If you want to study for a mathematics-related MSc course but don't meet the full academic entry requirements, this programme will equip you with the mathematical knowledge and skills you need.
You'll choose from a range of undergraduate modules offered in the School of Mathematics, building a programme which fills the gaps in your knowledge and prepares you for postgraduate study in your chosen field. If you complete the GradDip and meet the required performance standard, you'll be eligible to apply for a number of related MSc courses in the next academic year.
You could develop your understanding of graph theory or quantum mechanics, algebra or calculus, financial statistics or coding theory among many other topics in a supportive and stimulating research environment.
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.
The programme is highly flexible and there are no compulsory modules, meaning you can build your own programme of study that suits your interests as well as the MSc programme you want to study after the GradDip. Your choices will be checked and approved by the Programme Leader, who might also suggest different choices according to your background.
Around half of the total number of credits you study should come from level 3 modules, including no more than one project module. You'll need to pass at least 100 credits - including at least 60 credits at level 3 - and have an overall average of at least 40 to graduate with the GradDip.
These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
- Combinatorial Optimisation 10 credits
- Graph Algorithms and Complexity Theory 10 credits
- Real Analysis 15 credits
- Groups and Vector Spaces 15 credits
- Rings, Fields and Polynomials 10 credits
- Mathematical Logic 1 10 credits
- Geometry of Curves and Surfaces 10 credits
- Further Linear Algebra 10 credits
- Discrete Mathematics 10 credits
- Discrete Mathematics with Computation 15 credits
- The Mathematics of Music 10 credits
- Vector Calculus 15 credits
- Linear Differential Equations and Transforms 15 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
- 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
- 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
- Show more
For more information on typical modules, read Mathematics GradDip in the course catalogue
Learning and teaching
The flexibility of this programme means that you can choose from modules that use a wide range of teaching and learning methods. These could include example classes, practicals, lectures, seminars, workshops and tutorials among many others.
However, independent study is another vital element of the programme which allows you to develop your skills and prepare for taught sessions.
You'll also come across a variety of assessment methods which could include exams as well as problem sheets, essays, practicals, class tests and other forms of coursework.
Applying, fees and funding
A bachelor degree with a 2:2 (hons) in mathematics or a related subject such as statistics, engineering, physics or computer science with adequate performance on mathematics modules.
We accept a range of international equivalent qualifications.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in any component. 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 degree certificate and transcripts
- Copy of passport (if applicable)
- Letter of sponsorship (if applicable)
- Names of two academic references
- Evidence of your English language qualifications, if English isn't your first language.
- 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: £6,250 (total)
International: £13,000 (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 GradDip is a stepping stone to a postgraduate qualification. If you complete the programme successfully, you'll be eligible for entry onto a number of related MSc programmes in the following academic year.
Mathematicians can choose from a wide range of career options in diverse employment sectors, from software development and system modelling to finance, risk management and general management positions in sectors such as manufacturing and retail.
Once you've completed a postgraduate qualification, you may be able to benefit from new opportunities at more senior levels, or even prepare for further research at PhD level.
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.
Related coursesFinancial and Actuarial Mathematics GradDip