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MMath Mathematics with a Placement Year

  • UCAS code
    G104
  • A level offer
    ABC
  • Year of entry
    2024/25
  • Course duration
    Full Time: 5 Years
  • Year of entry
    2024/25
  • Course duration
    Full Time: 5 Years

Develop master's level expertise in mathematics and gain valuable industry insight with our MMath Mathematics with a Placement Year course.

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

The depth and breadth of our MMath Mathematics with a Placement Year 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 with a Placement Year at the University of Reading

  • Gain valuable industry insight with a paid year-long placement.
  • Acquire specialist skills for a career as a research mathematician, whether in industry, academia or elsewhere.
  • Our MMath Mathematics course is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician status.
  • The University of Reading is in the top 100 in the world for Physical Sciences (Times Higher Education World University Rankings 2023, by Subject).
  • 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).

Placement Year

This degree includes an integrated, year-long work placement between your second and third year.

We offer a variety of placements – in areas such as finance, statistics or 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.

A supportive learning community

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

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.

We aim to:

  • deliver high-quality, interactive teaching
  • collaborate with students to create an exceptional learning environment
  • develop your knowledge and skills through varied teaching and assessment methods
  • boost your confidence in mathematics and preparing you for employment.

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.

You'll also be encouraged to join our department's Student Staff Partnership Group, enabling you to have a direct input into the student experience. 

97% of students in the Department of Mathematics and Statistics said our teaching staff were good or very good at explaining things (National Student Survey, 2023).

Hear from our Mathematics students

  • Alice Winduss took full advantage of the opportunities available during her degree, including a work placement, using her skills to land a role working at the University of Reading.
  • Sally Cockayne completed a placement as a student statistician at GSK, allowing her to gain valuable experience and helping her decide on a future career.
  • Gwen Perry had a positive experience during her placement with Thames Water, supporting her aspirations in statistics.

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

Develop master's level expertise in mathematics and gain valuable industry insight with our MMath Mathematics with a Placement Year course.

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

The depth and breadth of our MMath Mathematics with a Placement Year 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 with a Placement Year at the University of Reading

  • Gain valuable industry insight with a paid year-long placement.
  • Acquire specialist skills for a career as a research mathematician, whether in industry, academia or elsewhere.
  • Our MMath Mathematics course is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician status.
  • The University of Reading is in the top 100 in the world for Physical Sciences (Times Higher Education World University Rankings 2023, by Subject).
  • 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).

Placement Year

This degree includes an integrated, year-long work placement between your second and third year.

We offer a variety of placements – in areas such as finance, statistics or 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.

Learning

A supportive learning community

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

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.

We aim to:

  • deliver high-quality, interactive teaching
  • collaborate with students to create an exceptional learning environment
  • develop your knowledge and skills through varied teaching and assessment methods
  • boost your confidence in mathematics and preparing you for employment.

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.

You'll also be encouraged to join our department's Student Staff Partnership Group, enabling you to have a direct input into the student experience. 

97% of students in the Department of Mathematics and Statistics said our teaching staff were good or very good at explaining things (National Student Survey, 2023).

Hear from our Mathematics students

  • Alice Winduss took full advantage of the opportunities available during her degree, including a work placement, using her skills to land a role working at the University of Reading.
  • Sally Cockayne completed a placement as a student statistician at GSK, allowing her to gain valuable experience and helping her decide on a future career.
  • Gwen Perry had a positive experience during her placement with Thames Water, supporting her aspirations in statistics.

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.

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

Structure

  • Year 1
  • Year 2
  • Year 3
  • Year 4
  • Year 5

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 2024/25 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.

Optional modules

Real Analysis II

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

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.

These are the modules 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 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.

Placement Year

Compulsory modules

Portfolio of Projects

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

Optional modules

Complex Analysis

Gain an introduction to complex analysis and how its functions can be represented, exploring aspects such as power series, exponential functions, trigonometric functions and hyperbolic functions. 

Metric Spaces and Functional Analysis 

Study analysis from a more general perspective based on the concepts of distance, including Normed, metric spaces, the concepts of convergence, continuity, compactness and completeness.

Number Theory and Cryptography

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

Probability and Measures

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.

Partial Differential Equations and Applications 

Examine partial differential equations and how they appear in practical applications and natural phenomena, in particular fluid mechanics, water waves and wave scattering theory.

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.

Peer Assisted Learning

Gain a deeper understanding of your own learning and that of your peers through a series of weekly sessions. You’ll develop your coaching, organisational, presentation and communication skills by leading peer study groups and can be excellent experience if you’re considering postgraduate teacher training.

These are the modules 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 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 or dissertation.

Optional modules

The selection of modules available to you in Year 5 will be influenced by the modules you choose to study in Year 4 as you will not repeat topics. The modules you'll study in Year 5 are master's-level and are designed to build on your knowledge and skills, enabling you to develop a deeper perspective on mathematics content.

Complex Analysis

Gain an introduction to complex analysis and how its functions can be represented, exploring aspects such as power series, exponential functions, trigonometric functions and hyperbolic functions. 

Number Theory and Cryptography

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

Probability and Measures

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.

Partial Differential Equations and Applications 

Examine partial differential equations and how they appear in practical applications and natural phenomena, in particular fluid mechanics, water waves and wave scattering theory.

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.

These are the modules 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 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: £9,250

New international students: £27.650

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.

Placement year fees

If you spend a full year on placement, you will only pay 15% of your usual tuition fee for that year. For more information, please see our fees and funding pages or contact placements@reading.ac.uk.

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

Mathematics plays a key role in many aspects of modern life, including technological development, programming and coding, and data analysis.

Your mathematical knowledge – combined with computing, teamwork and presentation skills – will help make you highly desirable to a range of employers. As a graduate of MMath Mathematics with a Placement Year, your advanced knowledge and skills will also be suited to a career in mathematical research, whether in industry, academia or elsewhere.

You may choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics. You may also be interested in areas of the private sector, including commerce and information technology.

Alternatively, you could move into a range of related careers, such as:

  • accountancy
  • financial analysis
  • engineering
  • modelling
  • computing
  • actuarial work.

Overall, 92% of graduates from Mathematics and Statistics are in work or further study within 15 months of graduation.* Recent students have gone on to work for leading organisations from a wide variety of sectors, including PepsiCo, the BBC, the Bank of East Asia, and BAE Systems.

*Based on our analysis of HESA data © HESA 2023, Graduate Outcomes Survey 2020/21; includes first degree Mathematics and Statistics responders.

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

Contextual offers


We make contextual offers for all our courses.

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