This course is designed to build on your existing mathematical skills and allows you to both broaden and deepen your understanding of the branch or branches of mathematics which most interest you.
The flexibility of this course allows you to either keep your studies quite broad, learning a range of mathematical techniques, or specialise in areas of pure mathematics, applied mathematics or statistics depending on your interests.
If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements.
On completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.
This programme is accredited by the Royal Statistical Society under the condition that the final degree transcript shows at least 60 statistics credits in year 3.
There is a range of taught modules to choose from, providing the opportunity to combine mainstream, advanced mathematical topics and innovative methods relating to the research interests of the School of Mathematics.
You must enrol on 180 or 185 credits in total, made up from both taught modules and an individual research project.
These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
- Dissertation in Mathematics 60 credits
- Combinatorial Optimisation 10 credits
- Graph Algorithms and Complexity Theory 10 credits
- Graph Theory: Structure and Algorithms 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
- Astrophysical 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 Astrophysical 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
- Independent Learning and Skills Project 15 credits
- Statistical Computing 15 credits
- Statistics and DNA 15 credits
- Show more
For more information on typical modules, read Mathematics MSc in the course catalogue
Learning and teaching
Teaching is by lectures, tutorials, seminars and supervised research projects. Extensive use is made of IT and a wide range of materials is available to enable students to study at their own pace and in their own time to enhance and extend the material taught formally.
Assessment is by a range of methods, including formal examination, in-class tests, example sheets, problem solving, project work and verbal presentations.
The research project will be assessed based on 85% from the written report, and 15% from an oral presentation. It will contribute 60 credits to the overall total.
Applying, fees and funding
A bachelor degree with a 2:1 (hons) in a relevant science subject.
We accept a range of international equivalent qualifications.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.
Improve your English
If English is not your first language, you may be able to take a pre-sessional course before you begin your studies. This can help if you:
- don't meet the English language requirements for your course or
- want to improve your understanding of academic language and practices in your area of study.
Our pre-sessional courses are designed with a progression route to the degree programme and are tailored to the subject area. For information and entry requirements, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).
How to apply
31/07/18 - International
31/08/18 - Home/EU
This link takes you to information on applying for taught programmes and to the University's online application system.
If you're unsure about the application process, contact the admissions team for help.
Documents and information you’ll need
Original or certified copies of your transcriptsOriginal or certified copies of your degree certificate
Copy of passport (if applicable)
Letter of sponsorship (if applicable)
Names of two academic references
Original or certified copy of your IELTS/TOEFL results (if applicable)It may help your application if you include a personal statement and CV.
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.
Faculty of Mathematics and Physical Sciences Taught Postgraduate Admissions Policy
UK/EU: £9,250 (total)
International: £19,500 (total)
Read more about paying fees and charges.
For fees information for international taught postgraduate students, read Masters fees.
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 may be help for students in the form of loans and non-repayable grants from the University and from the government. Find out more at Masters funding overview.
The School of Mathematics offers a range of scholarships for UK, EU and International students.
Find out more about our Scholarships.
There is a high demand for mathematicians and statisticians across a range of sectors such as the petroleum and nuclear industries, medicine, IT, as well as many forms of engineering and different government departments.
Further study at Masters level can be useful for some maths-related careers such as operational research, medical statistics in pharmaceutical companies, meteorology, engineering design, finance and IT-based roles.
Common Careers paths for Maths graduates include:
Actuaries evaluate, manage and advise on financial risks. They use their knowledge of business and economics, together with their understanding of probability theory, statistics and investment theory, to provide strategic, commercial and financial advice.
Operational researchers use analytical and creative skills to assist organisations in developing better systems and operational procedures. By examining an organisation's operations and using mathematical modelling, computer software or other analytical approaches, they find more effective ways of working.
Corporate investment banker
Corporate investment bankers provide a range of financial services to companies, institutions and governments. They manage corporate, strategic and financial opportunities, including:
- bonds and shares
- initial public offerings (IPOs)
Corporate investment bankers also advise and lead management buyouts, raise capital, provide strategic advice to clients, and identify and secure new deals
A quantity surveyor manages all costs relating to building and civil engineering projects, from the initial calculations to the final figures. Surveyors seek to minimise the costs of a project and enhance value for money, while still achieving the required standards and quality.
Meteorologists study the causes of particular weather conditions using information obtained from the land, sea and upper atmosphere. They use computerised and mathematical models to make short and long-range forecasts concerning weather and climate patterns.
This MSc in Mathematics will provide you with excellent preparation for research for an MPhil or PhD. At Leeds we have a range of research opportunities available and in some cases you can progress to a PhD on the basis of a specified performance in the MSc.
The quality of the School’s research was recognised in the 2014 Research Excellence Framework (REF) where Mathematics at Leeds was ranked equal 8th overall and equal 9th for research impact in the UK.
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.
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.
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