Find a course

Expand

Mathematics

BSc (Hons)

This course is subject to validation

Key facts


UCAS code

TBC

Start dates

September 2020

Location

Wheatley

Course length

Full time: 3 years, or 4 if a work placement is chosen

Part time: up to 8 years

Department

School of Engineering, Computing and Mathematics

UCAS Tariff Points

112

Overview


Our Mathematics degree gives you a firm theoretical knowledge of mathematics. You will experience real mathematical applications and learn;

  • the fundamental principles of mathematics
  • computational concepts and practices.

You will also gain strong coding skills and learn key skills for the workplace, such as;

  • problem solving
  • team working 
  • communication
  • time management
  • self-motivation. 

Our course is flexible so you can learn according to your own interests and ambitions. You can pick modules on Engineering, Management and even Foreign Languages. If you're interested in Pure Mathematics you can choose modules which give you a sound mathematical background and prepare you for further study or research.

You can 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;

  • banking
  • actuarial science
  • data science.
Mathematics

How to apply


Typical offers

UCAS Tariff Points: 112

A Level: BBC

IB Points: 30

BTEC: DMM

Wherever possible we make our conditional offers using the UCAS Tariff. This combination of A-level grades would be just one way of achieving the UCAS Tariff points for this course.

Required subjects include: Mathematics

IB Diploma: 30 points, to include at least a 5 in Higher Level Mathematics

BTEC and A levels: Your tariff points must incude A level Mathematics grade B

We welcome applications from candidates with alternative qualifications, and from mature students.

Entry requirements

Specific entry requirements

A Level: Grade B minimum in Mathematics

GCSE: Grade 4/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 qualifications and equivalences

Go

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.

Credit transfer

Many of our courses consider applications for entry with credit for prior learning. Each application is individually assessed by our credit entry tutors. 

If you would like more information about whether or not you may be eligible for the award of credit, for example from an HND, partly-completed degree or foundation degree, please contact our Admissions team.

We operate 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.

Application process

Full time Home / EU applicants

Apply through UCAS

Part time Home / EU applicants

Apply direct to the University

International applicants

Apply direct to the University

Full time applicants can also apply through UCAS

Tuition fees


Please see the fees note
Home/EU full time
£9,250

Home/EU part time
£750 per single module

Home/EU sandwich (placement)
£1,380

International full time
£13,410

International sandwich (placement)
£4,000

Home/EU full time
£9,250 (subject to agreement by Office for Students)

Home/EU part time
£1,155 per single module

Home/EU sandwich (placement)
£1,380 (subject to agreement by Office for Students)

International full time
£13,900

International sandwich (placement)
£4,000

Questions about fees?

Contact Student Finance on:

Tuition fees


2019/20
Home/EU full time
£9,250

Home/EU part time
£750 per single module

Home/EU sandwich (placement)
£1,380

International full time
£13,410

International sandwich (placement)
£4,000

2020/21
Home/EU full time
£9,250 (subject to agreement by Office for Students)

Home/EU part time
£1,155 per single module

Home/EU sandwich (placement)
£1,380 (subject to agreement by Office for Students)

International full time
£13,900

International sandwich (placement)
£4,000

Questions about fees?

Contact Student Finance on:
+44 (0)1865 483088

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 below.

Financial support and scholarships

For general sources of financial support, see our Fees and funding pages.

Additional costs

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 below.

If you undertake a placement you may incur additional transport and accommodation costs. In addition, you may be required to complete a DBS check for some placement providers. 

Learning and assessment


In Year 1 you will study;

  • Mathematical Analysis
  • Linear Algebra
  • Statistics.

These modules 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;

  • pure mathematics
  • mathematical methods
  • mathematical modelling (and statistics in the single honours course).

In Year 2 and 3 you will study modules such as;

  • Mathematical Modelling
  • Machine Learning
  • Artificial Intelligence. 

On the single honours course you will mostly focus on mathematics. You will also have the chance to study some statistics.

On our combined honours course, you will complement your mathematics modules with modules from your other field of study.

You will develop your computing abilities through the extensive use of up-to-date mathematical (and, for single honours, statistical) software.

Alt text for my placeholder image

Study modules

Year 1

Compulsory modules

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.

Mathematical 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.

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 demanded programming languages by industry and science.

Year 2

Compulsory modules

Ordinary and Partial Differential Equations (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.

Numerical Analysis (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.

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.

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

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

Year 3 (optional placement year)

Optional modules

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)

Compulsory modules

Final Year Project (double)

An extended study of a topic selected, with appropriate guidance, from any suitable area of the student's course in Mathematics or Statistics.

Advanced Topics in 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.

Optional 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.

Advanced Numerical 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.

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 Study in Mathematics

The aim of this module is to independently develop a guided study on a topic not covered by any of the other modules.

Machine Learning

This module provides coverage of artificial intelligence that provides systems the ability to automatically learn from previous experience data.

Please note: As our courses are reviewed regularly as part of our quality assurance framework, the modules you can choose from may vary from that 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;

  • lectures
  • problem-solving classes
  • group work
  • guided reading 
  • research. 

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. 

  • Lectures and seminars
  • Placement
  • Other learning activities (including group work, research, conferences etc.)

Year 1

  • Lectures and seminars - 23%
  • Placement - 0%
  • Other learning activities (including group work, research, conferences etc.) - 77%

Year 2

  • Lectures and seminars - 23%
  • Placement - 0%
  • Other learning activities (including group work, research, conferences etc.) - 77%

Year 3 (optional placement year)

  • Lectures and seminars - 0%
  • Placement - 100%
  • Other learning activities (including group work, research, conferences etc.) - 0%

Year 4 (or year 3 if no placement)

  • Lectures and seminars - 19%
  • Placement - 0%
  • Other learning activities (including group work, research, conferences etc.) - 81%

Learning and teaching percentages are indicative. There may be slight year-on-year variations.

Assessment

Assessment methods used on this course

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.

  • Written exams
  • Coursework
  • Practical exams

Year 1

  • Written exams - 36%
  • Coursework - 64%
  • Practical exams - 0%

Year 2

  • Written exams - 64%
  • Coursework - 36%
  • Practical exams - 0%

Year 3 (optional placement year)

  • Written exams - 0%
  • Coursework - 0%
  • Practical exams - 100%

Year 4 (or year 3 if no placement)

  • Written exams - 36%
  • Coursework - 64%
  • Practical exams - 0%

Assessment method percentages are indicative. There may be slight year-on-year variations.

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.

After you graduate


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.

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. Many of our graduates also progress to postgraduate study, both MSc and PhD.

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.

As mathematics is a National Curriculum subject, a combined or single honours mathematics degree will equip you to proceed directly to a teaching qualification. There is high demand for mathematics graduates in the teaching profession.

Professional accreditation

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

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


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.