Financial Mathematics

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https://sheffield.ac.uk/undergraduate/courses/2027/financial-mathematics-bsc

https://sheffield.ac.uk/international/entry-requirements/hong-kong

https://www.sheffield.ac.uk/undergraduate/apply/english-language

The A Level entry requirements for this course are:

including Maths

Other requirements

We will give your application additional consideration if you have passed the Sixth Term Examination Paper (STEP), STEP 2 or STEP 3, at grade 3 or above. We do not consider STEP results in place of a third A Level

English language requirements |

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

Financial Mathematics BSc | Undergraduate study | The University of Sheffield

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Undergraduate study

2027-28 entry

Financial Mathematics BSc

School of Mathematical and Physical Sciences

Develop an understanding of the tools, principles and practices of the finance industry with our BSc Financial Mathematics course. Gain the numerical skills and specialist knowledge needed for a career in finance.

A Levels

UCAS code

Duration

Start date

September

Attendance

Full-time

Course fee

Funding available

Optional placement year

Study abroad option

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Course description

Why study this course?

Top 10 in the UK for mathematics

The Times and Sunday Times Good University Guide 2026

Triple crown accredited management school

The Management School is a leading business school with Triple Crown accreditation (AACSB, AMBA and EQUIS).

Top 3 in the Russell Group for academic support, organisation and management, and student voice in economics

National Student Survey 2026

Opt to spend a full year on a work placement

Test out a career path, build up your CV and grow your network of contacts.

This three-year BSc Financial Mathematics course will give you the understanding of the principles and practices of the finance industry.

Through this course, which is jointly delivered by the School of Mathematical and Physical Sciences, School of Economics and Management School, you’ll gain numerical skills and specialist financial knowledge.

In your first year you’ll explore fundamental mathematical and financial concepts. You’ll cover essential topics such as calculus, algebra and data science; develop programming skills using Python and R; and learn to present your work using LaTeX.

In addition to core mathematics modules, you’ll choose to take either an economics or management pathway, which you will stay on for the remainder of your degree.

In your second year you’ll develop your mathematical skill-set further. You’ll also examine more advanced topics in economics or management, such as microeconomics, macroeconomics, financial management and corporate finance.

In your final year you’ll continue to explore key topics in financial mathematics, applying your knowledge to increasingly complex problems.

Whether you want a job in banking, insurance or accountancy, you’ll be able to tailor your degree to your career goals. You’ll have the freedom to explore a range of more in-depth modules, equipping you with the skills and knowledge needed to succeed in a variety of careers.

A selection of modules are available each year - some examples are below. There may be changes before you begin your studies. As you progress through your course, we’ll confirm additional details for the core and optional modules available to you.

Choose a year to see modules for a level of study:

Title: Financial Mathematics BSc course structure

UCAS code: GN13

First year

Second year

Third year

First yearFirst year

Core modules:

Introduction to University Mathematics

This core module is designed to consolidate A-level material and explore topics in mathematics that you'll use throughout your degree. You'll also be introduced to core skills, such as mathematical literacy, communication and problem-solving.

Throughout this module you'll develop a strong foundation in core mathematics. You'll consider techniques for solving equations, special functions, calculus, vectors, complex numbers, and finite and infinite series.

20 credits

Geometry, Matrices and Multivariate Calculus

This core module is designed to further develop your knowledge of the core mathematics you'll use across your degree.

You'll learn about two-dimensional coordinate geometry, discussing the theory of matrices geometrically and algebraically. You'll also define and evaluate derivatives and integrals for functions that depend on more than one variable, with an emphasis on functions of two variables.

Throughout this module you'll continue to develop your employability skills, exploring the career options open to mathematics graduates. You'll also work with your coursemates to undertake a group project on sustainability.

Probability and Data Science

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.

Computing and Analysis

This module collects together a number of the most useful topics for future modules in financial mathematics. The first semester will cover some computing, using Python to write simple programmes and LaTeX to write mathematical documents. The second semester is given to analysis, a branch of pure mathematics with applications in financial mathematics. The two semesters are independent of each other.

As well as maths modules, you'll choose 40 credits (two modules) from either an economics pathway or a management pathway.

Economics pathway:

Microeconomic Analysis and Policy

This module introduces you to the fundamental principles of microeconomic theory, focusing on the behaviour and decision-making processes of individuals, households, and firms. You will gain a solid understanding of key microeconomic concepts, such as choice theory, market structures, consumer behavior, and firm decision-making. The module explores the practical application of microeconomic analysis to contemporary policy issues. This module provides you with the foundations in microeconomics required for advanced study.

Macroeconomic Analysis and Policy

This module introduces you to the foundations of macroeconomic theory and analysis. You will explore how economies operate at the aggregate level and develop the analytical tools needed to understand key economic indicators such as interest rates, national output, inflation, unemployment, and exchange rates. A central focus will be on understanding how these variables interact and influence one another over the short and long run. Through real-world examples and policy applications, you will learn how macroeconomic analysis informs and shapes economic decision-making and policy evaluation in both national and global contexts. Topics covered will include the determination of output and employment and the role of fiscal and monetary policy. By the end of this module, you will be equipped to evaluate the effectiveness of monetary and fiscal policies and understand the complex dynamics shaping economic outcomes in national and global contexts.

Management pathway:

Foundations in Financial Management

In this module, you will develop a solid foundation in financial management, equipping you with the knowledge and analytical skills needed to make informed financial decisions. You will explore key principles, theories, and techniques used in the field, and learn how to apply them through relevant calculations and real-world scenarios. You will also examine contemporary issues and developments in the financial markets, helping you understand the broader context in which financial decisions are made. This module is designed to prepare you for more advanced study in years 2 and 3 and is aligned with the foundation-level content of professional accounting qualifications.

Introduction to Management Accounting

This module introduces you to the core techniques of Management Accounting, with a focus on its application in business decision-making, financial planning, and performance evaluation. You will develop an understanding of key concepts such as cost classification, budgeting, costing methods, and capital investment appraisal. The module highlights the role of the management accountant in providing valuable insights through cost analysis, supporting both short- and long-term decisions, and enhancing organisational performance through behavioral and responsibility accounting. Additionally, you will explore the integration of management accounting with social, environmental and sustainability indicators, and their impact on both financial and non-financial outcomes, ensuring that future decisions align with sustainable business practices.

Second yearSecond year

Core Mathematics I

Linear algebra and calculus are fundamental to most advanced work in pure and applied mathematics and to much of statistics.

This module will provide you with basic tools and techniques from linear algebra and calculus. You'll also develop an understanding of the theory underpinning these, enabling you to use these methods in a variety of situations beyond the module.

Building on your first year, you'll also continue to develop employability skills throughout this module.

Core Mathematics II

This module will develop your understanding of theory covered in first year modules.

You'll explore analysis, which underpins core concepts across the mathematical sciences. You'll examine why familiar tools, like differentiation and integration, actually work, allowing us to prove their formal properties. This rigorous foundation in analysis will enable you to tackle more complex problems in the future.

You'll extend your understanding of ideas from calculus to higher dimensions, considering differentiation of functions of many variables as linear transformations.

You'll also have opportunities to reflect on social, ethical, and historical aspects of mathematics, enriching your understanding of the importance of mathematics in the modern world.

Statistical Inference and Modelling

Statistical inference and modelling are at the heart of data science, a field of rapidly-growing importance in the modern word. This module develops methods for analysing data, and provides a foundation for further study of probability and statistics at higher Levels. You will learn about a range of standard probability distributions beyond those met at Level 1, including multivariate distributions. You will learn about sampling theory and summary statistics, and their relation to data analysis. You will discover how to parametrise various types of statistical model, learn techniques for determining whether one model is 'better' than another for understanding a dataset, and learn how to ascertain how good a statistical model is at explaining trends in data. The software package R will be used throughout.

Stochastic Modelling

This module examines stochastic processes. These are models of natural and physical processes that incorporate randomness, to reflect the way that life can change unpredictably over time.

You'll explore a number of general models for processes where the state of a system is fluctuating randomly. This might include the length of a queue, the size of a reproducing population, or the amount of payouts on insurance policies.

You'll learn various techniques for the analysis of these models, preparing you for further study of stochastic processes and probability in later years.

Econometrics

This module is designed to give you an introduction into the econometric skills you will need for a successful career in applied economic research. Throughout this module, you will build a strong foundation in interpreting econometric outputs, crucial for understanding academic literature and policy reports. You will learn fundamental theoretical knowledge, such as ordinary least squares, supported by economic intuition and mathematical reasoning. You will learn statistical software, gaining an understanding of reproducible coding, in order to develop and apply such skills to answer economic research questions by analysing real-world data using appropriate statistical and econometric techniques. This process will also introduce you to ethical research practices. This module will train you in the core competencies you need to perform rigorous econometric and economic research.

Intermediate Microeconomics

This module builds on Level 1 modules in microeconomics and mathematical economics, using the mathematical training to allow a more rigorous investigation of the principles of microeconomics. It aims to develop an understanding and ability to undertake economic analysis of models of the behaviour and interaction of economic agents (consumers, firms and government) in a market economy, the functioning of different types of industries, decision making under uncertainty and economic welfare.

Intermediate Macroeconomics

The aims of this course are to provide firm grounding in the analytical tools of modern macroeconomics; to use these tools to understand critically the conduct of economic policy nationally and internationally. The course builds on level 1 modules in macroeconomics. The main subject areas covered are: Basic macroeconomic models: consumption/leisure choice, closed economy one period-macro models, models of search and unemployment; Savings, investment and government deficits: consumption/savings choice (two-period model), credit market imperfections, real intertemporal model with investment; Money and business cycles: flexible price models, New Keynesian economics (sticky prices), inflation; International macroeconomics: international trade, money in open economy; Economic growth: Malthus and Solow growth models, convergence, endogenous growth model.

Financial Management

This module aims to provide knowledge and understanding of key management issues in corporate finance with a focus on a broad range of issues including corporate investment and the financing of such investments. Students will critically assess various analytical techniques in relation to specific corporate finance applications and develop a knowledge of key board-level considerations.

The function of financial management is the acquisition and use of funds for investment purposes. Thus, this unit focuses on ways of raising and deploying investment finance, the institutions involved, and the tools and techniques that are used when making financial decisions. Financial decisions are not isolated from the rest of society, so the module also considers perspectives on the relationship between finance and society and the prospective impact of financial decisions on other parties.

Corporate Finance: Strategy, Digitalisation and Impact

This advanced module is designed for students seeking to specialise in finance. You will build upon foundational principles of financial management to develop a rigorous understanding of the theories and practices central to modern corporate finance. You will gain a robust foundation for subsequent advanced study and develop the ability to analyse the complex financial landscape in which firms operate, with particular emphasis on digital tools and strategic decision-making. You will focus on firm-level financial decision-making and its strategic impact. You will examine advanced theories and analytical techniques related to company valuation, investment appraisal, and the determination of optimal capital structure and dividend policy. In addition, you will investigate the impact of contemporary issues, such as asymmetric information, on firm strategy and valuation. Digitalisation and practical application are central to your learning experience. You will develop proficiency in industry-standard digital tools, including MS Excel for financial modelling and analysis, PowerPoint for the professional presentation of financial insights, and the Bloomberg Terminal for financial data extraction and market intelligence. Through hands-on engagement with these platforms, you will learn to translate complex theoretical models into actionable financial insights using real-world data and real-life case studies. Strong emphasis is placed on applying theoretical frameworks to address practical financial problems. Through the analysis of contemporary case studies and business scenarios in collaborative group settings, you will develop key capabilities in financial modelling, data-driven decision-making, and professional communication. This applied approach, combined with the development of digital literacy, will strengthen the essential competencies required for a career in finance, including rigorous analytical reasoning, strategic thinking, proficiency with financial technology platforms, and the effective communication of complex financial information to diverse stakeholders.

Third yearThird year

Mathematical and Physical Sciences Projects and Professional Skills

Through this module you'll hone the skills and knowledge required of a graduate-level professional.

You'll undertake extended project work, which will include relating project work to the literature, setting project aims and objectives, planning and carrying out the work, and reporting it using disciplinary conventions.

You'll investigate how your academic studies relate to either research, society, or industry. You'll develop an understanding of where your degree could lead you and reflect on your career ambitions.You'll also undertake activities to develop the professional skills needed to complete applications for employment or further study.

40 credits

Medical and Actuarial Statistics

This module covers statistical ideas that are important in medicine and the actuarial sector.

You'll learn about the design and statistical analysis of clinical trials used to license new drugs. These trials have their own distinct methodology, due to ethical and regulatory constraints involved in experimentation on human subjects.

You'll develop an understanding of survival analysis, which involves analysing 'time-to-event' data. An example of this could include how long an individual lives and the factors that may increase or decrease life expectancy.

You'll also explore statistical methods with actuarial applications, such as extreme value theory (EVT), which considers the likelihood and magnitude of rare events.

Throughout the module you'll implement statistical methodologies using packages in the programming language R.

Stochastic Processes and Finance

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.

As well as core maths modules, you'll take 40 credits (two modules) from economics, management or mathematics.

Economics:

Advanced Microeconomics

In this module you will further your understanding of core microeconomic principles by exploring a number of advanced topics in microeconomics. The course material you will encounter will be predominately theoretical with a substantial mathematical component and some evaluation of empirical evidence. Indicative topics include: auctions; decision making under uncertainty; dynamic efficiency; imperfect competition and common ownership; matching and assignment.

Further Econometrics

It is essential for you as an economist to understand and be able to apply econometric techniques because it will allow you to rigorously analyse data to test economic theories, measure real-world effects, and produce credible evidence to inform decisions and policy. In this module you will study a number of advanced topics in econometrics. In the first half of the module you will learn how to implement recent developments in time series econometrics. In the second half of the module you will learn how to model microeconometric outcomes using cross-section and panel data techniques. The module will have a strong practical element and you will learn how to use relevant econometric computer packages. This module will be particularly useful if you are interested in how to test economic theories and/or model economic behaviour.

Advanced Macroeconomics

In this module you will explore modern macroeconomic theory and its application to key economic challenges facing policymakers and society. The module is framed within the dynamic general equilibrium (DGE) tradition that underpins much contemporary research and policy analysis, providing a coherent framework for understanding aggregate behaviour and policy design.

You will begin by building a benchmark DGE model, using it to learn how such models are constructed, solved, and interpreted. You will then extend this framework to study issues such as macroeconomic uncertainty, pandemics and policy responses, ageing and pension sustainability, inequality and redistribution, secular stagnation, unconventional monetary policy, and the government expenditure multiplier.

By the end of the module, you will will be able to analyse macroeconomic policy debates using modern theoretical tools and communicate policy-relevant insights.

Modern Finance

This module introduces the core principles of finance and develops your ability to apply them in both corporate and investment contexts. Using an analytical approach, with key ideas developed from foundational principles, it examines risk and return, portfolio theory, the Capital Asset Pricing Model, and the associated empirical evidence. It also explores corporate financing decisions, especially capital structure, leverage, firm value, and financial risk. Further topics include market efficiency, behavioural finance, and the use of derivatives in risk management. By engaging with readings, quizzes, and class discussion, you will build both conceptual understanding and the ability to evaluate the applications and limitations of financial theories, with emphasis on critically evaluating competing views on asset pricing, investors' behaviour, and financial decision-making.

Management:

Advances in Corporate Finance

This advanced-level module provides a rigorous and comprehensive foundation in modern corporate finance and asset pricing theory. It explores a range of sophisticated topics central to financial decision-making within firms and the functioning of capital markets. Key themes include debt and equity financing, financing and investment decisions under asymmetric information, managerial incentives and executive compensation, mergers and acquisitions, and the interplay between market efficiency and behavioural biases. In addition to these core areas, the module examines the pricing and strategic use of financial derivatives, such as forward and futures contracts, options, warrants, and convertible securities in corporate settings. You will engage with both classical theories and contemporary empirical debates, cultivating the analytical and critical thinking skills required to assess complex corporate financial decisions and navigate dynamic financial environments.

Financial Derivatives

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.

Mathematics:

Bayesian and Computational Inference

This module will develop your understanding of the Bayesian approach to statistical inference, which is fundamentally different to the approach taken in earlier statistics modules.

The Bayesian method is more general and more powerful. While widely used, it relies on modern computers for much of its implementation. It's based on the idea that if we take a (random) statistical model, and condition this model on the event that it generated the data that we actually observed, then we will obtain a better model.

Through this module, you'll explore the foundations of Bayesian statistics and the incorporation of prior beliefs. You'll study the computational tools important in modern applied statistics, including those important for Bayesian inference such as Markov Chain Monte Carlo. You'll also learn to implement computational methods using R and Python.

Time Series and Generalised Linear Models

This module introduces two important areas of modern statistics.

Time series are observations made in time, for which the time aspect is potentially important for understanding and use. You'll be introduced to modern methods of time series analysis and forecasting, as applied in economics and finance, environmental sciences, medical and social sciences. You'll gain practical techniques for data analysis and a firm basis for practical modelling.

Generalised linear models extend linear models, such as regression-type models, in order to accommodate non-normal (non-Gaussian) observations. Through this module, you'll be introduced to generalised linear models and explore inference, including model building and goodness of fit.

You'll also learn to implement computational methods using a programming language such as R.

Game Theory and Optimisation

In this module, you'll study two topics in operations research, which involve developing strategies to make decisions about the optimal ways to respond to certain situations.

You'll explore game theory, learning about optimal responses to competitive situations.

You'll also study optimisation, by finding and analysing optimal solutions to certain kinds of mathematical problems.

Through this module, you'll develop an understanding of strategies with far-reaching applications, from engineering and computing to economics and business management.

Machine Learning

This module provides a practical toolkit for modelling and understanding complex datasets by integrating modern AI tools.

Bridging computer science, statistics, and physics, you'll learn to implement industry-standard algorithms, from linear models to deep neural networks, using Python and modern libraries like Keras and scikit-learn.

You'll not only learn to code, but also effectively co-pilot with AI agents for debugging and code generation, preparing you for the future of technical work.

We'll focus on intuition and implementation. You'll learn to understand when to use a method, how to implement it, and why it works, enabling you to solve real-world problems in science, finance, and business.

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 will inform students and take reasonable steps to minimise disruption.

Learning and assessment

Learning

To make sure you get the skills and knowledge that every mathematician needs, you’ll learn through lectures, small group tutorials and problems classes, and research projects. Some modules also involve programming classes.

We invest to create the right environment for you. That means outstanding facilities, study spaces and support, including 24/7 access to our online library service.

Study spaces and computers are available to offer you choice and flexibility for your study. Our five library sites give you access to over one million books and periodicals. You can access your library account and our rich digital collections from anywhere on or off campus. Other library services include study skills training to improve your grades, and tailored advice from experts in your subject.

Learning support facilities and library opening hours

Assessment

You’ll be assessed in a variety of ways, depending on the modules you take. This could include examinations, quizzes, coursework, projects, presentations, and participation in tutorials.

Entry requirements

With Access Sheffield, you could qualify for additional consideration or a contextual offer - find out if you're eligible.

Standard offer

Access Sheffield offer

A Levels + a fourth Level 3 qualification

AAB, including A in Maths + A in a relevant EPQ; AAB, including A in Maths + B in A Level Further Maths

International Baccalaureate

36, with 6 in Higher Level Maths; 34, with 6 in Higher Level Maths, and A in the Extended Essay

BTEC Extended Diploma

D*DD in Engineering with Distinctions in all Maths units

BTEC Diploma

DD + A in A Level Maths

Not accepted

Scottish Highers + Advanced Higher/s

AAAAB + A in Maths

Welsh Baccalaureate + 2 A Levels

A + AA, including Maths

Access to HE Diploma

Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 39 at Distinction (to include 12 Maths units), and 6 at Merit

Routes for mature students

including A in Maths

34, with 6 in Higher Level Maths

DDD in Engineering with Distinctions in all Maths units

AAABB + A in Maths

B + AA, including Maths

Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 36 at Distinction (to include 12 Maths units), and 9 at Merit

Equivalent English language qualifications

Visa and immigration requirements

Other qualifications | UK and EU/international

Pathway programme for international students

If you're an international student who does not meet the entry requirements for this course, you have the opportunity to apply for an International Foundation Year in Business, Social Sciences and Humanities or Science and Engineering at the University of Sheffield International College. These courses are designed to develop your English language and academic skills. Upon successful completion, you can progress to degree level study at the University of Sheffield.

If you have any questions about entry requirements, please contact the school.

Graduate careers

You won’t be short of career options with a degree in mathematics from Sheffield. Our courses are designed to give you the skills that will help you succeed. Employers hire our graduates because of their ability to analyse problems and reach a solution in a clear, precise and logical way.

A mathematics degree from Sheffield can take you far, whether you want a job that involves doing lots of complex calculations or one where you help to find the best solutions to real-world problems.

Strong mathematical skills open all kinds of doors, including:

Finance and banking

Data science and consultancy

Computing and software development

Public sector roles in healthcare and government

Teaching

Our graduates have gone on to work for companies such as Aviva, Dell, Deloitte, Goldman Sachs, HMRC, IBM, KPMG, NatWest, the NHS, PwC and Sky.

Many of our graduates also choose to pursue a career in research and go on to do PhDs at some of the world's top 100 universities.

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 and employability support

School of Economics

Many of our graduates now work as professional economists in government, industry and the third sector. We also have students successfully enter related professions, such as banking, insurance, accountancy, sales and management.

Some of our most recent graduates are now working for the Bank of England, HM Treasury, the European Parliament, PwC, Deloitte, IBM and Rolls Royce. Additionally, we have students who continue to study economics at postgraduate level either here in Sheffield or at other world-renowned institutions.

Department statistics

96 per cent of our mathematical sciences research is rated as world-leading or internationally excellent

Research Excellence Framework 2021

The School of Mathematical and Physical Sciences is leading the way with groundbreaking research and innovative teaching.

Our mathematicians and statisticians have expertise across pure mathematics, applied mathematics, probability and statistics. We focus on a variety of topics, from the most abstract questions in number theory to the calculations helping to understand climate change.

To help our students feel part of a community, the Sheffield University Mathematics Society, SUMS, organise activities ranging from charity fundraisers to nights out. Our students can also take part in problem-solving sessions, the Sheffield Space Initiative, an LGBT+ support group, and a crafts group.

Mathematics and statistics students are based in the Hicks Building, which has classrooms, lecture theatres, computer rooms, study spaces and social spaces.

We are a world leading management 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 management 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 of our academics 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 the right work experience for you.

You'll be taught by some of the top economic experts in their field and receive the latest cutting-edge teaching from people who care passionately about their subject.

Our staff advise government departments in the UK such as the Department for Work and Pensions, the Department for Education, as well as advisory bodies such as the Low Pay Commission. Their research helps shape government policies and aims to improve people's lives. This research also informs what you will be taught in your modules.

We also have regular visiting speakers, including Dr Swati Dhingra, Professor Dame Diane Coyle, Torsten Bell and Professor Stephen Machin.

University rankings

A world top-100 university

QS World University Rankings 2027 (82nd)

Number one in the Russell Group for student voice

92 per cent of our research is rated as world-leading or internationally excellent

University of the Year for Student Experience

The Times and The Sunday Times Good University Guide 2026

Number one Students' Union in the UK

Whatuni Student Choice Awards 2024, 2023, 2022, 2020, 2019, 2018, 2017

Number one for Students' Union

StudentCrowd 2025 University Awards

7th best University for Work Experience

Higherin 2026-27

Student profiles

Financial Mathematics is a great choice if you enjoy problem-solving

Shreyan Ghosh

Undergraduate research experience,

BSc Financial Mathematics

Fees and funding

We have a fixed fee guarantee in place for undergraduate overseas students, meaning that your tuition fee will not increase during your studies. Tuition fees for undergraduate home students may increase during your studies in line with our Terms and Conditions upon Acceptance of an Offer policy.

Tuition fees

Fee status help

Additional costs

The annual fee for your undergraduate 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. These costs may increase due to price increases outside of the University’s control, if you defer entry or if you choose to change course.

Examples of what’s included and excluded in undergraduate fees

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.

£2,500 per year scholarships for international students

We're offering automatic scholarships worth up to £10,000 to overseas fee-paying students starting their studies in September 2026 - no additional application required.

Placements and study abroad

Placement

You may have the opportunity to add an optional placement year as part of your course, converting the three-year course to a four-year Degree with Placement Year.

A placement year will help you to:

gain an insight into possible careers

develop a range of transferable skills

build a professional network

get a feel for what you do and don’t like doing

add valuable work experience to your CV

gain experience of applying for jobs and interview practice

apply elements of academic learning in the workplace

Our students have secured placements with a range of organisations, including Dyson, Deloitte, the Department for Work and Pensions, Jaguar Land Rover, Morgan Stanley, Network Rail, RSM, and the House of Commons.

Research experience

Develop your research skills through the Sheffield Undergraduate Research Experience (SURE) and Undergraduate Research Internship (UGRI) schemes. These initiatives give students the opportunity to gain paid research experience over the summer, working with an academic in one of our research groups on the SURE scheme or a PhD student on the UGRI scheme.

Study abroad

Spending time abroad during your degree is a great way to explore different cultures, gain a new perspective and experience a life-changing opportunity that you will never forget.

You can apply to extend this course with a year abroad, usually between the second and third year. We have over 250 University partners worldwide. Popular destinations include Europe, the USA, Canada, Australia, Singapore and Hong Kong.

Find out more on the Global Opportunities website.

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.

Open days: book your place

Online events

Join our online information sessions to find out more about different aspects of University life.

Online information sessions

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.

Upcoming taster sessions

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.

Campus tour: book your place

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

Start a conversation with us – you can get in touch by email, telephone or online chat.

Contacts for prospective students

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.

Our student protection plan

Terms and Conditions upon Acceptance of an Offer

Department

Extra info box

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院校只公布範圍；競爭較大科目可能要求更高成績，請向院校確認

競爭較大的課程可能要求更高；請向院校確認。