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Introduction
Why choose this course?
Overview
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
 communication
 time management
 self-motivation.
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
 banking
 actuarial science.
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.
Standard offer
UCAS Tariff Points: 112
A Level: BBC
IB Points: 30
BTEC: DMM
Contextual offer
UCAS Tariff Points: 88
A Level: CCD
IB Points: 27
BTEC: MMM
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.
Modules
Year 1
Compulsory modules
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.
Year 2
Compulsory modules
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.
Optional modules
Independent Study in Mathematics
Work Experience Placement
Year 3 (placement year)
Optional modules
Professional Placement
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)
Compulsory modules
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.
Optional modules
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.
Machine Learning
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.
Financial Mathematics
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.
Study abroad
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.
Entry Criteria
ENTRY REQUIRED DOCUMENTS
Home Office Share Code
For EU students only.
IF no Qualification
Please provide CV with at least 2 years of work experience, and employee reference letter.
Entry requirements
Specific entry requirements
A Level: Grade B minimum in Mathematics
GCSE: Grade 4 (C) in Mathematics
Our standard entry requirement is three A-levels or equivalent qualifications. In some cases, courses have specific required subjects and additional GCSE requirements. In addition to A-levels, we accept a wide range of other qualifications including:
 the Welsh Baccalaureate
 the Access to Higher Education Diploma
 a BTEC National Certificate, Diploma or Extended Diploma at a good standard and in a relevant subject
 the International Baccalaureate Diploma
 the European Baccalaureate Diploma
 Scottish qualifications – five subjects in SCE with two at Higher level or one at Advanced Higher level, or three subjects in Scottish Highers or two at Advanced Higher level
 a recognised foundation course
 T-levels*.
 * T-levels are a relatively new qualification but are already included in the UCAS tariff. We welcome prospective students who are taking this qualification to apply. For some programmes with specific required subjects, particular subject areas or occupational specialisms may be required.
English language requirements
If English is not your first language then you will need to show that your English language skills are at a high enough level to succeed in your studies.
The entry requirement for your course will be expressed as an IELTS level and refers to the IELTS Academic version of this test. We are now also accepting the IELTS Indicator test, you can find out more about the test on the IELTS Indication site. The University however does accept a wide range of additional English language qualifications, which can be found below.
The university’s English language requirements in IELTS levels are as follows:
Course IELTS level
All other undergraduate courses 6.0 overall with 6.0 in reading and writing, 5.5 in listening and speaking
Law, Architecture, Interior Architecture, English Literature (including combined honours), English Literature and Creative Writing 6.5 overall with 6.0 in reading and writing, 5.5 in listening and speaking
Health and Social Care courses 6.5 or 7.0 overall with 6.5 or 7.0 in all components (see individual entries for course details)
Nutrition BSc (Hons) 6.5 overall with a minimum of 6.0 in each component
Built Environment Foundation,
Computing Foundation,
Engineering Foundation 6.0 with 6.0 in reading and writing, 5.5 in listening and speaking
International Foundation Business and Technology,
International Foundation Arts, Humanities and Law 5.5 overall with 5.5 in all skills
International Foundation Diploma 5.0 overall with 5.0 in all skills
If you need a student visa you must take an IELTS for UKVI test.
International Foundation Diploma (Extended pathway) 4.5 overall with 4.5 in all skills
If you need a student visa you must take an IELTS for UKVI test.
Assessment
ASSESSMENT METHODS
1. INTERNAL ENGLISH TEST if you don't have an English accredited certificate
2. Academic Interview
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.
Assessment
Our assessment methods include:
 individual work
 group assignments
 presentations
 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.
Career Opportunities
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.
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