QMUL_MSc_Mathematical_Finance

Queen Mary, University of LondonMSc Mathematical FinanceEntry 2012

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Contents

Queen Mary, University of London 01

Welcome 2

Programme 3

Modules 5

Staff 9

Student profile 11

Careers 12

Alternative MSc programmes 13

About Queen Mary 14

Open days / accommodation / social life 16

Living in London 18

International outlook 19

How to apply 20

Welcome

Dear Applicant

It is with great pleasure that I welcome you to theSchool of Mathematical Sciences at Queen Mary,University of London and, in particular, to ournew MSc in Mathematical Finance programme,which is provided jointly with the School ofEconomics and Finance. This new specialisedprogramme has been designed to providestudents with the necessary mathematicaltechniques and tools to understand and modelthe complexity of financial markets and tosucceed in a future career in the financeindustry.

The MSc programme in Mathematical Financebrings together two highly respected schools ofQueen Mary, University of London. Expertisefrom the School of Mathematical Sciencesensures that the programme is mathematicallysound, while the School of Economics andFinance contributes with its huge knowledge ofapplied aspects of financial markets. The Schoolof Mathematical Sciences has an excellentreputation, with more than half of its researchjudged to be either ‘world-leading’ or‘internationally excellent’ in the latest ResearchAssessment Exercise (RAE), while the School of Economics and Finance is one of the topEconomics schools in the country, ranked jointsixth in the RAE.

Postgraduate study in Mathematical Finance atQueen Mary is excellent preparation for a varietyof career paths. Past students of the School ofMathematical Sciences and the School ofEconomics and Finance have gone on to havesuccess in the financial sector, industry,government, public services, academia, andinternational organisations such as the IMF.

The MSc in Mathematical Finance will provide you with rigorous training in modernmathematical theories and techniques as applied to finance. You will also be introduced to important numerical techniques andcomputational aspects of mathematical finance,based on C++, the programming language ofchoice for many practitioners in the financeindustry. More details can be found in themodules section of this brochure.

We look forward to welcoming you to Queen Maryand hope that your time with us will be bothrewarding and enjoyable.

Professor Christian BeckProgramme directorMSc Mathematical Finance

02 Queen Mary, University of London

Programme descriptionThe MSc in Mathematical Finance is a specialistone-year postgraduate taught mastersprogramme aimed at providing graduatestudents and professionals with a rigoroustraining and strong analytical and quantitativeskills in finance. This intensive programme willintroduce you to the mathematics used bypractitioners in the field. It covers a wide range of analytical tools applied in quantitative assetpricing and financial derivatives.

The programme is designed for high-calibrescience and engineering graduates who aim topursue careers as quantitative analysts in theprivate sector, government or financialinstitutions. You will learn about financialmodelling, asset pricing theory, and financialrisk management, as well as more theoreticalsubjects such as the theory of stochasticprocesses and stochastic analysis. Scientificcomputing and programming is an importantelement of this programme.

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

Programme outline(1 year full time, 2 years part time)

The study programme consists of six coremodules and two electives with an even splitbetween semesters, and a summer dissertationproject. You will also be offered two pre-sessionalmodules in probability, statistics, financialmarkets and economics, providing a goodopportunity to enhance the necessaryprerequisite knowledge. Three core mathematicsmodules run by the School of MathematicalSciences will cover the most importantmathematical techniques used in mathematicalfinance. Three core economics modules willcover the relevant financial instruments, and willbe run by the School of Economics and Finance.You can choose elective modules from a list ofaround ten modules offered by the two Schools.

AssessmentModule examinations are held between May and early June. Dissertations are evaluated inSeptember. Successful completion of the MScprogramme will result in the award of the degreeof MSc in Mathematical Finance (possibly withMerit or Distinction).


Programme

Programme (cont)

Entry requirementsThe normal entry requirement for the MSc inMathematical Finance is the equivalent of aBritish first or good upper-second class honoursdegree in a subject with a substantialmathematical component: for example,mathematics, statistics, physics, economics,computer science or engineering.

International entryrequirementsNon-native English speakers are required to have a minimum of IELTS 6.5 or equivalent. Moreinformation on our language requirements canbe found at www.qmul.ac.uk/international/englishlanguagerequirements

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

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


InvestmentsThis module introduces students to the keyprinciples in asset pricing and investmentmanagement. It covers risk, return and portfolioconstruction; equity markets and pricing; fixedincome markets and the term structure ofinterest rates; introduction to derivatives markets;applied security analysis; and applied portfoliomanagement.

Semester 1 – Option modulesTime Series AnalysisThis module aims to provide a foundation in time series analysis, in general, and in theeconometric analysis of economic time series, inparticular, offering theory and methods at a levelconsonant with an advanced training for a careereconomist. Topics include: An Introduction toTime Series Analysis for Econometrics andFinance; Vector Linear Time Series Models;Continuous Time Stochastic Models; StrongDependence and Long Memory Models; and Unit Roots and Co-integration.

Semester 1 – Core modulesComputational Methods in FinanceThis module will provide you with the necessarynumerical skills and tools to investigate a varietyof problems in mathematical finance. It is basedon C++, the programming language of choice formany practitioners in the finance industry. Youwill learn about basic concepts of the C part ofC++ such as loops, arrays, functions, andbranching statement, and will then be introducedto the object-oriented programming part of C++.As an application you will deal with binomial treesin C++ and the pricing of various types of optionsin this context.

Foundations of Mathematical Modelling in FinanceThis module will provide you with an introductionto important concepts such as probability theoryand stochastic processes that are useful inmodelling asset price dynamics. The introductionof more advanced tools will be preceded by abrief review of basic probability theory. Importantstochastic processes that underlie many modelsin finance, such as random walks, Brownianmotion, geometric Brownian motion, and thePoisson process, will be discussed. An informaloverview on Ito stochastic calculus and itsapplication in finance will be given. By the end ofthis introductory course you will have achieved asufficient level of competence of selectedmathematical methods to facilitate furtherstudies in mathematical finance.


Modules

Modules (cont)

Mathematical StatisticsThis module covers the classical theory ofstatistical 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 undergraduatestudies. It will cover material approximatelyequivalent to two undergraduate modules, at afast pace and taking a mathematical approach.Topics covered include: conditional probability;hypothesis testing; distribution theory;estimation; multivariate normal distribution; lawsof large numbers and the central limit theorem;confidence intervals; general theory of testing;matrix algebra; least squares; and Gauss-Markovtheorem.

Investment ManagementThis module offers a high-level introduction toconcepts related to investment analysis. Topicstreated include valuation of real and financialsecurities; the principles of investment; valuationof risky securities; portfolio analysis and bondportfolio management; financial marketequilibrium; the CAPM and APT models; capitalbudgeting and risk; and market efficiency.

Econometrics AThe purpose of this module is to provide studentswith the necessary tools for formalising ahypothesis of interest and testing it, writing asimple econometric model, estimating it andconducting inference. The module starts with a review of the classical linear model. We thenanalyse finite sample and asymptotic propertiesof ordinary least squares, instrumental variablesand feasible generalised least squares, under

general conditions. Classical tests, as well asgeneral Hausman tests, and moment’s tests are covered. The case of dependent stationaryobservations is also covered. Finally, nonlinearestimation methods and, in particular, thegeneralised method of moments, are covered.

Topics in Probability and Stochastic ProcessesThis module aims to present some advancedprobabilistic concepts and demonstrate theirapplication to stochastic modelling of real-worldsituations. The topics covered vary from year toyear but may include, for example, limittheorems, renewal theory, and continuous-timeMarkov processes. In addition to exposure toproofs and theoretical material, students developpractical skills through a large number ofproblems and worked examples.

Semester 2 – Core modulesStochastic Calculus and Black Scholes TheoryThis module enables you to acquire a deeperknowledge about the Ito stochastic calculus asapplied to mathematical finance. You will learnabout the role of the Ito integral in solvingstochastic differential equations, and its role indeveloping the Black-Scholes theory for optionpricing. You will also obtain a clear understandingof the simplifying assumptions in the Black-Scholes model. The course will develop pricingmethologies for both vanilla options (Europeancall and put options) as well as exotic optionssuch as barrier options.


Advanced Asset Pricing Modelling This module covers some of the topics analysedby the modern theory of asset pricing. After arecap of CAPM, we concentrate on the Arrow-Debreu approach for valuing cash flows. Next, wecover the consumption-based approach to assetpricing. We conclude with an overview of thetheories that investigate the effects of asymmetricinformation in financial markets.

Financial DerivativesThe purpose of this module is to provide studentswith the theory and practice of pricing andhedging derivative securities. These includeforward and futures contracts, swaps, and manydifferent types of options. This module coversdiverse areas of derivatives, such as equity andindex derivatives, foreign currency derivativesand commodity derivatives, as well as interestrate derivatives. This module also addresses theissue of how to incorporate credit risk into thepricing and risk management of derivatives. Allthe relevant concepts are discussed based on thediscrete time binomial model and the continuoustime Black-Scholes model. The extensions of theBlack-Scholes model are also discussed.

Semester 2 – Option modulesAdvanced Computing in FinanceThis is a follow-up module to ComputationalMethods in Finance. Your knowledge of C++ will be enhanced and further topics of interest in mathematical finance will be numericallyinvestigated. An important topic in this module is the use of Monte Carlo simulations for pricingvarious types of options. The Black-Scholestheory and its connection with PDEs will be

revisited in a numerical context. At the end of thismodule you will also investigate models beyondthe Black-Scholes theory, based on stochasticvolatility, which relate to current research.

Risk Management in BankingThis module deals with the ways in which risks are quantified and managed by financialinstitutions. Among the topics covered are thenature of financial institutions and theirregulation, market risk, credit risk, operationalrisk, liquidity risk and the credit crisis of 2007.

Portfolio Theory and Risk ManagementA very important general problem in finance is to balance investment risk and return. In thismodule you will acquire skills and techniquesto apply modern risk measures and portfoliomanagement tools. Mathematically this involvesthe maximisation of the expectation of suitableutility functions which characterises the optimumportfolio. You will learn about the theoreticalbackground of optimisation schemes and be ableto implement them to solve practical investmentproblems.


Modules (cont)

Financial EconometricsThis module discusses econometricmethodology for dealing with problems in the area of financial economics and providesstudents with the econometric tools applied inthe area. Applications are considered in thestock, bond and exchange rate markets. You will cover the following issues: asset returnsdistributions; predictability of asset returns;econometric tests of capital markets efficiencyand asset pricing models; inter-temporal modelsof time-varying risk premium; nonlinearities infinancial data; value at risk; pricing derivativeswith stochastic volatility (or GARCH) models;modelling non-synchronous trading; andnumerical methods in finance.

Bayesian StatisticsThis module discusses the Bayesian approach to statistics. The topics covered include thelikelihood principle, the exponential family,conjugate priors, use of non-informative priors in linear models, normal priors, exchangeabilitybetween regressions, growth curves, outliers and influential observations, Gibbs sampling,graphical models, advantages and disadvantagesof Bayesian methods. Appropriate examples willbe discussed throughout the module, whichrelate to epidemiological data, randomisedclinical trials, and radiocarbon dating.

Semester 3 – Core moduleMSc Dissertation (10,000 words)



Staff

School of Mathematical Sciences

Dr Rosemary Harris isinterested in stochasticprocesses and non-equilibrium statisticalphysics. In particular, she uses the framework of interacting particlesystems both to studyfundamental aspects of

non-equilibrium physical systems and to developmodels of various applications in whichfluctuations play an important role, for example,vehicular traffic, biological transport and financialmarkets. She is also interested in stochasticprocesses involving memory effects or long-range correlation. She is now part of an EPSRC-funded team applying multidisciplinaryapproaches to understanding travel behaviour.

Professor Christian Beckhas a broad researchinterest covering stochasticprocesses, spatio-temporalchaos, and generalisedstatistical mechanicsmethods for complexsystems. Together withBoltzmann-medalist Eddie

Cohen (Rockefeller University, NY) he hasintroduced the superstatistics concept todescribe complex systems with time scaleseparation. Applications include mathematicalfinance, turbulent flows, scattering processes inhigh-energy physics, traffic delay statistics, aswell as medical and biological applications. Hisresearch in mathematical finance concentrates

on models of stochastic volatility for share priceindices and other equities. He is also interestedin analysing the multifractal properties offinancial time series.

Dr Wolfram Just's researchinterests cover variousareas in appliedmathematics with aparticular focus ondynamical systems theoryand statistical mechanics.He is interested, inparticular, in studying time

delays in dynamical systems, complex dynamicalbehaviour, the control of chaotic motion, theeffect of noise and randomness on dynamicalsystems, and the analysis of experimental timeseries, including economically relevant timeseries. Among his recent work, he has studiedthe modelling of fast modes of motion by noiseand its relevance for climate research. He hasalso investigated the resilience and vulnerabilityof European infrastructure networks with toolsborrowed from statistical mechanics.

Staff (cont)

Dr Hugo Touchette'sresearch focuses on themathematical theory oflarge deviations and itsapplication for studying the typical behaviour andfluctuations of Markovianstochastic processes andstatistical models of

physical systems involving many interactingparticles. He is particularly interested in particlesystems involving long-range interaction andstochastic processes showing long-rangecorrelation. His interest is also shifting nowtowards numerical simulations of rare events in stochastic processes.

School of Economics and Finance

Dr Leone Leonida’sresearch interests aremainly in growth andcorporate finance. He isstudying the effects ongrowth processes andconvergence patterns of structural change (ieindustrialisation) by means

of semi-parametric stochastic kernels and ACFestimation. He also studies the effects on firmvalue and investment of corporate governancemechanisms, exchange rate fluctuations andspill over effects from public capital.

Dr Christopher J Tysonhas research interest in the areas of individualand group decisionmaking. Specifically, he has worked onincorporatingpsychological factors suchas cognitive constraints,

attention and salience, and time inconsistency of behaviour into economic theory, as well as onmore traditional topics (for economists) such asmultilateral bargaining and the theory of utilityfunctions.



Student profile

Name: Brendan O’Neill

Course:MSc Mathematics

Why did you chooseQueen Mary for yourpostgraduate study?Being uncertain about theexact direction of my futurecareer, it was important for

me to have a good variety of modules on offer inmy MSc and to get a taste of different subjects andpotential career paths. When I looked at QueenMary, I was very impressed by the wide variety ofmodules on offer and the fact that they have one ofthe largest mathematics departments in the UK.One nice thing about studying at Queen Mary isthat we are also allowed to take modules at otheruniversities that are part of the University ofLondon, so we are spoilt for choice really.

What in particular do you enjoy about yourcourse/the School of Mathematical Sciences?I really enjoyed the fact that I was able to geteverything I wanted out of my MSc. In my firstsemester, I followed a refresher module onstatistics and then tried new subjects such asactuarial mathematics and financial mathematics.I also perfected my programming skills as part of ascientific computing module. All in all, it was morethan I hoped for from one institution. The generalsupport and advice from the programmecoordinator and his open door policy also made ahuge difference to me.

What are your career plans after you graduate?I am currently looking for work in actuarial scienceand finance. The careers office at Queen Mary hasbeen really helpful in offering advice on how andwhere to look for jobs.

Careers

The College’s careers service is run by a team of dedicated and professional staff. They offeradvice through drop-in sessions and in-depthinterviews, and run an extensive programme ofseminars covering topics such as interview skills;how to deal with psychometric tests; andsurviving assessment centres. You will also beable to use the College’s extensive careers library.To find out more, visit www.careers.qmul.ac.uk

Graduate employmentThe MSc in Mathematical Finance programmewill prepare students for a wide range of careers,especially in the banking and finance sector, aswell as marketing, public services, consultancy,industry and commerce. The analytic andcomputing skills acquired throughout theprogramme are much valued in the financialsector and a number of recent graduates fromthe School of Mathematical Sciences have goneon to work for companies such as the Royal Bankof Scotland, HSBC, Procter and Gamble,Barclays Capital, JP MorganChase and EDFEnergy. First destinations of School of Economicsand Finance graduates include some of the mostprestigious universities in UK, continental Europe and Asia; several independent economicresearch centres and private institutions; many governmental research departments and regulatory bodies, such as the antitrustauthorities and the financial regulatory agencies;some international institutions such as theEuropean Central Bank, the Bank of England, the European Commission, the InternationalMonetary Fund and the World Bank. The chart(right) shows School of Economics and Finance'sstudent destinations, by percentage.


Banking33%

InvestmentBanking23%

InternationalFinance15%

Others17%

EventManagement 8%

Research 4%

MSc MathematicsThe MSc in Mathematics gives an in-depthtraining in advanced mathematics to studentswho have already obtained a first degree withsubstantial mathematical content. Studentssuccessfully completing the MSc will acquirespecialist knowledge in their chosen areas ofmathematics, and the MSc is an excellentpreparation for those who are consideringpursuing research in mathematics.

MSc EconomicsThis is a well-established intensive programmeproviding rigorous training in modern economictheory and applications. It is best suited forstudents who wish to train for careers asprofessional economists in the private sector orthe government, or who wish subsequently tofollow an academic career or to pursue research

in economics. The programme has a researchdissertation component and has recognition as a Research Training degree by the ESRC undertheir “1+3” scheme.

MSc Finance and EconomicsThe MSc in Finance and Economics providesgraduate students and professionals with arigorous training and strong analyticalbackground in finance, financial economics andeconometrics. The intensive programme coversall the analytical tools and the advancedmaterials in quantitative asset pricing,econometrics, financial derivatives, financialeconometrics. You will also cover areas ofspecialisation such as asset pricing andmodelling, international finance, time seriesanalysis and corporate finance.


Alternative MSc programmes


About Queen Mary

One of the UK’s leading research-focuseduniversities, Queen Mary is an inspiring place towork and study. Founded in 1887 as the People’sPalace, Queen Mary was admitted to theinternationally renowned University of London in 1915.

Among the three largest colleges of the Universityof London, Queen Mary is the only one with a fullyintegrated campus, where you will live, study andsocialise. With more than 15,000 students, youcan look forward to joining a thriving, andintellectually stimulating community. Based inEast London, from Queen Mary you can clearlysee "The Gherkin" in the City of London and thenew financial district of Canary Wharf.

The School of Mathematical Sciences is one of the largest UK mathematical sciencedepartments and is one of five Schools in theFaculty of Science and Engineering at QueenMary. The College has recently invested in a new foyer and entrance area for theMathematical Sciences Building, with a Penrosetiling pattern wrapped around the outside of thebuilding.

As a member of the 1994 Group of research-focused universities, Queen Mary has made astrategic commitment to the highest quality ofresearch. This vibrant research environmentmeans that our students have access to some of the world's leading experts in their chosensubjects. We have invested in this principlethrough a systematic programme of recruiting to Queen Mary the best academic staff in theirdisciplines from around the world. We are

interested in academics at the peak of their careers who have made a substantialcommitment to their field, as well as those whoshow promise. This creates an inspiring anddynamic atmosphere, particularly suitable forpostgraduate study.

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


Postgraduate study at Queen Mary • Queen Mary invests over £2m into graduatestudentships and bursaries each year

• 2,000 postgraduate students following taughtprogrammes 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 studyingenvironment on the Mile End Campus

Postgraduate resourcesWithin the School of Mathematical Sciencesthere are formal and informal seminars, colloquiaand small study groups in the various areas of theSchool’s research activity – many in collaborationwith other colleges of the University of London.Postgraduate students and staff participate in allthese activities.

We have excellent study facilities. MSc studentsshare one of several large offices with a dedicatedcomputer network and campus-wide wifi. The College Library has many mathematical,statistical and financial journals, which aresupplemented by an extensive electronicperiodicals library. There are also exceptionallibraries in other London University Colleges as well as The London Mathematical SocietyCollection and the Royal Statistical SocietyLibrary.

Open days / accommodation / social life

Visit usApplicants will be invited to attend one of our OpenDays, which provide an opportunity to see theCollege campus and meet both staff and students.You can also attend one of our informal CampusTours or one of our maths-specific events runningthroughout the year. For full details on all of theseevents and to find out how to book a campus tourvisit www.qmul.ac.uk/visitus

AccommodationQueen Mary has a range of on-campusaccommodation for new full-time postgraduatestudents coming from outside the London area.There is no deadline for applying foraccommodation, but you should apply as early as possible for on-campus accommodation. Inaddition, the College accommodation office canhelp students and visitors to find a wide range ofplaces to live, usually within an easy bus or train rideof the College. For more information, please visitwww.residences.qmul.ac.uk

Social lifeDuring your time at Queen Mary you will have manyopportunities to get involved in a diverse socialscene. The Students’ Union provides many socialsocieties as well as sport clubs. There are variousannual social events for postgraduate students,such as the Christmas party and a summer party tohelp celebrate all your hard work throughout theacademic year. MSc students are also welcome toattend research seminars, or to work as a studentmentor or ambassador.

Student societies The Queen Mary Economics Society aims to provideits members with information and advice, anopportunity to socialise and network, and to act as a portal for members to express their views andopinions on all things economics. By joining theSociety, members will have the opportunity tonetwork with City professionals, gain valuable skillsfor careers in the financial sector, gain an insightinto investment banks and other financialinstitutions, develop interview and assessmentcentre skills (specifically for careers in finance), and attend careers sessions and presentations.

The Queen Mary Mathematics Society organisessocial events for students from the School ofMathematical Sciences as well from other Schools.Activities include meals, parties, poker and otheractivities to bring together students from differentwalks of life.


MSc Investment ClubThe Investment Club operates as a micro-fund andprovides students a chance to familiarise themselveswith the financial world. The club offers rotationalpositions so that every student is guaranteed bothtrader- and analyst-related work. Everyone can joinand it is a great opportunity to build up financialskills to impress future employers, to enhance yourCV, or merely to see if this is the right career choicefor you!


Queens Building, Mile End CampusStudent Village

Living in London

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

Living in London also gives you access tooutstanding art galleries, theatre, and live music,as well as first-class sporting and otherrecreational facilities. There are over 250museums and galleries, and the majormuseums, 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 ofCanary Wharf. With so many businesses locatedin the nation’s capital you will be well-placed tobuild your connections with the worlds ofinnovation and commerce.

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

Our home in the east Queen Mary is based in the exciting andculturally diverse area of east London. The hub ofLondon’s creative and cultural community, eastLondon represents the best of the city – rich inhistory, yet always looking to the future, andethnically diverse, while retaining a uniquelyBritish character.

At Queen Mary we are proud of our roots in thearea. In 1887, Queen Mary College began life asthe People’s Palace, a philanthropic centre forthe education of east Londoners. We still workclosely with our local community today, forexample, running a free Legal Advice Centre.

Olympic legacy The Olympic Games 2012 will have taken placeby the time you arrive at Queen Mary, but theimpact they make on the surrounding area will beapparent for years to come with better transportlinks, improved infrastructure and first-classsporting facilities – some of which will beavailable for use by the public.

The Olympic Park is only a couple of miles fromour Mile End campus, and one stop on the tube.At the time of going to press, the plan is totransform it into one of the largest urban parkscreated in Europe for more than 150 years. Formore information, see www.london2012.com


International outlook


Queen Mary welcomes students from all over theworld and offers a lively, multicultural environment.We currently have over 5,000 international studentsfrom more than 125 countries studying with us. Wehave the third highest percentage of internationalstudents and staff in the UK, and the 16th highestin the world*.

Global talentWe value the contribution that our internationalstudents make to the life of the College. As aninternational student you will offer differentacademic approaches and a range of lifeexperience, creating a rich learning environment.

The influence of so many cultures also feeds intothe social life of the College. This is reflected inthe diversity of our student-run clubs andsocieties, which cover politics, culture, religionand a range of sports.

How we support youOur campus provides you with a safe, secure and supportive environment in which to study. In a recent survey, our international studentsexpressed high levels of satisfaction with thequality and cost of their accommodation(International Student Barometer 2010).

We also offer a range of specialist supportservices to help you feel at home, including an airport collection service and a welcomeprogramme at the beginning of the academicyear.

Throughout your studies, we offer immigrationand counselling services, English language andstudy skills support, as well as fun day trips tointeresting sites in London and around the UK.

CareersIf you choose to study at Queen Mary, you willenhance your career prospects in a vibrant,creative and stimulating environment. Ourinternational graduates go on to successfulcareers both in the UK and overseas. To readmore about our careers support, see page 12.

ScholarshipsWe constantly seek to attract the bestpostgraduate students. To help us do this, we arepleased to offer a range of scholarships to ourinternational students. For more information oneligibility criteria and how to apply for ascholarship, visit www.qmul.ac.uk/international

Find out moreFor more information on studying at QueenMary, our overseas entry requirements, how to apply, English language support and ourcurrent tuition fees, visitwww.qmul.ac.uk/international

*Times Higher Education (THE) World University Rankings 2011

How to apply


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

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

Paper-based applicationAlternatively, to request a paper application form,email the Postgraduate Administrative Officer [email protected] or write to the addressbelow. Application forms can also be downloaded at www.qmul.ac.uk/postgraduate/apply

Completed applications, including universitytranscripts and references, should be returned assoon 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.

Contact detailsFor general enquiries, please contact:Administrative Officer (Postgraduate Studies and Research) Tel: +44 (0)20 7882 5454email: [email protected]

For further information, please visitwww.maths.qmul.ac.uk

School of Mathematical SciencesQueen Mary, University of LondonMile End RoadLondonE1 4NSUKTel: +44 (0)20 7882 5454email: [email protected]

Cover image: view from the School ofMathematical Sciences building

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