Mathematics

取得日期：未有保存

https://sheffield.ac.uk/undergraduate/courses/2027/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

Mathematics BSc | Undergraduate study | The University of Sheffield

Skip to main content

Search sheffield.ac.uk

Close menu ×

Undergraduate study

2027-28 entry

Mathematics BSc

School of Mathematical and Physical Sciences

Tailor your degree to your interests and career goals with our BSc Mathematics course. Explore the topics that are important to you and gain the fundamental knowledge that every mathematician needs for a successful career.

A Levels

UCAS code

Duration

Start date

September

Attendance

Full-time

Course fee

Funding available

Optional placement year

Study abroad

Visit us

Register for updates

Apply for this course

Chat to a student

Explore this course:

Course description

Why study this course?

Top 10 in the UK for mathematics

The Times and Sunday Times Good University Guide 2026

2nd in the Russell Group for student voice in the subject of mathematics

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.

Summer research placements

Gain paid research experience through the Sheffield Undergraduate Research Experience or Undergraduate Research Internship schemes.

Through this three-year BSc Mathematics course you will develop the mathematical knowledge and advanced problem-solving skills needed to tackle some of the most intriguing maths problems.

In your first year you’ll focus on fundamental mathematical concepts. You’ll cover essential topics such as calculus, algebra, modelling and data science. Plus, you’ll hone your problem solving abilities, develop programming skills using Python and R, and learn to present your work as a professional mathematician using LaTeX.

In your second year you’ll develop your skill set further. In addition to core modules, you’ll have the chance to explore the areas of mathematics that are important to you, through optional modules covering topics such as algebraic structures, special relativity and stochastic modelling.

The final year of your degree is yours to shape through either a pure mathematics, applied mathematics, or probability and statistics pathway. You can choose to complement or replace one of these pathways with our mathematics and statistics project and skills module.

You’ll also have the freedom to explore different areas of mathematics through more in-depth optional modules on topics such as machine learning, number theory and cryptography, and financial mathematics. You’ll tailor your degree to your interests and aspirations, gaining 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: Mathematics BSc course structure

UCAS code: G100

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.

Foundations of Pure Mathematics

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.

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.

Optional modules:

You'll take 40 credits (two modules) from this group.

Mathematical Investigation Skills

This module introduces topics which will be useful throughout students’ time as undergraduates and in employment. These skills fall into two categories: computer literacy and presentation skills. One aim of this module is to develop programming skills within Python to perform mathematical investigations. Students will also meet the typesetting package LaTeX, the web design language HTML, and Excel for spreadsheets. These will be used for making investigations, and preparing reports and presentations into mathematical topics.

Mathematical modelling

Mathematics is the language of science. By framing a scientific question in mathematical language, it is possible to gain deep insight into the empirical world. This module aims to give students an appreciation of this astonishing phenomenon. It will introduce them to the concept of mathematical modelling via examples from throughout science, which may include biology, physics, environmental sciences, and more. Along the way, a range of mathematical techniques will be learned that tend to appear in empirical applications. These may include (but not necessarily be limited to) difference and differential equations, calculus, and linear algebra.

You can also select 20 credits of Languages for All modules.

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.

Differential equations

Differential equations are perhaps the most important tool in applied mathematics. They are foundational for modelling all kinds of physical and natural phenomena, including fluids and plasmas, populations of animals or cells, cosmological objects (via relativity), subatomic particles (via quantum mechanics), epidemics, even political and social opinions have been modelled using differential equations. This module will build on the tools learned at Level 1 for analysing differential equations, extending them in a variety of ways. This may include topics such as bifurcation analysis, partial differential equations (which are particularly valuable for modelling things that vary in both space and time), and the effects of boundaries on the dynamics of differential equations. it will provide the foundation for essentially all applied maths modules taught at Levels 3 and 4.

This module will further develop your understanding of abstract algebra. The theory of groups, met at Level 1, will be developed in more generality, with further theory as well as applications to combinatorial problems.

You'll also meet the abstract concepts of rings and fields. A ring is similar to a group, but where we have two operations, of addition and multiplication, like the integers, while a field also has a division operation. You'll see concrete examples of both, realising that a number of particular situations you've previously encountered are examples of this more general concept, and that results you've seen before are examples of abstract results that hold in wider generality. Finally, you will see that the results about vectors that you have seen in core modules can be generalised to the setting of vector spaces over arbitrary fields.

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.

Dynamics, Fluids and Relativity

This module builds on first-year mathematical modelling. You'll develop sophisticated models of the universe, grow your skills with vectors and calculus for two or more variables, and learn to translate physical phenomena into solvable mathematical equations.

You'll explore the motion of point particles in two dimensions and rigid body rotation. Using Newton's laws, you'll study the power of vectors, and explore the consequences of the conservation of energy and angular momentum in orbital dynamics.

You'll investigate fast-moving bodies and the speed of light, re-imagine classical concepts of absolute time and space, and explore the radical implications of time dilation and length contraction.

You'll study continuous systems, such as fluids and electromagnetic fields. By applying mass conservation and momentum balance, you'll derive the equations governing the behavior of ideal fluids.

Scientific Data Processing and Python

This module further develops practical programming and data analysis using Python.

You'll learn to select and apply suitable Python functions and libraries, develop efficient programming workflows, and perform statistical analysis on data sets of varying sizes.

We'll focus on fitting complex models, interpreting results, and evaluating analytical reliability. You'll also gain experience assessing and integrating external Python code, and build the skills to adapt, reuse, and document code responsibly.

Third yearThird year

Core module:

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

You'll take 80 credits (four modules) from this group

Metric Spaces, Topology and Measure

This module will explore how the notion of the metric allows measuring distances on sets of functions, matrices, or even graphs and networks.

You'll learn to generalise the concepts of convergence and continuity. You'll see how this theory has far-reaching implications, from existence of solutions to differential equations, to equilibria in financial markets.

You'll study open, closed, and compact sets, first relying on metrics, before exploring how objects can be defined in the more general setting of a topological space. You'll also develop an understanding of a consistent theory of 'size' (or volume) and probability.

Through this module, you'll gain the knowledge needed to tackle advanced topics in analysis, while content on topological spaces theory will also prepare you for topics in algebraic topology and differential geometry.

Fields and Galois Theory

The main goal of this module is to prove the wonderful classification of Galois of those polynomials whose roots can be expressed by radicals, that is, in terms of square, cube and higher roots.

You'll first enhance your understanding of fields, met in your second year, with some further theoretical results, such as studying ruler-and-compass constructions, and the classical problems of antiquity: doubling the cube and trisecting an angle. Next, you'll consider extensions of fields, where one field contains another. The Galois group of a field extension is a sort of symmetry group: if the roots of a polynomial can be expressed by radicals, then the Galois group of the field extension containing the roots of the polynomial has to have a particular structure, and you'll see that this is not generally true for quintic polynomials.

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.

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.

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.

Mathematical Physics and Analytical Dynamics

This module will provide a deep dive into the core mathematical tools that we use in physics.

You'll learn how to set up a mathematical model of a physics problem using the variational principle and Lagrangian dynamics, and solve some of the resulting differential equations.

You'll discover how linear finite and infinite dimensional spaces of functions and operators are used in physics, particularly in quantum mechanics but also in other areas of mathematical physics.

You'll also explore how to work with complex functions, which are indispensable for classical and quantum field theories.

Quantum Theory and Electrodynamics

This module develops your understanding of quantum theory from the five postulates to operator algebras, uncertainty relations and entanglement theory.

You'll explore the structure of electrodynamics as a relativistic theory, uncovering a special symmetry called gauge invariance and exploring the behaviour of electromagnetic fields at boundaries and in different materials.

Mathematical Biology

This module focuses on the mathematical modelling of biological phenomena.

You'll learn how to construct, analyse and interpret mathematical models, using a combination of differential equations, scientific computing and mathematical reasoning.

You'll focus on deterministic models based on systems of differential equations. Examples will be drawn from a range of biological topics, which may include the spread of epidemics, predator-prey dynamics, cell biology, medicine, or any other biological phenomenon that requires a mathematical approach to understand.

You'll investigate the dynamic consequences of feedback interactions within biological systems. In cases where explicit solutions are not readily obtainable, you'll learn to use techniques that give a qualitative picture of the model dynamics (including numerical simulation).

Waves and Fluid Dynamics

This module will introduce you to the mathematical ideas used to describe waves and fluids, which play a central role in many physical systems.

You'll explore wave motion in nature, to illustrate wave propagation, dispersion, and energy transport in fluids. You'll consider shock wave solutions to simple nonlinear partial differential wave equations, learning how basic differential equations can be used to model real-life phenomena.

Starting from basic conservation principles, you'll also see how simple mathematical models arise for fluid flows, introducing Euler's equations and Navier-Stokes equations. You'll learn how to identify the dominant physical effects in different situations and choose suitable models.Through this module, you'll develop analytical techniques and modelling skills that are used in applied mathematics and beyond, in areas such as engineering, climate and finance.

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.

Combinatorics and Graph Theory

In this module, you'll investigate the mathematics of combinatorics and graph theory, and use them in a wide range of applications.

Combinatorics is the mathematics of selections and combinations. You'll explore counting and pairing problems from across mathematics, developing a toolbox of techniques to solve problems, such as the inclusion-exclusion principle and binomial coefficients.

Graph theory involves the study of graphs, which are a simple mathematical structure consisting of a collection of points, some pairs of which are joined by lines. You'll develop an understanding of their basic nature and explore how they can be used to illustrate a wide range of situations.

Number Theory and Cryptography

This module will develop your understanding of number theory, which involves the study of integers, primes and equations.

You'll explore topics such as linear and quadratic congruences, Fermat's Little Theorem and Euler's Theorem, the RSA cryptosystem, quadratic reciprocity, perfect numbers, and continued fractions.

You'll also study codes and cryptography. Codes are used to store information reliably, while cryptography is used to transmit information securely.

In addition to the RSA cryptosystem, you'll also see other examples where number theory is used in the construction of cryptographic protocols.

Geometry, Knots and Surfaces

This module explores various ways that mathematicians model shapes like curves and surfaces in two and three dimensions.

You'll study differential geometry, considering curves in the plane and surfaces in three-dimensional space as rigid things. You'll look at how we can model how 'curved' they are and learn mathematical notions of curvature. You'll also look at the interplay between geometric intuition of curvature and the formal mathematical definition.

You'll consider knotted curves and surfaces in three-dimensional space as 'floppy' rather than 'rigid' and consider the notion of algebraic invariants (analogous to curvature), which can be used to distinguish shapes. You'll also meet the Jones polynomial of knots and the Euler characteristic of surfaces.

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.

Undergraduate Ambassadors Scheme in Mathematics

This module provides an opportunity for Level Three students to gain first hand experience of mathematics education through a mentoring scheme with mathematics teachers in local schools. Typically, each student will work with one class for half a day every week for 11 weeks. The classes will vary from key stage 2 to sixth form. Students will be given a range of responsibilities from classroom assistant to the organisation and teaching of self-originated special projects. Only a limited number of places are available and students will be selected on the basis of their commitment and suitability for working in schools.

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.

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.

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

This nurturing environment instilled in me a profound appreciation for inquiry and the relentless pursuit of knowledge

Zidong Chen

Undergraduate research experience,

BSc 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.

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

Find an undergraduate course

Similar courses you might be interested in |

2027-28 A-Z

The University of Sheffield

Western Bank

Sheffield

© 2026 The University of Sheffield

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。