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CHOOSE A SUBJECT
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  • Agriculture
  • Ancient History
  • Anthropology
  • Archaeology
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  • Architecture
  • Art
  • Biochemistry
  • Biological Sciences
  • Biomedical Engineering
  • Biomedical Sciences
  • Bioveterinary Sciences
  • Building and Surveying
  • Business and Management

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  • Classics and Classical Studies
  • Climate Science
  • Computer Science
  • Construction Management
  • Consumer Behaviour and Marketing
  • Creative Writing
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  • Ecology
  • Economics
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  • English Language and Applied Linguistics
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We are in the process of finalising our postgraduate taught courses for 2026/27 entry. In the meantime, you can view our 2025/26 courses.


This course is available in Clearing. Register your interest today and we’ll let you know when Clearing reopens on Thursday 14 August.


MMath Mathematics

  • UCAS code
    G103
  • Clearing Offer
    Please contact us to discuss entry requirements
  • Year of entry
    2025/26 See 2026/27 entry
  • Course duration
    Full Time:  4 Years
  • Year of entry
    2025/26 See 2026/27 entry
  • Course duration
    Full Time:  4 Years

Expand your mathematical skills and knowledge, and develop master’s-level expertise, with our four-year MMath Mathematics degree.

You'll follow the same curriculum as our BSc Mathematics course for the first three years of study, before undertaking a piece of advanced project work in your fourth year.

The depth and breadth of our MMath Mathematics course allows you to extend your studies and further your knowledge in preparation for postgraduate research studies or employment. In your final year, you'll acquire master’s-level knowledge of applied and pure mathematics.

Choose MMath Mathematics at the University of Reading

  • Enjoy an enviable staff to student ratio, with a personalised focus on your education. Overall, 98% of our students said teaching staff are good at explaining things (National Student Survey 2025, 98% of responders from the Department of Mathematics and Statistics).
  • 98% of our mathematical research is world leading or internationally excellent and 100% of our research impact has been classed outstanding or very considerable (Research Excellence Foundation 2021, combining 4* and 3* submissions – Mathematical Sciences).
  • The University of Reading is in the top 125 in the world for Physical Sciences (Times Higher Education World University Rankings 2025, by Subject).

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 15 consecutive years in the Green Flag Awards. Moreover, here at Reading we're taking action to build a better global future for everyone:

  • Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025
  • 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25)
  • Winner of the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.

What you'll study

On our MMath Mathematics course you'll gain specialist skills for a career as a research mathematician, whether in industry, academia or elsewhere.

Your first two years of study will cover the essentials of mathematics and develop your knowledge in areas such as:

  • algebra
  • analysis
  • calculus
  • differential equations.

The second year features a skills module, designed to improve your transferable skills and enhance your employability. You'll explore topics such as mathematical computing, communication and teamwork.

You'll also have the option to select modules from outside our department. For example, you could learn a language through the Languages for All programme.

In the third year of your degree, you'll focus your knowledge by exploring areas of interest in greater depth. The majority of modules in this year are optional, and include subjects from pure and applied mathematics or statistics, including:

  • number theory and cryptography
  • dynamical systems
  • numerical analysis
  • methods of machine learning.

You will also undertake mathematical and/or statistical project work.

Throughout your degree, we'll extend your skills, knowledge and resilience and play to your strengths, tailoring your degree to suit developing career aspirations.

Chartered Mathematician designation

Our MMath Mathematics degree is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician designation.

A supportive learning community

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

You will benefit from an enviable staff to student ratio, with a personalised focus on your education. Overall, 96% of our students said it was easy to contact teaching staff when they needed to (National Student Survey 2025, 95.9% 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 relevant research in a wide range of areas. Our real-world expertise will enhance your learning and understanding, keeping you updated with 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 mathematics.

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. 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.

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

  • Professor Sue Todd combines methodological work on novel statistical design and analysis approaches with practical research to facilitate implementation of statistical methods in the healthcare sector.
  • Dr Zuowei Wang studies structural and dynamic behaviours of natural and synthesized materials, providing valuable insights to address the sustainability challenge.
  • Professor Sarah Dance focusses on data assimilation and uses ideas from dynamical systems, numerical analysis and machine learning to improve forecasts of flooding and high impact weather.
  • Dr Sugata Mondal contributes to two important problems: (1) small eigenvalues of surfaces and (2) hot spots problems for Euclidean domains, and has had a significant impact for academics within the mathematical community.

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

Professional placements with MMath Mathematics

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

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

Alternatively, you can choose our MMath Mathematics with Placement Year, a five-year version of this course with an integrated work placement between your second and third years.

  • Read about Francesca's experiences at Morgan Stanley and Sally's placement with pharmaceutical giant GlaxoSmithKline (GSK).

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, please visit the Study Abroad website.


Overview

Expand your mathematical skills and knowledge, and develop master’s-level expertise, with our four-year MMath Mathematics degree.

You'll follow the same curriculum as our BSc Mathematics course for the first three years of study, before undertaking a piece of advanced project work in your fourth year.

The depth and breadth of our MMath Mathematics course allows you to extend your studies and further your knowledge in preparation for postgraduate research studies or employment. In your final year, you'll acquire master’s-level knowledge of applied and pure mathematics.

Choose MMath Mathematics at the University of Reading

  • Enjoy an enviable staff to student ratio, with a personalised focus on your education. Overall, 98% of our students said teaching staff are good at explaining things (National Student Survey 2025, 98% of responders from the Department of Mathematics and Statistics).
  • 98% of our mathematical research is world leading or internationally excellent and 100% of our research impact has been classed outstanding or very considerable (Research Excellence Foundation 2021, combining 4* and 3* submissions – Mathematical Sciences).
  • The University of Reading is in the top 125 in the world for Physical Sciences (Times Higher Education World University Rankings 2025, by Subject).

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 15 consecutive years in the Green Flag Awards. Moreover, here at Reading we're taking action to build a better global future for everyone:

  • Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025
  • 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25)
  • Winner of the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.

What you'll study

On our MMath Mathematics course you'll gain specialist skills for a career as a research mathematician, whether in industry, academia or elsewhere.

Your first two years of study will cover the essentials of mathematics and develop your knowledge in areas such as:

  • algebra
  • analysis
  • calculus
  • differential equations.

The second year features a skills module, designed to improve your transferable skills and enhance your employability. You'll explore topics such as mathematical computing, communication and teamwork.

You'll also have the option to select modules from outside our department. For example, you could learn a language through the Languages for All programme.

In the third year of your degree, you'll focus your knowledge by exploring areas of interest in greater depth. The majority of modules in this year are optional, and include subjects from pure and applied mathematics or statistics, including:

  • number theory and cryptography
  • dynamical systems
  • numerical analysis
  • methods of machine learning.

You will also undertake mathematical and/or statistical project work.

Throughout your degree, we'll extend your skills, knowledge and resilience and play to your strengths, tailoring your degree to suit developing career aspirations.

Chartered Mathematician designation

Our MMath Mathematics degree is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician designation.

Learning

A supportive learning community

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

You will benefit from an enviable staff to student ratio, with a personalised focus on your education. Overall, 96% of our students said it was easy to contact teaching staff when they needed to (National Student Survey 2025, 95.9% 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 relevant research in a wide range of areas. Our real-world expertise will enhance your learning and understanding, keeping you updated with 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 mathematics.

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. 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.

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

  • Professor Sue Todd combines methodological work on novel statistical design and analysis approaches with practical research to facilitate implementation of statistical methods in the healthcare sector.
  • Dr Zuowei Wang studies structural and dynamic behaviours of natural and synthesized materials, providing valuable insights to address the sustainability challenge.
  • Professor Sarah Dance focusses on data assimilation and uses ideas from dynamical systems, numerical analysis and machine learning to improve forecasts of flooding and high impact weather.
  • Dr Sugata Mondal contributes to two important problems: (1) small eigenvalues of surfaces and (2) hot spots problems for Euclidean domains, and has had a significant impact for academics within the mathematical community.

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

Professional placements with MMath Mathematics

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

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

Alternatively, you can choose our MMath Mathematics with Placement Year, a five-year version of this course with an integrated work placement between your second and third years.

  • Read about Francesca's experiences at Morgan Stanley and Sally's placement with pharmaceutical giant GlaxoSmithKline (GSK).

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, please visit the Study Abroad website.


Structure

  • Year 1
  • Year 2
  • Year 3
  • Year 4

Compulsory modules

Real Analysis I

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

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.

Mathematical Communication

Discover the importance of expressing mathematical concepts and results clearly, logically and concisely and how to implement basic problem-solving strategies such as data visualisation, pattern exploration and programming.

Probability and Statistics 

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

These are the modules we currently offer for 2025/26 entry. They may be subject to change as we regularly review our module offerings to ensure they're informed by the latest teaching and research 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.

Algebra 

Understand the concepts of abstract algebra, including groups, rings and fields and the connections between them.

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.

Real Analysis II

Expand your understanding analysis to cover continuity of functions, integration and differentiation.

Optional modules

Mathematical Methods and Physical Applications 

Discover how vector calculus and variational principles are applied to various areas of physics, such as classical mechanics, elements of electromagnetism and diffusion.

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.

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.

Probability and Statistical Theory

Uncover the interplay between probability theory and fundamental areas of mathematics, and formulate general real or abstract problems in a probabilistic model.

Climate Change: Causes and Consequences

Examine the causes and consequences of climate change, and ways of addressing climate risks through mitigation and adaptation.

These are the modules we currently offer for 2025/26 entry. They may be subject to change as we regularly review our module offerings to ensure they're informed by the latest teaching and research 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

Portfolio of Projects

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

Optional modules

Number Theory and Cryptography

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

Probability and Measure

Explore measure theory, integration and measure theoretic probability.

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.

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.

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.

Mathematical Physics 

Explore the core topics of mathematical physics, in particular Hamiltonian formulation of classical mechanics, quantum mechanics and statistical mechanics.

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.

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.

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.

Summer Placement

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

Further Topics in Algebra

Continue your study of finite groups and apply your knowledge to the subject of Galois Theory, which examines the conditions under which polynomial equations can be solved using elementary algebraic operations.

Topics in Pure and Applied Mathematics

Study two topics, integral equations and water waves. As well as studying the theory of integral equations, you will study numerical methods for their solution, and applications, including in meteorology. You will also study the theory of linear water waves and examine a range of phenomena, including reflection, refraction, group velocity and shallow water waves.

These are the modules we currently offer for 2025/6 entry. They may be subject to change as we regularly review our module offerings to ensure they're informed by the latest teaching and research 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

Part 4 Project

Develop an independent project in an area of mathematics of your choice and present your findings in the form of a presentation and dissertation.

Optional modules

The selection of modules available to you in Year 4 will be influenced by the modules you choose to study in Year 3 as you will not repeat topics. The modules you'll study in Year 4 are master's-level and are designed to build on your knowledge and skills, enabling you to develop a deeper perspective on mathematics content.

Further Topics in Algebra 

Continue your study of finite groups and apply your knowledge to Galois Theory, which examines the conditions under which polynomial equations can be solved using elementary algebraic operations.

Number Theory and Cryptography

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

Probability and Measure

Explore measure theory, integration and measure theoretic probability.

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.

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.

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.

Mathematical Physics 

Explore the core topics of mathematical physics, in particular Hamiltonian formulation of classical mechanics, quantum mechanics and statistical mechanics.

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.

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.

Topics in Pure and Applied Mathematics

Study two topics, integral equations and water waves. As well as studying the theory of integral equations, you will study numerical methods for their solution, and applications, including in meteorology. You will also study the theory of linear water waves, and examine a range of phenomena, including reflection, refraction, group velocity and shallow water waves.

These are the modules we currently offer for 2025/26 entry. They may be subject to change as we regularly review our module offerings to ensure they're informed by the latest teaching and research 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.

Fees

New UK/Republic of Ireland students: £9,535 per year for 2025/26 then fixed per year at this fee for the standard duration of your course.

New international students: £29,950 per year for 2025/26 then fixed per year at this fee for the standard duration of your course.

Tuition fees

To find out more about how the University of Reading sets its tuition fees, see our fees and funding pages.

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 MMath Mathematics

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 placement experience you’ll gain during your degree – are highly valued by a range of employers.

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

Overall, 92% of graduates from Mathematics and Statistics at the University of Reading are in work or further study within 15 months of graduation (Three-year average based on our analysis of HESA data © HESA 2022-2025, Graduate Outcomes Survey 2020/21-2022/23; 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.

Past graduates have gone on to work for employers such as:

  • Deloitte
  • Grant Thornton
  • PepsiCo
  • Lloyds Banking Group
  • PwC
  • IBM
  • BDO
  • the NHS.

(Based on HESA data © HESA 2021 - 2025, Graduate Outcomes Survey 2018/19 - 2022/23; includes first degree responders from the Department of Mathematics and Statistics).

You could also further develop your skills by moving into research, teacher training, or postgraduate study.

Clearing reopens 14 August

Register your interest now and we’ll get in touch when Clearing reopens.

 

Register

Life in the Department of Mathematics and Statistics

Find out what it's like to study in the Department of Mathematics and Statistics at the University of Reading.

Not only has the University increased my knowledge of Mathematics and Statistics but it has also made me a far more confident person. It is nice to know that whenever you have a problem, whether it is personal or academic, help is only round the corner.

Lonneke Spierings
MMath Mathematics

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