Find a courseExpand
September 2023 / September 2024
Full time: 3 years, or 4 if a work placement is chosen
Part time: up to 8 years
UCAS Tariff Points
With recent developments in digital technology, society has entered the era of 'big data'. With this data science revolution, there is a huge increase in the demand for graduates with advanced mathematical knowledge. Employers recognise that mathematical knowledge and modelling skills are essential to the solution of many current problems the world is facing and can be applied to almost any industry. Studying mathematics at Oxford Brookes will equip you to help solve these problems.
Our Mathematics degree gives you a firm theoretical knowledge of mathematics and real-world applications, providing a good balance of fundamental mathematical principles, statistics and programming.
You will also gain strong key skills for the workplace, such as:
- problem solving
- team working
- time management
You can also choose to take the work placement, which provides invaluable real-world experience.
Taking this course can lead to a wide range of career options, including;
- data science
- actuarial science.
How to apply
Wherever possible we make our conditional offers using the UCAS Tariff. The combination of A-level grades listed here would be just one way of achieving the UCAS Tariff points for this course.
UCAS Tariff Points: 112
A Level: BBC
IB Points: 30
UCAS Tariff Points: 88
A Level: CCD
IB Points: 27
Further offer details
Required subjects include: Mathematics
IB Diploma: 30 points, to include at least a 5 in Higher Level Mathematics (4 for contextual offers)
BTEC and A levels: Your tariff points must include A level Mathematics grade B (C for contextual offers)
We welcome applications from candidates with alternative qualifications, and from mature students.
Specific entry requirements
A Level: Grade B minimum in Mathematics
Please also see the University's general entry requirements.
English language requirements
Please see the University's standard English language requirements.
International qualifications and equivalences
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.
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.
Many of our courses consider applications for entry part-way through the course for students who have credit from previous learning or relevant professional experience.
Find out more about transferring to Brookes. If you'd like to talk through your options, please contact our Admissions team.
Full time Home (UK) applicantsApply through UCAS
Part time Home (UK) applicantsApply direct to the University
International applicantsApply direct to the University
Full time international applicants can also apply through UCAS
Questions about fees?
Contact Student Finance on:
Questions about fees?
Contact Student Finance on:
+44 (0)1865 483088
Please note, tuition fees for Home 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 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 are detailed below.
|Additional costs||Amount (£)|
|Disclosure Barring Service (DBS) initial check (if you undertake specific modules or placements in some providers)||£54|
|Additional costs||Amount (£)|
|Travel and associated costs if relevant when undertaking work placements.||£30-700 per year|
If you are considering bringing your own computer, most of the software we use is on Windows machines though there is some use of Linux. We do not use Apple MacOS and their use is not required but some students do choose to bring MacOS machines so a Mac can be a viable choice if you so wish.
It’s your responsibility to cover print / binding costs where coursework submission is required. Please note that a lot of the coursework is now submitted online.
|You may choose to purchase books to support your studies. Many books on our reading lists are available via the Library, or can be purchased secondhand.||£20-60 per book|
Accommodation fees in Brookes Letting (most do not include bills)
|£94-265 per week|
Accommodation fees in university halls (bills included, excluding laundry costs)
|£122-180 per week|
Graduation costs include tickets, gowning and photography. Gowns are not compulsory but typically students do hire robes, starting at £41.
Students are responsible for their own travel to and from university for classes. BrookesBus travel is subsidised for full-time undergraduate students that are on a course with a fee of £9,250 or more, or living in an Oxford Brookes hall of residence. There is an administration fee for the production of a BrookesKey.
Funding your studies
Financial support and scholarships
Featured funding opportunities available for this course.
All financial support and scholarships
Learning and assessment
In Year 1 you will study modules that develop your abstract thinking and problem-solving skills. They also support your transition from A-Level to university. You will also learn programming and explore real computational applications as part of your practical work. You will develop essential skills in mathematics.
Year 2 and 3 modules will enable you to apply your knowledge of mathematics, statistics and programming to applications of machine learning and artificial intelligence.
Fundamentals of Abstract and Linear Algebra (double)
This module provides an introduction to the formal language of mathematics. You will learn about methods of proof, logic, matrices and determinants, vector spaces, linear maps, diagonalisation and applications of linear algebra.
Probability and Statistics (double)
An introduction to the basic ideas, concepts and methods of probability and statistics. This module will introduce you to the fundamentals of data analysis, skills which are key for many jobs in industry and banking.
Problem Solving and Programming (double)
An introduction to software development using Python, one of the most used programming languages by industry and science.
Calculus and Analysis (double)
This module introduces you to calculus in one and several variables. You will learn about functions of one and several variables, limits of functions, differentiability and integrability, partial differentiation, multiple integrals, changes of variable for multiple integrals, sequences, series, sequences and series of functions.
Differential Equations for Applications (double)
This module will provide you a thorough overview about the theory and solution techniques of ordinary and partial differential equations. Differential equations are used in a wide range of fields such as: Physics, Engineering, Biology and Medicine, Economics and Finance, etc.
Applied Data Analysis (double)
This module provides a sound background on regression techniques and linear models and general linear models. Regression is one of the main techniques used to forecast.
Numerical Methods in Scientific Computing (double)
The module aims to be an introduction to concepts of numerical analysis and numerical problem solving using software packages. Numerical analysis focused on how to solve complicated problems that we cannot do by hand or that would require a large amount of time.
Vector Calculus and Differential Geometry
This module develops and extends knowledge of analysis and linear algebra to understand vector fields, curves and surfaces. These subjects have applications in meteorology, astronomy and fluid mechanics.
Mathematical Models and Simulation
This module introduces more advanced and complex ideas and techniques that can effectively model real-world problems with applications in industry, medicine and education.
Independent Study in Mathematics
Work Experience Placement
Year 3 (optional placement year)
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.
Year 4 (or year 3 if no placement)
Perspectives in Modern Mathematics and Statistics (double)
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.
Final Year Dissertation (double)
An extended study of a topic selected, with appropriate guidance, from any suitable area of the student's course in Mathematics or Statistics.
Computational Methods for Mathematical Models (double)
A course building on previous Numerical Analysis and Mathematical Models modules which introduces more advanced and sophisticated numerical techniques to solve PDEs which model real world problems in Engineering, Science and Industry.
This module provides coverage of artificial intelligence that provides systems the ability to automatically learn from previous experience data.
Advanced Statistical Modelling
The aim of this module is to build on your data analysis skills with more advanced modelling methods such as the analysis of time series.
Independent Mathematical Investigation
The aim of this module is to independently develop a guided study on a topic not covered by any of the other modules.
This is a lecture based module covering the theory, practice and computational mathematics behind financial markets, time value of money, portfolio management, risk measures, stochastic methods and Blach-Scholes models and derivatives.
Please note: As our courses are reviewed regularly as part of our quality assurance framework, the modules you can choose from may vary from those shown here. The structure of the course may also mean some modules are not available to you.
Learning and teaching
We use a wide range of teaching methods, including;
- problem-solving classes
- group work
- guided reading
You will receive extensive handouts and booklets during sessions and lectures. Our experienced staff provide tutorial support in practical classes. And you can see them one-to-one when needed.
You will be able to access online educational materials through our virtual learning environment.
Assessment methods used on this course
Our assessment methods include;
- individual work
- group assignments
- project work.
Coursework is an important part of your assessments and provides valuable feedback. We assess most modules through a mixture of coursework and examination, but some are assessed solely on coursework.
You may be able to go on a European or international study exchange while you are at Brookes. Most exchanges take place in the second year. Although we will help as much as we can with your plans, ultimately you are responsible for organising and funding this study abroad.
After you graduate
Many of our graduates progress to postgraduate study, both at MSc and PhD level. In particular, this programme provides excellent grounding to progress to our postgraduate programmes, MSc Data Analytics (designed in collaboration with the Office for National Statistics) or MSc Computing Science.
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.
Thus, as well as using their knowledge directly in scientific research, graduates in Mathematics go on to develop careers in accountancy, computing, actuarial, market research or management work, where they can apply their numeracy and skills such as problem-solving and statistical modelling. Graduates in Mathematics are also well prepared 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.
As mathematics is a National Curriculum subject, a mathematics degree will equip you to proceed directly to a teaching qualification. There is high demand for mathematics graduates in the teaching profession.
Free language courses
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.
Information from Discover Uni
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.