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MMath Mathematics

School of Engineering, Computing and Mathematics

Accredited by the Institute of Mathematics and its Applications (IMA)

Mathematics courses at Oxford Brookes focus on modern applications of mathematics. This programme is heavily focussed on the mathematical modelling of real-world problems, with particular emphasis on project work.

This four year course will equip graduates for careers involving a higher level of mathematical knowledge, or for further research.

The programme contains a strand of pure mathematics content, which is supplemented by modules covering mathematical methods and statistics. Running alongside this is a strand of mathematical modelling across the first two years, developing your ability to apply mathematics to a wide range of areas.

Typical offers

UCAS points: 128 - to include Mathematics

Available start dates

September 2018 / September 2019

Teaching location

Wheatley Campus

Course length

  • Full time: 4 years, or 5 years sandwich
  • Part time: up to 8 years

UCAS code


For full application details, please see the 'How to apply / Entry requirements' section.

  • The course is designed for students who wish to pursue further research in an academic setting, or who seek employment requiring a higher level of mathematical skills.
  • Mathematics at Oxford Brookes gains consistently good results in the National Student Survey.
  • 100 per cent of mathematics students said Oxford Brookes staff were "good at explaining things" in the 2015 National Student Survey.
  • The Guardian University Guide (2016) rated Brookes 24th best in the UK for mathematics subjects - we've been in the top 25 for four years running.
  • We specialise in building the skills that make Mathematics graduates employable. 92% of our graduates report that their course helped them to present themselves with confidence.
  • This course features an optional placement year.
During Year 1 you will develop essential knowledge and skills in mathematics and statistics, and will immediately learn to apply those ideas in a modelling context. You also have the opportunity to learn a language or to choose from a wide range of modules from across the University.

In the second year, you will extend these techniques further, and will select from a range of mathematics and statistics modules to suit your interests. You will explore a variety of problems from industry in the second year modelling module, and will encounter further applications in supplementary modules

An optional placement year is available for those who wish to consolidate their mathematics in an industrial or commercial setting, and students also have the opportunity to undertake study abroad.

The penultimate year focuses on the transferable skills of teamwork and communication, developing and refining key techniques of modelling and pure and applied mathematics in preparation for the fourth year project. 

The final year of study allows a choice of modules so that students can focus on the areas which are of most interest to them.

Study modules

As courses are reviewed regularly the module list you choose from may vary from that shown here.

You choose from a list of modules including:


Algebra and Calculus (double) - compulsory
This module provides an introduction to abstract algebra, algebraic systems and some important calculus topics with emphasis on technique. It provides a foundation for the study of linear algebra and mathematical analysis.

Mathematical Skills and Modelling (double) - compulsory
An introduction to the use of mathematics and mathematical software tools in the solution of real world problems.

Probability Theory - compulsory
An introduction to the basic ideas, concepts and methods of probability models and their theoretical bases.

Statistical Inference - compulsory
A first course in statistical inference, providing coverage of key statistical theory.

Introductory Mathematics
This module provides revision coverage of key topics in core A-level Mathematics, with particular emphasis on problem solving techniques and the correct presentation of mathematical arguments.

Discrete Mathematics
This module introduces the key mathematical concepts that underpin computer science, to equip students with knowledge of the language and structures of discrete mathematics and its relevance to a wide range of computing applications.

Basic Survey Methods
This module provides an introduction to the basic methods of design and analysis of surveys for engineering, business, marketing and other areas of application, with an emphasis on evaluating and communicating the results of a survey.

Students can also choose from a wide variety of modules from around the University.


Linear Algebra and Analysis - compulsory
This module introduces some fundamental concepts of linear algebra and analysis, core topics in the study of Mathematics at degree level. The module forms a basis for further study in these areas.

Mathematical Models - compulsory
This module introduces more advanced and complex ideas and techniques that can effectively model real-world problems with applications in industry, medicine and education.

Quantitative Research Methods - compulsory
This module introduces analytical methods related to both survey data and experimental designs, leading to independent or repeated samples data. The data is analysed using parametric and non-parametric techniques

Numerical Analysis I - compulsory
The module aims to be an introduction to concepts of numerical analysis and numerical problem solving using software packages. The module is a prerequisite for later modules which involve more specialised aspects of the subject.

Further Discrete Mathematics
This module develops and extends knowledge of discrete mathematics, particularly with reference to computing applications.

Applied Abstract Algebra
This module covers mathematical structures and their applications, and will also give an introduction to number theory and other areas of algebra. These will be developed with particular reference to applications such as crystallography, coding and cryptography.

Graph Theory
A first course in graph theory with emphasis on its applications. The module introduces the key concepts of graph theory, together with case studies to illustrate its wide applicability.

Complex Analysis
A lecture based course providing an introduction to the theory of functions of a complex variable. This module assumes some previous knowledge of real analysis.

Time Series Analysis
Analysis of univariate time series: description, modelling and forecasting. This module is aimed at the students who wish to gain a working knowledge of time series and forecasting methods as applied in economics, engineering and the natural and social sciences.

Mathematical Statistics
The mathematics-based treatment of the theory and application of statistics.

Simulation and Modelling
This module builds on students' experience of modelling and explores the application of mathematics, statistics and sophisticated computer tools to the solution of problems using simulation and modelling techniques.

The aim of this year is to provide a safe structured one year placement opportunity for students so that they can apply and develop the skills they have learnt as part of their university course.


Ordinary and Partial Differential Equations - compulsory
This is a lecture based module studying ordinary differential equations and analytical methods used in the solution of partial differential equations.

Honours Topics in Mathematics - compulsory
This module provides a selection of topics offering opportunities for honours level study in mathematics, including current research, and for the further development of independent learning, research and presentation skills.

Numerical Analysis II - compulsory
A single honours course covering the concepts and theory of numerical analysis, extending experience in the application of numerical analysis to the solution of problems. The module aims to study the theory and practice of numerical analysis for problem solving.

Topology - compulsory
The aim of this module is to introduce the basic notions of general topology with emphasis on metric spaces. This module extends the students' understanding of the fundamental structure of the central mathematical objects that are topological spaces.

Group Project in Mathematics - compulsory
This module will provide students with the opportunity to work in teams on an extended study of a selected topic, with appropriate guidance, from any suitable area of the students’ course in Mathematics. A selection of appropriate topics will be provided.

A single honours module which aims to give a broad introduction to geometry in two, three and higher dimensions. The module builds on students’ previous knowledge of vectors and matrix algebra at advanced level and requires some prior knowledge of calculus.

Regression Models
This module provides coverage of the theory and application of multiple linear and nonlinear regression models.


MMath Project - compulsory
This module will provide students with the opportunity to undertake an extended study of a selected topic of research, with appropriate guidance, from any suitable area of the student's course in Mathematics. Guidance will be provided on appropriate topics.

Functional Analysis
This course provides an introduction to the basic concepts of functional analysis. These concepts are crucial in the modern study of partial differential equations, Fourier analysis, quantum mechanics, probability, inverse problems and many other fields.

Inverse Problems
This module provides depth of knowledge in both theoretical and computational techniques for solving inverse problems by virtue of their applications to industry, geophysics and medicine.

Computation and Modelling
This module gives depth of knowledge in advanced modelling techniques and breadth of analysis by virtue of its applications. Students build computer models using MATLAB and Simulink.

Numerical Solution of Differential Equations
This course aims to introduce students to the numerical solution of both ordinary and partial differential equations using both finite difference approximations and finite element methods.

Stochastic Processes
The study of models that change according to probabilistic laws over time and application of these models to problems in natural and social sciences.

Reliability and Risk Management
The module teaches and practices principles and techniques for improving the reliability of products, analysing reliability at a system and component level and assessing, reducing and managing technical risk.

Categorical Data Analysis
The emphasis in this module is to give a solid foundation to practical aspects of the statistical techniques required to make inferences about categorical data from a range of sources.

Advanced Statistical Modelling with SAS
This module introduces a broad class of linear and nonlinear statistical models and the principles of likelihood inference to a variety of commonly encountered data analysis problems in medical research.

Work placements

It is possible to study for the MMath in Mathematics as a five-year sandwich course, the third year being spent in supervised work experience. 

Our work placement programme has been commended by professional bodies as a model of excellence. A placement year enables you to work in industry or commerce for one year between the second and penultimate years of your course. Students taking this option recognise the benefits of obtaining professional experience, consolidating their understanding of mathematics, and having the opportunity to apply their knowledge in a professional setting.

On returning to university for their final year, the experience students have gained invariably improves their academic performance. We have an excellent record of graduates gaining full-time employment with their industrial-placement-year company.

The department provides assistance with finding a suitable placement, although students may also search for a placement independently.

Please note that you would be an employee of the company with which you undertake your placement, and may incur additional transport and accommodation costs if the company is not a local one. In addition, you may be required to complete a DBS check for some placement providers, and the cost of this would be borne by the student.

Study abroad

You may be able to go on an optional European or international study exchange while you are at Brookes. Most exchanges take place in the second year, and are facilitated by the University.

Studying abroad provides an amazing opportunity to add value to your studies by:
  • increasing your employability within an international market
  • boosting your language skills
  • building your confidence in adapting to new situations
  • improving your knowledge of different cultures.
While on exchange you will gain credits which count towards your degree.

We have more than 100 partner universities around the world. Funding is available through the Erasmus scheme, and also via some international programmes such as the Santander Student Awards. 

There is also a European work placement programme which gives you the chance to work abroad as part of your studies.

For more information, visit our pages on studying abroad and exchanges

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:

  • studying at a Brookes partner college
  • studying on any of our teacher education courses or postgraduate education courses.

Programme changes

On rare occasions we may need to make changes to our course programmes after they have been published on the website. For more information, please visit our Changes to programmes page.

Teaching and learning

We use a wide range of teaching methods, including lectures, problem-solving classes and group work, as well as guided reading and research. Lecturers will generally supply extensive handouts and booklets during sessions. Our experienced staff provide tutorial support in practical classes and on a one-to-one basis where required. You will also be able to access online educational materials through our virtual learning environment.

Approach to assessment

Coursework is an important element in assessment and is highly valued by students for the feedback it provides. Most modules are assessed using a combination of coursework and examination, although some rely solely on coursework. 

Assessment methods include individual work, group assignments, presentations and project work. Coursework tasks are innovative, ensuring that students develop the key skills that are sought by employers.

Tuition fees

Home/EU - full time fee: 2018/19: £9,250

Home/EU - cost per module: 2018/19: £750 per single module

Home/EU - sandwich placement fee: 2018/19: £1,380

International - full time: 2017/18: £12,890

International - sandwich placement fee: 2017/18: £3,840

Please note tuition fees for Home/EU students may increase in subsequent years both for new and continuing students in line with an inflationary amount determined by government. Tuition fees for International students may increase in subsequent years both for new and continuing students.

Oxford Brookes University intends to maintain its fees for new and returning home and EU students at the maximum permitted level.

Please be aware that some courses will involve some additional costs that are not covered by your fees. Specific additional costs for this course, if any, are detailed in the 'This course in detail' window above.

Questions about fees?
Contact Student Finance on:
+44 (0)1865 483088

Funding and scholarships

For general sources of financial support, see:

Typical offers

UCAS points: 128 - to include Mathematics

A-level: ABB or equivalent to include Maths grade A

International Baccalaureate: 32 points, to include at least a 5 in Higher Level Mathematics

BTEC: grades DD plus grade A in A-Level Mathematics

A new UCAS Tariff point system is being introduced for students applying to start university in September 2017, which uses  a qualification’s size and grades to calculate total Tariff points under a brand new system. Therefore the Tariff points for 2017 entry look very different from 2016 entry - the 2017 ABB equivalent for this course will be 128 UCAS points for 2017. Please visit the UCAS website for more information.

Specific entry requirements

A-Level: grade A minimum in Mathematics

GCSE: grade C minimum in English Language

Please also see the University's general entry requirements.

English language requirements

Please see the University's standard English language requirements

International and EU applications

Preparation courses for EU students

We offer a range of courses to help students meet the academic and English language entry requirements for their courses and also familiarise them with university life.

Find out more about the international foundation pathways we offer and our pre-sessional English language courses.

Country specific entry requirements

If you are studying outside the UK, for more details about your specific country entry requirements, translated information and local representatives who can help you to apply, please have a look at our country specific information pages.

English requirements for visas

If you need a student visa to enter the UK you will need to meet the UK Visas and Immigration minimum language requirements as well as the University's requirements. Find out more about English language requirements.

How to apply

Full-time students should apply for this course through UCAS.

Students may apply directly for the MMath course via UCAS, or may transfer from the BSc in Mathematics up to the end of the second year (subject to suitable progress)

Terms and Conditions of Enrolment

When you accept our offer, you agree to the Terms and Conditions of Enrolment. You should therefore read those conditions before accepting the offer.

Credit transfer

Oxford Brookes operates the European Credit Transfer System (ECTS). All undergraduate single modules are equivalent to 7.5 ECTS credits and double modules to 15 ECTS credits. More about ECTS credits.

Specialist facilities

You will have access to excellent computer facilities. The department is located in modern buildings with its own networks of computers as well as full use of the university's extensive PC networks. We emphasise the importance of developing computer skills and give our students many opportunities to use specialist software packages during their course.

General support services

Supporting your learning

From academic advisers and support co-ordinators to specialist subject librarians and other learning support staff, we want to ensure that you get the best out of your studies.

Personal support services

We want your time at Brookes to be as enjoyable and successful as possible. That's why we provide all the facilities you need to be relaxed, happy and healthy throughout your studies.

Professional accreditation

The MMath course in Mathematics has been accredited by the Institute of Mathematics and its Applications (IMA) for the purpose of meeting in full the educational requirement for chartered status.

Career prospects

Recent research has shown that graduates in mathematical disciplines enjoy one of the highest earning potentials of all graduates. Employers recognise that mathematical knowledge and skills are essential to the solution of many current problems, not only in science and technology but also in business and commerce.

This course places particular emphasis on mathematical modelling and the use of mathematics in modern application areas, ensuring that our graduates will have the knowledge and skills that are most valued by employers.

As well as using their knowledge directly in scientific research and teaching, graduates in Mathematics go on to develop careers in accountancy, computing, actuarial, market research or management work where they can use their numeracy and skills such as problem-solving and statistical modelling. 

Graduates in Mathematics are particularly well equipped for a career in information technology and related areas. For example, demand is strong for graduates capable of developing error-free software that is mathematically based and also for those who can exploit sophisticated software and technology effectively.