Artificial Intelligence
De Montfort University
UCAS Code: I270 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
Pass in the QAA accredited Access to HE. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access cours
International Baccalaureate Diploma Programme
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC National Diploma/ Extended Diploma
T Level
UCAS Tariff
Five GCSEs at grade C or above, including English and Mathematics or equivalent
About this course
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.
**Key features**
- Benefit from teaching by experienced staff from our internationally recognised Institute of Artificial Intelligence that conducts world-leading research into artificial intelligence, computational intelligence and intelligent systems.
- Enhance your practical and professional skills with work placement opportunities. Students have undertaken placements at companies such as IBM, Microsoft and PayPoint.
- Access specialist facilities, including our Advanced Mobile Robotics and Intelligent Agents Laboratory, which contain a variety of mobile robots.
- Through block teaching, you will focus on one subject at a time instead of several at once. This means that you will be able to focus closely on each subject and absorb your learning material in more depth, whilst working more closely with your tutors and course mates.
- Put your skills into practice by taking part in the DMU Robot Club, with a chance to compete in an international robotics competition. Our students and staff have previously won prizes at the Robot Challenge in Vienna.
- Expand your horizons and enrich your studies with a DMU Global experience. Students on related courses have tested their hacking skills at New York’s Spyscape Museum and networked with tech entrepreneurs in Silicon Valley.
Modules
**Year one**
Block 1: Database Design and Implementation
Block 2: Fundamental Concepts of Computer Science
Block 3: Computer Programming
Block 4: Operating Systems and Network
**Year two**
Block 1: Computational Intelligence and Computer Systems
Block 2: Intelligent Robotics
Block 3: Applied Artificial Intelligence
Block 4: Agile Team Development
**Year three**
Block 1: Agent Based Modelling and Parallel Computing
Block 2: Big Data and Machine Learning
Block 3 & 4: Development Project
Block 3 & 4: Fuzzy Logic and Inference System
Assessment methods
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.
Tuition fees
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The Uni
Leicester Campus
Computing, Engineering and Media
What students say
How do students rate their degree experience?
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Information systems
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Information systems
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information systems
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£28k
£34k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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