QMUL_MSc_Mathematical_Finance

Queen Mary, University of London MSc Mathematical Finance Entry 2012

Produced by Creative Services, Queen Mary, University of London http://qm-web.corporateaffairs.qmul.ac.uk/creativeservices/ - Pub8252 The information given in this prospectus is correct at the time of going to press.

The College reserves the right to modify or cancel any statement in it and accepts no responsibility for the consequences of any such changes. For the most up-todate information, please refer to the website www.qmul.ac.uk Any section of this publication is available in large print upon request. If you require this publication in a different accessible format we will endeavour to provide this where possible. For further information and assistance, please contact: hr-equality@qmul.ac.uk; +44 (0)20 7882 5585.

This prospectus has been printed on environmentally friendly material from well-managed sources.

Contents

Welcome Programme Modules Staff Student profile Careers Alternative MSc programmes About Queen Mary Open days / accommodation / social life Living in London International outlook How to apply

2 3 5 9 11 12 13 14 16 18 19 20

Queen Mary, University of London 01

Welcome

Dear Applicant It is with great pleasure that I welcome you to the School of Mathematical Sciences at Queen Mary, University of London and, in particular, to our new MSc in Mathematical Finance programme, which is provided jointly with the School of Economics and Finance. This new specialised programme has been designed to provide students with the necessary mathematical techniques and tools to understand and model the complexity of financial markets and to succeed in a future career in the finance industry.

The MSc programme in Mathematical Finance brings together two highly respected schools of Queen Mary, University of London. Expertise from the School of Mathematical Sciences ensures that the programme is mathematically sound, while the School of Economics and Finance contributes with its huge knowledge of applied aspects of financial markets. The School of Mathematical Sciences has an excellent reputation, with more than half of its research judged to be either ‘world-leading’ or ‘internationally excellent’ in the latest Research Assessment Exercise (RAE), while the School of Economics and Finance is one of the top Economics schools in the country, ranked joint sixth in the RAE.

02 Queen Mary, University of London

Postgraduate study in Mathematical Finance at Queen Mary is excellent preparation for a variety of career paths. Past students of the School of Mathematical Sciences and the School of Economics and Finance have gone on to have success in the financial sector, industry, government, public services, academia, and international organisations such as the IMF. The MSc in Mathematical Finance will provide you with rigorous training in modern mathematical theories and techniques as applied to finance. You will also be introduced to important numerical techniques and computational aspects of mathematical finance, based on C++, the programming language of choice for many practitioners in the finance industry. More details can be found in the modules section of this brochure.

We look forward to welcoming you to Queen Mary and hope that your time with us will be both rewarding and enjoyable.

Professor Christian Beck Programme director MSc Mathematical Finance

Programme

Programme description

Programme outline

The MSc in Mathematical Finance is a specialist one-year postgraduate taught masters programme aimed at providing graduate students and professionals with a rigorous training and strong analytical and quantitative skills in finance. This intensive programme will introduce you to the mathematics used by practitioners in the field. It covers a wide range of analytical tools applied in quantitative asset pricing and financial derivatives.

(1 year full time, 2 years part time)

The programme is designed for high-calibre science and engineering graduates who aim to pursue careers as quantitative analysts in the private sector, government or financial institutions. You will learn about financial modelling, asset pricing theory, and financial risk management, as well as more theoretical subjects such as the theory of stochastic processes and stochastic analysis. Scientific computing and programming is an important element of this programme.

This MSc will prepare you for a wide range of careers, especially in the banking and finance sector, as well as marketing, public services, consultancy, industry and commerce.

The study programme consists of six core modules and two electives with an even split between semesters, and a summer dissertation project. You will also be offered two pre-sessional modules in probability, statistics, financial markets and economics, providing a good opportunity to enhance the necessary prerequisite knowledge. Three core mathematics modules run by the School of Mathematical Sciences will cover the most important mathematical techniques used in mathematical finance. Three core economics modules will cover the relevant financial instruments, and will be run by the School of Economics and Finance.

You can choose elective modules from a list of around ten modules offered by the two Schools.

Assessment Module examinations are held between May and early June. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the degree of MSc in Mathematical Finance (possibly with Merit or Distinction).

Queen Mary, University of London 03

Programme (cont)

Entry requirements

Tuition fees

The normal entry requirement for the MSc in Mathematical Finance is the equivalent of a British first or good upper-second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, economics, computer science or engineering.

For up to date information regarding tuition fees, see www.qmul.ac.uk/postgraduate/tuitionfees

International entry requirements Non-native English speakers are required to have a minimum of IELTS 6.5 or equivalent. More information on our language requirements can be found at www.qmul.ac.uk/international/ englishlanguagerequirements

04 Queen Mary, University of London

Scholarships/bursaries We plan to offer substantial bursaries and scholarships to outstanding candidates. Please visit www.maths.qmul.ac.uk for more information.

Modules

Semester 1 – Core modules Computational Methods in Finance This module will provide you with the necessary numerical skills and tools to investigate a variety of problems in mathematical finance. It is based on C++, the programming language of choice for many practitioners in the finance industry. You will learn about basic concepts of the C part of C++ such as loops, arrays, functions, and branching statement, and will then be introduced to the object-oriented programming part of C++.

As an application you will deal with binomial trees in C++ and the pricing of various types of options in this context.

Foundations of Mathematical Modelling in Finance This module will provide you with an introduction to important concepts such as probability theory and stochastic processes that are useful in modelling asset price dynamics. The introduction of more advanced tools will be preceded by a brief review of basic probability theory. Important stochastic processes that underlie many models in finance, such as random walks, Brownian motion, geometric Brownian motion, and the Poisson process, will be discussed. An informal overview on Ito stochastic calculus and its application in finance will be given. By the end of this introductory course you will have achieved a sufficient level of competence of selected mathematical methods to facilitate further studies in mathematical finance.

Investments This module introduces students to the key principles in asset pricing and investment management. It covers risk, return and portfolio construction; equity markets and pricing; fixed income markets and the term structure of interest rates; introduction to derivatives markets; applied security analysis; and applied portfolio management.

Semester 1 – Option modules Time Series Analysis This module aims to provide a foundation in time series analysis, in general, and in the econometric analysis of economic time series, in particular, offering theory and methods at a level consonant with an advanced training for a career economist. Topics include: An Introduction to Time Series Analysis for Econometrics and Finance; Vector Linear Time Series Models; Continuous Time Stochastic Models; Strong Dependence and Long Memory Models; and Unit Roots and Co-integration.

Queen Mary, University of London 05

Modules (cont)

Mathematical Statistics This module covers the classical theory of statistical inference and probability theory which are required for more advanced study in statistics. It is aimed at mathematicians who have done little statistics in their undergraduate studies. It will cover material approximately equivalent to two undergraduate modules, at a fast pace and taking a mathematical approach.

Topics covered include: conditional probability; hypothesis testing; distribution theory; estimation; multivariate normal distribution; laws of large numbers and the central limit theorem; confidence intervals; general theory of testing; matrix algebra; least squares; and Gauss-Markov theorem.

Investment Management This module offers a high-level introduction to concepts related to investment analysis. Topics treated include valuation of real and financial securities; the principles of investment; valuation of risky securities; portfolio analysis and bond portfolio management; financial market equilibrium; the CAPM and APT models; capital budgeting and risk; and market efficiency.

Econometrics A The purpose of this module is to provide students with the necessary tools for formalising a hypothesis of interest and testing it, writing a simple econometric model, estimating it and conducting inference. The module starts with a review of the classical linear model. We then analyse finite sample and asymptotic properties of ordinary least squares, instrumental variables and feasible generalised least squares, under

06 Queen Mary, University of London

general conditions. Classical tests, as well as general Hausman tests, and moment’s tests are covered. The case of dependent stationary observations is also covered. Finally, nonlinear estimation methods and, in particular, the generalised method of moments, are covered.

Topics in Probability and Stochastic Processes This module aims to present some advanced probabilistic concepts and demonstrate their application to stochastic modelling of real-world situations. The topics covered vary from year to year but may include, for example, limit theorems, renewal theory, and continuous-time Markov processes. In addition to exposure to proofs and theoretical material, students develop practical skills through a large number of problems and worked examples.

Semester 2 – Core modules Stochastic Calculus and Black Scholes Theory This module enables you to acquire a deeper knowledge about the Ito stochastic calculus as applied to mathematical finance. You will learn about the role of the Ito integral in solving stochastic differential equations, and its role in developing the Black-Scholes theory for option pricing. You will also obtain a clear understanding of the simplifying assumptions in the BlackScholes model. The course will develop pricing methologies for both vanilla options (European call and put options) as well as exotic options such as barrier options.

Advanced Asset Pricing Modelling This module covers some of the topics analysed by the modern theory of asset pricing. After a recap of CAPM, we concentrate on the ArrowDebreu approach for valuing cash flows. Next, we cover the consumption-based approach to asset pricing. We conclude with an overview of the theories that investigate the effects of asymmetric information in financial markets.

Financial Derivatives The purpose of this module is to provide students with the theory and practice of pricing and hedging derivative securities. These include forward and futures contracts, swaps, and many different types of options. This module covers diverse areas of derivatives, such as equity and index derivatives, foreign currency derivatives and commodity derivatives, as well as interest rate derivatives. This module also addresses the issue of how to incorporate credit risk into the pricing and risk management of derivatives. All the relevant concepts are discussed based on the discrete time binomial model and the continuous time Black-Scholes model. The extensions of the Black-Scholes model are also discussed.

revisited in a numerical context. At the end of this module you will also investigate models beyond the Black-Scholes theory, based on stochastic volatility, which relate to current research.

Risk Management in Banking This module deals with the ways in which risks are quantified and managed by financial institutions. Among the topics covered are the nature of financial institutions and their regulation, market risk, credit risk, operational risk, liquidity risk and the credit crisis of 2007.

Portfolio Theory and Risk Management A very important general problem in finance is to balance investment risk and return. In this module you will acquire skills and techniques to apply modern risk measures and portfolio management tools. Mathematically this involves the maximisation of the expectation of suitable utility functions which characterises the optimum portfolio. You will learn about the theoretical background of optimisation schemes and be able to implement them to solve practical investment problems.

Semester 2 – Option modules Advanced Computing in Finance This is a follow-up module to Computational Methods in Finance. Your knowledge of C++ will be enhanced and further topics of interest in mathematical finance will be numerically investigated. An important topic in this module is the use of Monte Carlo simulations for pricing various types of options. The Black-Scholes theory and its connection with PDEs will be Queen Mary, University of London 07

Modules (cont)

Financial Econometrics This module discusses econometric methodology for dealing with problems in the area of financial economics and provides students with the econometric tools applied in the area. Applications are considered in the stock, bond and exchange rate markets.

You will cover the following issues: asset returns distributions; predictability of asset returns; econometric tests of capital markets efficiency and asset pricing models; inter-temporal models of time-varying risk premium; nonlinearities in financial data; value at risk; pricing derivatives with stochastic volatility (or GARCH) models; modelling non-synchronous trading; and numerical methods in finance.

Bayesian Statistics This module discusses the Bayesian approach to statistics. The topics covered include the likelihood principle, the exponential family, conjugate priors, use of non-informative priors in linear models, normal priors, exchangeability between regressions, growth curves, outliers and influential observations, Gibbs sampling, graphical models, advantages and disadvantages of Bayesian methods. Appropriate examples will be discussed throughout the module, which relate to epidemiological data, randomised clinical trials, and radiocarbon dating.

Semester 3 – Core module MSc Dissertation (10,000 words)

08 Queen Mary, University of London

Staff

School of Mathematical Sciences Dr Rosemary Harris is interested in stochastic processes and nonequilibrium statistical physics. In particular, she uses the framework of interacting particle systems both to study fundamental aspects of non-equilibrium physical systems and to develop models of various applications in which fluctuations play an important role, for example, vehicular traffic, biological transport and financial markets. She is also interested in stochastic processes involving memory effects or longrange correlation. She is now part of an EPSRCfunded team applying multidisciplinary approaches to understanding travel behaviour.

Professor Christian Beck has a broad research interest covering stochastic processes, spatio-temporal chaos, and generalised statistical mechanics methods for complex systems. Together with Boltzmann-medalist Eddie Cohen (Rockefeller University, NY) he has introduced the superstatistics concept to describe complex systems with time scale separation. Applications include mathematical finance, turbulent flows, scattering processes in high-energy physics, traffic delay statistics, as well as medical and biological applications. His research in mathematical finance concentrates

on models of stochastic volatility for share price indices and other equities. He is also interested in analysing the multifractal properties of financial time series.

Dr Wolfram Just's research interests cover various areas in applied mathematics with a particular focus on dynamical systems theory and statistical mechanics.

He is interested, in particular, in studying time delays in dynamical systems, complex dynamical behaviour, the control of chaotic motion, the effect of noise and randomness on dynamical systems, and the analysis of experimental time series, including economically relevant time series. Among his recent work, he has studied the modelling of fast modes of motion by noise and its relevance for climate research. He has also investigated the resilience and vulnerability of European infrastructure networks with tools borrowed from statistical mechanics.

Queen Mary, University of London 09

Staff (cont)

Dr Hugo Touchette's research focuses on the mathematical theory of large deviations and its application for studying the typical behaviour and fluctuations of Markovian stochastic processes and statistical models of physical systems involving many interacting particles. He is particularly interested in particle systems involving long-range interaction and stochastic processes showing long-range correlation. His interest is also shifting now towards numerical simulations of rare events in stochastic processes.

School of Economics and Finance Dr Leone Leonida’s research interests are mainly in growth and corporate finance. He is studying the effects on growth processes and convergence patterns of structural change (ie industrialisation) by means of semi-parametric stochastic kernels and ACF estimation. He also studies the effects on firm value and investment of corporate governance mechanisms, exchange rate fluctuations and spill over effects from public capital.

10 Queen Mary, University of London

Dr Christopher J Tyson has research interest in the areas of individual and group decision making. Specifically, he has worked on incorporating psychological factors such as cognitive constraints, attention and salience, and time inconsistency of behaviour into economic theory, as well as on more traditional topics (for economists) such as multilateral bargaining and the theory of utility functions.

Student profile

Name: Brendan O’Neill Course: MSc Mathematics Why did you choose Queen Mary for your postgraduate study?

Being uncertain about the exact direction of my future career, it was important for me to have a good variety of modules on offer in my MSc and to get a taste of different subjects and potential career paths. When I looked at Queen Mary, I was very impressed by the wide variety of modules on offer and the fact that they have one of the largest mathematics departments in the UK. One nice thing about studying at Queen Mary is that we are also allowed to take modules at other universities that are part of the University of London, so we are spoilt for choice really.

What in particular do you enjoy about your course/the School of Mathematical Sciences?

I really enjoyed the fact that I was able to get everything I wanted out of my MSc. In my first semester, I followed a refresher module on statistics and then tried new subjects such as actuarial mathematics and financial mathematics.

I also perfected my programming skills as part of a scientific computing module. All in all, it was more than I hoped for from one institution. The general support and advice from the programme coordinator and his open door policy also made a huge difference to me.

What are your career plans after you graduate?

I am currently looking for work in actuarial science and finance. The careers office at Queen Mary has been really helpful in offering advice on how and where to look for jobs.

Queen Mary, University of London 11

Careers

The College’s careers service is run by a team of dedicated and professional staff. They offer advice through drop-in sessions and in-depth interviews, and run an extensive programme of seminars covering topics such as interview skills; how to deal with psychometric tests; and surviving assessment centres. You will also be able to use the College’s extensive careers library.

To find out more, visit www.careers.qmul.ac.uk

Graduate employment The MSc in Mathematical Finance programme will prepare students for a wide range of careers, especially in the banking and finance sector, as well as marketing, public services, consultancy, industry and commerce. The analytic and computing skills acquired throughout the programme are much valued in the financial sector and a number of recent graduates from the School of Mathematical Sciences have gone on to work for companies such as the Royal Bank of Scotland, HSBC, Procter and Gamble, Barclays Capital, JP MorganChase and EDF Energy. First destinations of School of Economics and Finance graduates include some of the most prestigious universities in UK, continental Europe and Asia; several independent economic research centres and private institutions; many governmental research departments and regulatory bodies, such as the antitrust authorities and the financial regulatory agencies; some international institutions such as the European Central Bank, the Bank of England, the European Commission, the International Monetary Fund and the World Bank. The chart (right) shows School of Economics and Finance's student destinations, by percentage.

12 Queen Mary, University of London

Others 17% Event Management 8%

Banking 33%

Research 4% International Finance 15%

Investment Banking 23%

Alternative MSc programmes

MSc Mathematics The MSc in Mathematics gives an in-depth training in advanced mathematics to students who have already obtained a first degree with substantial mathematical content. Students successfully completing the MSc will acquire specialist knowledge in their chosen areas of mathematics, and the MSc is an excellent preparation for those who are considering pursuing research in mathematics.

MSc Economics This is a well-established intensive programme providing rigorous training in modern economic theory and applications. It is best suited for students who wish to train for careers as professional economists in the private sector or the government, or who wish subsequently to follow an academic career or to pursue research

in economics. The programme has a research dissertation component and has recognition as a Research Training degree by the ESRC under their “1+3� scheme.

MSc Finance and Economics The MSc in Finance and Economics provides graduate students and professionals with a rigorous training and strong analytical background in finance, financial economics and econometrics. The intensive programme covers all the analytical tools and the advanced materials in quantitative asset pricing, econometrics, financial derivatives, financial econometrics. You will also cover areas of specialisation such as asset pricing and modelling, international finance, time series analysis and corporate finance.

Queen Mary, University of London 13

About Queen Mary

One of the UK’s leading research-focused universities, Queen Mary is an inspiring place to work and study. Founded in 1887 as the People’s Palace, Queen Mary was admitted to the internationally renowned University of London in 1915.

Among the three largest colleges of the University of London, Queen Mary is the only one with a fully integrated campus, where you will live, study and socialise. With more than 15,000 students, you can look forward to joining a thriving, and intellectually stimulating community. Based in East London, from Queen Mary you can clearly see "The Gherkin" in the City of London and the new financial district of Canary Wharf.

The School of Mathematical Sciences is one of the largest UK mathematical science departments and is one of five Schools in the Faculty of Science and Engineering at Queen Mary. The College has recently invested in a new foyer and entrance area for the Mathematical Sciences Building, with a Penrose tiling pattern wrapped around the outside of the building.

As a member of the 1994 Group of researchfocused universities, Queen Mary has made a strategic commitment to the highest quality of research. This vibrant research environment means that our students have access to some of the world's leading experts in their chosen subjects. We have invested in this principle through a systematic programme of recruiting to Queen Mary the best academic staff in their disciplines from around the world. We are

14 Queen Mary, University of London

interested in academics at the peak of their careers who have made a substantial commitment to their field, as well as those who show promise. This creates an inspiring and dynamic atmosphere, particularly suitable for postgraduate study.

Postgraduates have the opportunity to study and research topics from a wide spectrum of topics in mathematics, statistics and finance, creating a fascinating environment for postgraduate study.

Postgraduate study at Queen Mary • Queen Mary invests over £2m into graduate studentships and bursaries each year • 2,000 postgraduate students following taught programmes or registered for research • Students from 125 countries • Over £250m invested in College buildings and facilities over the last five years • Integrated and secure living and studying environment on the Mile End Campus

Postgraduate resources Within the School of Mathematical Sciences there are formal and informal seminars, colloquia and small study groups in the various areas of the School’s research activity – many in collaboration with other colleges of the University of London.

Postgraduate students and staff participate in all these activities.

We have excellent study facilities. MSc students share one of several large offices with a dedicated computer network and campus-wide wifi.

The College Library has many mathematical, statistical and financial journals, which are supplemented by an extensive electronic periodicals library. There are also exceptional libraries in other London University Colleges as well as The London Mathematical Society Collection and the Royal Statistical Society Library.

Queen Mary, University of London 15

Open days / accommodation / social life

Visit us

Social life

Applicants will be invited to attend one of our Open Days, which provide an opportunity to see the College campus and meet both staff and students.

You can also attend one of our informal Campus Tours or one of our maths-specific events running throughout the year. For full details on all of these events and to find out how to book a campus tour visit www.qmul.ac.uk/visitus

During your time at Queen Mary you will have many opportunities to get involved in a diverse social scene. The Students’ Union provides many social societies as well as sport clubs. There are various annual social events for postgraduate students, such as the Christmas party and a summer party to help celebrate all your hard work throughout the academic year. MSc students are also welcome to attend research seminars, or to work as a student mentor or ambassador.

Accommodation Queen Mary has a range of on-campus accommodation for new full-time postgraduate students coming from outside the London area.

There is no deadline for applying for accommodation, but you should apply as early as possible for on-campus accommodation. In addition, the College accommodation office can help students and visitors to find a wide range of places to live, usually within an easy bus or train ride of the College. For more information, please visit www.residences.qmul.ac.uk

Student societies The Queen Mary Economics Society aims to provide its members with information and advice, an opportunity to socialise and network, and to act as a portal for members to express their views and opinions on all things economics. By joining the Society, members will have the opportunity to network with City professionals, gain valuable skills for careers in the financial sector, gain an insight into investment banks and other financial institutions, develop interview and assessment centre skills (specifically for careers in finance), and attend careers sessions and presentations.

The Queen Mary Mathematics Society organises social events for students from the School of Mathematical Sciences as well from other Schools.

Activities include meals, parties, poker and other activities to bring together students from different walks of life.

16 Queen Mary, University of London

MSc Investment Club The Investment Club operates as a micro-fund and provides students a chance to familiarise themselves with the financial world. The club offers rotational positions so that every student is guaranteed both trader- and analyst-related work. Everyone can join and it is a great opportunity to build up financial skills to impress future employers, to enhance your CV, or merely to see if this is the right career choice for you!

Student Village

Queens Building, Mile End Campus

Queen Mary, University of London 17

Living in London

London is one of the world’s most culturally rich and inspiring cities. You can take advantage of some of the best resources in the country – such as special collections, libraries, and museums – that will feed into and complement your studies.

Living in London also gives you access to outstanding art galleries, theatre, and live music, as well as first-class sporting and other recreational facilities. There are over 250 museums and galleries, and the major museums, such as The Science Museum, Natural History Museum, V&A Museum and art galleries such as Tate Modern, Tate Britain and the National Gallery offer free entry.

Our Mile End campus is located one mile from the City of London (hence the name) and a similar distance from the financial district of Canary Wharf. With so many businesses located in the nation’s capital you will be well-placed to build your connections with the worlds of innovation and commerce.

You can find maps of our Mile End campus and the surrounding areas at www.qmul.ac.uk/about/ howtofindus and to find out more about everything from upcoming festivals to the location of your local pub, visit www.timeout.com/london

18 Queen Mary, University of London

Our home in the east Queen Mary is based in the exciting and culturally diverse area of east London. The hub of London’s creative and cultural community, east London represents the best of the city – rich in history, yet always looking to the future, and ethnically diverse, while retaining a uniquely British character.

At Queen Mary we are proud of our roots in the area. In 1887, Queen Mary College began life as the People’s Palace, a philanthropic centre for the education of east Londoners. We still work closely with our local community today, for example, running a free Legal Advice Centre.

Olympic legacy The Olympic Games 2012 will have taken place by the time you arrive at Queen Mary, but the impact they make on the surrounding area will be apparent for years to come with better transport links, improved infrastructure and first-class sporting facilities – some of which will be available for use by the public.

The Olympic Park is only a couple of miles from our Mile End campus, and one stop on the tube.

At the time of going to press, the plan is to transform it into one of the largest urban parks created in Europe for more than 150 years. For more information, see www.london2012.com

International outlook

Queen Mary welcomes students from all over the world and offers a lively, multicultural environment.

We currently have over 5,000 international students from more than 125 countries studying with us. We have the third highest percentage of international students and staff in the UK, and the 16th highest in the world*. *Times Higher Education (THE) World University Rankings 2011

Global talent We value the contribution that our international students make to the life of the College. As an international student you will offer different academic approaches and a range of life experience, creating a rich learning environment.

The influence of so many cultures also feeds into the social life of the College. This is reflected in the diversity of our student-run clubs and societies, which cover politics, culture, religion and a range of sports.

How we support you Our campus provides you with a safe, secure and supportive environment in which to study.

In a recent survey, our international students expressed high levels of satisfaction with the quality and cost of their accommodation (International Student Barometer 2010).

Throughout your studies, we offer immigration and counselling services, English language and study skills support, as well as fun day trips to interesting sites in London and around the UK. Careers If you choose to study at Queen Mary, you will enhance your career prospects in a vibrant, creative and stimulating environment. Our international graduates go on to successful careers both in the UK and overseas. To read more about our careers support, see page 12.

Scholarships We constantly seek to attract the best postgraduate students. To help us do this, we are pleased to offer a range of scholarships to our international students. For more information on eligibility criteria and how to apply for a scholarship, visit www.qmul.ac.uk/international Find out more For more information on studying at Queen Mary, our overseas entry requirements, how to apply, English language support and our current tuition fees, visit www.qmul.ac.uk/international

We also offer a range of specialist support services to help you feel at home, including an airport collection service and a welcome programme at the beginning of the academic year.

Queen Mary, University of London 19

How to apply

Applications should be made on official application forms. There are two ways to apply:

Contact details For general enquiries, please contact:

Apply online Use our online application form (this is the preferred method of application) at www.qmul.ac.uk/postgraduate/apply

Paper-based application Alternatively, to request a paper application form, email the Postgraduate Administrative Officer at maths-pg@qmul.ac.uk or write to the address below. Application forms can also be downloaded at www.qmul.ac.uk/postgraduate/apply Completed applications, including university transcripts and references, should be returned as soon as possible, and no later than 17 August 2012 (for September 2012 entry) to: Administrative Officer (Postgraduate Studies and Research) School of Mathematical Sciences Queen Mary, University of London Mile End Road London E1 4NS UK International students are advised to apply as early as possible.

20 Queen Mary, University of London

Administrative Officer (Postgraduate Studies and Research) Tel: +44 (0)20 7882 5454 email: maths-pg@qmul.ac.uk For further information, please visit www.maths.qmul.ac.uk

School of Mathematical Sciences Queen Mary, University of London Mile End Road London E1 4NS UK Tel: +44 (0)20 7882 5454 email: maths-pg@qmul.ac.uk www.maths.qmul.ac.uk

Cover image: view from the School of Mathematical Sciences building