Financial Mathematics BSc
School of Mathematics and Statistics
Management School
Explore this course:
You are viewing this course for 2023-24 entry. 2024-25 entry is also available.
Key details
- A Levels AAB
Other entry requirements - UCAS code GN13
- 3 years / Full-time
- September start
- Find out the course fee
- Optional placement year
- Study abroad
Course description
This course is designed to give you the numerical skills and specialist knowledge for a range of roles in finance. You’ll learn the tools, principles and practices of the finance industry, as well as the fundamental mathematics behind banking, insurance, accountancy and more.
We have a small but focused number of modules in the first year, that cover all the essentials you’ll need for the rest of your degree. You’ll also have modules on finance to choose from, covering topics that include accounting, economic analysis, and financial management.
In the second year, you’ll continue to build a powerful toolbox of mathematical techniques which you can apply to increasingly complex problems. You’ll be able to examine more advanced topics in finance too such as microeconomics, macroeconomics, econometrics and corporate finance.
Some module options include more project work. This gives you the chance to put your mathematics skills into practice in different contexts and scenarios that you might encounter when you start work after graduation. A module on careers development gives you the chance to find out about different career paths, learn about potential employers, write an impressive CV and sell yourself at job interviews.
By third year, you’ll have the skills, knowledge and experience to go in lots of different directions in finance and mathematics. We’ll give you lots of optional modules to choose from, so you can study the topics that are most useful to the career path you want to take or that you enjoy the most.
Modules
A selection of modules are available each year - some examples are below. There may be changes before you start your course. From May of the year of entry, formal programme regulations will be available in our Programme Regulations Finder.
Choose a year to see modules for a level of study:
UCAS code: GN13
Years: 2022, 2023
As well as maths modules, student choose either an economics pathway or a management pathway.
Core modules:
- Mathematics Core
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Mathematics Core covers topics which continue school mathematics and which are used throughout the degree programmes: calculus and linear algebra, developing the framework for higher-dimensional generalisation. This material is central to many topics in subsequent courses. At the same time, weekly small-group tutorials with the Personal Tutor aim to develop core skills, such as mathematical literacy and communication, some employability skills and problem-solving skills.
40 credits - Foundations of Pure Mathematics
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The module aims to give an overview of basic constructions in pure mathematics; starting from the integers, we develop some theory of the integers, introducing theorems, proofs, and abstraction. This leads to the idea of axioms and general algebraic structures, with groups treated as a principal example. The process of constructing the real numbers from the rationals is also considered, as a preparation for “analysis”, the branch of mathematics where the properties of sequences of real numbers and functions of real numbers are considered.
20 credits - Probability and Data Science
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Probability theory is branch of mathematics concerned with the study of chance phenomena. Data science involves the handling and analysis of data using a variety of tools: statistical inference, machine learning, and graphical methods. The first part of the module introduces probability theory, providing a foundation for further probability and statistics modules, and for the statistical inference methods taught here. Examples are presented from diverse areas, and case studies involving a variety of real data sets are discussed. Data science tools are implemented using the statistical computing language R.
20 credits
Economics pathway:
- Economic Analysis and Policy
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This is a compulsory module for all single and dual honours students in Economics. The module provides students with an introduction to microeconomic and macroeconomic analysis together with examples of their application in order to develop students' understanding of the roles of both in economic policy making.
40 credits
Management pathway:
- Introduction to Financial Accounting
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Financial Accounting is concerned with the ways in which the financial transactions of a business are recorded and summarised in financial statements. This module provides an introduction to the construction of financial statements and an understanding and evaluation of the principles and concepts on which they are underpinned. Once the principles have been established, the module further develops the practical understanding of the preparation of financial statements and focuses on the preparation, interpretation and limitations of company financial statements and the regulatory framework in which they are prepared.
20 credits - Foundations in Financial Management
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This module aims to create a foundation of knowledge in the subject area of financial management, creating the required framework of skill and knowledge for financial decision making and to provide a base of knowledge for the related modules in levels 2 and 3. This module will achieve this by introducing the essential principles, theories and calculations within financial management. It will also introduce the contemporary issues and developments in financial markets. The module design and content expects to at least cover the contents of foundation level financial management related module syllabus of professional accounting bodies.
20 credits
In the second year, you’ll continue to build a powerful toolbox of mathematical techniques which you can apply to increasingly complex problems. You’ll be able to examine more advanced topics in finance too such as microeconomics, macroeconomics, econometrics and corporate finance.
A full list of modules for this year will be available soon.
As well as maths modules, student choose either an economics pathway or a management pathway.
Core modules:
- Stochastic Processes and Finance
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A stochastic process is a mathematical model for phenomena unfolding dynamically and unpredictably over time. This module studies two classes of stochastic process particularly relevant to financial phenomena: martingales and diffusions. The module develops the properties of these processes and then explores their use in Finance. A key problem considered is that of the pricing of a financial derivative such as an option giving the right to buy or sell a stock at a particular price at a future time. What is such an option worth now? Martingales and stochastic integration are shown to give powerful solutions to such questions.
20 credits - Financial Mathematics
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The discovery of the Capital Asset Pricing Model by William Sharpe in the 1960's and the Black-Scholes option pricing formula a decade later mark the beginning of a very fruitful interaction between mathematics and finance. The latter obtained new powerful analytical tools while the former saw its knowledge applied in new and surprising ways. (A key result used in the derivation of the Black-Scholes formula, Ito's Lemma, was first applied to guide missiles to their targets; hence the title 'rocket science' applied to financial mathematics). This course describes the mathematical ideas behind these developments together with their application in modern finance.
10 credits - Metric Spaces
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This unit explores ideas of convergence of iterative processes in the more general framework of metric spaces. A metric space is a set with a distance function which is governed by just three simple rules, from which the entire analysis follows. The course follows on from MAS207 'Continuity and Integration', and adapts some of the ideas from that course to the more general setting. The course ends with the Contraction Mapping Theorem, which guarantees the convergence of quite general processes; there are applications to many other areas of mathematics, such as to the solubility of differential equations.
10 credits
Optional maths modules:
- Applied Probability
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The unit will link probability modelling to Statistics. It will explore a range of models that can be constructed for random phenomena that vary in time or space - the evolution of an animal population, for example, or the number of cancer cases in different regions of the country. It will illustrate how models are built and how they might be applied: how likelihood functions for a model may be derived and used to fit the model to data, and how the result may be used to assess model adequacy. Models examined will build on those studied in MAS275
10 credits - Bayesian Statistics
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This module develops the Bayesian approach to statistical inference. The Bayesian method is fundamentally different in philosophy from conventional frequentist/classical inference and is becoming the approach of choice in many fields of applied statistics. This course will cover both the foundations of Bayesian statistics, including subjective probability, inference, and modern computational tools for practical inference problems, specifically Markov Chain Monte Carlo methods and Gibbs sampling. Applied Bayesian methods will be demonstrated in a series of case studies using the software package R.
10 credits - Codes and Cryptography
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The word 'code' is used in two different ways. The ISBN code of a book is designed in such a way that simple errors in recording it will not produce the ISBN of a different book. This is an example of an 'error-correcting code' (more accurately, an error-detecting code). On the other hand, we speak of codes which encrypt information - a topic of vital importance to the transmission of sensitive financial information across the internet. These two ideas, here labelled 'Codes' and 'Cryptography', each depend on elegant pure mathematical ideas: codes on linear algebra and cryptography on number theory. This course explores these topics, including the real-life applications and the mathematics behind them.
10 credits - Combinatorics
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Combinatorics is the mathematics of selections and combinations. For example, given a collection of sets, when is it possible to choose a different element from each of them? That simple question leads to Hall's Theorem, a far-reaching result with applications to counting and pairing problems throughout mathematics.
10 credits - Complex Analysis
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It is natural to use complex numbers in algebra, since these are the numbers we need to provide the roots of all polynomials. In fact, it is equally natural to use complex numbers in analysis, and this course introduces the study of complex-valued functions of a complex variable. Complex analysis is a central area of mathematics. It is both widely applicable and very beautiful, with a strong geometrical flavour. This course will consider some of the key theorems in the subject, weaving together complex derivatives and complex line integrals. There will be a strong emphasis on applications. Anyone taking the course will be expected to know the statements of the theorems and be able to use them correctly to solve problems.
10 credits - Differential Geometry
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What is differential geometry? In short, it is the study of geometric objects using calculus. In this introductory course, the geometric objects of our concern are curves and surfaces. Besides calculating such familiar quantities as lengths, angles and areas, much of our focus is on how to measure the 'curvature' of a geometric object. The story is relatively simple for curves, but naturally becomes more involved for surfaces - and more interesting too.
10 credits - Game Theory
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The module will give students the opportunity to apply previously acquired mathematical skills to the study of Game Theory and to some of the applications in Economics.
10 credits - Generalised Linear models
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This module introduces the theory and application of generalised linear models. These models can be used to investigate the relationship between some quantity of interest, the "dependent variable", and one more "explanatory" variables; how the dependent variable changes as the explanatory variables change. The term "generalised" refers to the fact that these models can be used for a wide range of different types of dependent variable: continuous, discrete, categorical, ordinal etc. The application of these models is demonstrated using the programming language R.
10 credits - Graph Theory
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A graph is a simple mathematical structure consisting of a collection of points, some pairs of which are joined by lines. Their basic nature means that they can be used to illustrate a wide range of situations. The aim of this course is to investigate the mathematics of these structures and to use them in a wide range of applications.
10 credits - Group Project
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This unit will provide students with opportunities to improve their transferable skills by working in groups of (normally) four students to investigate a mathematical project topic. Students will be expected to register for SOM369 in pre-formed groups of four. With the aid of the Library and the internet each group will produce a (single) written account of the group's investigations into the topic, and contribute to an oral presentation of their work. Topics will be proposed by members of staff, but groups may propose their own. The module Coordinator will provide guidance about working in groups, and on appropriate techniques for the written and oral presentation of mathematical topics.
10 credits - History of Mathematics
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The course aims to introduce the student to the history of mathematics. The topics discussed are Egyptian and Babylonian mathematics, early Greek mathematics, Renaissance mathematics, and the early history of the calculus.
10 credits - Knots and Surfaces
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The course studies knots, links and surfaces in an elementary way. The key mathematical idea is that of an algebraic invariant: the Jones polynomial for knots, and the Euler characteristic for surfaces. These invariants will be used to classify surfaces, and to give a practical way to place a surface in the classification. Various connections with other sciences will be described.
10 credits - Machine Learning
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Machine learning lies at the interface between computer science and statistics. The aims of machine learning are to develop a set of tools for modelling and understanding complex data sets. It is an area developed recently in parallel between statistics and computer science. With the explosion of 'Big Data', statistical machine learning has become important in many fields, such as marketing, finance and business, as well as in science. The module focuses on the problem of training models to learn from training data to classify new examples of data.
10 credits - Measure and Probability
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The module will give students an additional opportunity to develop skills in modern analysis as well as providing a rigorous foundation for probability theory. In particular it would form a useful precursor or companion course to the Level 4 courses MAS436 (Functional Analysis) and MAS452 (Stochastic Processes and Finance), the latter of which is fundamentally dependent on measure theoretic ideas
10 credits - Medical Statistics
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This course comprises sections on Clinical Trials and Survival Data Analysis. The special ethical and regulatory constraints involved in experimentation on human subjects mean that Clinical Trials have developed their own distinct methodology. Students will, however, recognise many fundamentals from mainstream statistical theory. The course aims to discuss the ethical issues involved and to introduce the specialist methods required. Prediction of survival times or comparisons of survival patterns between different treatments are examples of paramount importance in medical statistics. The aim of this course is to provide a flavour of the statistical methodology developed specifically for such problems, especially with regard to the handling of censored data (eg patients still alive at the close of the study). Most of the statistical analyses can be implemented in standard statistical packages.
10 credits - Operations Research
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Mathematical Programming is the title given to a collection of optimisation algorithms that deal with constrained optimisation problems. Here the problems considered will all involve constraints which are linear, and for which the objective function to be maximised or minimised is also linear. These problems are not continuously differentiable; special algorithms have to be developed. The module considers not only the solution of such problems but also the important area of post-optimality analysis; i.e. given the solution can one answer questions about the effect of small changes in the parameters of the problem (such as values of the cost coefficients)?
10 credits - Practical and Applied Statistics
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The overall aim of the course is to give students practice in the various stages of dealing with a real problem: objective definition, preliminary examination of data, modelling, analysis, computation, interpretation and communication of results. It could be said that while other courses teach how to do statistics, this teaches how to be a statistician. There will be a series of projects and other exercises directed towards this aim. Projects will be assessed, but other exercises will not.
20 credits - Sampling Theory and Design of Experiments
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The results of sample surveys through opinion polls are commonplace in newspapers and on television. The objective of the Sampling Theory section of the module is to introduce several different methods for obtaining samples from finite populations. Experiments which aim to discover improved conditions are commonplace in industry, agriculture, etc. The purpose of experimental design is to maximise the information on what is of interest with the minimum use of resources. The aim of the Design section is to introduce some of the more important design concepts.
10 credits - Time Series
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Time series are observations made in time, for which the time aspect is potentially important for understanding and use. The course aims to give an introduction to modern methods of time series analysis and forecasting as applied in economics, engineering and the natural, medical and social sciences. The emphasis will be on practical techniques for data analysis, though appropriate stochastic models for time series will be introduced as necessary to give a firm basis for practical modelling. Appropriate computer packages will be used to implement the methods.
10 credits - Topics in Number Theory
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In this module we study intergers, primes and equations. Topics covered include linear and quadratic congruences, Fermat Little Theorem and Euler's Theorem, the RSA cryptosystem, Quadratic Reciprocity, perfect numbers, continued fractions and others.
10 credits
Economics pathway:
- Advanced Microeconomics
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This module is designed to further develop students' understanding of core microeconomic principles by exploring a number of advanced topics in microeconomics. The course material will be predominately theoretical with a substantial mathematical component and some evaluation of empirical evidence. Indicative topics include: decision-making under uncertainty; insurance markets, principal-agent theory, risk aversion and risky asset holdings; cooperative and non-cooperative bargaining; economics of sporting contests.
20 credits - Advanced Macroeconomics
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Lectures will provide a bridge from level two core macroeconomic theory and introduce extensions to that theory as well as some new topic areas. They will also equip students to analyse economic issues arising in these topics. Workshops will give students the opportunity to show their understanding of topics and their applications.
20 credits - Further Econometrics
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This module is designed to introduce students to a number of important advanced topics in econometrics. The aims of the module are to provide: an overview of modern econometric methodology; an introduction to further econometric techniques; and an introduction to applied econometric research methods. The module will cover topics in both microeconometrics and times series econometrics.
20 credits - Modern Finance
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The aim of this module is to introduce some of the main principles of modern finance. This is an analytical module which reflects the quantitative nature of the subject and each topic is developed from first principles. The topics covered include: the time value of money and its applications; risk return and diversification; introduction to portfolio selection; the capital asset pricing model (CAPM) and its use; and an introduction to the role of utility theory in finance and company capital structure. The aims of the module are to: Provide an introduction to portfolio theory, i.e., the concept of financial risk and behaviour of rational, risk-averse investors; Leading to a general equilibrium picture of financial asset returns and prices; Explore corporate financial decision making in the major areas of Capital Structure (the mix of equity and debt financing used to finance the firm’s investments); Introduce students to concepts of Stock Market Efficiency and Option Pricing, considering in particular alternative pricing models.
20 credits
Management pathway:
- Modern Finance
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The aim of this module is to introduce some of the main principles of modern finance. This is an analytical module which reflects the quantitative nature of the subject and each topic is developed from first principles. The topics covered include: the time value of money and its applications; risk return and diversification; introduction to portfolio selection; the capital asset pricing model (CAPM) and its use; and an introduction to the role of utility theory in finance and company capital structure. The aims of the module are to: Provide an introduction to portfolio theory, i.e., the concept of financial risk and behaviour of rational, risk-averse investors; Leading to a general equilibrium picture of financial asset returns and prices; Explore corporate financial decision making in the major areas of Capital Structure (the mix of equity and debt financing used to finance the firm’s investments); Introduce students to concepts of Stock Market Efficiency and Option Pricing, considering in particular alternative pricing models.
20 credits - Corporate Finance
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The course unit covers more advanced topics in corporate finance - such as financing and investment decisions under asymmetric information - and valuation techniques for investment appraisal - such as real option pricing. Some of the fundamental assumptions underlying corporate finance such as the efficient market hypothesis are also challenged and an alternative approach to finance, behavioural finance, is reviewed. Financial operations such as mergers and acquisitions and initial public offerings are also discussed. As this course unit is highly quantitative, it requires a good knowledge of the basic mathematical concepts (e.g. probability calculus and derivatives), statistics (e.g. regression analysis, normal distributions and variance analysis) and the financial concepts reviewed in MGT230.
20 credits - Financial Derivatives
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Over the last thirty years, the worldwide derivatives market has grown enormously in size and importance. This growth is due in part to the long-term consequences of the now famous option pricing formula developed by Black, Scholes and Merton and published in 1973 and the increase in the volatility of many financial instruments over the last 30 years. Futures and options, which are both derivative securities, are increasingly used by many participants in financial markets. This includes bankers, fund managers, security and currency traders in the world's major financial centres, but also increasingly extends to the finance departments of public and private sector organizations. This module aims to provide an introduction to the pricing and use of some of the basic types of derivative securities. Reflecting the subject, the module is analytical in nature. All concepts are taught from first principles. The course is self-contained to a large extent and includes lectures on the underlying financial economics as well as necessary mathematics and statistics.
20 credits
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
Learning and assessment
Learning
You'll learn through lectures, problems classes in small groups and research projects. Some modules also include programming classes.
Assessment
You will be assessed in a variety of ways, depending on the modules you take. This can include quizzes, examinations, presentations, participation in tutorials, projects, coursework and other written work.
Programme specification
This tells you the aims and learning outcomes of this course and how these will be achieved and assessed.
Entry requirements
With Access Sheffield, you could qualify for additional consideration or an alternative offer - find out if you're eligible.
The A Level entry requirements for this course are:
AAB
including A in Maths
A Levels + additional qualifications ABB, including A in Maths + B in a relevant EPQ; ABB, including A in Maths + B in A Level Further Maths
International Baccalaureate 34, with 6 in Higher Level Maths (Analysis and Approaches)
BTEC Extended Diploma DDD in a relevant subject with Distinctions in all Maths units
BTEC Diploma DD + A in A Level Maths
Scottish Highers + 1 Advanced Higher AAABB + A in Maths
Welsh Baccalaureate + 2 A Levels B + AA, including Maths
Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 36 at Distinction (to include Maths units) and 9 at Merit
Other requirements-
We will give your application additional consideration if you have passed the Sixth Term Examination Paper (STEP) at grade 3 or above or the Test of Mathematics for University Admissions (TMUA) at grade 5 or above
The A Level entry requirements for this course are:
ABB
including A in Maths
A Levels + additional qualifications ABB, including A in Maths + B in a relevant EPQ; ABB, including A in Maths + B in A Level Further Maths
International Baccalaureate 33, with 6 in Higher Level Maths (Analysis and Approaches)
BTEC Extended Diploma DDD in a relevant subject with Distinctions in all Maths units
BTEC Diploma DD + A in A Level Maths
Scottish Highers + 1 Advanced Higher AABBB + A in Maths
Welsh Baccalaureate + 2 A Levels B + AB, including A in Maths
Access to HE Diploma Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 30 at Distinction (to include Maths units) and 15 at Merit
Other requirements-
We will give your application additional consideration if you have passed the Sixth Term Examination Paper (STEP) at grade 3 or above or the Test of Mathematics for University Admissions (TMUA) at grade 5 or above
You must demonstrate that your English is good enough for you to successfully complete your course. For this course we require: GCSE English Language at grade 4/C; IELTS grade of 6.5 with a minimum of 6.0 in each component; or an alternative acceptable English language qualification
Equivalent English language qualifications
Visa and immigration requirements
Other qualifications | UK and EU/international
If you have any questions about entry requirements, please contact the department.
School of Mathematics and Statistics
Staff in the school work on a wide range of topics, from the most abstract research on topics like algebraic geometry and number theory, to the calculations behind animal movements and black holes. They’ll guide you through the key concepts and techniques that every mathematician needs to understand and give you a huge range of optional modules to choose from.
The department is based in the Hicks Building, which has classrooms, lecture theatres, computer rooms and social spaces for our students. It’s right next door to the Students' Union, and just down the road from the 24/7 library facilities at the Information Commons and the Diamond.
School of Mathematics and StatisticsManagement School
We are a leading business school with Triple Crown accreditation (AACSB, AMBA and EQUIS). These awards have been achieved through the outstanding quality of our programmes, research output, support for students and alumni, and links with industry. We have a world-class reputation for high quality teaching, ground-breaking research and cutting-edge thinking.
You’ll be part of a dynamic and engaging business school that puts you and your future at the heart of everything it does. We balance a rigorous academic foundation with practical skills to ensure you are ready for the world of work.
We want you to develop skills so you can apply course content in a company setting. Our close links with organisations keep us in tune with the changing demands of the workplace. We know what employers are looking for.
You'll learn from experts - many are former industry professionals and they work closely with businesses. Because our academics are world-leading researchers, your education will draw on the most current management theories.
We want you to engage with the academic content, be conscientious and take an independent approach to study.
We'll help you to be informed, innovative and proactive and do everything we can to support and enhance your career, steering you in the right direction with all the knowledge and skills you require.
You'll benefit from tailored on-site and online professional careers support, dedicated skills sessions and events with experts from world-leading organisations and professional bodies. These activities will help guide your personal and professional development to help you secure your dream placement, internship or graduate role.
Management School students are based in our building on Conduit Road which accommodates learning facilities such as lecture theatres, seminar rooms, trading and computer rooms, our academic and professional staff, the Courtyard Café, and our Futures First Employability Hub and Student Experience Office. Teaching takes place at various venues across campus.
Facilities
The Management School has invested in an impressive, fully-equipped financial trading room, built around Bloomberg and Refinitiv Eikon.
These terminals are used by traders, banks and multinational companies to trade financial securities, gain market insights and undertake research. Students will also have the opportunity to gain certification that demonstrates competence in these systems, which will add real value to your CV.
Why choose Sheffield?
The University of Sheffield
A top 100 university
QS World University Rankings 2023
92 per cent of our research is rated as world-leading or internationally excellent
Research Excellence Framework 2021
Top 50 in the most international universities rankings
Times Higher Education World University Rankings 2022
No 1 Students' Union in the UK
Whatuni Student Choice Awards 2022, 2020, 2019, 2018, 2017
A top 10 university targeted by employers
The Graduate Market in 2022, High Fliers report
School of Mathematics and Statistics
Research Excellence Framework 2021
Management School
AACSB, AMBA and EQUIS
Graduate Outcomes 2019-20
Graduate careers
School of Mathematics and Statistics
There will always be a place for maths graduates in banking, insurance, pensions, and financial districts from the City of London to Wall Street. Big engineering companies still need people who can crunch the numbers to keep planes in the sky and trains running on time too. But the 21st century has also created new career paths for our students.
Smartphones, tablets, social networks and streaming services all use software and algorithms that need mathematical brains behind them. In the age of ‘big data’, everyone from rideshare apps to high street shops is gathering information that maths graduates can organise, analyse and interpret. The same technological advances have created new challenges and opportunities in cybersecurity and cryptography.
If the maths itself is what interests you, a PhD can lead to a career in research. Mathematicians working in universities and research institutes are trying to find rigorous proofs for conjectures that have challenged pure mathematicians for decades, or are doing the calculations behind major experiments, like the ones running on the Large Hadron Collider at CERN.
What if I want to work outside mathematics?
A good class of degree from a top university can take you far, whatever you want to do. We have graduates using their mathematical training in everything from teaching and management to advertising and publishing.
Management School
We have a dedicated employability team who offer careers support, and can help you to find jobs or placement opportunities, and develop essential skills through workshops with industry experts. You're supported throughout your course and after graduation.
We work with businesses and organisations to ensure the content of our courses are up-to-date and relevant, and that the skills and experience you'll gain meet the demands of future employers
Sheffield University Management School careers
Placements and study abroad
Placement
Study abroad
Fees and funding
Fees
Additional costs
The annual fee for your course includes a number of items in addition to your tuition. If an item or activity is classed as a compulsory element for your course, it will normally be included in your tuition fee. There are also other costs which you may need to consider.
Funding your study
Depending on your circumstances, you may qualify for a bursary, scholarship or loan to help fund your study and enhance your learning experience.
Use our Student Funding Calculator to work out what you’re eligible for.
Visit us
University open days
We host five open days each year, usually in June, July, September, October and November. You can talk to staff and students, tour the campus and see inside the accommodation.
Subject tasters
If you’re considering your post-16 options, our interactive subject tasters are for you. There are a wide range of subjects to choose from and you can attend sessions online or on campus.
Offer holder days
If you've received an offer to study with us, we'll invite you to one of our offer holder days, which take place between February and April. These open days have a strong department focus and give you the chance to really explore student life here, even if you've visited us before.
Campus tours
Our weekly guided tours show you what Sheffield has to offer - both on campus and beyond. You can extend your visit with tours of our city, accommodation or sport facilities.
Apply for this course
Make sure you've done everything you need to do before you apply.
How to apply When you're ready to apply, see the UCAS website:
www.ucas.com
Not ready to apply yet? You can also register your interest in this course.
Contact us
Telephone: +44 114 222 3999
Email: maths.admiss@sheffield.ac.uk
The awarding body for this course is the University of Sheffield.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.
Any supervisors and research areas listed are indicative and may change before the start of the course.