Computer Science and Mathematics
Entry requirements
A level
Including Mathematics Excluded subjects - General Studies Please note: You will also be expected to achieve a Pass grade in the practical endorsement for any of the following A levels - Biology, Chemistry, Physics - if taken with one of the Awarding Bodies in England.
Access to HE Diploma
We consider applications from students with the Access to Higher Education Diploma in Computing. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 30 credits must be at Distinction and 15 credits at Merit or higher. Applicants will be expected to achieve, or have already achieved, A-Level Mathematics at grade A in addition to the Access qualification. Applications are considered on a case by case basis. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements.
GCSE/National 4/National 5
A minimum of five GCSE passes to include English at grade C or 4 and Maths at grade B or 5 or an acceptable equivalent will be required.
International Baccalaureate Diploma Programme
6,6,6 in HL subjects, including HL Mathematics
Queen Mary University of London welcomes applications from students currently studying Level 3 BTEC qualifications and will consider you for entry to the majority of our undergraduate courses. The typical entry requirements will vary according to the course you are applying for. Some of our courses require specific subject knowledge which you may not be able to cover as part of a Level 3 BTEC qualification and we may therefore require additional Level 3 qualifications to ensure that you are suitably prepared for relevant courses. A small number of our courses do not accept BTEC qualifications for entry, either as a standalone qualification, or in combination with other qualifications at Level 3. Information on our typical entry requirements and guidance for applying can be found at http://www.qmul.ac.uk/undergraduate/entry/btec/ If you are at all unsure about the acceptability of your BTEC qualification for entry, please contact the Admissions team for individual advice ([email protected]).
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Strengthen your employment prospects by backing up technical computing skills with advanced mathematical knowledge.
Why study this course?
Gain a solid understanding of the theory and application of mathematics and computer science in the modern world.
Flexible programme of study - tailor your degree with optional modules in your second and third year.
Undertake an extensive individual project based on your interests.
What you'll study
This programme is taught jointly with the School of Mathematical Sciences. You’ll cover key mathematics topics, including calculus, probability and linear algebra, and have the opportunity to build practical skills in software engineering and interface design.
Students will be taught to use a number of modern programming languages and a modern symbolic computation system.
After building foundational knowledge through compulsory modules, you'll be able to choose from a wide range of optional modules, in areas such as big data processing, UX design and security engineering.
You can also apply for this course
· With Industrial Experience
· With Year Abroad
Modules
YEAR 1
Semester 1
ECS401U - Procedural Programming (15 credits)
ECS427U - Professional and Research Practice (15 credits)
MTH4300 - Introduction to Analysis and Calculus (30 credits)
MTH4113 - Numbers, Sets and Functions (15 credits)
Semester 2
ECS414U - Object Oriented Programming (15 credits)
ECS421U - Automata and Formal Languages (15 credits)
MTH4300 - Introduction to Analysis and Calculus continued (30 credits)
MTH4115 - Vectors and Matrices (15 credits)
Please note that all modules are subject to change.
Assessment methods
Assessment typically includes a combination of coursework (presentations, assignments, essay report writing, in-class tests, research and project work) and/or examinations in May or June.
Individual and group projects are assessed through a written report, practical demonstration and oral examination.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Queen Mary University of London
Electronic Engineering and Computer Science
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.
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
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
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.
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.
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.
Top job areas of graduates
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.
£32k
£41k
£41k
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.
£26k
£33k
£38k
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 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:
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Teaching Excellence Framework (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).
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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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
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:
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
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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?
Have a question about this info? Learn more here