• Undergraduate

Mathematics and Statistics BSc (Hons)

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Overview

Overview

Why study at the University of West London?
  • Ranked 30th university in the UK - The Guardian University Guide 2025
  • Number 1 London university for overall student satisfaction - National Student Survey 2024**
  • Best university for Student Experience and Teaching Quality in the UK - The Times and Sunday Times Good University Guide 2024

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

On the mathematics and statistics 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.

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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.
With Foundation Year
Duration: 4 years

Start date:

If your desired start date is not available, try selecting a different study option.

Why study Mathematics and Statistics with us?

Why study Mathematics and Statistics with us?

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What our students say…

The lecturers are fantastic and I don't think I would get as many work experience opportunities at any other university.

Harry Poulter
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Industry focused teaching
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Course detail & modules

Course detail & modules

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 degree.

Throughout this mathematics degree, you will acquire a broad understanding of mathematics and its 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).

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.

Compulsory modules

  • 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.

Compulsory modules

  • 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

  • Project

    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.

Entry requirements

Entry requirements

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.

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.
6.0 IELTS or above

You need to meet our English language requirement - a minimum of IELTS 5.5 for each of the 4 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.

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.

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.
Fees & funding

Fees & funding

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Please note:

  • Fees for the 2026/27 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 for two years or more, you will need to pay the fee for each academic year at the start of that year.
  • If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront.
  • 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. In recent years, hundreds of students have received our Full-time Undergraduate Student Bursary.

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

View full details, including conditions and eligibility.

Funding your studies
{{ formatCurrencyValue(currentVariantData.field_p_cv_int_main_fee.name) }} per year*

Please note:

  • Fees for the 2026/27 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 for two years or more, you will need to pay the fee for each academic year at the start of that year.
  • If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront.
  • If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.

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
Teaching staff

Teaching staff

Dr Anastasia Sofroniou

Professor Anastasia Sofroniou

Anastasia Sofroniou is a Professor of Mathematics and Course Leader for the BSc (Hons) and MSc Mathematics and Statistics. She received her BSc Mathematics with Economics from University College London, an Interdisciplinary MSc in Mathematics from Kings College London and Imperial College London, a certificate course in Data Analysis for Management from 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, the Lighthill Scholarship Award in Mathematics. Her research interests lie within the field of Nonlinear Dynamics and Chaos and more recently she has been active in Educational Mathematics.

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.

Anastasia Sofroniou is a Professor of Mathematics and Course Leader for the BSc (Hons) and MSc Mathematics and Statistics. She received her BSc Mathematics with Economics from University College London, an Interdisciplinary MSc in Mathematics from Kings College London and Imperial College London, a certificate course in Data Analysis for Management from 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, the Lighthill Scholarship Award in Mathematics. Her research interests lie within the field of Nonlinear Dynamics and Chaos and more recently she has been active in Educational Mathematics.

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.

Study & career progression

Study & career progression

A group of professionals looking at notes during a meeting

There is 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:

  • 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).

Mathematics 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.

How to apply

How to apply

Search for courses

Important notes for applicants

Disclaimer

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

**The National Student Survey 2023 and 2024 - Average of answers to all questions by registered student population. Excludes specialist institutions.

Testimonials - our students or former students provided all of our testimonials - often a student from the course but sometimes another student. For example, the testimonial often comes from another UWL student when 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. In some cases a new Course Leader has joined the University since the video was filmed.

Availability of placements - if you choose a course with placement/internship route we would like to advise you that if 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, this is to ensure you are still successful in being awarded a degree.