Mathematics

The Mathematics undergraduate program at Brunel University London offers students a comprehensive and rigorous education in pure and applied mathematics, designed to develop strong analytical, problem-solving, and critical thinking skills. The curriculum is structured to provide a solid foundation in core mathematical concepts, including algebra, calculus, discrete mathematics, and statistics, along with specialized modules in areas such as mathematical modelling, numerical analysis, and data analysis. Throughout the course, students have the opportunity to engage in practical experiences, including project work, laboratory sessions, and collaborative research, enabling them to apply theoretical knowledge to real-world problems. The program emphasizes not only theoretical understanding but also the development of computational skills, preparing graduates for diverse careers in finance, engineering, information technology, education, and research. Brunel's vibrant academic community and state-of-the-art facilities create an ideal environment for learning and innovation. Students benefit from excellent teaching, extensive support services, and opportunities for industrial placements, internships, and study abroad programs, which enhance employability and professional development. The program is designed to be flexible, allowing students to tailor their studies through elective modules and specialization options that align with their interests and career aspirations. Graduates from Brunel University's Mathematics program are well-equipped to pursue postgraduate study or to enter the workforce in sectors that demand high-level quantitative and analytical abilities. With a strong emphasis on contemporary mathematical techniques and their applications, this program prepares students to meet the evolving demands of a data-driven world.

Detailed Course Facts

• GBP 9000 Year (EEA)
• GBP 14250 Year (Non-EEA)

• English

Course Content

Typical modules

Level 1

• Linear Algebra
• Calculus and Numerical Methods
• Mathematical Modelling
• Computing Projects and Mechanics
• Discrete Mathematics, Probability and Statistics

Level 2

• Linear and Numerical Methods
• Vector Calculus and Applications
• Communication Skills and Operational Research
• Statistics
• Algebra and Discrete Mathematics
• Analysis

Level 3

• Major Project (core – see below for more)
• Statistics
• Numerical methods for partial differential equations
• Complex Variable Methods and Applications
• Risk and Optimisation in Finance
• Differential and Integral Equations
• Encryption and Data Compression
• Stochastic models and mathematical finance

Final year project

This is a very valuable feature of the Mathematics BSc course – a substantial piece of individual, course-related work personally supervised by a staff member. Projects are often connected to staff research areas and may also be in response to industry demands.

Work on the project accounts for about one-third of your final year study load. Explore in-depth a topic of particular interest to you or work on a practical problem – the choice is yours.

Although students who undertake a work placement year can choose to focus their final year project on their work experience, they may also select from the projects offered each year by the Mathematics staff. During 2010-2011 over 150 project titles were available to final year Mathematics undergraduates. These covered a very wide range of mathematical areas and applications including, for example:

• The very famous ’travelling salesman problem’ (also known as ’the lazy waiter’!)
• The discovery and identification of clustering behaviour in financial markets
• The Mathematics of complex networks such as the web, or even Facebook
• Applications of statistics to the premier league, police complaints data and global warming
• Investigating traffic flow (are traffic lights better than roundabouts?)

In addition to all of these topic areas, our students also have opportunities to study modern theories in quantitative finance, with particular emphasis on the Mathematics and computation underlying the powerful and influential financial derivatives (eg options) industry. Often termed the ‘Black-Scholes theory’, this is famous for winning its discoverers a Nobel prize, as well as for its misapplication often being blamed (rightly or wrongly) for the current worldwide financial crisis.

Most of our projects can be carried out in ways that suit the student's strengths and interests. For example, it is often possible to choose to emphasise concrete applications or abstract theory, and the project can be carried out using theoretical tools only, or computational tools only, or a mixture of both.

MMath fourth year Master’s option

Study for a further year (at Level 4) and bring your BSc degree up to Master’s standard. The MMath programme offers a highly integrated, logical progression from BSc to Master’s level.

Complete the course and develop a career requiring a higher level of mathematical skill and understanding – such as in finance, commerce or industry, or in postgraduate research.

Level 4 modules include:

• Advanced Project
• Variational methods for partial differential equations
• Advanced mathematical finance
• Fluid Mechanics and Waves
• Mathematical Statistics
• Advanced Topics in Combinatorics
• Advanced Topics in Analysis

English Language Requirements

IELTS band : 6 CAE score : 60(Grade C)

To study at this university, you have to speak English. We advice you to

Requirements

• GCE A-level ABB, including grade A in Mathematics or Further Mathematics.
• BTEC Level 3 Extended Diploma D*DD plus A-level Mathematics at Grade A.
• BTEC Level 3 Diploma DD in a related subject with an A-level Maths at grade A.
• BTEC Level 3 Subsidiary Diploma D in a related subject with A-levels grade AB including an A grade in Maths.
• International Baccalaureate Diploma 33 points, including 6 points in Higher Mathematics.
• Access to Higher EducationDiploma Complete and pass relevant Access course with 45 credits at Level 3, of which 30 credits must be at Distinction and 15 credits at Merit or higher. Must have 15 Maths level 3 Maths units at Distinction. Applicants must also have an A-level in Maths grade A.

GCSE Mathematics grade C and GCSE English grade C are also required.

Work Experience

No work experience is required.

Related Scholarships*

• Academic Excellence Scholarship

  "The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."

• Access Bursary

  Bursary for UK students all subjects where the variable tuition fee rate is payable.

• Alumni Bursary

  Alumni Bursary for UK Undergraduate students

* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than Brunel University.

The Bachelor of Science (BSc) in Mathematics at Brunel University London is designed to provide students with a comprehensive understanding of mathematical concepts, theories, and applications. The programme aims to develop students' analytical and problem-solving skills, preparing them for a wide range of careers in industries such as finance, data science, education, and research. Throughout the course, students explore core areas such as calculus, algebra, statistics, and discrete mathematics, as well as more advanced topics like mathematical modelling, numerical methods, and mathematical logic. The curriculum balances theoretical foundations with practical applications, ensuring students can translate mathematical knowledge into real-world solutions.

Students benefit from state-of-the-art facilities and resources, including access to modern computer labs equipped with the latest software for mathematical computation and data analysis. The programme also emphasizes the importance of research and independent study, encouraging students to engage in projects and collaborative work that mirror professional practices. Brunel's strong links with industry and academia provide students with opportunities for internships, placements, and networking, enhancing their employability upon graduation.

Additionally, the programme often includes modules on programming and computational techniques, reflecting the increasingly digital nature of the field. Students acquire transferable skills such as critical thinking, quantitative reasoning, and effective communication, which are highly valued across many sectors. The collaborative learning environment fosters a supportive community, where students can interact with faculty experts and peers from diverse backgrounds. The programme typically spans three years in full-time mode, with options for specialist pathways or combined honours study. Graduates from Brunel's Mathematics programme are well-prepared to pursue careers in banking, actuarial science, software development, or to continue their studies through postgraduate research or teaching qualifications.