Mathematics BSc (Hons) with foundation year

Undergraduate

Three students standing in front of a poster.

Build your analytical thinking and problem-solving skills by studying both pure and applied mathematics, and the chance to apply your knowledge to challenges and projects the world faces.

Course option

Degree with foundation year

Year of entry

2026-27 2027-28

Location

CU Coventry (Coventry) and
Coventry University (Coventry)

Study mode

Full-time
Sandwich

Duration

4 years full-time
5 years sandwich

UCAS codes

GTDF

Start date

September 2027
November 2027
January 2028
March 2028
May 2028
July 2028

How to apply

Book an Open Day

Download a prospectus

Your UCAS Guide

Course overview

If you're curious about how things work, enjoy logical reasoning or love solving problems, studying pure and applied mathematics could be a great fit. You’ll examine real-world applications, strengthen your critical thinking, analytical and computational skills, and develop knowledge that could support your development in areas such as science, finance, data analytics or technology.

Key highlights

Core and applied maths: learn to use algebra, calculus and computational tools like Python, MATLAB and R to solve real-world problems.
Pure mathematics: develop your understanding of abstract theory, proofs and logical reasoning to understand how to apply mathematical methods, why those methods work and how they fit into the broader logical framework of mathematics.
Career-focused skills: apply your knowledge through problem-solving activities and the use of industry-relevant tools. You may also have the opportunity to undertake a placement² or work on projects that reflect real-world scenarios.

Rated Gold Overall

Teaching Excellence Framework (TEF) 2023

5 QS Stars for Teaching and Facilities

QS Stars University Ratings

Top 5 Student City in England (Coventry)

QS Best Student Cities Index 2026

Why you should study this course

Tailored learning: in your final year, you'll have the opportunity to choose from a range of optional modules, allowing you to shape your studies around your interests and develop expertise in areas that matter to you.
Contemporary tools: you'll use mathematical software, AI tools and programming languages to explore and apply mathematical concepts to prepare you for a future where mathematics and computing increasingly intersect.
Teaching expertise: you’ll be taught by academics who are active researchers in applied mathematics, including areas such as fluid dynamics and complex systems. Their research informs their teaching and project supervision (staff subject to change).
Independant research project: undertake an individual research project, allowing you to get a deeper understanding of applied or pure mathematics under the guidance of an academic supervisor.
Career-ready skills: graduate with the mathematical, problem solving and computational skills, which could help you prepare for roles in a wide range of sectors including finance, technology, research and data analysis.

What you'll study

The course has three key themes.

Core Mathematics forms the foundation of essential techniques.
Applied Mathematics demonstrates how these techniques can be used to solve real-world problems.
Pure Mathematics reveals the conceptual underpinnings that both unify the subject and allow for future innovation.

A strong computational element supports analytical methods, enhancing problem-solving through technology and programming.

Modules

Algebra and Applications - 30 credits

This module introduces you to fundamental algebraic concepts (sets, functions, basic group theory, linear systems, introductory eigenvalue/eigenvector theory and vector spaces). It should help you develop your computational skills in solving and interpreting linear equations. It aims to provide you with the essential building blocks in algebraic thinking, forming a foundation for more advanced topics in subsequent years.

Compulsory

Statistics and Data Science – 30 credits

This module introduces you to key statistics and data science techniques. In this module you will consider data summaries, exploratory data analysis, data visualisation, probability concepts, estimation and hypothesis testing. Explore the predictive analytics methods of regression and correlation and gain hands-on experience using modern software tools to analyse real datasets.

This module includes content on probability and statistics, data wrangling and data visualisation and the practical applications of software tools such as R, Python, MATLAB and Excel.

Compulsory

Calculus and Applications - 30 credits

This module introduces you to single-variable calculus, covering limits, continuity, derivatives and integrals which should create a solid base for later study. Learn about ordinary differential equations, sequences and series. This module includes topics such as foundations of calculus and sequences, differential calculus, integral calculus, complex numbers, an introduction to ordinary differential equations and power series. It also focuses on real-world uses such as optimisation and rates of change, while building your problem-solving skills to prepare you for year two.

Compulsory

Mathematical Modelling – 30 credits

This module aims to provide you with a foundational understanding of how mathematics can be applied to real-world problems. The primary goal is to equip you with the ability to translate practical scenarios into mathematical frameworks, fostering critical thinking and problem-solving skills. It will also introduce you to fundamental programming skills, specifically tailored for mathematical and data science applications. Learn to implement simple numerical methods and data analysis techniques using a suitable programming language, enabling you to simulate and analyse simple mathematical models. This module introduces you to modelling and programming fundamentals, as well as optimisation and modelling with differential equations. It includes content on linear and non-linear models and data visualisation, curve fitting, model validation and error analysis.

Compulsory

Modules

Data Modelling and Machine Learning - 30 credits

Learn the fundamental concepts, models and applications of multiple regression, analysis of variance (ANOVA) and machine learning. These techniques will be explored and applied to a variety of real datasets. Hypothesis testing and estimation will be extended within a statistical data modelling framework.

The methods taught in this module are extensively used in industry, commerce, government, research and development. Module content will address wider social, ethical and professional issues of applying, evaluating and interpreting statistical and machine learning models. Develop key practical skills with appropriate software tools.

Compulsory

Advanced Calculus and Complex Analysis – 30 credits

Extend your understanding of single-variable calculus into multivariable domains, exploring partial differentiation and multiple integrals. You will be introduced to vector calculus concepts (for example, gradient, divergence, curl) and apply these to geometric/physical problems. Develop knowledge of complex analysis, focusing on analytic functions, contour integrals and basic residue theory. These advanced calculus methods will be linked to real-world or theoretical scenarios to reinforce your computational and problem-solving skills.

Compulsory

Differential Equations and Applications – 30 credits

Examine broader solution techniques (transform methods, series methods) for both linear and selected nonlinear equations. You will be introduced to Fourier-type expansions and Sturm–Liouville theory for solving boundary-value problems in ordinary differential equations.

Study systems of ordinary differential equations (ODEs), both linear and nonlinear, with a focus on stability and qualitative behaviour. This includes working with simple classifications and elementary solution strategies for partial differential equations (PDEs: wave, heat, Laplace). To reinforce modelling skills, real-world applications and computational approaches will be discussed.

Compulsory

Further Algebra – 30 credits

Delve deeper into abstract algebra and build on your linear algebra knowledge with advanced topics like the Jordan normal form. Learn key results like Lagrange’s theorem and Sylow’s theorem, plus important ideas such as quotient groups, isomorphism theorems, direct products and group actions.

Explore rings, including encounter ideals, quotient rings and homomorphisms. Finally, by considering the ring of polynomials over a field, you will see how to construct finite fields.

Topics include advanced group theory, rings and polynomials, constructing finite fields and advanced linear algebra.

Compulsory

A placement year² provides optional first-hand industry experience and helps you discover where your skills and interests truly lie. Taken between your second and final years, it allows you to step into a professional environment, apply your learning and gain valuable insight into your chosen sector.

By spending an extended period in industry, you should develop confidence, build professional networks and strengthen the transferable skills that employers value most. This experience offers a powerful way to explore career paths and return to your final year with real -world expertise and a clearer sense of direction.

Key opportunities

Complete an approved work placement: gain practical experience aligned with your course and career ambitions, typically lasting at least 26 weeks.
Reflect on professional development: recognise and document the specific skills, knowledge and experience you gain during your time in industry.
Broaden your global perspective: optionally undertake an international work or study placement to experience a different professional or cultural context.

While this optional year is non-credit-bearing, successful completion ensures your experience is formally recognised on your final degree certificate to showcase your expertise to future employers.

Students sponsored by the University who opt for an international work placement must ensure they comply with the UKVI immigration regulations and should contact us for further guidance.

Modules

Optimisation and AI - 30 credits

Get an understanding of optimisation techniques and how they are used in artificial intelligence (AI) and machine learning (ML). Explore the maths behind solving different types of optimisation problems, both with and without constraints and with discrete or continuous variables. This module will explore a variety of optimisation techniques in AI and ML, including gradient descent, batch gradient descent, stochastic gradient descent, Mini-batch gradient descent and Adam. You will investigate advanced topics in optimisation, including second-order, convex, non-convex and constrained, and unconstrained optimisation techniques. You will also get hands-on experience using optimisation methods to train machine learning models and neural networks. These problems outlined in this module are found in areas such as operations research, finance and the sciences, so the skills you develop could be useful in a variety of careers.

Compulsory

Cryptography and Information Theory – 30 credits

This module integrates higher-level algebraic and number-theoretic concepts (modular arithmetic, finite fields) into the study of cryptography and basic information theory. Learn how abstract algebra underpins classical and modern cryptographic protocols, as well as the fundamentals of encoding/decoding information.

Compulsory

Mathematics and Data Science Project (Single) - 30 credits

The individual project module provides you with an opportunity to apply and integrate knowledge and skills acquired throughout your degree programme in a substantial individual piece of work. The module aims to develop your ability to solve real-world problems, engage in independent research, enhance your professional skills and demonstrate technical proficiency in your chosen subject area. This module should help you develop your project planning and time management skills. It will also test your ability to collect, analyse and validate data as well as your research methodology and literature review technique.

Compulsory

Choose one from the following two modules:

Advanced Topics in Statistics – 30 credits

This module introduces you to advanced topics in statistics and data science. Using relevant software, learn how to critically examine data and choose and apply appropriate analyses using a range of methods. The material will be set within a range of different contexts taken from industry, medicine, agriculture and engineering. This module will be particularly useful if you are interested in postgraduate study in statistics, or a career in statistics or data science.

Financial Maths – 30 credits
Get introduced to the core ideas of modern finance like no-arbitrage and risk-neutral valuation and explore the math behind them. Learn key models for fixed-income products, derivatives and portfolios using tools like stochastic processes and partial differential equations. Study key concepts, including the fundamental theorem of asset pricing, Markowitz portfolio theory and the capital asset pricing model (CAPM). Gain both theoretical knowledge and computational skills to tackle real-world financial problems and advanced mathematical finance techniques. Topics include no-arbitrage principles, fixed-income instruments, portfolio optimisation, equities and options, stochastic processes and exotic derivatives with hedging strategies.

Availability of optional modules may vary depending on student demand.

Optional

This year introduces you to your chosen subject while building essential skills.

Explore everything from pure and applied mathematics to software, databases and data visualisation, giving you a solid understanding of the subject before you progress.
Perfect the research and writing styles you’ll need to ace your degree-level assignments.
Learn core principles so you feel completely prepared when you start Year 1 of your degree.

On successful completion of this foundation year, you will be able to progress to year 1 of the degree.

Modules

Fundamental Pure Mathematics – 30 credits

Learn the fundamental mathematical knowledge and skills you need to solve problems relevant to your discipline, while fostering analytical and problem-solving abilities. You will learn to apply mathematical techniques to real-world scenarios to help enhance your practical understanding. Key topics include fundamental algebraic properties, trigonometry, and calculation of areas and volumes of basic shapes. You will also get an introduction to calculus, covering limits, derivatives and integrals. By the end of this module, you should be familiar with a range of mathematical methods required to address everyday challenges in related fields.

Compulsory

Fundamental Applied Mathematics – 30 credits

Develop the fundamental mathematical knowledge and skills you need to solve relevant problems while developing analytical and problem-solving skills. Learn to turn real-world problems into mathematical problems and present mathematical and logical arguments. Concepts covered include computation of areas and volumes of basic shapes, complex numbers, application of matrices and determinants, application of vectors, application of differentiation and integration and use of computer software to solve scientific problems. By the end of this module, you should have an awareness of many of the mathematical techniques required to tackle everyday problems in related disciplines.

Compulsory

Software and Databases – 30 credits

This module is designed to give you a firm understanding of fundamental programming knowledge and data storage concepts. Gain practical experience with interconnected software systems and master the essentials of databases and an introductory programming language, such as Python. Throughout the module, you will create and comment on a functional application while building your professional skills in requirements elicitation, documentation, and software and database design.

Compulsory

Data Visualisation – 30 credits

Learn key concepts and techniques in data visualisation and understand its role as a vital instrument across many disciplines. This module teaches you to represent data graphically in an easily understood format, helping you make informed, data-driven decisions.

You will use a range of data visualisation tools and technologies to communicate information both efficiently and effectively⁴. By the end of the module, you should have the knowledge and skills required to implement data visualisation processes on a given dataset to identify trends, outliers and patterns.

Compulsory

We regularly review our course content to keep it relevant and current for our students. Consequently, we may update modules to reflect the latest industry standards.

How you'll learn

Forget stressful end-of-year exams. We focus on applied learning using a mix of lectures, tutorials and online study to get you ready for the real world. Instead of one big test, we assess your progress through coursework and phase tests. This better reflects the way you’ll likely work in your future career.

Teaching contact hours

As a full-time undergraduate student, you will study modules totalling 120 credits each academic year. A typical 30-credit module requires 300 hours of study. Study hours are made up of teaching contact hours and guided and independent study.

Teaching hours

Teaching hours may vary, depending on where you are in your studies, but on average, you will have between 10 and 12 teaching and learning hours each week. You will also have the option to attend additional sessions, including time with a progress coach or to meet with staff for advice and feedback. As you progress through your studies, teaching hours may reduce.

Guided and independent study

Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You will be digging deeper into topics, reviewing what you’ve learnt and completing assignments. This can be completed around your personal commitments. As you progress to the end of your studies, you’ll spend more time on independent learning.

Online learning

As an innovative university, we use different teaching methods, including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.

Assessment

The foundation year will be assessed using a variety of methods which will vary depending upon the module and may include:

essays
phase tests
group work
presentations
reports
projects
coursework
individual assignments.

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

Learning will be facilitated through a variety of methods which may include lectures, seminars, lab, workshops, online activities and group work.

Students are expected to engage in both class and online activities and discussions. This course also requires students to participate in additional guided reading and self-directed study to reinforce the learning gained from timetabled sessions.

Formative feedback will be used to prepare students for summative assessment and give students an early indication of their progress towards the module's intended learning outcomes. A portion of this module’s contact time will be dedicated to course support sessions. The course support sessions are timetabled sessions where students can explore areas of the course which they find challenging or get support with personal projects and employability efforts (subject to availability).

Teaching contact hours

Teaching hours

Teaching hours may vary, depending on where you are in your studies, but on average, you will have between 12 and 15 teaching and learning hours each week. You will also have the option to attend additional sessions, including time with a progress coach or to meet with staff for advice and feedback. As you progress through your studies, teaching hours may reduce.

Guided and independent study

Online learning

As an innovative university, we use different teaching methods, including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.

Assessment

This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods may include:

formal examinations
phase tests
essays
group work
presentations
reports
projects
coursework
individual assignments.

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

International experience opportunities

If you have a desire to gain international experience, there are opportunities² to spend a year studying abroad. In the past, students have chosen to study Mathematics in St Marcus University in California, University of Malta, Stockholm University in Sweden, also universities in the Netherlands, Germany and Australia. Courses in all these Universities have been delivered in English.

The opportunity for a sandwich placement means we aim to support you in finding an internship and in seeking ways to finance that experience. Past students have gone to work in countries such as Malaysia, Belgium, and Spain.

Please note that all international experience opportunities may be subject to additional costs, competitive application, availability, and meeting applicable visa and travel requirements, and are therefore not guaranteed².

Entry requirements

Typical entry requirements:

64 UCAS tariff points. All foundation courses require GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards, and at least one A2 level or a BTEC equivalent qualification. For T levels: overall grade of Pass (D or E on the Core) in the T level qualification in any subject.

Other qualifications and experience

Our students come from a variety of backgrounds, each with a unique story. We recognise a breadth of qualifications. If your qualifications differ from the above, contact our Admissions Team who will be happy to discuss your qualifications and routes into your chosen course.

Contextual/Fair Access Offers

If you meet the criteria for our Fair Access Offer, you could automatically receive a contextual offer which is 16 UCAS points lower than our standard entry requirements. View the criteria for our Fair Access Offer.

Got higher grades? Have you considered direct entry to the degree without foundation year?

Fees and funding

Foundation year

Student	Full-time	Part-time
UK, Ireland*, Channel Islands or Isle of Man	2027/28 fees TBC 2026/27 fees: £9,790	Not available
International/EU	Not currently available***	Not available

Degree

Student	Full-time	Part-time
UK, Ireland*, Channel Islands or Isle of Man	2027/28 fees TBC 2026/27 fees: £9,790 per year	Not available
International/EU	Not currently available***	Not available

If you choose to study this course with a professional placement² or study abroad year, you will need to pay a tuition fee³ to cover your academic support throughout your placement year. Students commencing their professional placement in the academic year 2028/29 will pay £1,575 if they are paying UK fees, or £1,900 if they are paying international fees.

For advice and guidance on tuition fees and student loans visit our Undergraduate Finance page and see The University’s Tuition Fee and Refund Terms and Conditions.

The University will charge the tuition fees that are stated in the table above for the first Academic Year of study. The University will review tuition fees each year. For UK (home) students, if Parliament permits an increase in tuition fees, the university may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with the Retail Price Index (RPI), a UK measure of inflation that tracks changes in the cost of living.

If you choose to study this course with a professional placement or study abroad year, the University will charge the tuition fees stated above for those on a placement during Academic Year 2028/29. The University will review professional placement tuition fees each year. For UK (home) students, the University may increase fees for each subsequent year of study, but such that it will be no more than 5% above RPI.

For international students, we may increase fees each year, but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (e.g. to repeat a year or resit examinations) you may be charged the tuition fees in force at the time you take that additional period of study, and/or in line with any legislative changes that apply at that time.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them. Find out what's included in your tuition costs.

Applies to degree only

The following are additional costs not included in the tuition fees:

Any optional overseas ﬁeld trips or visits: £400+ per trip.
Any costs associated with securing, attending or completing a placement (whether in the UK or abroad) which may include costs of travel, accommodation, equipment or uniform required for the placement and any visa-related costs.

Foundation year funding

To secure funding for a degree with a foundation year, you must complete the full four-year programme. If you do not finish the entire course, including the integrated foundation year, you may have to pay the foundation year fees yourself. For further information, please refer to the 'Tuition Fee Loan' details in the 'Funding your undergraduate course' section of our 'Fees and finance' page.

*Irish student fees

The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.

**This degree with foundation year is not currently available to international students who require a student visa to study in the UK.

How do you know if you need to pay UK or international tuition fees?

We assess your fee status using the information in your application. This status determines your tuition fees and the scholarships or financial support you can get. The Department for Education sets the rules for who pays UK (home) or international (overseas) fees in England.

The regulations list which students can pay the home fee rate. Because these rules are complex, the UK Council for International Student Affairs (UKCISA) provides fee status guidance to help you find the right category. If you meet all the criteria for one category, your institution must charge you the home rate.

Facilities

You’ll spend your foundation year at our CU Coventry Mile Lane building, just a short walk from Coventry city centre. You can still make the most of all the facilities at the main Coventry University campus whenever you like.

Once you successfully complete your foundation year, you’ll move over to the Coventry University campus to study your degree.

Facilities are subject to availability⁴. Access to some facilities (including some teaching and learning spaces) may vary from those advertised and/or may have reduced availability or restrictions where the university is following public authority guidance, decisions or orders.

The School of Computing, Mathematics and Data Science is based in the Engineering and Computing Building, and the attached Beatrice Shilling Building. Both buildings are high-specification learning environments that benefit from extensive social learning facilities, well-appointed laboratories, lecturing facilities and classrooms, facilitating our innovative teaching methods across a diverse suite of undergraduate and postgraduate courses.

Digital Literacy Centre

The Digital Literacy Centre provides a range of help and support for digital, programming, and IT skills. From programming to email etiquette, from Word and Excel to enhancing your Google-Fu, the DLC provides a range of online and in person help and support. Students can make use of drop-in sessions or book one-to-one appointments online and face to face.

sigma Centre

The sigma Centre is a mathematics support centre, which provides a wide range of learning resources in mathematics and statistics. Students can make use of drop-in sessions or one-to-one appointments (subject to availability).

Mathematics laboratory

Set out like a traditional classroom with a large whiteboard at the front and a social space for brainstorming at the back, it is the only teaching room in the Frank Whittle Building laid out in this way, designed to suit the teaching style required for this subject.

Careers and opportunities

Studying maths develops skills in logical thinking and strategic knowledge, demonstrating to employers your advanced numerical and analytical ability, both of which are rare and in demand on the graduate job market.

A mathematics degree opens a range of career opportunities in industry, accountancy, banking, computer analysis, marketing, industrial design, management, and scientific research. You could be employed in a variety of roles, for example, as an actuarial analyst, actuary, forensic accountant, operational researcher, research scientist, teacher, statistician, or stockbroker.

Where our graduates work

Previous students have worked as:

Financial Analysts at IBM
Gaming Financial Analysts for Warner Bros
Finance Assistants at Scottish Power
Business Performance Process Analysts at National Grid
Power Analysts at E.ON
Customer Service Analysts for Cummins.

Others have also used their qualifications to progress into teaching careers, as well as postgraduate study to obtain MSc, MPhil, and PhD qualifications.

The graduate destinations listed above illustrate potential career paths. You may need to gain additional qualifications or practical experience, pass professional examinations, complete training, cover associated costs and meet specific visa or immigration requirements to secure employment in these fields.

Further study

You may decide to pursue postgraduate study opportunities by studying courses such as Data Science MSc. You may be entitled to an alumni discount on your fees if you decide to extend your time with us by progressing from undergraduate to postgraduate study.

Two students sat at a desk working on a laptop

Discover Phoenix+

Phoenix+ brings you together with other students to learn, experience and develop essential knowledge and skills. Whatever destination you choose, it's about preparing you for life after university.

Learn more about Phoenix+

How to apply

BSc (Hons) with foundation year

Apply via UCAS

C85

Institution code

View our courses on UCAS

Visit UCAS

This course with foundation year is not available to international students.

UK students

UCAS applications will open for this course from May 2026. Read our application pages to find out your next steps to apply.

How to apply

Apply via UCAS

If you'd like further support or more information about your course get in touch with us today.

+44 (0)24 7765 6565

ukadmissions@coventry.ac.uk

Complete our contact form

Disclaimers

Study location

The Foundation Year study route will be delivered by CU, part of the Coventry University Group, for and on behalf of Coventry University.

If you choose to study at CU Coventry for your Foundation Year, then your learning will be based at CU Coventry, Mile Lane, Coventry. Subject to meeting progression requirements you will then transition to the relevant Coventry University subject building for your progression degree.

Coventry University, Coventry University London, Coventry University Wrocław, CU Coventry, CU London, CU Scarborough, and Coventry University Online come together to form part of the Coventry University Group (the University) with all degrees awarded by Coventry University.

¹Accreditations, partnerships and memberships

Some of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply. See the relevant body website for more details). Accreditations, partnerships, exemptions and memberships are subject to successful renewal in accordance with the relevant bodies’ standard review process and subject to the University maintaining the same high standards of course delivery. If the accreditation, recognition or membership of this course changes, we will notify applicants and students as soon as possible.

²UK and international opportunities

Please note that we are unable to guarantee any UK or international opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be unpaid and/or subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel, public authority guidance, decisions or orders and visa requirements. Before seeking an overseas placement, read our visa advice page.

³Tuition fees

The University will charge the tuition fees that are stated in the above table for the first academic year of study. The University will review tuition fees each year.

For UK (home) students, if the Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.

For international students, we may increase fees annually but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (for example to repeat a year or resit examinations) you may be charged the tuition fees in force at the time you take that additional period of study, and/or in line with any legislative changes that apply at that time.

⁴Facilities

Facilities are subject to availability. Access to some facilities (including some teaching and learning spaces) may vary from those advertised. Availability and access may be reduced or restricted when the University is following public authority guidance, decisions or orders or internal health and safety requirements.

Student Contract

By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the University. A copy of the current 2025/26 contract is available for information purposes only. The 2027/28 contract will apply to the 2027/28 intakes and may differ from the current version. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the University will owe to you. You should read the applicable Student Contract carefully before you accept an offer of a place and before you enrol at the University.

Your next steps

Student life

Accommodation

Fees and funding

Mathematics BSc (Hons) with foundation year

Course features

Course option

Year of entry

Location

Study mode

Duration

UCAS codes

Start date

Course overview

Rated Gold Overall

5 QS Stars for Teaching and Facilities

Top 5 Student City in England (Coventry)

Why you should study this course

What you'll study

Modules

Modules

Modules

Modules

How you'll learn

Teaching contact hours

Teaching hours

Guided and independent study

Online learning

Assessment

Teaching contact hours

Teaching hours

Guided and independent study

Online learning

Assessment

International experience opportunities

Entry requirements

Other qualifications and experience

Contextual/Fair Access Offers

Fees and funding

Foundation year

Degree

Foundation year funding

*Irish student fees

**This degree with foundation year is not currently available to international students who require a student visa to study in the UK.

Facilities

Digital Literacy Centre

sigma Centre

Mathematics laboratory

Careers and opportunities

Where our graduates work

Further study

Discover Phoenix+

How to apply

You may also like

Browse Maths, Data and Physics courses

Your next steps

Discover Uni stats