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De Montfort University

Intelligent Systems

UCAS Code: I562

Master of Computing (with Honours) - MCompu (H)

Entry requirements


Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DMM

UCAS Tariff

104

from at least 2 A-Levels Five GCSEs A*-C (9-4) including English Language and Mathematics or equivalent.

100%
Applicants receiving offers

About this course


Course option

4years

Full-time | 2019

Subject

Knowledge and information systems

Intelligent Systems MComp at De Montfort University is designed for those who want to study an exciting combination of computer science, artificial intelligence and robotics and develop the theoretical knowledge and practical skills to provide intelligent solutions for commerce and industry. This 4 year course consists of a 3 year BSc degree, and finishes after an additional year which completes the MComp. The course gives you a detailed understanding of artificial intelligence concepts and techniques, and the ability to apply this knowledge to a variety of problems and subject areas. It is taught by experienced staff from our Centre for Computational Intelligence, an internationally recognised research centre that conducts industry relevant research into intelligent systems and provides high quality solutions to real-world decision issues. As part of a group you might have the opportunity to create your own robot project with a chance to take it to the Robot Challenge in Vienna. You will learn to develop basic hardware and software models and programs. You will also use artificial intelligence code that allows you to accomplish various tasks, including controlling advanced mobile robots in our purpose-built laboratory. 97.3% of DMU graduates from summer 2017 are in work or further study after graduating according to the Destinations of Leavers from Higher Education (DLHE) 2016-17 report.

Modules

First year
Core modules:
• Computing, Ethics, Law and Portfolio
• Programming C++
• Elements of Computing
• Computational Modelling
Second year
Core modules:
• Object Oriented Design and Development with C++
• Mechanics and Artificial Intelligence for Simulation
• Introduction to Artificial Intelligence and Mobile Robotics
Optional modules:
• Agile Methods and Development
Third year
Core modules:
• Fuzzy logic and Knowledge Based Systems
• Mobile Robotics
• Computing Project
Optional modules:
• Systems Building: Methods and Management
• Data Mining
• Multi-service Networks
• Telematics
• Privacy and Data Protection
• Rigorous Systems
• Systems Integration
• Computer Games Programming
• Secure Web Application Development

Fourth year (MComp) – first term
Core modules:
• Research Methods
Plus two optional modules from:
• Artificial Intelligence Programming
• Fuzzy Logic
• Mobile Robotics
Fourth year (MComp) – second term
Three optional modules from:
• Computational intelligence Optimisation
• Intelligent Mobile Robotics
• Artificial Neural Networks
• Data Mining Techniques and Applications

Assessment methods

The course is taught by experienced researchers in artificial intelligence and computer sciences from our Centre for Computational Intelligence (CCI), an internationally recognised research centre that conducts industry relevant research into intelligent systems, and provides high-quality solutions to real-world issues. Due to the nature of robotics, in particular, and intelligent systems, you will meet with researchers with a diverse background ranging from theoretical computer science, to computational mathematics, and electronics. This will give you a versatile background which will allow you to appreciate the complexity of intelligent systems and find 'your way' in a professional career.
Furthermore, the wide selection of optional modules will allow you to realise, while you are studying, you subject preferences and inclinations and follow them. You will be able to choose the study plan and shape your professional background by emphasising the focus of your studies on programming, or on theoretical artificial intelligence, or applied robotics.
At the end of the third year of study, you can choose to graduate with a BSc (Hons), or continue your study with the integrated master’s MComp in Intelligent Systems, which takes an additional year (subject to successful completion of the BSc at 2:2 or above).
Teaching methods include lectures, tutorials and laboratory work. You will also experience collaborative and group-based learning, supervised project work and independent study.
You will normally attend around 12-16 hours of timetabled taught sessions each week, and can expect to undertake at least 24 further hours of directed independent study and assignments as required.
Assessment has been designed to match specific modules and will include timed tests, portfolios of work, laboratory exercises, written and oral examinations, individual and group work, project work, reports and presentations.

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£9,250
per year
International
£13,750
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Leicester Campus

Department:

Computing, Engineering and Media

TEF rating:

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What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

70%
low
Knowledge and information systems

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Information systems

Teaching and learning

61%
Staff make the subject interesting
70%
Staff are good at explaining things
70%
Ideas and concepts are explored in-depth
73%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

67%
Library resources
73%
IT resources
61%
Course specific equipment and facilities
48%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

84%
UK students
16%
International students
79%
Male students
21%
Female students
80%
2:1 or above
29%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
B
D

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

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.

£25,000
med
Average annual salary
97%
high
Employed or in further education
80%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

18%
Information technology and telecommunications professionals
14%
Business, finance and related associate professionals
14%
Information technology technicians
What do graduate employment figures really tell you?

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.

Knowledge and 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

£23k

£25k

£25k

£25k

£25k

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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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

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This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

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?

Have a question about this info? Learn more here