University of Leeds, School of Mathematics

Introduction

University of Leeds, School of Mathematics one of the largest and most prestigious mathematics departments in the UK, with an international reputation for our teaching and research excellence.

We cover the areas of applied and pure mathematics, as well as statistics and financial mathematics where we have close teaching and research links with Leeds University Business School.

Our courses consist of both compulsory and optional modules which provide the opportunity to cover a range of mainstream and advanced topics and innovative methods, selected from the research interests of the School of Mathematics. The choice of modules is dependent on your background, and subject to the agreement of the Course Co-ordinator.

You will have access to first class facilities, including the University Library, with its extensive range of print and online publications

Our Masters courses are strongly linked to our research groups which means that you are taught by staff who are actively engaged in world-class research and cutting-edge professional practice.

Each of these courses provides a pathway to progress on to a wide range of appealing PhD topics and may be combined with a subsequent PhD programme (subject to entry requirements). Across statistics, pure and applied mathematics there is ample scope to pursue a varied range of research topics. Whether you are looking to pursue a research career in your chosen area of mathematics or to develop the skills which will allow you to excel in industries requiring strong mathematical skills our Masters courses will provide you with an excellent grounding.

This school offers programs in:
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Programmes

MSc

MSc Atmosphere-Ocean Dynamics

Campus Full time 12  September 2017 United Kingdom Leeds

This course is designed for students from a mathematical background who wish to apply their skills to understanding the complex behaviour of Earth's atmosphere and oceans. [+]

This course is designed for students from a mathematical background who wish to apply their skills to understanding the complex behaviour of Earth's atmosphere and oceans. This is an exciting interdisciplinary subject, of increasing importance to a society facing climate change. Training is offered in both modern applied mathematics and atmosphere-ocean science, combining teaching resources from the School of Mathematics and the School of Earth and Environment. The latter are provided by members of the School’s Institute for Climate and Atmospheric Science, part of the National Centre for Atmospheric Science. Only a handful of UK universities are positioned to offer similar interdisciplinary training. Course Description The focus of the course is on analysing the equations of fluid dynamics and thermodynamics, via mathematical and numerical modelling. Topics are drawn from four broad areas: ◾Applied mathematics: asymptotic methods, fluid dynamics, mathematical theory of waves and stability of flows ◾Numerical methods and computing: discretization of ordinary and partial differential equations, algorithms for linear algebra, direct use of numerical weather and climate models ◾Atmospheric dynamics: structure of the atmosphere, dynamics of weather systems and atmospheric waves ◾Ocean dynamics: the large-scale ocean circulation, surface waves and tides Course Structure The course is made up of two parts: a set of taught modules, and a research project. Two-thirds of the course consists of taught modules involving lectures and some computer workshops. Beyond a compulsory core of atmosphere-ocean fluid dynamics, students may choose options to suit their interests from applied maths (e.g. wave and stability theory), atmosphere-ocean... [-]

MSc Data Science and Analytics

Campus Full time 12  August 2017 United Kingdom Leeds

This course is highly flexible, and offers the opportunity to develop a range of skills, including analysing structured and unstructured data, analysing large datasets and critically evaluating results in context, through a combination of compulsory and optional modules. [+]

We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions. Why do we store data? Where do we store it? How do we retrieve it? What do we use it for? There is an increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills which can be applied in a variety of business environments. The Data Science and Analytics MSc is a highly flexible course which offers the opportunity to develop a range of skills, including analysing structured and unstructured data, analysing large datasets and critically evaluating results in context, through a combination of compulsory and optional modules. By choosing appropriate modules you can follow specific pathways, in business management, healthcare or geographic information systems (GIS), which will allow you to tailor the programme to suit your background and needs. The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School and the Yorkshire Centre for Health Informatics. This collaboration allows you to benefit from a range of data science perspectives and applications, supporting you to tailor your learning to your career ambitions. Modules are available from each of these areas and in addition there are three new modules available in mathematics for students who are not from... [-]

MSc Mathematics

Campus Full time Part time 12  September 2017 United Kingdom Leeds + 1 more

The MSc Mathematics programme provides a solid training in mainstream mathematics and will give you an insight into modern developments in mathematics. [+]

The MSc Mathematics programme provides a solid training in mainstream mathematics and will give you an insight into modern developments in mathematics.

The course is ideal for those who wish to take their studies of mathematics beyond the BSc level, for interest or to develop future employment opportunities. It also provides an 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.

Course Description

This course is designed to build on existing mathematical skills and allow students from a wide range of backgrounds to both broaden and deepen their understanding of their chosen branch of mathematics. The course allows specialisation in areas of pure mathematics, applied mathematics or statistics and allows the flexibility to cover a range of areas or to concentrate on one specific area.... [-]


MSc Mathematics and Computer Science

Campus Full time 12  September 2017 United Kingdom Leeds

This interdisciplinary Masters degree provides a broad background in some mainstream and modern aspects of mathematics and computer science. You will be introduced to sophisticated techniques at the forefront of both disciplines. [+]

This interdisciplinary Masters degree provides a broad background in some mainstream and modern aspects of mathematics and computer science. You will be introduced to sophisticated techniques at the forefront of both disciplines. The programme combines teaching and research from the School of Mathematics and the School of Computing. Based on the Schools’ complementary research strengths the programme follows two main strands: ◾Algorithms and complexity theory ◾Numerical methods and parallel computing Course Description It is expected that most students will specialise in one of two areas during the course, although this is not essential. The two strands are: Algorithms and complexity theory and connections to logic and combinatorics This concerns the efficiency of algorithms for solving computational problems, and identifies hierarchies of computational difficulty. This subject has applications in many areas, such as distributed computing, algorithmic tools to manage transport infrastructure, health informatics, artificial intelligence, and computational biology. Numerical methods and parallel computing Many problems, in mathematics, physics, astrophysics and biology cannot be solved using analytical techniques and require the application of numerical algorithms for progress. The development and optimisation of these algorithms coupled to the recent increase in computing power via the availability of massively parallel machines has led to great advances in many fields of computational mathematics. This subject has applications in many areas, such as combustion, lubrication, atmospheric dispersion, river and harbour flows, and many more. Course Structure You are required to study 180 credits in total made up from taught modules and a research project. You will... [-]

MSc Medical Statistics

Campus Full time Part time 12 - 24  September 2017 United Kingdom Leeds + 1 more

A flexible taught masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications. [+]

A flexible taught masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications. The MSc in Medical Statistics is a flexible degree programme blending theoretical and applied statistical disciplines ideal for training in medical statistics. It combines compulsory and optional modules allowing students to train in a range of statistical techniques (and transferable skills) suitable for either careers in medical statistics and research-related professions, or for further academic research. Course description The course is available as a full-time MSc lasting 12 months or as a part-time option studied over 24 months, both starting in September. The programme provides training in a core of statistical techniques (and transferable skills) suitable for either careers in medical statistics or for further academic research. The Course consists of two semesters of taught modules, with the third semester devoted to a major dissertation or research project. Within each semester there is one compulsory module. However, students tailor the course to meet their individual needs through selection of a further three modules from a variety of options. Options within the course vary from mainstream topics in statistical methodology to more specialised areas such as epidemiology and biostatistics. Course structure This course is taught by experts from the School of Mathematics, the Centre for Epidemiology and Biostatistics, and the Clinical Trials Research Unit at Leeds, each bringing a different perspective to the subject of medical statistics. The programme combines taught modules with a summer project, supervised between the teaching... [-]

MSc Statistics

Campus Full time 12  September 2017 United Kingdom Leeds

A flexible taught masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a broad range of specialisations. [+]

This course is accredited by the Royal Statistical Society. A flexible taught masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a broad range of specialisations - from financial mathematics to statistical bioinformatics; from shape analysis to risk management. The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics. It provides training in a range of statistical techniques (and transferable skills) suitable for either careers in statistics and research-related professions, or for further academic research in statistics. Course Description The course is a full-time MSc lasting 12 months, starting in September. The Course consists of two semesters of taught modules, with the third semester devoted to a major dissertation. Within each semester there is one compulsory module. However, students tailor the course to meet their individual needs through selection of a further three modules from a variety of options. This selection process means a student can specialise in biological or financial applications of statistics or retain a broad base of statistical expertise. Options within the course vary from mainstream topics in statistical methodology to more specialised areas and reflect specific research interests of academic staff - examples include statistical shape analysis, directional data, statistical genetics and stochastic financial modelling. Course Structure Semester One Statistical Computing (compulsory): An introduction to methods of statistical computing. Essential for the applied statistician, with an emphasis on sampling-based methods, such as Markov chain Monte Carlo.... [-]

MSc Statistics with Applications to Finance

Campus Full time 12  September 2017 United Kingdom Leeds

The MSc in Statistics with Applications to Finance is a focussed degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics and financial applications. As well as the statistics expertise within the School of Mathematics, the MSc also draws on experience in Financial Mathematics, a joint venture between the School of Mathematics and Leeds University Business School headed by Professor Klaus Schenk-Hoppé. [+]

The MSc Statistics with Applications to Finance is a taught Masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics. It is a focussed degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics and financial applications. As well as the statistics expertise within the School of Mathematics, the MSc also draws on experience in Financial Mathematics, a joint venture between the School of Mathematics and Leeds University Business School headed by Professor Klaus Schenk-Hoppé.

Course Description

The programme provides training in a core of statistical techniques (and transferable skills) suitable for either careers in statistical finance or for further academic research. The course is a full-time MSc lasting 12 months, starting in September. The Diploma is just over 8 months duration. The Course consists of two semesters of taught modules, with the third semester devoted to a major dissertation. Within each semester there are three compulsory modules. However, students tailor the course to meet their individual needs through selection of a further module in each semester from a variety of options.... [-]