Mathematics and Statistics

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https://www.uwl.ac.uk/course/undergraduate/mathematics-and-statistics?start=1898&option=33

BSc (Hons) Mathematics and Statistics | University of West London

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Undergraduate

BSc (Hons) Mathematics and Statistics

Full-time

September 2027

Fees per year†

£17,250 – International

£10,050 – UK

Duration

Location

Overview

Course details

Our students

Entry and fees

Facilities

Teaching staff

Related courses

How to apply

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The world of work is increasingly reliant on science, technology, engineering and mathematics (STEM) skills. This BSc (Hons) Mathematics and Statistics degree is a trusted and relevant qualification designed to meet employers’ needs for skilled STEM graduates.

On the course, you will learn to use a range of computing and analytical skills to solve scientific, engineering and finance problems. Your studies will combine fundamental mathematical and statistical methods with highly sought-after skills in logic, problem-solving, numeracy and more.

Our BSc Mathematics and Statistics degree is fully accredited by the Institute of Mathematics and its Applications (IMA), and you will graduate with the knowledge and technical ability required for a successful career within a diverse range of sectors, from finance to government.

Why study this course?

2nd London university for overall student satisfaction - National Student Survey 2026*

Ranked top 50 in the UK and 2nd modern** London university - The Guardian University Guide 2027

Top 20 in the UK for teaching quality - The Times and Sunday Times Good University Guide 2027

Ranked 7th university in the UK for student experience - Daily Mail University Guide 2027

Course accreditation

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Select your desired study option, then pick a start date to

see relevant course information:

Study options:

We support flexible study by offering some of our courses part-time or via distance learning. To give you real world experience before you graduate, we also offer some courses with a placement or internship. All available options are listed here. Your choices may affect some details of your course, such as the duration and cost per year. Please re-check the details on this page if you change your selection.

Duration: 3 years

With Foundation Year

Duration: 4 years

Start date:

If your desired start date is not available,

try selecting a different study option.

What you'll study

Professional organisations are keen to hire mathematics graduates to help them analyse problems, formulate questions and find solutions, and there is a multitude of business applications with which to utilise the skills you will develop on this Mathematics and Statistics degree.

Throughout your degree, you will acquire a broad understanding of mathematics and statistics and their applications.

With the support of software to enhance your learning experience, you will learn how to apply mathematical and statistical techniques to tackle realistic problems, evaluate the outcomes and interpret the results to build your own bank of knowledge.

A variety of teaching methods, designed to suit different learning styles, will be used to help you develop, including:

lectures

seminars

tutorials

workshops

peer review and observation

student-led teaching with in-class presentations

the Maths Café, which provides a high level of additional support for all modules.

As you study, you will develop transferable skills that you can use across different STEM roles.

If you are looking for a diverse mathematical statistics course that will prepare you for the changing needs of employers, this course is for you.

Our BSc Mathematics and Statistics degree is fully accredited by the Institute of Mathematics and its Applications (IMA).

Please note, we regularly review our course content to offer relevant, impactful and career-shaping learning. Therefore, the following modules are indicative and subject to change.

Compulsory modules

Linear Algebra

The aim of this module is to extend your knowledge of matrices, vectors and systems of linear equations and to introduce the abstract concepts of vector spaces, linear maps and inner products.

Discrete Mathematics

This module provides you with the basic mathematical concepts and techniques of discrete structures. It includes the study of mathematical logic, sets, relations and functions. The module will develop your skills in expressing problems in mathematical language, using mathematical techniques to find solutions to problems and communicating mathematical ideas clearly and succinctly.

Introduction to Programming

On this module you will learn how to program computers and other devices using a modern programming language.

Module topics include:

algorithm development

fundamentals of computer programming

control structures

input/output

functions

structuring of data

introduction to object-oriented programming.

The module is introductory in nature and assumes no prior programming knowledge. The module includes weekly computing practical.

Probability and Statistics

This module is an introduction to probability theory and statistical methods. The module leads to a deeper understanding of probability distributions, random variables and their role in sampling. Tools such as hypothesis testing are presented and a basic introduction to the statistical software SPSS is provided.

Mathematics and Statistics by Computer

Calculus 1

This module introduces you to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. Tools and techniques for differentiation and integration will be presented in detail.

Real and Complex Analysis

Real analysis deals with numbers along the one dimensional number line, while complex analysis deals with numbers in two dimensions. This module will introduce you to the rigorous development of both real and complex analysis and will help to develop your skills in deductive reasoning.

Calculus 2

The aim of this module is to give you knowledge and techniques for working with vectors and vector fields. You'll extend your understanding of calculus and will be introduced to the concept of multivariable calculus as well as calculus of vectors.

Advanced Engineering Mathematics

On this module, you will extend your knowledge of the fundamental mathematical methods used in engineering. The module includes study of Laplace transforms, Fourier analysis, ordinary differential equations, introduction to partial differential equations and complex variables. In addition, the module will develop your skills in expressing problems in mathematical language, using mathematical techniques to find solutions to problems and communicating mathematical ideas clearly and succinctly.

Numerical Methods

This module aims to introduce you to the numerical techniques required to solve different mathematical problems motivated by the engineering and the science sector.

Financial Mathematics

Statistical Modelling

This module aims to develop understanding and proficiency in statistical modelling by introducing you to the normal theory linear model. It will provide you with the ability to formulate and apply these models in a range of practical settings, to carry out associated inference appreciating how this relates to the general likelihood inferential framework, and to perform appropriate model selection and model checking procedures.

Ordinary and Partial Differential Equations

This module aims to study both the qualitative and quantitative aspects of ordinary and linear partial differential equations.

Dynamical Systems

The module aims to develop an understanding of the elements of non-linear differential equations and dynamical systems. The aim of this module is to expose you to qualitative and quantitative methods for dynamical systems, including nonlinear ordinary differential equations, maps and chaos. The phenomena studied occur in many physical systems of interest.

Stochastic Processes

The module aims to introduce you to stochastic processes and their applications.

Operational Research and Optimisation

The module aims to introduce you to linear programming, the Simplex Method and the Transportation Algorithm. The module will enable you to solve linear programming problems as primal problems or using duality. The module includes an introductory theory for nonlinear programming problems by demonstrating the application of Lagrange Multiplier Theory as well as tackling optimisation problems.

You will investigate a topic of interest and prepare a project proposal. You will then present your ideas to the School for approval and, once this has been approved, you will begin a detailed literature review of your chosen field. You will choose and follow a suitable development methodology leading to an implementation which you will evaluate.

What our students say

2nd London university for student satisfaction - National Student Survey 26*

I picked UWL because the facilities looked amazing and I loved the focus on helping students secure the right career once they graduate.

Damian Pop

Entry requirements

Requirements:

International

120 UCAS points required

from level 3 qualifications

These can include:

A Levels at grade B, B and B, or above

BTEC Extended Diploma with Distinction, Distinction, Merit

Access to HE Diploma

T Levels

Your Level 3 qualifications must include Mathematics or Statistics.

You also need GCSE English and Maths (grade 9-4 / A*-C) or Level 2 equivalents.

Looking for BSc (Hons) Mathematics and Statistics with Foundation Year?

View Foundation Year course

Whether you are changing career or don't have the exact subjects and grades required for this course, you might want to choose this course with a foundation year. This will give you an extra year's study to prepare you for the standard degree programme, where you can go on to graduate with a full Honours degree. Follow the link to see full details of the course with foundation year.

Mature applicants (aged 21+): If you do not hold the qualifications listed but have relevant work experience, you are welcome to apply. Your application will be considered on an individual basis.

Level 5 (year 2) entry

To directly enter the second year of this course, you will need to show appropriate knowledge and experience. For example, you are an ideal candidate if you have 120 undergraduate credits at Level 4 or a CertHE in a related subject area.

Level 6 (year 3) entry

To directly enter the third year of this course, you need to show appropriate knowledge and experience. For example, you are an ideal candidate if you have 240 undergraduate credits (at Levels 4 and 5), a DipHE, foundation degree or HND in a related subject area.

6.0 IELTS or above

You need to meet our English language requirement – a minimum of IELTS 5.5 for each of the four individual components (Reading, Writing, Speaking and Listening). Visit our English language requirements page for information on other English language tests we accept.

You also need academic qualifications at the same level as UK applicants. In some countries where teaching is in English, we may accept local qualifications. Check for local equivalents.

We offer pre-sessional English language courses if you do not meet these requirements.

Find out more about our English Language courses.

Fees & funding

Funding:

per year†

Please note:

Fees for the 2027/28 academic year and onwards may be subject to Government regulation and change.

Tuition fees are charged for each year of your course. If your course runs over 2 academic years or more, you will need to pay the fee for each academic year at the start of that year, except if otherwise stated.

If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.

Funding your studies

You may be eligible for a student loan to cover the cost of tuition fees, or a maintenance loan. Additional funding is available to some types of students, such as those with dependants and disabled students.

We offer generous bursaries and scholarships to make sure your aspirations are your only limit.

Additional scholarships specifically for computing and engineering students may also be on offer.

View full details, including conditions and eligibility.

International students - funding your studies

We offer scholarships for international students including International Ambassador Scholarships.

Further information about funding and financial support for international students is available from the UK Council for International Student Affairs.

Financial support for international students

Computer Science facilities

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Computing labs

Our computing labs offer numerous computers, most of which are equipped with wide-screen monitors. The latest computer room offers 27-inch screens.

UWL Libraries will help you to succeed as you progress through your studies. Find out more information about our libraries.

Study facilities

Discover our specialist teaching and study facilities.

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Your future career

There are a range of potential jobs for Mathematics and Statistics graduates. You could go on to have a successful mathematics career with organisations that deal with a range of fields such as fiscal analysis and prediction, environmental science, engineering and financial modelling.

Mathematics and Statistics graduates with higher degrees in computer science will be able to work with organisations that require advanced modelling skills.

You may also want to progress your studies to explore a related field or specialise on a postgraduate course.

Professional accreditation

Taught by lecturers with industry experience

Contacts with major technology companies

On campus, specialist careers fairs

One-to-one, life-long careers support

Career-focused modules

Alumni networking events

Support with CV and interview skills

Job roles

fiscal analysis and prediction

meteorology

environmental science

engineering

pharmaceuticals

research

market analysis

risk assessment

financial modelling

stock-market trading

education at all levels (with additional qualifications).

Professor Anastasia Sofroniou Course Leader

Anastasia Sofroniou is a Professor of Mathematics and Course Leader for the BSc (Hons) Mathematics and Statistics and past Director for the MSc Mathematics and Statistics. She received her BSc Mathematics with Economics from University College London, an Interdisciplinary MSc in Mathematics from King’s College London and Imperial College London, a certificate course in Data Analysis for Management from the London School of Economics and Political Science, and her PhD in Applied Mathematics from University College London.

During her research studies, she was awarded the Andrew Rosen Prize for research excellence in Applied Mathematics and twice received the Lighthill Scholarship Award in Mathematics. Throughout her academic career, she has received numerous nominations and awards for teaching excellence. Recently, she was a finalist for the WISE Outreach and Engagement Award UK 2025, where she was honoured to have her achievement presented by the Royal Patron, Her Royal Highness The Princess Royal, Princess Anne. Her research interests lie within the field of Nonlinear Dynamics and Chaos, and more recently, she has been active in Educational Mathematics. She serves as an Editor and Assistant Editor for academic journals and has published extensively in her fields of interest.

She is a Principal Fellow of the Higher Education Academy (PFHEA), a Fellow of the Institute of Mathematics and its Applications (FIMA), and a member of the London Mathematical Society and The Mathematical Association, as well as a Councillor for the IMA. She also serves on the Advisory Board for the Educational Workstream of the Academy of the Mathematical Sciences.

She is also the Founder and Chair of WInSTEM, an initiative established in 2022 and dedicated to promoting gender equity in STEM. WInSTEM aims to inspire and motivate young learners, particularly female and non-binary students, to pursue studies and careers in STEM fields, while also promoting collaboration, mentorship, outreach, and international partnerships that support inclusive education and professional development across the STEM disciplines.

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How to apply:

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Head to the UCAS website where you can apply using:

our institution code - W05

the UCAS course code (below)

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directly on our website – follow the ‘Apply now’ link

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Important notes for applicants

Disclaimer

†Fees - the published fee is an annual fee, payable each year, for the duration of the course. Fees are subject to change. Home tuition fees may be subject to annual increases but will not increase by more than the fee caps as prescribed by the Office for Students or such other replacing body. Full-time taught international fees are subject to an annual increase.

Teaching - your course will primarily be delivered in-person, however it may include delivery of some activities online, either in real-time or recorded.

Testimonials - quotes are provided by current or former UWL students. These are mostly from the course but quotes from a UWL student on another course may be used if, for example, the course is new.

Optional modules - where optional modules are offered they will run subject to staff availability and viable student numbers opting to take the module.

Videos - all videos on our course pages were accurate at the time of filming, however staff and course content may have since changed.

Availability of placements - if you choose a course with placement/internship route and a placement/internship opportunity does not arise when you are expected to undertake the placement then the University will automatically transfer you to the non-internship route, to ensure you are still successful in being awarded a degree.

Rankings

*The National Student Survey 2026 result is based on the average of all answers by the taught student populations.

**Modern universities - defined as higher education institutions that were granted university status in, and after, 1992.

***PRES - rank out of 53 institutions.

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