Undergraduate

Mathematics

A maths student sat on a wall outside library
A mathematics student smiling in front of a blackboard with equations
A female mathematics Student sat with an iPad in library
Maths calculations on a whiteboard
Appeal to future employers by tailoring your degree to your own interests, alongside studying core topics. Previous graduates have gone on to work in science and technology, banking and finance, government, and more.
Develop your understanding of both pure and applied mathematics and open up a range of careers with this accredited degree.
We offer a substantial bursary – worth up to £6,300 over three years – to students with good A level results, or equivalent.
This course is accredited by the Institute of Mathematics and its Applications (IMA), which puts you on the pathway towards Chartered Mathematician status.
A maths student sat on a wall outside library
A mathematics student smiling in front of a blackboard with equations
A female mathematics Student sat with an iPad in library
Maths calculations on a whiteboard

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Duration

Mode

  • Standard course
  • With a foundation year

Typical offer

What does this mean?

Explore pure and applied mathematics on this accredited course, and get a grounding in probability, statistics, numerical programming and more.

You’ll work on projects that will challenge your abilities across the field of mathematics and develop skills that are appealing to a number of employers.

Students with good A level results, or equivalent, may be eligible for our Gillian Stead Scholarship – worth up to £6,300 over three years.

  • Joint 1st in the UK

    for Graduate Prospects 1

  • Your first step

    to Chartered Mathematician status

  • Get up to £6,300

    over 3 years for achieving good A level results 2

  • 2nd in the UK

    for Teaching Quality 3

  • 1st in the UK for

    academic support 4

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Course overview
Module options

About this course

We start with a core programme covering the foundations of mathematics and its applications. As the course progresses you can tailor your modules by specialising in areas that interest you.

You'll learn in small groups as part of our close-knit mathematical community under renowned researchers whose specialisms include fluid dynamics, mathematical biology, statistics, data science and industrial applications of mathematics. You’ll also have regular tutorials throughout your degree, where you can raise questions and explore concepts in discussion with your peers. In short, this is a maths degree with a personal feel.

This course is accredited by the Institute of Mathematics and its Applications (IMA), which puts you on the pathway towards Chartered Mathematician status. But you’ll gain the foundation for any career requiring a strong mathematical background, such as in science and technology, banking and finance, data science, government, and more.

This research-informed degree also provides an ideal foundation for progression into further study, such as a Masters or PhD, in mathematics, data science or even an unrelated subject. One way we ensure this is by providing the opportunity to undertake a BSc research project. In your final year, you will explore a mathematical topic of your choice and develop written, presentation and independent research skills. Our BSc students have even had papers published in peer-reviewed journals based on their BSc project work.

Scheduled study hours and how you’re assessed

Throughout your degree, you’re expected to study for 1,200 hours per year. That’s based on 200 hours per 20 credit module. And it includes scheduled hours, time spent on placement and independent study. How this time is divided across the year varies and depends on the module you are studying.

How you'll be assessed depends on the course you study, and the modules you choose. You may be assessed through a mix of examinations, coursework, presentations and group projects.

Choose your modules

Each year, you’ll study modules worth a certain number of credits, and you need 120 credits per year. Most modules are 20 credits – so you’ll study six modules each year. Some longer modules, such as a dissertation, are worth more. In these cases, you’ll study fewer modules - but the number of credits will always add up to 120. Some modules are compulsory, some are optional, so you can build a course that’s right for you.

Preparing for Learning in Higher Education

This module is designed to give you the best possible start to your university studies, making sure you have all the essential skills you need to succeed. Through lectures and workshops we will teach you how to write in an academic style, how to find quality sources, how to reference work, culminating in writing up a mini-research project.

Core•20 credits

Foundation Mathematics A

You will study pure mathematics topics, including proof, algebra, trigonometry, differentiation, integration, exponentials, logarithms, sequences and series. The applied topic is probability and statistics.

Core•20 credits

Foundation Mathematics B

This module extends the knowledge gained in the Foundation Mathematics A - pure mathematics topics. You will also study functions and vectors. The applied topic is mechanics.

Core•20 credits

Introduction to Physics 1

This is the first of two foundation year modules that prepare you for studying physics or mathematics at degree level. You will study the basics of mechanics, properties of matter, electricity and magnetism.

Core•20 credits

Introduction to Physics 2

This is the second of two foundation year modules that prepare you for studying physics or mathematics at degree level. You will study the basics of oscillations, waves, and quantum and nuclear physics.

Core•20 credits

Group Challenge (Sciences)

In a group, you'll formulate questions that can be tested by scientific investigations and take part in weekly workshops with academics.

Compulsory•20 credits
6 Modules

Calculus

You'll study, for a function of a single real variable, the limit processes of differentiation and integration using logic and the language of set theory.

Compulsory•20 credits

Numbers, Sequences and Series

This module introduces the basic number systems used in mathematics and the notion of limits. You'll evaluate limits of sequences and series and determine whether they converge.

Compulsory•20 credits

Linear Algebra

This module delivers essential core mathematics. You’ll explore vectors, matrices, vector spaces, linear equation systems and dimension.

Compulsory•20 credits

Introduction to Programming in Python

In this module, you are introduced to the Python language, commonly used in the technology sector. As part of this course, you will learn fundamental programming concepts such as variable definition, function writing, and Boolean logic. The curriculum extends to practical skills in handling large datasets using the Pandas module and creating striking data visualisations with packages like Seaborn. These skills are then applied to numerical and Fourier analysis, essential tools for a career as a data scientist.

Compulsory•20 credits

Probability and Statistics

Learn how to use basic results from probability theory, such as standard probability distributions - and how to statistically estimate and test hypotheses of model parameters.

Compulsory•20 credits

Modelling, Mechanics and Optimisation

You’ll see how mathematical modelling techniques, in association with stated assumptions or physical laws, can be used to model real-world problems, optimise processes and predict potential outcomes.

Compulsory• credits
6 Modules

Vector Calculus

Study differentiation and integration of scalar-valued and vector-valued functions of several variables. You'll focus on applications to curves and surfaces in three-dimensional space.

Compulsory•20 credits

Differential Equations

Explore solution-generating techniques including Wronskian procedures, Laplace transforms and the method of Frobenius, concluding with the more advanced application of Sturm-Liouville theory.

Compulsory•20 credits

Advanced Mechanical Modelling

Further develop your modelling skills by applying the rules of mechanics. Topics covered include forces and moments, Newton’s Laws of Motion, as well as further dynamics, and how to use these techniques to solve real-world problems. You will have the opportunity to develop your group working, technical writing and communication skills.

Compulsory• credits

Introduction to Mathematical Programming with Python

You'll learn fundamental programming concepts in the Python language such as variable definition, function writing and Boolean logic. This module will help you to develop practical skills in handling large datasets and data visualisation techniques.

Compulsory•20 credits

Functions of a Complex Variable

On this module, you'll study differentiation and integration of a complex-valued function of a complex-valued variable. 

Optional•20 credits

Partial Differential Equations

Study methods for solving first- and second-order partial differential equations, mainly for scalar-valued functions of two or more variables.

Optional•20 credits

Statistical Models

This module investigates nonparametrical tests, such as goodness-of fit and rank tests. You’ll also learn how to use linear regression models and analysis of variance.

Optional•20 credits
7 Modules

Mathematical Project

Under the supervision of your supervisor, you will perform an in-depth examination of a mathematical topic of your choice. There is also the option to undertake an education project with a placement for those interested in pursuing teaching as a career.

Core•40 credits

Differential Geometry

Study curves and surfaces in 3D using vector calculus, linear algebra and analysis. How do you make a map of the world? What is the Möbius strip? How curved is a sphere or a cube?

Optional•20 credits

Computational Applied Statistics

In this age of big data, the ability to analyse large datasets and extract useful information from them becomes increasingly important. This module focuses on several machine learning techniques that can be used for this. You will also learn how to use Python/R for data science applications.

Optional•20 credits

Classical and Quantum Mechanics

Explore the strange quantum world where the behaviour of subatomic particles is described by integrals, complex numbers, and the rules of probability.

Optional•20 credits

Mathematical Biology

Mathematical models can be applied to a wide range of applications in biology. Without assuming any prior biological knowledge, this module describes how mathematics can be used to understand topics that are encountered in biological applications such as population dynamics for a single population, interacting populations and law of mass action. This module emphasises model construction and development.

Optional•20 credits

Fluid Dynamics

In this module, we study fluid-flow problems, which are important to the understanding of both the natural world and real-life engineering problems. Consequently, it is fundamental to the study of our environment pollution and its solution. This allows us an insight into the parameters associated with a more realistic scenario. Finally, fluid dynamics also provides a vital motivation of the importance of vector calculus.

Optional•20 credits

Advanced Numerical Computation

As soon as you look beyond a textbook, you will quickly see that most mathematical problems in fields such as quantum mechanics, fluids dynamics and epidemiology involve complex differential equations that are too difficult to solve without using a computer. In this module, you'll learn via hands on programming how to solve these problems numerically.

Optional•20 credits
7 Modules

This course is accredited by

Playlist

Dr Jie Yang

Course Overview 1 min

Katie Smith

Student story 1 min

Teaching facilities

University Life 1 min

Accommodation at Hull

University Life 2 mins

Entry requirements

What do I need?

When it comes to applying to university, you'll need a certain number of UCAS points. Different qualifications and grades are worth a different amount of points. For this course, you'll need…

Use UCAS's calculator to work out your estimated points

We consider experience and qualifications from the UK and worldwide which may not exactly match the combinations above.

But it's not just about the grades - we'll look at your whole application. We want to know what makes you tick, and about your previous experience, so make sure that you complete your personal statement.

Have questions? Our admissions team will be happy to help.

What do I need?

If you require a student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level.

See other English language proficiency qualifications accepted by the University of Hull.

If your English currently does not reach the University’s required standard for this programme, you may be interested in one of our English language courses.

Visit your country page to find out more about our entry requirements.

Fees & funding

How much is it?

Additional costs you may have to pay

Your tuition fees will cover most costs associated with your programme. There are some extra costs that you might have to pay, or choose to pay, depending on your programme of study and the decisions you make:

  • Books (you can borrow books on your reading lists from the library, but you may buy your own)
  • Optional field trips
  • Study abroad (incl. travel costs, accommodation, visas, immunisation)
  • Placement costs (incl. travel costs and accommodation)
  • Student visas (international students)
  • Laptop (you’ll have access to laptops and computers on campus, but you may want your own)
  • Printing and photocopying
  • Professional-body membership
  • Graduation (gown hire and photography)

Remember, you’ll still need to take into account your living costs. This could include accommodation, travel, food and more.

How do I pay for it?

How much is it?

Additional costs you may have to pay

Your tuition fees will cover most costs associated with your programme. There are some extra costs that you might have to pay, or choose to pay, depending on your programme of study and the decisions you make:

  • Books (you can borrow books on your reading lists from the library, but you may buy your own)
  • Optional field trips
  • Study abroad (incl. travel costs, accommodation, visas, immunisation)
  • Placement costs (incl. travel costs and accommodation)
  • Student visas (international students)
  • Laptop (you’ll have access to laptops and computers on campus, but you may want your own)
  • Printing and photocopying
  • Professional-body membership
  • Graduation (gown hire and photography)

Remember, you’ll still need to take into account your living costs. This could include accommodation, travel, food and more.

How do I pay for it?

Our academics

At Hull, you will be part of a small community of like-minded mathematicians.

The research interests of our staff include fluid dynamics, mathematical biology, mathematical finance, statistics, optimisation and industrial applications of mathematics.

See more academics for this subject
Dr Jie Yang
Featured academic

Dr Jie Yang

Jie joined the University of Hull in 2021 as a Lecturer in Applied Mathematics. She has a PhD in Systems Biology and her principal research interests involve the use of applied mathematics for biological applications.
John Fry
Featured academic

Dr John Fry

John is a senior lecturer in applied mathematics with extensive experience from a number of business schools and mathematics departments in the UK. His research interests include econophysics, mathematical finance, statistics and sports modelling.

Take a look at our facilities

Computer Lab

Thanks to our links with companies like Microsoft, Sony and Electronic Arts (EA), our facilities stay industry standard and relevant, such as our high-spec, dual-screen computer lab.

Superlab

Our Superlab has been fully refurbished as part of a significant investment in high-performance workstations, servers and social spaces.

Python

All of our students have access to powerful industry-standard software such as Python to develop your skills and prepare for your future career.

Brynmor Jones Library

One of the most eye-catching pieces of architecture on campus, our library offers round-the-clock access, more than a million books and over 400 open-access PCs.

See more in our virtual tour
A female student works in a computer lab
A group of students in the SuperLab Computer Suite
Bright lights from a machine light up a computer science lab

Look around

A female student works in a computer lab
A group of students in the SuperLab Computer Suite
Bright lights from a machine light up a computer science lab
Library first floor computers
A female maths student sat in the library

Future prospects

Our career-focused maths degree will help you gain skills that are in high demand with employers and open doors to a career in banking and finance, IT, the Civil Service, HM Revenue and Customs, management, and more.

At the end of the BSc, you could transfer onto our one-year taught mathematics MSc, which lets you access careers that require a postgraduate degree.

University of Hull Open Day

Your next steps

Like what you’ve seen? Then it’s time to apply.

The standard way to apply for this course is through UCAS. This will give you the chance to showcase your skill, qualities and passion for the subject, as well as providing your academic qualifications.

How to apply

Not ready to apply?

Visit our next Open Day, and see all that Hull has to offer for yourself. Talk to our lecturers about your subject, find out what university is really like from our current students, and take a tour of our beautiful campus and amazing facilities.

Book your place now

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1. Mathematics is ranked joint 1st for Graduate Prospects. Complete University Guide 2025.

2. 128 UCAS points (including 48 points in Maths) qualifies you for the Gillian Stead Bursary: £2,100 for first year students from the UK or the EU. Subject to results, you'll get a further £2,100 in each year of your degree.

3. Mathematics is ranked 2nd in the UK for Teaching Quality. The Times and Sunday Times Good University Guide 2025.

4. Mathematics is ranked number 1 in the UK (HEIs) for academic support. National Student Survey (NSS) 2024, HEIs only.

All modules presented on this course page are subject to availability and this list may change at any time.

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