Available in Clearing
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.
This course is accredited by
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.
Together, we can make the world add up
Module options
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.
Filters
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
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
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
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
20 credits
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
20 credits
Our facilities
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.
Dr Jie Yang
Lecturer
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.
Dr John Fry
Lecturer
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.
Entry Requirements
Fees & Funding
How much is it?
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.
Become part of the next generation of futuremakers
Like what you've seen? Then it's time to apply.
The standard way is to apply through UCAS. This will give you the chance to showcase your skills qualities and passion for the subject, as well as providing us with your academic qualifications.
Not ready to apply yet?
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.
You may also be interested in...
Mathematics is ranked 1st for Graduate Prospects - On Track out of 65 institutions. Complete University Guide 2026.
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.
Mathematics is ranked 2nd in the UK for Teaching Quality. The Times and Sunday Times Good University Guide 2025.
Mathematics: Ranked 12th in the UK for assessment and feedback. National Student Survey (NSS) 2025, HEIs only
All modules presented on this course page are subject to availability and this list may change at any time.