Overview


This course allows you to develop a solid grounding in the main branches of mathematics, but with a strong emphasis on statistics. Mathematics is the language of science and is ever-present in all our lives. This course introduces you to core mathematics topics alongside studying statistics to an advanced level, while still giving you the flexibility to explore other areas that interest you.

Statistics underpins a great deal of scientific research and analysis. Statisticians are qualified to collect, analyse and present data in a scientific and objective manner. The work of statisticians is used to ensure correct decisions are made. Statisticians are in demand in both the private and public sectors, in areas such as market research, the NHS, environmental science, forensic science and government statistics. This integrated Masters degree is ideal if you’re considering a career in academia. Graduates of this course also enjoy the same opportunities as those studying for a mathematics degree.

Enhancing your degree

We offer two degree options, Mathematics and Statistics MMath, BSc, a 4 year integrated Masters degree programme, and the Mathematics and Statistics BSc programme, which is a three year course. In most cases, it doesn’t matter which programme you apply for, as both have the same entry requirements and the structure of the first two years is identical.

This course offers you the opportunity to spend a year working in industry or studying at a university abroad, both of which provide valuable experience and help your personal development. The study abroad year replaces the third year of your programme, meaning the length of your programme is still 4 years. The industrial placement scheme adds an additional year to your programme.

Our industrial placement scheme gives you the opportunity to gain work experience in an industry relevant to your degree and interests. Our students often describe this industrial experience as an invaluable part of their degree and one which stands them in good stead for their future careers.

The study abroad year enables you to gain insight into the study of mathematics and statistics at one of our partner universities overseas. Many students have found this to be extremely worthwhile in helping broaden their horizons in terms of learning about a new culture and improving their foreign language skills.

In 2015, the School of Mathematics went through a major refurbishment to provide our students with a variety of new study environments. The School now offers social areas, group study areas, a library and a seminar room, where you can interact with other students, as well as a Research Visitors Centre and a Mathematics Active Learning Lab.

Accreditation


Related courses

Actuarial Mathematics BSc
Economics and Mathematics BSc
Mathematics BSc
Mathematics and Statistics BSc
Mathematics with Finance BSc



Course content: Mathematics and Statistics MMath, BSc

The first year of your course will introduce you to the main branches of mathematics and statistics. You’ll develop a solid understanding of these core areas, which will provide you with the necessary background knowledge you require to explore more advanced topics later in your programme. The wide range of subjects you will explore at this stage allows you to define what areas of mathematics really interest you.

In your second year, you’ll study core modules in analysis, groups and vector spaces, vector calculus, and linear differential equations and transforms. You’ll also study statistical modules covering topical subjects such as environmental statistics, as well as core statistical methods.

During the third and fourth years, at least half your modules will be in statistics, but you have the freedom to study a wide variety of options, including modules from pure and applied mathematics. You’ll also have the chance to study a range of specially devised masters level modules. There is also a project, worth at least a quarter of your final year credit, for which you get to work one-to-one with a member of staff in a specialised area that you’re particularly interested in.

In each year of this degree, up to one sixth of your study (20 credits) can be dedicated to discovery modules - modules taught by Schools across the University that allow you to broaden your learning. Provided they don’t clash with your timetable, you can choose modules in areas such as art, business, education, environment, history, languages, law, music, philosophy, psychology, and more.

Our academic staff have extensive research interests, which is why we are able to offer such a wide choice of up-to-date module options. You will graduate as a multi-skilled mathematician, perhaps with particular expertise in an area of interest or with the training necessary to work in a particular industry.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Year 1

COMPULSORY MODULES

Mathematics 1 25 credits
Mathematics 2 25 credits
Number Systems 15 credits
Sets, Sequences and Series 15 credits
Probability and Statistics I 10 credits
Probability and Statistics II 10 credits
OPTIONAL MODULES

Introduction to Geometry 10 credits
Financial Mathematics 1 15 credits

Year 2

COMPULSORY MODULES

Real Analysis 15 credits
Groups and Vector Spaces 15 credits
Vector Calculus 15 credits
Linear Differential Equations and Transforms 15 credits
Computational Mathematics 10 credits
OPTIONAL MODULES

School Mathematics from an Advanced (Undergraduate) Perspective 10 credits
Rings, Fields and Polynomials 10 credits
Mathematical Logic 1 10 credits
Geometry of Curves and Surfaces 10 credits
Discrete Mathematics 10 credits
Discrete Mathematics with Computation 15 credits
The Mathematics of Music 10 credits
Nonlinear Differential Equations 10 credits
Special Relativity 10 credits
Financial Mathematics 2 10 credits
Financial Mathematics 3 10 credits
Numerical Analysis 10 credits
Numerical Analysis with Computation 15 credits
Fluid Dynamics 1 10 credits
Introduction to Optimisation 10 credits
Calculus of Variations 10 credits
Statistical Methods 10 credits
Statistical Modelling 10 credits
Environmental Statistics 10 credits
Introduction to Markov Processes 10 credits
Survival Analysis 10 credits
Mathematics into Schools 10 credits
Maths at Work 10 credits

Year 3

OPTIONAL MODULES

Parallel Computation 10 credits
Combinatorial Optimisation 10 credits
Graph Algorithms and Complexity Theory 10 credits
Graph Theory: Structure and Algorithms 15 credits
Mathematics Education 10 credits
Introduction to Clinical Trials 15 credits
Geometry of Curves and Surfaces 10 credits
Discrete Mathematics with Computation 15 credits
Numerical Analysis with Computation 15 credits
Calculus of Variations 10 credits
Computational Mathematics 10 credits
Project in Mathematics 20 credits
History of Mathematics 15 credits
Philosophy of Logic and Mathematics 20 credits
Graph Theory 15 credits
Number Theory 15 credits
Groups and Symmetry 15 credits
Proof and Computation 15 credits
Differential Geometry 15 credits
Models and Sets 15 credits
Combinatorics 15 credits
Coding Theory 15 credits
Algebras and Representations 15 credits
Metric Spaces 15 credits
Hilbert Spaces and Fourier Analysis 15 credits
Topology 15 credits
Transformation Geometry 15 credits
Hamiltonian Systems 15 credits
Mathematical Methods 15 credits
Linear and Non-Linear Waves 15 credits
Hydrodynamic Stability 15 credits
Quantum Mechanics 15 credits
Dynamical Systems 15 credits
Nonlinear Dynamics 15 credits
Analytic Solutions of Partial Differential Equations 15 credits
Introduction to Entropy in the Physical World 15 credits
Geophysical Fluid Dynamics 15 credits
Numerical Methods 10 credits
Modern Numerical Methods 15 credits
Discrete Systems and Integrability 15 credits
Actuarial Mathematics 1 15 credits
Actuarial Mathematics 2 15 credits
Cosmology 10 credits
Mathematical Biology 15 credits
Evolutionary Modelling 15 credits
Fluid Dynamics 2 15 credits
Linear Regression and Robustness 15 credits
Statistical Theory 15 credits
Stochastic Financial Modelling 15 credits
Multivariate Analysis 10 credits
Time Series 10 credits
Bayesian Statistics 10 credits
Generalised Linear Models 10 credits
Introduction to Statistics and DNA 10 credits
Linear Analysis 1 20 credits
Philosophy of Logic and Mathematics 20 credits
Advanced Proof and Computation 20 credits
Advanced Differential Geometry 20 credits
Advanced Models and Sets 20 credits
Advanced Coding Theory 20 credits
Fields and Galois Theory 20 credits
Commutative Algebra and Algebraic Geometry 20 credits
Models in Actuarial Science 15 credits
Advanced Hamiltonian Systems 20 credits
Advanced Mathematical Methods 20 credits
Advanced Linear and Nonlinear Waves 20 credits
Advanced Hydrodynamic Stability 20 credits
Advanced Quantum Mechanics 20 credits
Advanced Dynamical Systems 20 credits
Advanced Nonlinear Dynamics 20 credits
Advanced Entropy in the Physical World 20 credits
Advanced Geophysical Fluid Dynamics 20 credits
Advanced Modern Numerical Methods 20 credits
Advanced Discrete Systems and Integrability 20 credits
Advanced Mathematical Biology 20 credits
Advanced Evolutionary Modelling 20 credits
Linear Regression and Robustness and Smoothing 20 credits
Multivariate and Cluster Analysis 15 credits
Time Series and Spectral Analysis 15 credits
Bayesian Statistics and Causality 15 credits
Generalised Linear and Additive Models 15 credits
Statistical Computing 15 credits
Statistics and DNA 15 credits

Year 4

OPTIONAL MODULES

Parallel Computation 10 credits
Combinatorial Optimisation 10 credits
Graph Algorithms and Complexity Theory 10 credits
Graph Theory: Structure and Algorithms 15 credits
Mathematics Education 10 credits
Introduction to Clinical Trials 15 credits
Geometry of Curves and Surfaces 10 credits
Discrete Mathematics with Computation 15 credits
Numerical Analysis with Computation 15 credits
Calculus of Variations 10 credits
Computational Mathematics 10 credits
History of Mathematics 15 credits
Philosophy of Logic and Mathematics 20 credits
Graph Theory 15 credits
Number Theory 15 credits
Groups and Symmetry 15 credits
Proof and Computation 15 credits
Differential Geometry 15 credits
Models and Sets 15 credits
Combinatorics 15 credits
Coding Theory 15 credits
Algebras and Representations 15 credits
Metric Spaces 15 credits
Hilbert Spaces and Fourier Analysis 15 credits
Topology 15 credits
Transformation Geometry 15 credits
Hamiltonian Systems 15 credits
Mathematical Methods 15 credits
Linear and Non-Linear Waves 15 credits
Hydrodynamic Stability 15 credits
Quantum Mechanics 15 credits
Dynamical Systems 15 credits
Nonlinear Dynamics 15 credits
Analytic Solutions of Partial Differential Equations 15 credits
Introduction to Entropy in the Physical World 15 credits
Geophysical Fluid Dynamics 15 credits
Numerical Methods 10 credits
Modern Numerical Methods 15 credits
Discrete Systems and Integrability 15 credits
Actuarial Mathematics 1 15 credits
Actuarial Mathematics 2 15 credits
Cosmology 10 credits
Mathematical Biology 15 credits
Evolutionary Modelling 15 credits
Fluid Dynamics 2 15 credits
Linear Regression and Robustness 15 credits
Statistical Theory 15 credits
Stochastic Financial Modelling 15 credits
Multivariate Analysis 10 credits
Time Series 10 credits
Bayesian Statistics 10 credits
Generalised Linear Models 10 credits
Introduction to Statistics and DNA 10 credits
Assignment in Mathematics (30cr) 30 credits
Assignment in Mathematics (40cr) 40 credits
Linear Analysis 1 20 credits
Philosophy of Logic and Mathematics 20 credits
Advanced Proof and Computation 20 credits
Advanced Differential Geometry 20 credits
Advanced Models and Sets 20 credits
Advanced Coding Theory 20 credits
Fields and Galois Theory 20 credits
Commutative Algebra and Algebraic Geometry 20 credits
Models in Actuarial Science 15 credits
Advanced Hamiltonian Systems 20 credits
Advanced Mathematical Methods 20 credits
Advanced Linear and Nonlinear Waves 20 credits
Advanced Hydrodynamic Stability 20 credits
Advanced Quantum Mechanics 20 credits
Advanced Dynamical Systems 20 credits
Advanced Nonlinear Dynamics 20 credits
Advanced Entropy in the Physical World 20 credits
Advanced Geophysical Fluid Dynamics 20 credits
Advanced Modern Numerical Methods 20 credits
Advanced Discrete Systems and Integrability 20 credits
Advanced Mathematical Biology 20 credits
Advanced Evolutionary Modelling 20 credits
Linear Regression and Robustness and Smoothing 20 credits
Multivariate and Cluster Analysis 15 credits
Time Series and Spectral Analysis 15 credits
Bayesian Statistics and Causality 15 credits
Generalised Linear and Additive Models 15 credits
Statistical Computing 15 credits
Statistics and DNA 15 credits

For more information on typical modules, read Mathematics and Statistics MMath, BSc in the course catalogue

Broadening your academic horizons

At Leeds we want you to benefit from the depth and breadth of the University's expertise, to prepare you for success in an ever-changing and challenging world. This course gives you the opportunity to broaden your learning by studying discovery modules. Find out more on the Broadening webpages.

Learning and teaching

You’ll be taught through lectures, tutorials, workshops and practical classes. You’ll enjoy extensive tutorial support and have freedom in your workload and options.

Assessment

You’re assessed through a range of methods, including formal exams and in-course assessment.

Entry requirements, fees and applying: Mathematics and Statistics MMath, BSc

Entry requirements

A-level: AAA - A*BB

AAA/A*AB including Mathematics

AAB/A*BB including Further Mathematics

AAB/A*BB including Mathematics and A in AS Further Mathematics

We always require at least grade A in A-level mathematics. If you are taking further mathematics at A-level or AS-level, we usually make an additional alternative offer. In all cases, the first grade quoted is the Mathematics A-level.

We don’t accept general studies or critical thinking but may take account of these at the confirmation stage.

Applicants taking a Science A-level (in England) will be required to achieve a pass in the practical element in addition to the standard A-level grade requirement.

GCSE:

You must also have GCSE English at grade C or above (or equivalent).

Alternative Qualifications

Access to HE Diploma

Normally only accepted in combination with grade A in A Level Mathematics or equivalent.

BTEC

BTEC qualifications in relevant disciplines are considered in combination with other qualifications, including grade A in A-level mathematics, or equivalent

Cambridge Pre-U

D3/D3/M1 or D2/M1/M1. If further mathematics is being taken we ask for D3/M1/M1 or D2/M1/M2.

International Baccalaureate

35 points overall with 17 at Higher Level including 6 in Higher Level Mathematics

Irish Highers (Leaving Certificate)

H1 in Mathematics, H2 grades in four other subjects, and H3 grade in one further subject in your Irish Leaving Certificate

Scottish Highers / Advanced Highers

Suitable combinations of Scottish Higher and Advanced Highers are acceptable, though mathematics must be presented at Advanced Higher level.Typically AAAAB Including grade A in Advanced Higher Mathematics

Other Qualifications

We also welcome applications from students on the Northern Consortium UK International Foundation Year programme, the University of Leeds International Foundation Year, and other foundation years with a high mathematical content. Read more on the School Foundation year programmes page.

Read more about UK and Republic of Ireland accepted qualifications or contact the School’s Undergraduate Admissions Team.

Alternative Entry

We’re committed to identifying the best possible applicants, regardless of personal circumstances or background.

Access to Leeds is an alternative admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.

Find out more about Access to Leeds and alternative admissions.

International

We accept a range of international equivalent qualifications.

Foundation year

If you have the ability to study for a degree but don’t have the qualifications to enter directly to level one, you might consider studying a foundation year. We have formal links with the following foundation year programmes:

- University of Leeds International Foundation Year (IFY)

- Northern Consortium of UK Universities (NCUK)

- Study Group Leeds International Study Centre (LISC)

If you are applying from an alternative foundation year provider, please contact our admissions team to find out if your qualification is suitable for entry to our courses.

English language requirements

IELTS 6.0 overall, with no less than 5.5 in any component. For other English qualifications, read English language equivalent qualifications.

International students who do not meet the English language requirements for the programme may be able to study an English for Academic Purposes pre-sessional course with a progression route to the degree programme. For information and entry requirements, read Pre-sessional programmes.

How to apply

Apply to this course through UCAS. The institution code for the University of Leeds is L23. Check the deadline for applications on the UCAS website.

International students apply through UCAS in the same way as UK/EU students. Our network of international representatives can help you with your application. If you’re unsure about the application process, contact the admissions team for help.

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Admissions policy

Faculty of Biological Sciences Undergraduate Admissions Policy

Fees

UK/EU: See fees section below

International: £19,500 (per year)

For UK and non-UK EU full-time students starting in 2018, the fee for 2018/19 will be £9,250. 

The fee for undergraduate students starting in 2019 will be confirmed in September 2018.

The fee may increase in future years of your course in line with inflation, and as permitted by law. For example, the increase of 2.8% in 2017/18 was based on the government’s forecast for the RPI-X measure of inflation.

The UK government has confirmed that non-UK EU students in 2018-19 will have home fee status and be eligible for UK government student loans. The UK government has not confirmed the situation for future years, so keep checking our website for updates.

If you take a study abroad or work placement year, you’ll pay a reduced tuition fee during this period. For more information, see Study abroad and work placement tuition fees and loans.

Read more about paying fees and charges.

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There is help for students in the form of loans and non-repayable grants from the University and from the government. Find out more in our Undergraduate funding overview.

Career opportunities: Mathematics and Statistics MMath, BSc

A mathematics degree can take you down many career paths into some of the highest paid and most satisfying roles in employment. Leeds mathematics graduates are extremely well placed for employment after their degree. The University of Leeds is the 5th most targeted in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2017 report.

In virtually all areas of life, mathematical skills are highly valued. The numerical, analytical and problem solving skills you will develop, as well as your specialist subject knowledge and your ability to think logically, are highly valued across sectors, including financial services, IT, software design, engineering, and teaching. This course also allows you to develop the transferable skills that employers seek. Statistical skills are particularly sought after in market research, government statistics, environmental science, and NHS roles.

Careers support

Throughout your degree course we will make sure that you have the support and opportunity to develop the skills and experience you’ll need to make the most of your career choices.

Our industrial placement scheme helps you gain valuable work experience that can help you stand out from the crowd. You could also secure a part-time job that you can feature on your CV through the students’ union's Joblink.

Our study abroad scheme allows you to experience another culture and develop life skills, which many employers value. The students’ union also provides volunteering opportunities which can help you in your personal development.

We teach problem-solving and high level thinking at all stages of your degree. We also provide modules that are specifically designed to boost your employability. The second year module “maths at work” engages you in group-based project. At the start of the module, you’ll undertake a skills audit, then prepare a CV, research a company for a mock interview, and participate in an interview workshop. Depending on the nature of your specific project, you may produce a report for a client or deliver a piece of software or webpage. Throughout the module, you’ll develop team work, communication, and presentation skills.

If you’re considering a career in teaching, you can gain experience of working in a local school or college through our “mathematics into schools” module. You’ll prepare teaching materials, deliver mathematics activities through lessons or a club, and organise a mathematics-based project that shows students how exciting the subject can be.

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

Leeds for Life is our unique approach to helping you make the most of University by supporting your academic and personal development. Find out more at the Leeds for Life website.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.

Study abroad and work placements

Study abroad

On this course you have the opportunity to apply to spend time abroad, usually as an extra academic year. The University has partnerships with more than 400 universities worldwide and popular destinations for our students include Europe, the USA, Canada, Australia, New Zealand, Singapore, Hong Kong, South Africa and Latin America. 

Find out more at the Study Abroad website.

Spending a year living and studying in another country is a unique experience. Unlike the passing tourist, you have the chance to totally immerse yourself in another culture. You will gain unforgettable experiences and memories that you will draw upon in your working and personal life for years to come. In addition to this, the proven ability to live and work in an international context is an asset that many employers actively seek.

On this course, your year abroad adds an additional year to your studies. During your year abroad, you will study mathematics and statistics at your host institution.

Students who spend a year in Europe through the ERASMUS programme also receive a maintenance grant for their year away and pay a reduced tuition fee for the year abroad.

Work placements

Practical work experience can help you decide on your career and improve your employability. On this course you have the option to apply to take a placement year module with organisations across the public, private and voluntary sectors in the UK, or overseas.

Find out more about work experience on the Careers website.

The industrial placement (“Year in Industry”) scheme provides you with the opportunity to experience salaried work before you graduate. Employers actively seek graduates who already have work experience and it can make all the difference in interviews.

On this course, your industrial placement adds an additional year to your studies.

An industrial placement will boost your self-confidence, not only in your chosen subject area, but in the marketplace generally. You will be able to choose from a range of mathematics/statistics-related organisations in which to work. In previous years, students have worked at many prestigious companies, including:

  • Ernst and Young
  • ESPN Sports Media
  • IBM
  • UBS

During your industrial placement you will have an industrial supervisor from within the company, plus an academic supervisor who will keep in touch throughout your placement.

If you are not sure right now whether or not an industrial placement is right for you, don't worry - you will not have to start applying for placements until the beginning of your second year.