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Mathematics with Computer Science

Entry requirements


A level

A,B,C

including Mathematics at grade A. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A level. (e.g. BBC with Maths at B or ABD with Maths at either A or B).

Access to HE Diploma

D:18,M:27

including at least 12 level 3 credits in Mathematics. If you place us as your Firm choice we will accept you with 15 level 3 credits at Distinction and 30 level 3 credits at Merit, including at least 12 level 3 credits in Maths.

Cambridge International Pre-U Certificate - Principal

D3,M2,M3

including Mathematics at Grade D3. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a grade M2 in Maths. (e.g. M2, M2, M3 with Maths at M2).

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. If you place us as your Firm choice we will accept you with 28 points overall, including accepting Maths at grade 5 at Higher Level.

Scottish Higher

A,B,B,B,B

including Mathematics at grade A. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths (e.g. BBBBB with Maths at B).

UCAS Tariff

120-141

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

About this course


Course option

3years

Full-time | 2024

Subjects

Computer science

Computational mathematics

**Develop your mathematical knowledge, gain key computational skills, and join the growing technological industry with our BSc Mathematics and Computer Science degree.**

Gain desirable and in-demand skills across two disciplines and develop a thorough grounding in computer science, backed up by your in-depth mathematical knowledge.

With learning roughly split into two-thirds mathematics and one-third computer science, this flexible, industry-relevant degree - located in the heart of the UK's digital technology sector - aims to prepare you for a wide range of careers.

**Topics of study in mathematics**

You'll join the University of Reading's Department of Mathematics and Statistics, where 98% of our research is world leading or internationally excellent and 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Mathematical Sciences). On this course, topics of study in your first two years will include:

- calculus

- linear algebra

- differential equations

- numerical analysis.

Your second year will feature a skills module, designed to improve your transferable skills and enhance your employability.

Support for the transition to university-level mathematics will be provided through small-group tutorials, seminars and events. You will also be encouraged to get involved with the Department's Staff Student Forums and the Student Teaching and Learning Group.

Your degree will meet the requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications (when followed by subsequent training and experience in employment in order to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught master's degrees).

**Developing skills in computer science**

Get to grips with key programming languages such as C++, Java, and Python. Areas of study from the Department of Computer Science include:

- programming

- software design

- computer systems

- networking and operations

- web technology

- computer security.

Modules

The following modules have been approved in principle for delivery in 2024/25. Please note that as part of our current curriculum improvement process, all modules require final University approval and may be subject to change.

Core modules:
- Probability and Statistics
- Calculus
- Foundations of Mathematics
- Linear Algebra
- Imperative Programming
- Object-orientated Programming
- Real Analysis
- Differential Equations
- Artificial Intelligence
- Mathematical Modelling and Professional Skills
- Numerical Analysis I
- Programming in Python
- Portfolio of Projects

The University cannot guarantee that all optional modules will be available to all students who may wish to take them. Further information about the content of final approved modules will be available between May and July 2023. We suggest that you regularly revisit this webpage during this time to ensure you have the most up-to-date information regarding the modules offered on this programme.

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
£27,650
per year
International
£27,650
per year
Northern Ireland
£9,250
per year
Republic of 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, Physical and Computational Sciences

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.

77%
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

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

81%
UK students
19%
International students
84%
Male students
16%
Female students
80%
2:1 or above
12%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

Mathematics

Teaching and learning

66%
Staff make the subject interesting
89%
Staff are good at explaining things
76%
Ideas and concepts are explored in-depth
68%
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

69%
Library resources
71%
IT resources
81%
Course specific equipment and facilities
72%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

85%
UK students
15%
International students
70%
Male students
30%
Female students
67%
2:1 or above
25%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
C
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
83%
med
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
74%
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.

£30k

£30k

£33k

£33k

£42k

£42k

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.

£25k

£25k

£34k

£34k

£35k

£35k

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 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