Computing (Visual Computing and Robotics)
Imperial College London
UCAS Code: GG47 | Master of Engineering (with Honours) - MEng (Hon)
Imperial College London
UCAS Code: GG47 | Master of Engineering (with Honours) - MEng (Hon)
Entry requirements
A level
Our minimum entry standard is A*A*A to A*AAA overall, to include: A* in Mathematics A*A in two further subjects or AAA in three further subjects ICT, Business Studies, General Studies and Critical Thinking are not accepted. Recommended subjects Computer Science Further Mathematics Physics Useful subjects Ancient language Biology Chemistry Economics Electronics English Literature History languages Law Philosophy Politics Psychology Recommended and useful subjects are those that the Department deems to be very useful knowledge foundations to undertake a computing degree at Imperial. The department may still consider applicants with other subject combinations. Students taking English exam board science A-levels will be required to pass the practical endorsement. Typical offers also require STEP papers.
Cambridge International Pre-U Certificate - Principal
D2,D2,D3-D2,D3,D3,D3
Must include: D2 in Mathematics D2, D3 - D3, D3, D3 in useful subjects Recommended subjects Computer Science Further Mathematics Physics Useful subjects Ancient language Biology Chemistry Economics Electronics English Literature History languages Law Philosophy Politics Psychology Typical offers also require STEP papers.
International Baccalaureate Diploma Programme
Our minimum entry standard is 41 points overall, to include: 7 in Mathematics* at higher level 7 in another relevant subject at higher level *Mathematics Analysis and Approaches or the Applications and Interpretation syllabi will be accepted at higher level, but students taking Applications and Interpretation will also be required to take STEP. Typical offers also require STEP papers.
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About this course
Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work.
This course has a strong technical emphasis, and allows you to focus on various technologies and algorithms for arts-related applications. such as computer games, visual effects and computer-generated art.
In this course, you will learn how modern computer and communications systems function, and how they can be used and adapted to build the next generation of reliable and secure computing applications.
The core of this programme has been designed to give you an overview of computing, an understanding of the basic concepts and principles, the ability to appreciate and adapt to changes in technology, and practical experience in applied computing.
A special emphasis of your studies will be on the fundamental principles underlying computing and on the engineering considerations involved in computing system design, implementation and usage. You will be introduced to computing architecture and hardware, and the software used to exploit them.
It will also equip you with a strong background in discrete mathematics (logic, sets, relations and grammar), classical mathematics and statistics relevant to applications engineering and management.
You'll attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced techniques and modules – many of which draw on current research taking place in the Department.
At the end of your third year, you will gain valuable skills and experience by completing an industrial placement. Your study reaches Master's level in the final year, with a wide choice of optional modules and a substantial individual project on a subject of your choice.
Modules
We recommend reviewing our course page for the latest information regarding the curriculum (including core and optional modules) and course structure, as this information may be subject to periodic change.
Tuition fees
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Extra funding
We’re offering up to £5,000 each year through our Imperial Bursary scheme for eligible Home undergraduates.
If your household income remains under £70,000 a year, you’ll automatically qualify for every year of your course.
Find out more about the Imperial Bursary Scheme on our website.
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
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Computer science
Teaching and learning
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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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Computer science
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
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£60k
£71k
£86k
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 the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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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.
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Graduate field commentary:
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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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