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University of Reading

Mathematics with Computer Science with Placement Year

UCAS Code: GG41

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

A,B,C

including Mathematics at grade A

Access to HE Diploma

D:15,M:30

including at least 15 level 3 credits in Mathematics

Cambridge International Pre-U Certificate - Principal

D3,M2,M3

including Mathematics at Grade D3

Extended Project

B

In recognition of the excellent preparation that the Extended Project Qualification provides to students for University study, we now include achievement in the EPQ as part of a formal offer.  Eligible applicants would receive two offers,  our usual offer plus an alternative offer of a B in the EPQ and one grade lower in their A level subjects

GCSE/National 4/National 5

GCSE Maths C (or 4), English Language or English Literature C (or 4).

International Baccalaureate Diploma Programme

30

including Mathematics at grade 6 at Higher Level

Scottish Higher

A,B,B,B,B

including Mathematics at grade A

UCAS Tariff

120-141

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

About this course


Course option

4.0years

Full-time | 2020

Subjects

Computer science

Computational mathematics

This four-year course incorporates a year in industry between your second and final years.

Develop your knowledge of mathematics alongside key computational skills such as programming, and put skills into practice with a placement year in industry.

The modern world is increasingly reliant on computers and digital information, and this degree will provide you with skills highly prized by a vast range of employers. You will be given a thorough grounding in computer science, backed up by an in-depth knowledge of mathematics. The split between the two subjects is roughly two-thirds mathematics and one-third computer science.

In mathematics, you will study areas such as calculus, linear algebra, differential equations and numerical analysis. A skills module in second year is aimed at improving your transferable skills and enhancing your employability. This fascinating subject will appeal to anyone who enjoys problem-solving and wants to hone their analytical skills.

You will be given plenty of support to help you get the most out of your studies, including small group problem-solving tutorials and materials to help you manage the transition to university-level mathematics.

In computer science, you will explore key subjects such as programming, algorithms and operating systems and get to grips with several programming languages including C++, C# and Java. These are essential skills for computer scientists and highly desired by employers. We also have superb links with industry. Many of the world’s high-tech and IT industries have their UK or European headquarters within a 10-mile radius of the University and often employ our students after graduation.

In your final year you can develop your knowledge by exploring areas of interest in greater depth. The vast majority of modules in this year are optional and include subjects from both areas of the course such as data mining, cryptography, virtual reality or number theory. During this year you will also carry out a project on a mathematical topic and produce a report and presentation on it.

You will be given advice and support for finding a placement, as well for writing a CV and improving your interview skills, by our dedicated placement coordinator.

This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

**Careers**

Your mathematical and computational knowledge, combined with teamwork and presentation skills, will make you highly desirable to a range of employers.

As a mathematics graduate, you can choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics, or areas of the private sector, including commerce and information technology. Furthermore, you can move into a range of related careers such as accountancy, financial analysis, engineering, modelling or actuarial work.

Furthermore, Reading is at the heart of the Thames Valley; the capital of the UK’s high-tech industry. Top multinational businesses, such as Microsoft, Oracle, Hewlett Packard, Intel, Fujitsu, Cisco and IBM, are located within 10 miles of the University. Many of the companies we work with visit the University in order to recruit our best graduates directly. Reading prepares you by organising mock assessment centres, where you will go through the recruitment process and get valuable feedback before you actually apply for jobs.

Alternatively you can choose to further develop your skills by moving into research, teacher training or postgraduate studies.

Modules

Sample modules may include:

* Foundations of mathematics
* Calculus
* Linear algebra
* Real analysis I
* Fundamentals of computer science

Visit our website for more information about the course structure.

Tuition fees

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

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£20,315
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Reading

Department:

School of Mathematical and Physical Sciences

TEF rating:
Read full university profile

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.

65%
low
Computer science
79%
med
Computational 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

60%
Staff make the subject interesting
75%
Staff are good at explaining things
71%
Ideas and concepts are explored in-depth
77%
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

70%
Library resources
31%
IT resources
83%
Course specific equipment and facilities
37%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

86%
UK students
14%
International students
84%
Male students
16%
Female students
78%
2:1 or above
15%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
C

Mathematics

Teaching and learning

72%
Staff make the subject interesting
90%
Staff are good at explaining things
82%
Ideas and concepts are explored in-depth
86%
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

77%
Library resources
68%
IT resources
82%
Course specific equipment and facilities
88%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

88%
UK students
12%
International students
62%
Male students
38%
Female students
72%
2:1 or above
5%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
C

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.

£25,000
med
Average annual salary
80%
low
Employed or in further education
95%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

60%
Information technology and telecommunications professionals
8%
Business, research and administrative professionals
8%
Sales, marketing and related associate professionals

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.

£25,000
med
Average annual salary
96%
med
Employed or in further education
93%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

36%
Business, research and administrative professionals
16%
Business, finance and related associate professionals
10%
Information technology and telecommunications professionals

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.

£28k

£28k

£33k

£33k

£37k

£37k

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.

Computational 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.

£24k

£24k

£28k

£28k

£31k

£31k

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