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Imperial College London

Mathematics and Computer Science

UCAS Code: GG41

Master of Engineering (with Honours) - MEng (Hon)

Entry requirements


A level

A*,A*,A

Must include: A* in Mathematics A* in Further Mathematics A in a preferred subject Preferred subjects Ancient Language Biology Chemistry Computing Economics Electronics English Literature History Law Modern Languages Philosophy Physics Politics Psychology *Preferred 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. General Studies, Critical Thinking, ICT and Business Studies are not accepted. If you are made an offer you will be required to achieve a pass in the practical endorsement in all science subjects that form part of the offer.

Cambridge International Pre-U Certificate - Principal

D2,D2,D3

Must include: D2 in Mathematics D2 in Further Mathematics D3 in a preferred subject

International Baccalaureate Diploma Programme

40

Must include: 7 in Mathematics at higher level 7 in another relevant subject at higher level

UCAS Tariff

160

We've calculated how many Ucas points you'll need for this course.

34%
Applicants receiving offers

You may also need to…

Attend an interview

About this course


Course option

4years

Full-time | 2019

Subjects

Computer science

Mathematics

**This course is professionally accredited by IET (Institution of Engineering and Technology) and BCS (the Chartered Institute for IT). As well as your main Imperial degree, you will also receive the award of the Associateship of the City and Guilds of London Institute (ACGI) on completion of this course.**

With the spread of computing procedures and mathematical ideas into many areas, there is high demand for professionals who are expert in both. Our Mathematics and Computer Science degrees are mathematical courses orientated towards computing science.

Taught jointly by the Departments of Computing and Mathematics, they provide a firm foundation in mathematics, particularly in pure mathematics, numerical analysis and statistics. They also cover all the essentials of computer science, with an emphasis on developing software, as well as more theoretical topics. This makes the courses particularly suited to mathematically-able students with interests in both subjects.

During the first two years you take core modules from both departments and complete project work, with the chance to choose some optional modules in the second year. As the degree progresses, you can choose from a wide variety of optional modules offered by the departments to suit your interests. In the third year you will also complete a four-month industrial placement, gaining valuable skills and experience.

Your study reaches Master’s level in the final year, with a wide choice of advanced modules and a substantial individual project on a subject of your choice.

The high level of shared content means transfer between any of our Mathematics and Computer Science courses is usually possible at any time during the first year. If you are an international student, transferring to a different course could have an impact on your Tier 4 visa, but our International Student Support Team are here to help advise and support you.

Tuition fees

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

Channel Islands
£30,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£30,250
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Imperial College London

Department:

Mathematics

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.

86%
high
Computer science
81%
med
Mathematics

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.

Computer science

Teaching and learning

79%
Staff make the subject interesting
87%
Staff are good at explaining things
80%
Ideas and concepts are explored in-depth
92%
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

97%
Library resources
85%
IT resources
97%
Course specific equipment and facilities
85%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

39%
UK students
61%
International students
82%
Male students
18%
Female students
88%
2:1 or above
5%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A*
A*
A*

Mathematics

Teaching and learning

75%
Staff make the subject interesting
85%
Staff are good at explaining things
85%
Ideas and concepts are explored in-depth
65%
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

93%
Library resources
90%
IT resources
97%
Course specific equipment and facilities
82%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

39%
UK students
61%
International students
71%
Male students
29%
Female students
80%
2:1 or above
6%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A*
A*
A

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.

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.

£48,000
high
Average annual salary
92%
med
Employed or in further education
55%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

88%
Information technology and telecommunications professionals
7%
Teaching and educational professionals
4%
Business, finance and related associate professionals
What do graduate employment figures really tell you?

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.

Mathematics

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.

£31,200
high
Average annual salary
95%
med
Employed or in further education
72%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

38%
Business, finance and related associate professionals
27%
Information technology and telecommunications professionals
13%
Business, research and administrative professionals
What do graduate employment figures really tell you?

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

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.

£41k

£41k

£53k

£53k

£57k

£57k

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.

Mathematics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£33k

£33k

£36k

£36k

£52k

£52k

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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