programming language C++, and experience in-depth study of computer networks and systems. Using artificial intelligence code, you will learn how to control advanced mobile robots in our purpose-built laboratory.
Our modules are designed to focus on real-life industry scenarios to enhance your employability. You will also be able to enjoy projects and extracurriculars related to your course. Get involved with our dedicated Robot Club, where you will solidify your skills by instructing secondary school children on robotic construction or take the opportunity to develop your own robot project, with the potential to compete in the annual international Robot Challenge in Vienna.
A typical offer is 112 UCAS points. You need to study at least two subjects at A Level or equivalent (e.g. BTEC)
Plus, five GCSEs at grade 4 or above including English Language and Maths
Alternative qualifications include:
Pass Access with 30 Level 3 credits at Merit (or equivalent)
English (Language or Literature) and Maths GCSE required as separate qualifications at grade 4
We will normally require students to have had a break from full time education before undertaking the Access course
International Baccalaureate: 26+ Points
This course will equip you to work in artificial intelligence in both the public and private sectors, in areas such as market intelligence, imaging techniques, data mining and in the medical and pharmaceutical industries. Graduates wishing to specialise in robotics are well placed to pursue careers in mobile communications and gaming systems.
Our graduates go on to work for major companies such as IBM and Bullhorn Inc.
You will also be well positioned to continue your academic career by embarking on specialised postgraduate study, in either research or taught areas.
On this course, you will benefit from Education 2030 – DMU’s new way of delivering courses. Through block teaching, you will focus on one subject at a time instead of several at once.
Key skills, including undertaking research, report writing, presentation skills and essay writing, will be, at least, taught in Year 1 (Level 4), and developed and practised at Year 2 & Year 3 (Level 5 & Level 6).
You may be taught through a combination of lectures, tutorials, seminars, group work, laboratory sessions, practical sessions and self-directed study. Assessment and how assessments are weighted is varied across modules. Our assessment practices reflect the best practices in teaching methods deployed by academic members of staff each year. Indicative assessment weighting and assessment type per module are shown as part of the module information. Again, these are based on the current academic session and are subject to change.