BSc Mathematics with Computer Science, University of Reading

Develop your mathematical skills and gain computing expertise with our BSc Mathematics with Computer Science degree.

Choose BSc Mathematics with Computer Science at the University of Reading

Enjoy an enviable staff to student ratio, with a personalised focus on your education. 97% of our students said teaching staff are good at explaining things (National Student Survey 2024, 96.97% of responders from the Department of Mathematics and Statistics).
In computer science, 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Computer Science and Informatics).
In maths, 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).
The University of Reading is ranked 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25), and won the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
The University of Reading has been named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

Your study will take place on our parkland campus at Whiteknights, which has been voted among the best and most popular green spaces in the UK for 14 consecutive years in the Green Flag Awards.

What you’ll study

Our BSc Mathematics with Computer Science degree will prepare you for a wide range of careers. With learning roughly split into two-thirds maths and one-third computer science, you’ll gain valuable skills across two disciplines that are highly-regarded by employers.

You’ll develop essential mathematical knowledge and skills through modules that cover:

calculus
logic and problem-solving
probability and statistics
linear algebra
differential equations.

In computer science, you’ll study the latest techniques in computing and gain programming skills that are vital in the technology industry. Your modules will include:

imperative and object-oriented programming
artificial intelligence
programming in Python
computer graphics and game design
virtual reality.

In your third year, we offer a range of optional modules in both maths and computer science, enabling you to tailor your degree to your interests and career aspirations.

Chartered Mathematician designation

This course is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician designation, when followed by subsequent training and experience in employment to obtain competencies equivalent to those specified by the QAA for taught masters degrees.

A supportive learning community

On our BSc Mathematics with Computer Science course you'll study alongside students and staff in two supportive, friendly departments.

In the Department of Mathematics and Statistics, we are passionate about creating an inclusive learning environment.

You’ll benefit from an enviable staff to student ratio, with a personalised focus on your education. In our small, close-knit community you won’t get lost in the crowd. 97% of our students said it was easy to contact teaching staff when they needed to (National Student Survey 2024, 96.97% of responders from the Department of Mathematics and Statistics).

You'll be taught by academics with a wealth of experience in industry, who are actively contributing to research in a wide range of areas. Our real-world expertise will enhance your learning, keeping you abreast of the latest developments in mathematics.

In addition to regular contact time with your lecturers, you'll receive plenty of support, including:

small group problem-solving tutorials
materials to help you manage the transition to university-level maths.

We'll also encourage you to join our Student-Staff Partnership Group, enabling you to have a direct input into the student experience.

Maths research at the University of Reading

The Department of Mathematics and Statistics is a research-intensive department, with expertise in both pure and applied mathematics.

Our research has contributed to knowledge in areas such as weather prediction, climate forecasting, and the design and analysis of clinical trials.

The diversity of our work means we can support you in a range of topics, and provide teaching from academics at the forefront of current research.

To find out more, view the staff stories on our Department website.

Computer science facilities

We provide a range of specialist facilities for our students, including:

dedicated computer labs
immersive virtual reality system
the Reading Academic Computing Cluster (RACC), a Linux cluster consisting of 500 CPU cores
free access to a range of software packages.

These facilities enable you to develop core computing skills and pursue your own areas of interest.

Professional placements with BSc Mathematics with Computer Science

We offer a variety of summer placements – in areas such as finance, IT, statistics and modelling – to provide you with valuable experience and insight into industry.

Our dedicated placements officer can offer advice and support to find your ideal placement, as well as developing your CV and interview skills.

Alternatively, you can choose our four-year BSc Mathematics with Computer Science with Placement Year degree, which includes an integrated work placement between your second and final year.

Study Abroad

As part of your degree, you could choose to spend two weeks, a semester, or an academic year abroad.

We'll help you to decide where to go and for how long, guide you through the application process, and support you while you're abroad.

To find out more about the benefits of studying abroad, and discover where you could go, visit the Study Abroad website.

Overview

Develop your mathematical skills and gain computing expertise with our BSc Mathematics with Computer Science degree.

Choose BSc Mathematics with Computer Science at the University of Reading

Enjoy an enviable staff to student ratio, with a personalised focus on your education. 97% of our students said teaching staff are good at explaining things (National Student Survey 2024, 96.97% of responders from the Department of Mathematics and Statistics).
In computer science, 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Computer Science and Informatics).
In maths, 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).
The University of Reading is ranked 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25), and won the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
The University of Reading has been named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

Your study will take place on our parkland campus at Whiteknights, which has been voted among the best and most popular green spaces in the UK for 14 consecutive years in the Green Flag Awards.

What you’ll study

You’ll develop essential mathematical knowledge and skills through modules that cover:

calculus
logic and problem-solving
probability and statistics
linear algebra
differential equations.

In computer science, you’ll study the latest techniques in computing and gain programming skills that are vital in the technology industry. Your modules will include:

imperative and object-oriented programming
artificial intelligence
programming in Python
computer graphics and game design
virtual reality.

In your third year, we offer a range of optional modules in both maths and computer science, enabling you to tailor your degree to your interests and career aspirations.

Chartered Mathematician designation

Learning

A supportive learning community

On our BSc Mathematics with Computer Science course you'll study alongside students and staff in two supportive, friendly departments.

In the Department of Mathematics and Statistics, we are passionate about creating an inclusive learning environment.

In addition to regular contact time with your lecturers, you'll receive plenty of support, including:

small group problem-solving tutorials
materials to help you manage the transition to university-level maths.

We'll also encourage you to join our Student-Staff Partnership Group, enabling you to have a direct input into the student experience.

Maths research at the University of Reading

The Department of Mathematics and Statistics is a research-intensive department, with expertise in both pure and applied mathematics.

Our research has contributed to knowledge in areas such as weather prediction, climate forecasting, and the design and analysis of clinical trials.

The diversity of our work means we can support you in a range of topics, and provide teaching from academics at the forefront of current research.

To find out more, view the staff stories on our Department website.

Computer science facilities

We provide a range of specialist facilities for our students, including:

dedicated computer labs
immersive virtual reality system
the Reading Academic Computing Cluster (RACC), a Linux cluster consisting of 500 CPU cores
free access to a range of software packages.

These facilities enable you to develop core computing skills and pursue your own areas of interest.

Professional placements with BSc Mathematics with Computer Science

We offer a variety of summer placements – in areas such as finance, IT, statistics and modelling – to provide you with valuable experience and insight into industry.

Our dedicated placements officer can offer advice and support to find your ideal placement, as well as developing your CV and interview skills.

Alternatively, you can choose our four-year BSc Mathematics with Computer Science with Placement Year degree, which includes an integrated work placement between your second and final year.

Study Abroad

As part of your degree, you could choose to spend two weeks, a semester, or an academic year abroad.

We'll help you to decide where to go and for how long, guide you through the application process, and support you while you're abroad.

To find out more about the benefits of studying abroad, and discover where you could go, visit the Study Abroad website.

Entry requirements A Level ABC

Select Reading as your firm choice on UCAS and we'll guarantee you a place even if you don't quite meet your offer. For details, see our firm choice scheme.

Our typical offers are expressed in terms of A level, BTEC and International Baccalaureate requirements. However, we also accept many other qualifications.

Typical offer

ABC with an A in Maths, and 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).

If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics. If you place us as Firm choice we will accept BCC with a B in Mathematics alongside a B in the EPQ.

International Baccalaureate

30 points overall including 6 in Maths at higher level. If you place us as your Firm choice we will accept you with 28 points overall including 5 in Maths at higher level.

Extended Project Qualification

In recognition of the excellent preparation that the Extended Project Qualification (EPQ) provides to students for University study, we can now include achievement in the EPQ as part of a formal offer.

BTEC

Not accepted unless studied alongside A level Maths. The BTEC Extended Diploma cannot be accepted on its own to cover the Maths subject requirement.

English language requirements

IELTS 6.5, with no component below 5.5

For information on other English language qualifications, please visit our international student pages.

Alternative entry requirements for International and EU students

For country specific entry requirements look at entry requirements by country.

International Foundation Programme

If you are an international or EU student and do not meet the requirements for direct entry to your chosen degree you can join the University of Reading’s International Foundation Programme. Successful completion of this 1 year programme guarantees you a place on your chosen undergraduate degree. English language requirements start as low as IELTS 4.5 depending on progression degree and start date.

Learn more about our International Foundation programme

Pre-sessional English language programme

If you need to improve your English language score you can take a pre-sessional English course prior to entry onto your degree.

Find out the English language requirements for our courses and our pre-sessional English programme

Compulsory modules

Probability and Statistics

Understand probability and probability distributions, results and techniques for statistical reference and data science, and regression and hypothesis testing.

Calculus

Extend your existing knowledge of calculus into two or more dimensions, exploring techniques of ordinary differential equations of the first and second order and learning how programming has mathematical applications.

Foundations of Mathematics

Gain a solid introduction to fundamental topics in mathematics and develop the necessary skills to study mathematics at university-level. You’ll focus on the concept of sets, functions and various familiar number systems, as well as the importance of proofs and how to construct them.

Linear Algebra

Learn how to solve systems of linear equations, determine eigenvalues and eigenvectors, and develop the algebra of matrices which are used as a stepping-stone to the more general theory of liner and inner-product spaces.

Imperative Programming

Learn how to write small programs using Java, as well as basic algorithms and fundamental software development practices such as version control, specification and testing.

Object-Oriented Programming

Collaborate as a team to develop a program and use it to share and merge source code. As well as developing key programming skills, you’ll increase your abilities in complex problem solving.

These are the modules that we currently offer for 2024/25 entry. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Compulsory modules

Differential Equations

Build on your knowledge of ordinary differential equations and explore partial differential equations and their applications. You’ll explore non-constant coefficients, integral and series solutions, Fourier series, the theory of boundary value problems, diffusion equations, wave equations and Laplace’s equation.

Artificial Intelligence

Apply fundamental methods in artificial intelligence to various real-world problems. You’ll expand your critical thinking skills to solve large problems, together with your writing skills for algorithm development and software implementation.

Mathematical Modelling and Professional Skills

Develop your problem-solving and independent research skills by applying mathematical modelling techniques to solve real-world problems across a broad range of scientific, engineering and economical areas. You’ll also expand your team-working, presentation, career management, technical, verbal and written communication skills.

Numerical Analysis I

Describe, analyse and implement numerical methods for problems in continuous mathematics, including solution of linear equations and nonlinear scalar equations, interpolation, scalar optimisation and solution of ordinary differential equations.

Programming in Python

Using Python programming languages, develop your skills and knowledge to use current tools in general program designs, development and data science. You’ll also develop transferable professional skills for a variety of fields that use programming.

Real Analysis I

Explore mathematical analysis concepts including inequalities, sequences, series and functions.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Compulsory modules

Portfolio of Projects

Conduct a series of projects on mathematical or statistical topics and develop your technical and professional skills.

Optional modules

Virtual Reality, Games and Graphics

Study virtual reality in terms of scientific issues, application areas and strengths and weaknesses of the technology. You’ll use software to design virtual worlds and/or games and learn techniques for their creation using computer graphics.

Data Integration and Information Visualisation

Transform raw data into visual insights to develop your understanding of data integration. You’ll work with peers to critically reflect on design process and outcomes, using commercial software tools and writing professionally for software design documents.

Image Analysis and Visual Intelligence

Gain theoretical and practical knowledge of image analysis and computer vision by using real-world applications. You’ll develop professional skills such as problem solving, team-working, critical analysis, creativity and technical report writing for various audiences.

Blockchain and Security

Deploy blockchain for various applications, gaining a theoretical and practical understanding that develops your critical thinking, writing and design skills. You’ll reflect on rationale, benefits and potential societal and environmental impacts, specifically carbon emissions.

Text Mining and Natural Language Processing

Study the field of text mining and natural language processing, focusing on the theories and practice of processing text data from the aspects of lexicons, syntactics and semantics.

Methods of Machine Learning

Gain familiarity with the range of methods used in statistical machine learning and demonstrate how these are used in research and industry. You’ll have the opportunity to implement machine learning methods using statistical software and interpret and communicate your findings.

Number Theory and Cryptography

Explore a range of topics within number theory and cryptography, including the RSA cryptosystem and error correcting codes.

Applied Stochastic Processes

Learn how to solve problems using stochastic processes and concepts from a variety of applications, including molecular motion, population dynamics, weather and finances.

Summer Placement

Gain experience applying for, and completing, a summer work placement or internship with an employer.

Linear Models and Data Analysis

Gain understanding of the most common models, including multiple linear regression and completely randomised designs, and explore the key principles of planned experiments. Learn how models are applied to practical problems and gain experience of real-life data analysis.

Advanced Statistical Modelling

Develop an understanding of situations in which different models are likely to be appropriate, learning more about generalised linear models, repeated measurement data, and traditional and modern approaches to data analysis.

Asymptotic Methods

Discover the basic ideas of asymptotic analysis and further develop your skills in solving a range of problems involving nonlinear equations, integrals and differential equations.

Numerical Analysis II

Motivate, develop and analyse a range of algorithms for the approximate solution of problems of continuous mathematics and techniques in numerical linear algebra.

Dynamical Systems and Applications

Analyse dynamical systems and their applications to real-world problems. You’ll explore systems of linear and nonlinear differential equations, and understand how they’re applied to biological issues such as population growth, cell systems, and the spread of infectious diseases.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Fees

New UK/Republic of Ireland students: The University of Reading will charge undergraduate home tuition fees at the upper limit as set by the UK government for the relevant academic year. The fee cap for 2026/27 hasn't been confirmed yet. Please check the fees and funding webpage for the latest information. The annual fee for 2025/26 is £9,535.

New international students: £30,650 for 2026/27. The International tuition fee is subject to annual increases changes in subsequent years of study as set out in your student contract. For more details, please visit our Fees for International Students page.

UK/Republic of Ireland fee changes

UK/Republic of Ireland undergraduate tuition fees are regulated by the UK government. These fees are subject to parliamentary approval and any decision on raising the tuition fees cap for new UK students would require the formal approval of both Houses of Parliament before it becomes law.

EU student fees

With effect from 1 August 2021, new EU students will pay international tuition fees. For exceptions, please read the UK government’s guidance for EU students.

Additional costs

Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.

Financial support for your studies

You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.

Careers

Career opportunities with BSc Mathematics with Computer Science

Maths plays a key role in many aspects of modern life, from technological development to programming, coding and data analysis. Your mathematical knowledge – combined with the computing, teamwork and presentation skills you’ll gain during your degree – are highly valued by a range of employers.

Learn how Alice Windruss’s studies at Reading led to a graduate role in the University’s Planning and Strategy Office.

Overall, 90% of graduates from Mathematics and Statistics are in work or further study within 15 months of graduation (Based on our analysis of HESA data © HESA 2024, Graduate Outcomes Survey 2021/22; includes first degree Mathematics and Statistics responders).

You could choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics, or find a career in the private sector.

Your mathematics degree is well-suited to a range of careers, including:

accountancy
financial analysis
engineering
modelling
computing
actuarial work.

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

Previous Reading graduates have gone on to work for organisations such as:

BDO
Civil Service
Deloitte
EY
Grant Thornton
JLL
Lloyds Banking Group
IBM
IQVIA
KPMG
NHS
Pepsi Co
PwC.

Opportunities in the Thames Valley

You’ll benefit from studying in the Thames Valley – the capital of the UK's tech industry. Located within a short distance of the University, you’ll find:

Microsoft
Oracle
Hewlett Packard
Intel
Fujitsu
Cisco
IBM.

Some of these companies have worked directly with the University to recruit Reading graduates. IBM and EY have also provided mock assessment centres for Reading students, where you can experience the graduate recruitment process and gain valuable feedback before applying.

Based on our analysis of HESA data © HESA 2020-2024, Graduate Outcomes Surveys 2017/18-2021/22, includes undergraduate responders from the Department of Mathematics.

BSc Mathematics with Computer Science

Choose BSc Mathematics with Computer Science at the University of Reading

What you’ll study

Chartered Mathematician designation

A supportive learning community

Maths research at the University of Reading

Computer science facilities

Professional placements with BSc Mathematics with Computer Science

Study Abroad

UK/Republic of Ireland fee changes

EU student fees

Additional costs

Financial support for your studies

Career opportunities with BSc Mathematics with Computer Science

Opportunities in the Thames Valley

Ready for more?