Metadata
Title
MathematicsMMath
Category
undergraduate
UUID
59cc58e3e8d44863806707e62f898af5
Source URL
https://sheffield.ac.uk/undergraduate/courses/2027/mathematics-mmath
Parent URL
https://sheffield.ac.uk/undergraduate/courses/2027
Crawl Time
2026-03-17T04:01:56+00:00
Rendered Raw Markdown

MathematicsMMath

Source: https://sheffield.ac.uk/undergraduate/courses/2027/mathematics-mmath Parent: https://sheffield.ac.uk/undergraduate/courses/2027

2027-28 entry View 2026-27 entry

Mathematics MMath

School of Mathematical and Physical Sciences

Develop your advanced research skills with our MMath Mathematics course. Gain fundamental mathematical knowledge, tailor your degree to your interests and complete a major research project in your final year.

Register for updates

Hide

Register for updates 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

1st in the Russell Group for academic support and assessment and feedback in mathematics

National Student Survey 2025

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.

This four-year MMath Mathematics course will give you the skills, knowledge and research experience needed to solve complex problems in a logical and analytical way.

In your first year you’ll focus on fundamental mathematical concepts. You’ll cover essential topics such as calculus, algebra, modelling and data science. 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 third 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 opportunity to choose from a range of optional modules, such as machine learning or number theory and cryptography.

In your fourth year, you’ll have the freedom to tailor your degree to your interests and aspirations through more in-depth optional modules. Choosing from topics such as medical statistics, financial mathematics and algebraic topology, you’ll gain the knowledge and skills needed to succeed in a variety of careers.

You’ll also gain valuable independent research experience by spending a large part of your final year investigating a real-world or pure maths problem of your choice, working alongside an active researcher who is an expert in your chosen area. You’ll develop valuable project planning, problem solving and software skills. You’ll also learn how to present mathematical, statistical and technical information and gain experience communicating your findings verbally and in writing.

Modules

We're revising the curriculum of the course for this year of entry. Your first year modules are confirmed. For other years of study, the information here gives you an idea of the areas we expect the course to cover, although there may be changes before you begin. As you progress through your course, we’ll confirm additional details for the core and optional modules available to you.

Title: Mathematics MMath course structure\ UCAS code: G103\ Years: 2026, 2027

First year

Second year

Third year

Fourth year

First 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.\ \

**20 credits**

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.

**20 credits**

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.

**20 credits**

Optional modules: A student will 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.

**20 credits**

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.

**20 credits**

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

Second year

In your second year, you’ll continue to build your fundamental knowledge of mathematics, which you’ll apply to increasingly complex problems.

Example core modules:

You’ll also have the opportunity to enhance your knowledge of pure mathematics, applied mathematics and statistics through optional modules covering topics such as algebraic structures, special relativity and stochastic modelling.

Third year

In your third year, you’ll develop your expertise in the areas of mathematics that appeal to you most by choosing a specialist pathway. You can also choose to take our mathematics and statistics project and skills module to either complement or replace one of these pathways.

Pure mathematics pathway example modules:

Applied mathematics pathway example modules:

Probability and statistics pathway example modules:

You’ll have the opportunity to tailor your degree to your interests by choosing from a range of optional modules, including topics such as financial mathematics, machine learning, knot theory, and operations research and game theory.

Fourth year

Core modules:

Mathematics and Statistics Project : This module forms the final part of the SoMaS project provision at Level 4 and involves the completion, under the guidance of a research active supervisor, of a substantial project on an advanced topic in Mathematics or Statistics.  Training is provided in the use of appropriate computer packages for the presentation of mathematics and statistics and guidance on the coherent and accurate presentation of technical information.

**45 credits**

Optional modules: A student will take 75 credits from this group.

Machine Learning : 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.

**15 credits**

Financial Mathematics : 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, and includes a project.

**15 credits**

Further Topics in Mathematical Biology : This module focuses on the mathematical modelling of biological phenomena.  The emphasis will be 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.  Central to the module will be the dynamic consequences of feedback interactions within biological systems.  In cases where explicit solutions are not readily obtainable, techniques that give a qualitative picture of the model dynamics (including numerical simulation) will be used.  If you did not take Scientific Computing at Level 2, you may still be able to enrol on this module, but you will need to obtain permission from the module leader first.

**15 credits**

Advanced Quantum Mechanics : Quantum mechanics at an intermediate to advanced level, including the mathematical vector space formalism, approximate methods, angular momentum, and some contemporary topics such as entanglement, density matrices and open quantum systems. We will study topics in quantum mechanics at an intermediate to advanced level, bridging the gap between the physics core and graduate level material.   The syllabus includes a formal mathematical description in the language of vector spaces; the description of the quantum state in Schrodinger and Heisenberg pictures, and using density operators to represent mixed states; approximate methods: perturbation theory,  variational method and time-dependent perturbation theory;  the theory of angular momentum and spin; the treatment of identical particles; entanglement; open quantum systems and decoherence. The problem solving will provide a lot of practice at using vector and matrix methods and operator algebra techniques. The teaching will take the form of traditional lectures plus weekly problem classes where you will be provided with support and feedback on your attempts.

**15 credits**

Generalised Linear Models : 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 or 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.

**15 credits**

Sampling Theory and Design of Experiments : Whereas most statistics modules are concerned with the analysis of data, this module is focussed on the collection of data. In particular, this module considers how to collect data efficiently: how to ensure the quantities of interest can be estimated sufficiently accurately, using the smallest possible sample size. Three settings are considered: sample surveys (for example when conducting an opinion poll), physical experiments, as may be used in industry, and experiments involving predictions from computer models, where there is uncertainty in the computer model prediction.

**15 credits**

Time Series : This module considers the analysis of data in which the same quantity is observed repeatedly over time (e.g., recordings of the daily maximum temperature in a particular city, measured over months or years). Analysis of such data typically requires specialised methods, which account for the fact that successive observations are likely to be related. Various statistical models for analysing such data will be presented, as well as how to implement them using the programming language R.

**15 credits**

Advanced Particle Physics : The module provides students with a comprehensive understanding of modern particle physics. Focusing on the standard model, it provides a theoretical underpinning of this model and discusses its predictions. Recent developments including the discovery of the Higgs Boson and neutrino oscillation studies are covered. A description of the experiments used to probe the standard model is provided. Finally the module looks at possible physics beyond the standard model.

**15 credits**

Probability with Measure Theory : Probability is a relatively new part of mathematics, first studied rigorously in the early part of 20th century. This module introduces the modern basis for probability theory, coming from the idea of 'measuring' an object by attaching a non-negative number to it. This might refer to its length or volume, but also to the probability of an event happening. We therefore find a close connection between integration and probability theory, drawing upon real analysis. This rigorous theory allows us to study random objects with complex or surprising properties, which can expand our innate intuition for how probability behaves. The precise material covered in this module may vary according to the lecturer's interests.

**15 credits**

Topics in Mathematical Physics : This unit will introduce students to advanced concepts and techniques in modern mathematical physics, in preparation for research-level activities. \ \ It is assumed that the student comes equipped with a working knowledge of analytical dynamics, and of non-relativistic quantum theory.\ \ We will examine how key physical ideas are precisely formulated in the language of mathematics. For example, the idea that fundamental particles arise as excitations of relativistic quantum fields finds its mathematical realisation in Quantum Field Theory. In QFT, particles can be created from the vacuum, and destroyed, but certain other quantities such as charge, energy, and momentum are conserved (after averaging over quantum fluctuations). \ \ We will examine links between conservation laws and invariants, and the underlying (discrete or continuous) symmetry groups of theories. We will also develop powerful calculation tools. For example, to find the rate of creation of new particles in a potential, one must evaluate the terms in a perturbative (Feynman-diagram) expansion.\ \ For details of the current syllabus, please consult the module leader.

**15 credits**

Mathematical Modelling of Natural Systems : Mathematical modelling enables insight into a wide range of scientific problems. This module will provide a practical introduction to techniques for modelling natural systems. Students will learn how to construct, analyse and interpret mathematical models, using a combination of differential equations, scientific computing and mathematical reasoning. Students will learn the art of mathematical modelling: translating a scientific problem into a mathematical model, identifying and using appropriate mathematical tools to analyse the model, and finally relating the significance of the mathematical results back to the original problem. Study systems will be drawn from throughout the environmental and life sciences.

**15 credits**

Further Topics in Number Theory : Elementary number theory has been seen in a number of earlier modules.  To go further, however, additional input is needed from other areas of pure mathematics - analysis and algebra.  For example, the distribution of prime numbers is intricately related to the complex analytic properties of the Riemann zeta function   And one can ask similar questions to those we ask about prime numbers for the rational numbers over, for example, quadratic fields.  This module will treat examples of further topics in number theory, accessible with the aid of advanced mathematical background.

**15 credits**

Bayesian Statistics and Computational Methods : This module develops the Bayesian approach to statistical inference. The Bayesian method is fundamentally different to the approach taken in earlier statistics courses. It is a more general and more powerful approach, and it is widely used, but it relies on modern computers for much of its implementation. It is 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. This course covers the foundations of Bayesian statistics and the incorporation of prior beliefs, as well as computational tools for practical inference problems, specifically Markov Chain Monte Carlo and Gibbs sampling. Computational methods will be implemented using R and Python. Advanced computational techniques will be explored, in the second semester, using STAN.

**30 credits**

Advanced Topics in Algebra A : Algebra is a very broad topic, relating many disparate areas of mathematics, from mathematical physics to abstract computer science.  It was noticed that the same underlying structures arose in a number of different areas, and this led to the study of the abstract structures.  This module studies some of the algebraic structures involved: fields, groups and Galois Theory; rings and commutative algebra, and gives applications to, for example, number theory, roots of polynomials and algebraic geometry.

**30 credits**

Advanced Topics in Algebra B : Algebra is a very broad topic, relating many disparate areas of mathematics, from mathematical physics to abstract computer science.  It was noticed that the same underlying structures arose in a number of different areas, and this led to the study of the abstract structures.  This module studies some of the algebraic structures involved: fields, groups and Galois Theory; rings and commutative algebra, and gives applications to, for example, number theory, roots of polynomials and algebraic geometry.

**30 credits**

Algebraic Topology : This unit will cover algebraic topology, following on from metric spaces. Topology studies the shape of spaces, with examples such as spheres, the Möbius Band, the Klein bottle, the torus and other surfaces. The first task is to formalise the notion of space, and to work out when a given space can be continuously deformed into another, where stretching and bending is allowed, but cutting and glueing is not. Algebraic topology builds a powerful bridge between shapes and algebra, enabling the use of familiar algebraic techniques from linear algebra and group theory to study spaces and their deformations.

**30 credits**

Analytical Dynamics and Classical Field Theory : Newton formulated his famous laws of mechanics in the late 17th century. Later, mathematicians like Lagrange, Hamilton and Jacobi discovered that underlying Newton's work are wonderful mathematical structures. In the first semester we discuss this work, its influence on the subsequent formulation of field theory, and Noether's theorem relating symmetries and conservation laws. In the second semester, Einstein's theory of gravity, General Relativity, will be introduced, preceded by mathematical tools such as covariant derivatives and curvature tensors. Einstein's field equations, and two famous solutions, will be derived. Two classic experimental tests of General Relativity will be discussed.

**30 credits**

Stochastic Processes and Finance : Stochastic processes are models that reflect the wide variety of unpredictable ways in which reality behaves. In this course we study several examples of stochastic processes, and analyse the behaviour they exhibit. We apply this knowledge to mathematical finance, in particular to arbitrage free pricing and the Black-Scholes model.

**30 credits**

Medical Statistics : This module introduces an important application of statistics: medical research, specifically, the design and analysis of clinical trials. For any new drug to be approved by a regulator (such as the Medicines and Healthcare products Regulatory Agency in the UK) for use on patients, the effectiveness of the drug has to be demonstrated in a clinical trial. This module explains how clinical trials are designed and how statistical methods are used to analyse the results, with a particular focus on 'survival' or 'time-to-event' analysis.

**15 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 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 an alternative offer - find out if you're eligible.

Standard offer

The A Level entry requirements for this course are:\ AAA \ including Maths

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

T Level : 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

Other requirements

Access Sheffield offer

The A Level entry requirements for this course are:\ AAB \ including A in Maths

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 : 34, with 6 in Higher Level Maths

BTEC Extended Diploma : DDD in Engineering with Distinctions in all Maths units

BTEC Diploma : DD + A in A Level Maths

T Level : Not accepted

Scottish Highers + Advanced Higher/s : 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 12 Maths units), and 9 at Merit

Routes for mature students

Other requirements

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

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:

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.

School of Mathematical and Physical Sciences

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.

School of Mathematical and Physical Sciences

University rankings

A world top-100 university\ QS World University Rankings 2026 (92nd)

Number one in the Russell Group (based on aggregate responses)\ National Student Survey 2025

92 per cent of our research is rated as world-leading or internationally excellent\ Research Excellence Framework 2021

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

20th in the UK targeted by the largest number of Top 100 Employers in 2025-26\ High Fliers 2026

Student profiles

[The course has really made me feel like a mathematician at heart

Harry Tomkins

Undergraduate research experience, \ MMath Mathematics](https://sheffield.ac.uk/mps/undergraduate/maths-student-profiles/harry-tomkins)

Fees and funding

Fees

Tuition fees

Fee status help

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.

Examples of what’s included and excluded

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 four-year course to a five-year Degree with Placement Year.

A placement year will help you to:

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.

Visit

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 weekly Sheffield Live online sessions to find out more about different aspects of University life.

Sheffield Live online events

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

Apply

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

School of Mathematical and Physical Sciences

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

2027-2028

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.

Develop your advanced research skills with our MMath Mathematics course. Gain fundamental mathematical knowledge, tailor your degree to your interests and complete a major research project in your final year.

No No No No Course description Modules Learning and assessment Entry requirements Graduate careers Department University rankings Student profiles Fees and funding Placements and study abroad Extra info box