Core
Complex Analysis 1
Probability and Statistics 2
Scientific Computation
Probability 3
Real Analysis
Statistics 3
Optional modules
Students must choose one from:
Economic Principles
Corporate Finance
University Park Campus, Nottingham, UK
Qualification | Entry Requirements | Start Date | UCAS code | Duration | Fees |
---|---|---|---|---|---|
BSc Hons | A*AA/AAA/A*AB | September 2024 | G120 | 3 years full-time | £9,250 per year |
Qualification | Entry Requirements | Start Date | UCAS code | Duration | Fees |
---|---|---|---|---|---|
BSc Hons | A*AA/AAA/A*AB | September 2024 | G120 | 3 years full-time | £9,250 per year |
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
6 in maths at Higher Level. If you're studying the International Baccalaureate we require Higher Level Maths Analysis and Approaches. We do not accept 'Applications and Interpretations'.
6.5 (no less than 6.0 in any element)
As well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB and O level English. Check our English language policies and equivalencies for further details.
For presessional English or one-year foundation courses, you must take IELTS for UKVI to meet visa regulations.
If you need support to meet the required level, you may be able to attend a Presessional English for Academic Purposes (PEAP) course. Our Centre for English Language Education is accredited by the British Council for the teaching of English in the UK.
If you successfully complete your presessional course to the required level, you can then progress to your degree course. This means that you won't need to retake IELTS or equivalent.
Check our country-specific information for guidance on qualifications from your country
At least A in A level mathematics. Required grades depend on whether A/AS level further mathematics is offered.
Standard offer
A*AA including A* Mathematics
or
AAA including Mathematics and Further Mathematics
or
AAA including Mathematics, plus A in AS Further Mathematics
or
A*AB including A*A in Mathematics and Further Mathematics
English 4 (C) (or equivalent)
The following A levels are not accepted:
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2023 entry.
Please note: Applicants whose backgrounds or personal circumstances have impacted their academic performance may receive a reduced offer. Please see our contextual admissions policy for more information.
In all cases we require applicants to have at least the equivalent of A level Mathematics.
If you don't meet our entry requirements there is the option to study the Engineering and Physical Sciences Foundation Programme. If you satisfy the progression requirements, you can progress to any of our mathematics courses.
There is a course for UK students and one for EU/international students.
Other foundation year programmes are considered individually, but you must have studied maths at an advanced level (up to A-level standard).
At the University of Nottingham, we have a valuable community of mature students and we appreciate their contribution to the wider student population. You can find lots of useful information on the mature students webpage.
International students must have valid UK immigration permissions for any courses or study period where teaching takes place in the UK. Student route visas can be issued for eligible students studying full-time courses. The University of Nottingham does not sponsor a student visa for students studying part-time courses. The Standard Visitor visa route is not appropriate in all cases. Please contact the university’s Visa and Immigration team if you need advice about your visa options.
STEP/MAT/TMUA is not required but may be taken into consideration when offered.
A Levels - AAB including A in Mathematics or Further Mathematics
This type of offer is given to students who meet our contextual admissions or elite athlete criteria.
Find out more about contextual offers at University of Nottingham
At least A in A level mathematics. Required grades depend on whether A/AS level further mathematics is offered.
Standard offer
A*AA including A* Mathematics
or
AAA including Mathematics and Further Mathematics
or
AAA including Mathematics, plus A in AS Further Mathematics
or
A*AB including A*A in Mathematics and Further Mathematics
English 4 (C) (or equivalent)
The following A levels are not accepted:
6 in maths at Higher Level. If you're studying the International Baccalaureate we require Higher Level Maths Analysis and Approaches. We do not accept 'Applications and Interpretations'.
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2023 entry.
Please note: Applicants whose backgrounds or personal circumstances have impacted their academic performance may receive a reduced offer. Please see our contextual admissions policy for more information.
We recognise that applicants have a wealth of different experiences and follow a variety of pathways into higher education.
Consequently we treat all applicants with alternative qualifications (besides A-levels and the International Baccalaureate) on an individual basis, and we gladly accept students with a whole range of less conventional qualifications including:
This list is not exhaustive. The entry requirements for alternative qualifications can be quite specific; for example you may need to take certain modules and achieve a specified grade in those modules. Please contact us to discuss the transferability of your qualification. Please see the alternative qualifications page for more information.
We recognise the potential of talented students from all backgrounds. We make contextual offers to students whose personal circumstances may have restricted achievement at school or college. These offers are usually one grade lower than the advertised entry requirements. To qualify for a contextual offer, you must have Home/UK fee status and meet specific criteria – check if you’re eligible.
If you don't meet our entry requirements there is the option to study the Engineering and Physical Sciences Foundation Programme. If you satisfy the progression requirements, you can progress to any of our mathematics courses.
There is a course for UK students and one for EU/international students.
Other foundation year programmes are considered individually, but you must have studied maths at an advanced level (up to A-level standard).
At the University of Nottingham, we have a valuable community of mature students and we appreciate their contribution to the wider student population. You can find lots of useful information on the mature students webpage.
STEP/MAT/TMUA is not required but may be taken into consideration when offered.
A Levels - AAB including A in Mathematics or Further Mathematics
This type of offer is given to students who meet our contextual admissions or elite athlete criteria.
Find out more about contextual offers at University of Nottingham
You have the opportunity to apply to study abroad as part of this course, living and learning in a different culture.
Benefits of studying abroad
We provide support throughout the process, including an academic advisor and a dedicated team to help you with the practicalities.
International semester abroad
You can apply to spend part of your third year abroad. This could be at one of our international partner universities, studying in English; or at one of our European partners, which will give you the unique opportunity to combine mathematics with learning a foreign language.
Possible destinations include:
Finance
You’ll pay a reduced tuition fee for the time that you’re abroad and the University also offers a range of funding opportunities, as well as external funding being available.
Optional placement year
If your course does not have a compulsory placement, integrated year in industry or compulsory year abroad where there is already an opportunity to undertake a work placement as part of that experience, you may be able to apply to undertake an optional placement year. While it is the student’s responsibility to find and secure a placement, our Careers and Employability Service will support you throughout this process. Contact placements@nottingham.ac.uk to find out more.
The school/faculty you are joining may also have additional placement opportunities. Please visit the school/faculty website for more information.
Please note: In order to undertake an optional placement year, you will need to achieve the relevant academic requirements as set by the university and meet any requirements specified by the placement host. There is no guarantee that you will be able to undertake an optional placement as part of your course.
Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.
You have the opportunity to apply to study abroad as part of this course, living and learning in a different culture.
Benefits of studying abroad
We provide support throughout the process, including an academic advisor and a dedicated team to help you with the practicalities.
International semester abroad
You can apply to spend part of your third year abroad. This could be at one of our international partner universities, studying in English; or at one of our European partners, which will give you the unique opportunity to combine mathematics with learning a foreign language.
Possible destinations include:
Finance
You’ll pay a reduced tuition fee for the time that you’re abroad and the University also offers a range of funding opportunities, as well as external funding being available.
Optional placement year
If your course does not have a compulsory placement, integrated year in industry or compulsory year abroad where there is already an opportunity to undertake a work placement as part of that experience, you may be able to apply to undertake an optional placement year. While it is the student’s responsibility to find and secure a placement, our Careers and Employability Service will support you throughout this process. Contact placements@nottingham.ac.uk to find out more.
The school/faculty you are joining may also have additional placement opportunities. Please visit the school/faculty website for more information.
Please note: In order to undertake an optional placement year, you will need to achieve the relevant academic requirements as set by the university and meet any requirements specified by the placement host. There is no guarantee that you will be able to undertake an optional placement as part of your course.
Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.
*For full details including fees for part-time students and reduced fees during your time studying abroad or on placement (where applicable), see our fees page.
If you are a student from the EU, EEA or Switzerland, you may be asked to complete a fee status questionnaire and your answers will be assessed using guidance issued by the UK Council for International Student Affairs (UKCISA) .
As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.
Books
You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies.
Printing
Due to our commitment to sustainability, we don’t print lecture notes but these are available digitally.
Study abroad
If you study abroad, you need to consider the travel and living costs associated with your country of choice. This may include visa costs and medical insurance.
Equipment
To support your studies, the university recommends you have a suitable laptop to work on when on or off campus. If you already have a device, it is unlikely you will need a new one in the short term. If you are looking into buying a new device, we recommend you buy a Windows laptop, as it is more flexible and many software packages you will need are only compatible with Windows.
Although you won’t need a very powerful computer, it is wise to choose one that will last. The University has prepared a set of recommended specifications to help you choose a suitable laptop.
If you are experiencing financial difficulties and you are struggling to manage your costs, the Hardship Funds may be able to assist you.
School scholarships
We offer an international orientation scholarship of £2,000 to the best international (full-time, non EU) applicants on this course.
It will be paid at most once for each year of study. If you repeat a year for any reason, the scholarship will not be paid for that repeated year. The scholarship is awarded in subsequent years to students who perform well academically (at the level of a 2:1 Hons degree or better at the first attempt).
The scholarship will be paid in December each year provided you have:
International students
We offer a range of international undergraduate scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers.
As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.
Books
You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies.
Printing
Due to our commitment to sustainability, we don’t print lecture notes but these are available digitally.
Study abroad
If you study abroad, you need to consider the travel and living costs associated with your country of choice. This may include visa costs and medical insurance.
Equipment
To support your studies, the university recommends you have a suitable laptop to work on when on or off campus. If you already have a device, it is unlikely you will need a new one in the short term. If you are looking into buying a new device, we recommend you buy a Windows laptop, as it is more flexible and many software packages you will need are only compatible with Windows.
Although you won’t need a very powerful computer, it is wise to choose one that will last. The University has prepared a set of recommended specifications to help you choose a suitable laptop.
If you are experiencing financial difficulties and you are struggling to manage your costs, the Hardship Funds may be able to assist you.
Home students*
Over one third of our UK students receive our means-tested core bursary, worth up to £1,000 a year. Full details can be found on our financial support pages.
* A 'home' student is one who meets certain UK residence criteria. These are the same criteria as apply to eligibility for home funding from Student Finance.
The financial world relies on mathematics and expertise in analytical thinking and problem solving. This course is designed for students who want to:
This accredited course enables you to study mathematics whilst learning key financial principles. The course is run jointly with Nottingham University Business School. Approximately 75% of the teaching is mathematics; the remainder includes finance and business economics modules.
The financial world relies on mathematics and expertise in analytical thinking and problem solving. This course is designed for students who want to:
This accredited course enables you to study mathematics whilst learning key financial principles. The course is run jointly with Nottingham University Business School. Approximately 75% of the teaching is mathematics; the remainder includes finance and business economics modules.
Our research feeds into our teaching. This means we can offer an extensive choice of core and optional modules. The compulsory group project module in the third year gives you the chance to work on specific projects tackled through workshops and student-led group activities.
You will study core first-year mathematics modules in topics such as calculus, probability and statistics. This will develop your skills in problem solving and analytical thinking. The year will include an introduction to business and finance, including accounting and insurance.
As you progress to later years of your degree, you will have more flexibility to choose topics from optional modules. In mathematics, you can explore advanced topics in mathematical finance and modelling, whilst developing expertise in finance and risk management in the Business School.
In your final year, you do a compulsory mathematics group project. This gives you the chance to work collaboratively on a substantial financial mathematics problem. You'll be supervised by expert teaching staff. This is an excellent opportunity to develop your report-writing and team-working skills.
These transferable skills will help in your career planning. Many of our graduates work in roles including corporate finance, international trade and education.
Important Information
This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.
Mandatory
Year 1
Fundamentals of Financial and Management Accounting
Mandatory
Year 1
Core Mathematics
Mandatory
Year 1
Probability and Statistics 1
Mandatory
Year 1
Business Finance
Mandatory
Year 1
Insurance in a Risky World
Mandatory
Year 2
Complex Analysis
Mandatory
Year 2
Vector Calculus and Electromagnetism
Mandatory
Year 2
Probability and Statistics 2
Mandatory
Year 2
Scientific Computation
Mandatory
Year 2
Probability 3
Mandatory
Year 2
Real analysis
Optional
Year 2
Economic Principles
Optional
Year 2
Corporate Finance (Level 2)
Mandatory
Year 3
Statistics 3
Mandatory
Year 3
Mathematics Group Projects
Mandatory
Year 3
Mathematical Finance
Optional
Year 3
Stochastic Models
Optional
Year 3
Coding and Cryptography
Optional
Year 3
Optimisation
Optional
Year 3
Game Theory
Optional
Year 3
Time Series Analysis
Optional
Year 3
Scientific Computation and Numerical Analysis
Optional
Year 3
International Finance
Optional
Year 3
Financial Economics
Optional
Year 3
Risk Management Decisions
Optional
Year 3
Financial Markets: Theory and Computation
Optional
Year 3
Risk Management Processes
The above is a sample of the typical modules we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. Modules (including methods of assessment) may change or be updated, or modules may be cancelled, over the duration of the course due to a number of reasons such as curriculum developments or staffing changes. This content was last updated on Tuesday 18 July 2023.
Core
Complex Analysis 1
Probability and Statistics 2
Scientific Computation
Probability 3
Real Analysis
Statistics 3
Optional modules
Students must choose one from:
Economic Principles
Corporate Finance
Core
Mathematics Group Projects
Optional
Students must choose 50 credits from:
Stochastic Models – 20 credits
Coding and Cryptography – 10 credits
Optimization – 20 credits
Game Theory – 10 credits
Scientific Computation and Numerical Analysis – 20 credits
Time Series Analysis – 20 credits
And 30 credits from:
Risk, Information and Insurance – 10 credits
International Finance – 10 credits
Financial Economics – 10 credits
Risk Management Decisions – 10 credits
Financial Markets: Theory and Computation – 20 credits
Risk Management Processes – 10 credits
This module covers:
Calculus provides the basic, underpinning mathematics for much of modern technology, from the design of chemical reactors and high-speed trains to models for gene networks and space missions. The basic ideas that underpin calculus are functions and limits, and to study these rigorously you need to learn about the tools of mathematical analysis. In this module, in addition to differential equations and the calculus of functions of one or more variables and their differentiation, integration and analysis, you will learn the basics of logic and how to construct rigorous proofs.
Linear algebra underpins many areas of modern mathematics. The basic objects that you will study in this module are vectors, matrices and linear transformations. Topics covered include vector geometry, matrix algebra, vector spaces, linear systems of equations, eigenvalues and eigenvectors, and inner product spaces. The mathematical tools that you study in this module are fundamental to many mathematical, statistical, and computational models of the real world.
There is no area of modern mathematics that does not use computational methods to make progress on problems with which the human brain is unable to cope due to the volume of calculations required. Scientific computation underpins many technological developments in all sectors of the economy. You will learn how to write code for mathematical applications using Python. Python is a freely available, widely used computer language. No previous computing knowledge will be assumed.
Probability theory allows us to assess risk when calculating insurance premiums. It can help when making investment decisions. It can be used to estimate the impact that government policy will have on climate change or the spread of disease. In this module, you will study the theory and practice of discrete and continuous probability, including topics such as Bayes’ theorem, multivariate random variables, probability distributions and the central limit theorem.
Statistics is concerned with methods for collecting, organising, summarising, presenting and analysing data. It enables us to draw valid conclusions and make reasonable decisions based on statistical analysis. It can be used to answer a diverse range of questions in areas such as the pharmaceuticals industry, economic planning and finance. In this module you’ll study statistical inference and learn how to analyse, interpret and report data. Topics that you’ll learn about include, point estimators and confidence intervals, hypothesis testing, linear regression and goodness-of-fit tests.
This module provides an introduction to the fundamental concepts of finance and will help you:
The module examines how insurance markets operate to satisfy commercial and individual customers' demand for protection against risk, and would usually include:
This course introduces the theory and applications of functions of a complex variable, using an approach oriented towards methods and applications. You will also learn about functions of complex variables and study topics including, analyticity, Laurent series, contour integrals and residue calculus and its applications.
This module provides a grounding in the techniques of vector calculus and illustrates their use by developing the theory of electromagnetism and Maxwell’s equations. You will be introduced to the vector differentiation operations of gradient, divergence and curl, integration methods for scalar and vector quantities over paths, surfaces and volumes, and the relationship of these operations to each other via the integral theorems of Green, Stokes and Gauss. These concepts will be illustrated through examples drawn from the theory of electromagnetism
In this module you will develop your understanding of probability theory and random variables, with particular attention paid to continuous random variables. Fundamental concepts relating to probability will be discussed in detail, including limit theorems and the multivariate normal distribution. You will also meet some new statistical concepts and methods. The key concepts of inference including estimation and hypothesis testing will be described as well as practical data analysis and assessment of model adequacy.
Most mathematical problems cannot be solved analytically or would take too long to solve by hand. Instead, computational algorithms must be used. In this module, you’ll learn about algorithms for approximating functions, derivatives, and integrals, and for solving many types of algebraic and ordinary differential equations.
The purpose of this module is to provide a thorough grounding in a broad range of techniques required in the analysis of probabilistic models, and to introduce stochastic processes by studying techniques and concepts common in the analysis of discrete time Markov Chains.
In this module you will further develop your understanding of the tools of real analysis. This provides you with a solid foundation for subsequent modules in metric and topological spaces, relativity, and numerical analysis. You’ll study topics such as the Bolzano-Weierstrass Theorem, norms, sequences and series of functions, differentiability, and the Riemann integral.
This module introduces you to the microeconomic theory of the market, firm and consumer, and to the nature and scope of the macroeconomic policy agenda, developing the analytical frameworks necessary for the evaluation of policy instruments. The module enables you to understand the economic arguments that underlie different views and to evaluate relevant arguments.
Topics include: market demand, supply and equilibrium; firm production and costs; market structure (perfect competition, oligopoly, monopoly); consumer theory; market failure; asymmetric information; externalities; aggregate demand; money and interest rates; aggregate supply; unemployment and inflation; balance of payments and exchange rates.
This module provides you with the opportunity to apply for CIMA accreditation in the CIMA paper: Fundamentals of Business Economics. It also provides you with the foundations to build upon in quantitative and econometric modules which provides you with the opportunity to apply for additional CIMA accreditation.
This module concentrates on the major investment and financing decisions made by managers within a firm.
In this module, you will be introduced to a wide range of statistical concepts and methods fundamental to applications of statistics, and meet the key concepts and theory of linear models, illustrating their application via practical examples drawn from real-life situations.
This module involves the application of mathematics to a variety of practical, open-ended problems - typical of those that mathematicians encounter in industry and commerce.
Specific projects are tackled through workshops and student-led group activities. The real-life nature of the problems requires you to develop skills in model development and refinement, report writing and teamwork. There are various streams within the module, for example:
This ensures that you can work in the area that you find most interesting.
You will explore the concepts of discrete time Markov chains to understand how they used. We will also provide an introduction to probabilistic and stochastic modelling of investment strategies, and for the pricing of financial derivatives in risky markets.
You will gain well-rounded knowledge of contemporary issues which are of importance in research and workplace applications.
This module will develop your knowledge of discrete-time Markov chains by applying them to a range of stochastic models. You will be introduced to Poisson and birth-and-death processes. You will then move onto more extensive studies of epidemic models and queuing models, with introductions to component and system reliability.
This course provides an introduction to coding theory in particular to error-correcting codes and their uses and applications. It also provides an introduction to to cryptography, including classical mono and polyalphabetic ciphers as well as modern public key cryptography and digital signatures, their uses and applications.
In this module a variety of techniques and areas of mathematical optimisation will be covered including Lagrangian methods for optimisation, simplex algorithm linear programming and dynamic programming. You’ll develop techniques for application which can be used outside the mathematical arena.
20 credits in the Autumn Semester.
Game theory contains many branches of mathematics (and computing); the emphasis here is primarily algorithmic. The module starts with an investigation into normal-form games, including strategic dominance, Nash equilibria, and the Prisoner’s Dilemma. We look at tree-searching, including alpha-beta pruning, the ‘killer’ heuristic and its relatives. It then turns to mathematical theory of games; exploring the connection between numbers and games, including Sprague-Grundy theory and the reduction of impartial games to Nim.
This module will provide a general introduction to the analysis of data that arise sequentially in time. Several commonly occurring models will be discussed and their properties derived. Methods for model identification for real time series data will be described. Techniques for estimating the parameters of a model, assessing its fit and forecasting future values will be developed. You will gain experience of using a statistical package and interpreting its output.
You'll learn how to use numerical techniques for determining the approximate solution of ordinary and partial differential equations where a solution cannot be found through analytical methods alone. You will also cover topics in numerical linear algebra, discovering how to solve very large systems of equations and find their eigenvalues and eigenvectors using a computer.
This module discusses and analyses the management of the international finance function of firms. Typical issues include:
This module will offer an introduction to some theoretical concepts related to the allocation of risk by financial institutions. Then it will apply these concepts to the analysis of financial and banking crises.
This module will introduce the different aspects of corporate risk and examine how the risk of fortuitous loss may affect the various stakeholders in the operations of firms.
This module examines the workings of the major financial markets. Markets for equity and debt are dealt with (money and foreign exchange markets are also the focus) as are markets for derivative instruments. The module covers the key theoretical models of modern finance, key market conventions and mechanisms, financial risk management with derivative instruments.
This module will discuss the processes utilised by corporate enterprises to manage the risk of fortuitous loss. Once corporate risks have been identified and their impact on the firm measured, risk management attempts to control the size and frequency of loss, and to finance those fortuitous losses which do occur.
You will broaden and deepen your knowledge of mathematical ideas and techniques using a wide variety of different methods of study.
In both academia and the wider world of work, mathematics has become a collaborative discipline, and our degree programme takes this into account. As well as more traditional individual study methods, where you work on challenging mathematical problems, you will also collaborate with other students in group problem solving sessions. You will write about your work in reports and present your findings to your study group.
You will be assessed using a combination of examinations, coursework, computing assignments, group projects and presentations. The specific combination of learning activities will depend on your choice of modules and will be aligned with the topics covered.
The first year is a qualifying year but does not count towards your final degree classification. Your final degree classification will be based on marks gained for your second and subsequent years of study. Year two is worth 33% with year three worth 67% of your final marks.
You will be given a copy of our marking criteria which provides guidance on how your work is assessed. Your work will be marked in a timely manner and you will have regular opportunities to give and receive feedback on your progress with your tutor and lecturers.
The majority of modules are worth 10 or 20 credits. You will study modules totalling 120 credits in each year. As a guide one credit equates to approximately 10 hours of work. During the first year, you will typically spend approximately:
You can attend drop-in sessions each wee up to a maximum of two hours and the remaining time will be spent in independent study.
In later years, you are likely to spend up to 15 hours per week in lectures and workshops subject to your module selection.
In your first year you will meet with your personal tutor every week during term time. In small groups of 5-6 students, you'll run through core topics and practice working together in a group to solve problems and communicate mathematics effectively.
All of our modules are delivered by lecturers or professors. PhD students sometimes support problem classes and computing workshops in their areas of expertise. Lectures in the first two years often include at least 200 students but class sizes are much more variable in the third year subject to module selection.
Mathematics is a broad and versatile subject leading to many possible careers. Skilled mathematicians are found in a variety of organisations, in lots of different sectors.
Our graduates are helping to shape the future in many sectors including data analysis, finance and IT. Many work in science, engineering or consultancy, others pursue careers within government departments. Some graduates choose a career in mathematical research.
The knowledge and skills that you will gain during this degree, can typically lead to roles working as:
Graduate destinations include:
Read our alumni profiles for the sort of jobs our graduates go on to do.
Each year some students choose to stay at Nottingham and join our lively group of postgraduate research students.
86.8% of undergraduates from the School of Mathematical Sciences secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £27,295.*
* Data from University of Nottingham graduates, 2017-2019. HESA Graduate Outcomes. Sample sizes vary. The average annual salary is based on graduates working full-time within the UK.
Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take.
Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.
Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.
The University of Nottingham is consistently named as one of the most targeted universities by Britain’s leading graduate employers (Ranked in the top ten in The Graduate Market in 2013-2020, High Fliers Research).
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
University Park Campus covers 300 acres, with green spaces, wildlife, period buildings and modern facilities. It is one of the UK's most beautiful and sustainable campuses, winning a national Green Flag award every year since 2003.
I wanted to be able to learn maths in a more practical sense. Financial maths is all about applying the maths you learn to real-life situations. Not only is it really interesting but it is also really useful when applying for jobs.
Poppy Farrow
Financial Mathematics BSc
Faculty of Science
4 years full-time
Qualification
BSc Hons
Entry requirements
A*AA/AAA/A*AB
UCAS code
G105
Faculty of Social Sciences
4 years full-time
Qualification
BSc Hons
Entry requirements
AAA
UCAS code
N410
Faculty of Science
3 years full-time
Qualification
BSc Hons
Entry requirements
A*AA/AAA/A*AB
UCAS code
G100
Faculty of Science
3 years full-time
Qualification
BSc Jt Hons
Entry requirements
A*AA/AAA
UCAS code
GL11
Faculty of Science
4 years full-time
Qualification
MMath Hons
Entry requirements
A*AA/AAA/A*AB
UCAS code
G103
Faculty of Science
3 years full-time
Qualification
BSc Hons
Entry requirements
A*AA/AAA/A*AB
UCAS code
G300
Our webpages contain detailed information about all processes in your student journey. Check them out alongside our student enquiry centre to find the information you need. If you’re still struggling, head to our help page where you can find details of how to contact us in-person and online.