School of Mathematical Sciences Postgraduate Study 2018
maths.qmul.ac.uk
Our students working together in the Mathematical Sciences Foyer
2 maths.qmul.ac.uk
Contents
Welcome to Queen Mary University of London (QMUL)
4
Join Queen Mary
6
Why choose us?
8
Careers and alumni
12
Our masters programmes
14
Our research
24
Funding your masters
28
Essential information
30
Your guide to London
32
Our masters programmes MSc Mathematics
14
MSc Network Science
16
MSc Mathematical Finance
18
MSc Financial Computing
20
MSc Business Analytics
22
maths.qmul.ac.uk 3
The Queens’ Building, Mile End, has a proud association with not one, but four queens: Queen Victoria; Queen Mary (wife of King George V); Queen Elizabeth The Queen Mother; and our Patron, Queen Elizabeth II
QMUL highlights • 9th in the UK among multi-faculty universities (Research Excellence Framework 2014) • 162 nationalities among students and staff making us one of the world’s most diverse universities (December 2016) • Brand new £39m Graduate Centre with dedicated space for postgraduates • £137m research income (2015/16) • More than 550 masters students benefited from scholarships in 2016/17 • 130 years of education, support and success in the capital (est. 1887) • One of the largest residential campuses in London at Mile End • Member of the Russell Group of leading UK universities. 4 maths.qmul.ac.uk
Welcome to Queen Mary University of London (QMUL) Queen Mary has been at home in the East End since 1887. Starting out as a Victorian ideal, our founders aspired to create a place where everyone would have access to the same opportunities in education, recreation and culture – regardless of background. We’ve continued to grow throughout our 130 years, opening centres across the city and bringing students and staff together to study from all over the world. One of the first colleges to provide higher education to women, Westfield College, joined us in 1989, and the internationally distinguished medical colleges of St Bartholomew’s and the Royal London Hospitals combined to form our own medical school in 1995. Today, we are one of the UK’s top research universities and our postgraduate programmes offer a chance to explore subjects as diverse as the world in which we live. We would love for you to become a part of our story. Come and share our knowledge We know our postgraduate students are passionate about their subjects. In the tradition of our early expansion, we’ve continued to develop degrees across our world-leading expertise, from humanities and social sciences to medicine, dentistry, science, and engineering. Our programmes are directly informed by our academics’ latest research work. As professionals, they work side-by-side with industry, government, business, communities and charities. In doing so, they understand the demands of modernday society and can, in turn, share their insights with you.
Become a part of the capital We retain close links with our local communities across London and remain dedicated to public good. We are an intrinsic part of east London, and have five campuses across the capital. Set beside the beautiful and historic Regent’s Canal, our main site at Mile End is one of the largest residential campuses in the city and is home to our new £39m Graduate Centre. With the City of London to our west, the Queen Elizabeth II Olympic Park to our east, Canary Wharf and Docklands to our south and beautiful Victoria Park to our north, you’ll be in the perfect position to explore the capital. Meet us – in person or online Our Postgraduate Open Evenings offer you the chance to explore our campus and meet our tutors and students. If you can’t visit in person, don’t worry; we run Postgraduate Virtual Open Days online too. We also have representatives in 51 countries and staff who regularly travel overseas. For more information and a list of open events, see page 31 or qmul.ac.uk/visitus
maths.qmul.ac.uk 5
Join Queen Mary and become a part of our story
Love London
Immerse yourself in a capital city
Explore your passion Work side-by-side with top academics
Join a global community Meet people from across the world
Empower others Contribute to society
Advance your career Stand out in a competitive jobs market 6 maths.qmul.ac.uk
View from our Mile End campus maths.qmul.ac.uk 7
Why choose us?
Excellent reputation
When you join the School of Mathematical Sciences at QMUL, you will be welcomed into a diverse and supportive family of staff and students from all over the world. We are seeking students with a passion for their subject; it is your intellectual curiosity teamed with academic excellence which will make you stand out amongst your peers. Our range of core and joint programmes provides flexibility for you to pursue your academic interests in an engaging and supportive environment. Our academic staff includes international leaders in many areas of mathematical research, as well as many with extensive industry experience. The School is a hive of activity, providing a vibrant intellectual space for postgraduate study – this is a place of both academic and personal discovery. The School holds a Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology within higher education and research.
87%
of our research was judged to be world-leading or internationally excellent (Research Excellence Framework 2014)
8 maths.qmul.ac.uk
London location
Our convenient location in east London means you will have the world-renowned financial districts of the City and Canary Wharf on your doorstep – perfect if you are considering a career in finance. Furthermore, our strong links with industry mean you will receive invitations to a range of in-house careers and recruitment events.
Innovation in teaching
With a department of more than 60 academic staff, we offer diverse postgraduate study opportunities across the discipline, from pure and applied mathematics to finance and statistics. You will be taught by helpful, enthusiastic lecturers who are experts in their fields and are regularly published in top mathematical journals. As a postgraduate student with us, you will be able to take part in formal and informal seminars and colloquia through which we host visiting academics and seminar speakers from across our research fields. Students on our joint programmes can benefit from both the teaching expertise and facilities of our partner schools: for example, our exclusive trading suite, through which students on our finance-related programmes will have the opportunity to undertake the prestigious BMC (Bloomberg Market Concepts) certification.
“In the School of Mathematical Sciences, we welcome intellectually curious students. We will nurture both your passion for mathematics and your drive to succeed in your chosen career path� Professor Boris Khoruzhenko, Head of School
maths.qmul.ac.uk 9
Why choose us?
Career prospects
Our programmes are designed to give you the expertise you need to succeed in your chosen career. Whether you aspire to work in the corporate world or go on to PhD study, you will have access to the knowledge and industry experience of leading academics and practitioners. Many of our MSc programmes are delivered across two academic schools, each contributing unique insights into your chosen field. There are also opportunities to develop experience and skills through extracurricular activities such as the student-managed Queen Mary University of London MSc Investment Fund (QUMMIF), which has responsibility for over £40,000 of investments.
Generous scholarships
We want to attract the best students to QMUL, and every year we offer a generous range of scholarships for academically excellent students. As a guide, for 2017 entry, more than 20 scholarships, each worth up to £5,000, were available to entrants across our programmes.
“QMUL is a great environment for learning and it is being enhanced by investment in new facilities” Oliver Richardson, Network Science MSc 2017
10 maths.qmul.ac.uk
Outstanding facilities
We are making significant investments to consistently improve and develop facilities for our students across QMUL. In early 2017, we opened the doors to our new £39m Graduate Centre, which provides work areas and social spaces tailored specifically to the needs and working patterns of QMUL’s postgraduate students. This seven-storey building offers 7,700 square metres of teaching and learning space. This is in addition to spaces such as our Mile End Library with group and silent study rooms, which are open to all students. Within the School of Mathematical Sciences, we are investing approximately £19m in a transformative project to create an inspiring, collaborative space for our community of students and staff. As well as high-quality teaching space, there will be a range of private and group study areas throughout the building, and a new social space to provide an informal hub. Postgraduate students will benefit from a dedicated computer lab and additional study room within this new space. This project is due to be completed in early 2019. Find out more about this exciting development and follow the progress of the Mathematical Sciences Building project via our dedicated website: maths.qmul.ac.uk/ournewbuilding
Artist’s impression for reference only. Credit: Kendall Kingscott Ltd
School highlights • Scholarships for outstanding students, worth up to £5,000 • Option to undertake an Industrial Placement as part of our Financial Computing MSc • A dedicated Careers Consultant and an Internships Co-ordinator • Excellent support, including a Student Support Officer and an Academic Adviser assigned to every student • Opportunities to gain official certifications, including Microsoft Excel Specialist Certification and Bloomberg Market Concepts • Networking opportunities through links with alumni, associated institutions and leading employers, including Citigroup, Moody’s Analytics, and the Bank of England
“My Mathematical Finance MSc enabled me to promote my academic credentials and secure a fully funded PhD position” Anastasia Lashova, Mathematical Finance MSc 2014, Now a PhD candidate at Warwick Business School maths.qmul.ac.uk 11
Careers and alumni
The study of mathematics has the potential to open up many different career paths, and this has enabled our alumni to work across a wide variety of sectors. Many of our postgraduate alumni apply their degree knowledge directly, working in finance, accountancy or actuarial professions. Others translate their skills and knowledge across broader industries such as management consulting, marketing, engineering, teaching and the public sector.
Career destinations
The valuable skills developed during postgraduate studies, along with opportunities for extracurricular development and work experience, have enabled our students to secure roles with a variety of employers, including: • Audit Associate, PwC • Associate Analyst, Moody’s Investors Service • Business Development Manager, Next • Credit Analyst, Santander • Risk Analyst, TwentyFour Asset Management • Statistical Officer, UK government • Tax Officer, HMRC • Technology Consultant, Efficio • Trade Analyst, Bloomberg Some of our students have opted to continue their studies and research in mathematics or related subjects, securing PhD funding at QMUL or a number of other excellent 12 maths.qmul.ac.uk
institutions across the world. These include Imperial College London, Warwick Business School and COMSATS Institute of Information Technology (CIIT) Lahore.
Careers support
QMUL’s Careers team can work with you to support your career planning and to connect you to employers through their fairs and events. Services include: • one-to-one appointments to help with career direction, to review your skills and experience to-date, to give advice on job applications, to offer insight into the job market and to give mock interview preparation • tailored workshops for career preparation and job hunting • employer-led events focusing on sectors relevant to your knowledge or area of interest • recruitment support for internships, part-time jobs and work placements.
“The Mathematical Finance MSc equipped me with the advanced knowledge and expertise necessary to succeed in the competitive financial world. I joined a large US financial institution just a week after completing my MSc dissertation” Duy Nguyen, Mathematical Finance MSc 2015, now working at Moody’s Analytics
Enterprise support
Many students and graduates across Queen Mary start new or grow existing business and social ventures each year. QMUL’s Enterprise team can help you with support through: • funding • one-to-one advice and workshops • workspace • access to experts and entrepreneurial networks. Visit: careers.qmul.ac.uk
“I have thoroughly enjoyed my MSc – the lecturers have always made me feel welcome. I feel as if the modules have been tailored to my interests and have prepared me for a promising career in whatever field I choose, whether that be in research or the corporate world” Arun Sharma, Mathematics MSc 2015
Student profile: Pallavi Mohanty Studied: Mathematical Finance MSc 2016 How has your QMUL degree helped with your career? My masters experience has made a massive difference to my employability. I have added to my CV with core skills like C++, VBA and a certification in Excel – so people can see how much I’ve developed since my undergraduate degree and that I already have a strong basis in these areas before I start working. They also say I have much more confidence now! I think that’s also thanks to my experience doing peer reviews and working as a Student Ambassador. What support did you get from lecturers and staff? I had lots of help from the Careers and Enterprise team: interview practice, CV workshops, contact with major employers,
and guidance about graduate roles and application processes. The Careers Consultants are all very experienced – they’ve been through it themselves, so you trust their advice. It’s a very supportive environment, not just from the lecturers but my fellow students too – it’s all about teamwork. The Course Director has a big impact on our success – he has so much knowledge and experience of the finance industry. He really pushes us, but also helps us to balance our work, lectures and revision. What do you want to do when you graduate? I plan to train as an Actuary. I’ve always been interested in pensions and investment, particularly since my undergraduate actuarial module. I did some research after that and realised how important these concepts are to your life!
maths.qmul.ac.uk 13
Our masters programmes
Mathematics MSc One year full-time, two years part-time qmul.ac.uk/msc-maths
Mathematics graduates are highly sought after across a broad spectrum of industries, due to their rigorous numerical skills, problem-solving capabilities and analytical approach. As part of this programme, you will have the opportunity to develop expertise in computing and research methods, alongside mathematics, further enhancing your academic and professional credentials. Advanced mathematics is intrinsically beautiful yet also underlies many aspects of everyday life. Consequently both the breadth of current research and its power in applications are reflected in this programme. Modules are offered in pure mathematics (especially algebra and combinatorics), applied mathematics (especially dynamical systems and networks, and including astronomy and relativity if desired), and probability and statistics. This results in a flexible MSc which opens doors to further research or top careers requiring mathematical ability. Our alumni have gone on to roles spanning statistical analysis, technology consulting, auditing, software engineering, teaching and more, working across the public and private sectors. Structure The programme consists of eight taught modules (of which seven can be chosen according to your own areas of interest) and a dissertation. We offer a broad range of dissertation topics giving you the possibility 14 maths.qmul.ac.uk
to interact with our world-leading research groups and even develop your own original contribution – excellent preparation for those interested in pursuing a PhD in mathematics or statistics. Examples of past projects include expositions of classical groups and simplicity, deterministic chaos, the rendezvous search problem, and methods for proving Sylow’s theorem. Compulsory modules • Research Methods in Mathematical Sciences • MSc Dissertation Elective modules include: • Advanced Combinatorics • Applied Statistics • Bayesian Statistics • Complex Systems • Computational Statistics • Financial consulting • Further Topics in Algebra • Graphs and Networks • Group Theory • Measure Theory and Probability • Processes on Networks • Topics in Probability and Stochastic Processes • Topics in Scientific Computing Further information about these modules is available online at: qmul.ac.uk/msc-maths For details of our entry requirements, see page 30.
“I chose this programme because the selection of modules gives a solid foundation in maths and filled the gaps in my knowledge. The modules were thought-provoking; I relished working things out for myself as well as studying together to tackle problems and identify solutions� Maria Sultana, Mathematics MSc 2016 maths.qmul.ac.uk 15
Our masters programmes
Network Science MSc One year full-time, two years part-time qmul.ac.uk/msc-net-sci
This specialist masters programme is run jointly with the School of Electronic Engineering and Computer Science. The programme provides a thorough grounding in analytical and numerical methodologies, as well as mathematical modelling as applied to networks. By developing core competencies, such as the design of numerical simulations and analysis of big data, you will be prepared for many career opportunities in data science, financial consulting, software development and other network and modelling-related industries. Network theory is a very active and rapidly evolving research field that stands between graph theory, complex systems and data analysis. It addresses mathematical and numerical description, the modelling of architecture, and the dynamics of complex systems composed by the many interacting units that show collective behaviour. Its impact and applications outside academia pervade technological sectors such as communications (internet, transportation networks), biostatistics and network biology (brain modelling, postgenomic era), infrastructures (energy networks, road networks, urban mobility) and public health (epidemic spreading models) to name a few. Through this programme, you will be trained in the most recent advances of network science across these applications.
16 maths.qmul.ac.uk
Structure The programme consists of eight modules and a dissertation, which could tackle a variety of research areas including: epidemiology and public health, complex networks and multiplexes, infrastructure, transportation and energy networks, time series analysis and networks, or systems biology. Compulsory modules • Graphs and Networks • Processes on Networks • Research Methods in Mathematical Sciences • Topics in Scientific Computing • MSc Dissertation Elective modules include: • Complex Systems • Computational Statistics • Data Mining • Database Systems • Digital Media and Social Networks • Dynamical Systems • Financial Programming • Machine Learning Further information about these modules is available online at: qmul.ac.uk/msc-net-sci For details of our entry requirements, see page 30.
“This programme allows you to focus on the underlying mathematical concepts, analysis and modelling of complex networks and also to gain important transferable skills in computing and data analysis� Harvie Chiu, Network Science MSc 2016 maths.qmul.ac.uk 17
Our masters programmes
Mathematical Finance MSc One year full-time, two years part-time qmul.ac.uk/msc-math-fin
Designed to equip talented individuals with the skills necessary for a successful career in finance, this MSc brings together the strengths of the School of Economics and Finance alongside the School of Mathematical Sciences to give an in-depth understanding of the subject.
about a range of important numerical tools and techniques, and undertake a substantial research project under expert supervision in your chosen area of interest. Past dissertation topics have covered areas such as the distribution of loan portfolio value; passport options; the Heston stochastic volatility model; pricing American options using Monte Carlo; and asset pricing with jump diffusion models.
This is a business-focused programme led by a former senior investment banker and taught by a number of lecturers with significant experience of working in the finance industry. Your learning will be supported by real life examples and through the development of practical skills. This rigorous training will prepare you for a career in quantitative analysis, trading, financial engineering and structuring, risk management, and software development.
Compulsory modules • Computational Methods in Finance
In addition to academic work, you will benefit from a host of optional training workshops and extracurricular activities to help develop the key skills sought after by top financial institutions. For example, as well as the Microsoft Excel Specialist Certification, you will have the opportunity to undertake the prestigious Bloomberg Market Concepts certification through access to our exclusive trading suite.
• Alternative Investments
Structure The programme consists of eight taught modules and a dissertation. You will develop an advanced understanding of the mathematical models used in finance, learn 18 maths.qmul.ac.uk
• Foundations of Mathematical Modelling in Finance • Investments • MSc Dissertation • Time Series Analysis Elective modules include: • Advanced Computing in Finance • Applied Risk Management for Banking • Bond Market Strategies • Credit Ratings • Financial Programming • Portfolio Theory and Risk Management • Valuation and Private Equity • Stochastic Calculus and Black-Scholes Theory Further information about these modules is available online at: qmul.ac.uk/msc-math-fin For details of our entry requirements, see page 30.
“My QMUL experience has made a massive difference to my employability. I’ve added core skills like C++, VBA and a certification in Excel to my CV so people can see how much I’ve developed since my undergraduate degree” Pallavi Mohanty, Mathematical Finance MSc 2016, now working at Goldman Sachs maths.qmul.ac.uk 19
Our masters programmes
Financial Computing MSc One year full-time, two years part-time, two years full-time with industrial experience qmul.ac.uk/msc-fin-comp
Financial institutions rely on a blend of mathematics, technology and finance to develop, enhance and sustain their competitive edge. This unique programme is delivered jointly with the School of Electronic Engineering and Computer Science, combining their computer technology expertise with our mathematical finance content. As such, this MSc allows numerate graduates to develop the skills and knowledge needed for a professional career in the profitable and intellectually challenging intersection of mathematics, finance and technology. Due to new electronic trading platforms, improved risk management and pricing accuracy, as well as the high-performance computing implications of enhanced regulatory requirements, the financial industry is undergoing a second wave of technological transformation. As a result, there is a high demand from investment banks, hedge funds, financial software companies, brokerage and consultancy firms, and other types of businesses developing similar ways of working, for numerate and technologically capable graduates. The Financial Computing MSc is aimed at science and engineering graduates with mathematical and computer programming experience. 20 maths.qmul.ac.uk
During your studies you will have the opportunity to undertake professional certifications, including Microsoft Excel Specialist Certification and SAS. Structure A combination of technology and financial mathematics, this programme contains modules related to up-to-the-minute industry challenges such as high-performance computing and GPU (graphics processing unit) development. Compulsory modules • Financial Programming • Foundations of Mathematical Modelling in Finance • Introduction to Object-Oriented Programming • Topics in Scientific Computing • MSc Dissertation Elective modules include: • Advanced Computing in Finance • Advanced Object-Oriented Programming • Big Data Processing • Functional Programming • Machine Learning • Parallel Computing • Portfolio Theory and Risk Management • Stochastic Calculus and Black-Scholes Theory Industrial placement Students who take the Financial Computing with Industrial Experience MSc have the opportunity to undertake a year-long paid industrial placement as part of their MSc programme. Further information about these modules is available online at: qmul.ac.uk/msc-fin-comp For details of our entry requirements, see page 30.
“Financial Computing is an exciting area to work in – there are lots of opportunities to develop skills which are desirable to the industry, like programming and mathematical modelling� Mincai Hu, Financial Computing MSc 2017 maths.qmul.ac.uk 21
Our masters programmes
Business Analytics MSc One year full-time
qmul.ac.uk/msc-bus-analytics The Business Analytics MSc is a block-taught programme delivered in collaboration with the School of Business and Management. It is aimed at highly numerate students who are interested in developing the statistical and business skills required to succeed in the digital economy. Our programme will take you beyond analytics and programming and teach you how businesses are structured, how they operate, and how digital skills are used to enhance business performance. You will develop an awareness of the leadership and organisational challenges associated with large-scale change projects driven by the digitisation of businesses, and will foster important leadership qualities such as communication, negotiation and team work.
Structure You will be exposed to real-world cases from different markets and countries and learn from the experiences of current managers working in a wide range of sectors through the Masterclass module. You will also have the opportunity to work on a group consultancy project in collaboration with an industry partner. Compulsory modules • Programming for Business Analytics • Data Analytics • Strategic Analysis • Leadership Skills for Business Analytics • Experiments for Business Analytics • The Masterclass in Business Analytics • Group Project Elective modules include: • SAS for Business Intelligence
The academics leading this programme have strong links and research collaborations with industry partners and IT start-ups in London and Europe. One of the course leaders was formerly Global Head of FX Quantitative Research at Citigroup, while the other has extensive experience in research and consulting on entrepreneurship, innovation management and IP strategy.
• Time Series Analysis for Business
You will be given the opportunity to obtain Microsoft Office and SAS certification, and will learn how to use tools such as R and SQL.
For details of our entry requirements, see page 30.
22 maths.qmul.ac.uk
• Optimisation of Business Processes • Project Management • Entrepreneurship Further information about these modules is available online at: qmul.ac.uk/msc-busanalytics.
“According to recent industry research, the biggest skills gaps in the technology sector are found in the field of business analytics; therefore, graduates who have good intuition and can translate statistical data intelligently are ‘rock stars’ in the organisations they work for” Dr Georg von Graevenitz, Programme Director, Business Analytics MSc
maths.qmul.ac.uk 23
Our research
Research in the School of Mathematical Sciences is diverse, with expertise in a range of pure and applied topics. Masters students on our joint programmes will also learn from experts in our partner schools, whose research spans the complementary worlds of economics and finance, business and management, and computer science. Our research expertise includes:
Algebra
Algebra is a key strand which links together the world of mathematics. It encompasses the basics of solving equations through to finite and infinite group theory. This core subject has strong links to combinatorics and geometry and has applications across statistics and physics as well as in the design of computer algorithms and databases.
Combinatorics
Combinatorics is the study of finite or countable discrete structures. We have a long tradition in this area and are home to one of the strongest research groups in the UK. Research topics in this area include: extremal and analytic combinatorics, random structures, discrete geometry and matroid theory, and computational complexity.
Complex systems and networks
Network science is a popular and highly relevant field with applications across sectors including telecoms, computing, biology, social networks as well as technological developments such as smart cities. We carry
24 maths.qmul.ac.uk ph.qmul.ac.uk
out research in collaboration with industry partners to apply our studies to real-life problems. Our Network Science MSc gives students experience analysing big data and prepares them for a wide range of careers across data science, consulting, finance and computing.
Dynamical systems
Mathematical models can be used to describe how both real and abstract systems change in time and, in particular, to predict their future dynamics. Our research in this area includes work on nonlinear behaviour, chaos and fractals, as well as the mathematical foundations of Ergodic theory. Dynamical systems applications can be found across science, engineering, economics and medicine; from the behaviour of a flock of birds to the pendulum swing of a clock, or seemingly unpredictable meteorological phenomena.
Statistical physics
Statistical physicists are interested in the large-scale properties of systems made up of many interacting components (eg molecules) whose small-scale dynamics have an element of randomness. One current emphasis is the study of non-equilibrium processes and their fluctuation properties. Beyond physics, the techniques of stochastic modelling can be applied to the understanding of typical and rare behaviour in situations such as traffic flow, opinion dynamics, and biological transport.
Professor Leonard Soicher discussing project work with a student in shared study space
“I work in algebra, combinatorics and computation and am the author of the GRAPE and DESIGN packages in the GAP computer system. I am inspired by the way the internet allows mathematical ideas, publications and software to be so quickly and efficiently available to all� Leonard Soicher, Professor of Mathematics maths.qmul.ac.uk 25
Our research
Financial mathematics
The financial sector relies on a wide range of mathematical theories to model, predict and explain the behaviour of individuals, markets and economies. Applied probability, statistics, network theory, analysis and computational mathematics are all key to this discipline. As such, academics teaching on our Mathematical Finance and Financial Computing MSc programmes have diverse research interests, including financial derivatives pricing, investment decision valuation, financial systems risk, energy management, and financial modelling.
Geometry
Our research expertise covers a wide spectrum of geometry and analysis, including algebraic, differential and noncommutative geometry, functional and harmonic analysis, mathematical relativity, model theory, operator algebras, quantum algebra and topology.
26 maths.qmul.ac.uk ph.qmul.ac.uk
Probability and statistics
Probability is both a fundamental way of viewing the world and a core area of mathematics. Probability theory is concerned with the analysis of models of random phenomena, as occur in many branches of science. Probabilistic predictions apply to repeated experiments and appear as estimates of likelihood. Our research includes applications of probability and statistical modelling across the realms of physics, networks, epidemiology, finance and more. For further information about our research in the School of Mathematical Sciences, including more about our work and publications, go to: maths.qmul.ac.uk/research
Dr Matthew Fayers works through a mathematical problem during a tutorial
“I enjoy algebra because of its rigidity, and the possibility of classifying certain kinds of structure (sometimes with surprising results). My area of algebra in particular enjoys a fascinating interplay with combinatorics of finite objects and this relationship leads to beautiful results� Dr Matthew Fayers, Reader in Pure Mathematics
maths.qmul.ac.uk 27
Funding your masters
We offer a generous package of scholarships for academically excellent students. As a guide, for 2018 entry we expect to offer the following scholarships and bursaries: MSc Excellence Scholarship
Applicants achieving an upper second-class or first-class honours degree may be automatically considered for an Excellence Scholarship worth up to £5,000. More than 20 such scholarships were made available for 2017 entry, and were awarded to both Home/EU and Overseas applicants. There is no need to complete a separate application for these awards; you will be considered on the basis of the information you provide in your programme application. Excellence Scholarships are available across our Mathematics, Mathematical Finance, Financial Computing, and Network Science MSc programmes.
Tuition fees
You can find a full list of both UK/EU and international tuition fees at: qmul.ac.uk/ tuitionfees
QMUL funding
We want to attract the best students to QMUL, regardless of their financial situation. Every year we offer a range of scholarships for academically excellent students. For the latest information, visit: qmul.ac.uk/postgraduate/taught/ funding_masters As a guide, in 2017 we were able to offer the following: Commonwealth Scholarships (international students only) QMUL worked in partnership with the Commonwealth Scholarship Commission in the UK to offer a wide range of scholarships for postgraduate study at masters and PhD level. Scholars from developing and developed Commonwealth countries were eligible to apply for these awards. Chevening scholarships (international students only) This is a worldwide scheme to fund masterslevel study for international students, administered by the UK’s Foreign and Commonwealth Office. QMUL attracted more than 80 Chevening Scholars in 2016/17. Visit: chevening.org or your local British Council office: britishcouncil.org
20+ Scholarships worth up to 28 maths.qmul.ac.uk
£5,000
QMUL Alumni Loyalty Awards If you are a Queen Mary graduate, you may be eligible for our Alumni Loyalty Award for masters study (£1,000).
Postgraduate Loan (Home/EU students only) The government’s Postgraduate Loan offers up to £10,280 per degree programme for 2017 entrants. The Loan is available for any taught masters programme or Master of Research (MRes), including part-time study. You must be aged under 60 on 1 August of the year in which you start your programme, and other eligibility criteria will also apply (see the government’s website). If you already hold a masters degree or higher level qualification, you won’t normally be eligible for this Loan.
For further information on how to apply, eligibility criteria, payment information, and loan repayments, including salary scales and interest rates, visit: • The UK government’s website: www.gov.uk/postgraduate-loan • QMUL’s Postgraduate Funding advice guide: welfare.qmul.ac.uk/guides/ postgraduate-funding • QMUL’s Funding a Masters webpages: qmul.ac.uk/postgraduate/taught/funding_ masters
maths.qmul.ac.uk 29
Essential information
Contact
School of Mathematical Sciences Tel: +44 (0)20 7882 5440 Email: maths@qmul.ac.uk Visit: maths.qmul.ac.uk For admissions enquiries, please email: mathpgadm@qmul.ac.uk
Entry requirements
The majority of our applicants will have an undergraduate degree with first-class or upper second-class honours (or international equivalent). Offers will typically be made at 2:1 level (upper second-class) or equivalent. In some cases, your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes. Please see below for details about which undergraduate degree disciplines are required for each of our programmes. For Mathematics MSc: For this programme, we expect you to have completed an undergraduate degree in mathematics, or in mathematics with another subject such as statistics, philosophy, physics or computing. Your undergraduate modules must provide sufficient background to enable you to take an appropriate selection of our MSc modules.
30 maths.qmul.ac.uk
For Financial Computing, Mathematical Finance, and Network Science MSc programmes: Students applying to these programmes should have studied a subject with a substantial mathematical component at the undergraduate level. We welcome those from a variety of relevant disciplines including mathematics, statistics, physics, engineering, economics and computer science. For Business Analytics MSc: For this programme you must have a satisfactory existing level of mathematics, quantitative analysis or statistics. We welcome students from a variety of disciplines including mathematics, computer science, engineering, chemistry, physics, biology, medicine, economics, and finance. Students with less quantitatively orientated undergraduate degrees are also welcome if they have focused on the more quantitative elements of those programmes. English language requirements All applicants must show they meet a minimum English language standard. The English language levels vary between programmes, and you can read full details online at: qmul.ac.uk/eng-lang-reqs If you have not achieved the required English language level yet, you may be eligible to take a Pre-sessional English course, or continue to take English language tests in your country to reach the level needed. Visit: sllf.qmul.ac.uk/ language-centre/presessionals
How to apply
You can apply for all our postgraduate programmes online. While there are no set deadlines, we advise you to apply as early as possible to make sure your application is considered and to take advantage of any funding opportunities. Visit: qmul.ac.uk/postgraduate/howtoapply
Accommodation
We offer approximately 500 spaces specifically to our postgraduate students and the majority of these are at our Mile End campus. We can also provide advice on a range of alternative housing, such as renting, private halls or homestay.
Postgraduate open events for 2018 • 17 January 2018, Virtual Open Day • 7 February 2018, Open Evening • 9 May 2018, Virtual Open Day • 18 July 2018, Virtual Open Day • 5 September 2018, Open Afternoon Visit: qmul.ac.uk/postgraduate/meet-us
QMUL Doctoral College
Many of our masters students go on to undertake PhD research. If you would like to find out more about becoming a researcher, visit: doctoralcollege.qmul.ac.uk and qmul. ac.uk/postgraduate/research
Tel: +44 (0)20 7882 6474 Email: residences@qmul.ac.uk residences.qmul.ac.uk
International students
We offer a range of support services to students joining us from around the world, including in-country meetings, pre-departure briefings, an airport collection service, and the International Welcome Programme. We also offer advice about accommodation, scholarships, funding, summer school, study support, visas and English language requirements. Tel: +44 (0)20 7882 6530 Email: internationaloffice@qmul.ac.uk Visit: qmul.ac.uk/international
maths.qmul.ac.uk 31
MOORGATE MOORGATE
USE OUSE
Your guide to London ESSEX ROAD
OLD OLDSTREET STREET
HAGGERSTON
ANGEL
CAMBRIDG
HOXTON
OLD STREET
FINSBURY
ALDGATE ALDGATEEAST EAST
Senate House FARRINGDON
MOORGATE
The Bank of England BARBICAN
CITY THAMESLINK
BARTS AND THE LO
LIVERPOOL STREET
BANK
FENCHURCH STREET
MONUMENT
W
BETHNAL BETHNALGRE GR
SHADWELL SHADWELL
32 maths.qmul.ac.uk
WHITECHAPEL WHITECHAPEL
LONDON BRIDGE
DLR stations
SHA
TOWER HILL
CANNON STREET
Underground stations
WHITECHA
ALDGATE EAST
MANSION HOUSE
NE WING TON
B
Whitechapel campus
BARTS BARTSAND ANDTHE THELONDON LONDON
BLACKFRIARS
SHOREDITCH HIGH ST
SHOREDITCH SHOREDITCHHIGH HIGHSTST
FENCHURCH FENCHURCH STREET STREET
LIVERPOOL LIVERPOOLSTREET STREET
MONUMENT MONUMENT
BANK BANK
IS LI N GTO N
LONDON FI
SOUT HW
HACKNEY WICK
HACKNE Y
STRATFORD INTERNATIONAL
IELDS
STRATFORD
T H E O LY M P I C PA R K STRATFORD HIGH
VIC TO R IA PAR K
PUDDING MILL LANE
ABBE
GE HEATH
WEST
BETHNAL GREEN
Mile End campus BROMLEY BY BOW
BOW ROAD MILE END
QUEEN MARY UNIVERSITY OF LONDON
ONDON
STAR L
DEVONS ROAD
APEL STEPNEY GREEN
LANGDON PARK
STE P NEY
ADWELL
LIMEHOUSE ALL SAINTS WESTFERRY
EAST INDIA
Canary Wharf: POPLAR a financial hub
BLACKWALL
WEST INDIA QUAY
WAPPING
WA RK PARK
CANARY WHARF HERON QUAYS
NORTH GR
SOUTH QUAY
CROSSHARBOUR maths.qmul.ac.uk 33
ISLE OF DOGS
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: designandbranding@qmul.ac.uk
34 maths.qmul.ac.uk
Terms and conditions We have endeavoured to ensure that the information contained in this prospectus is both helpful and accurate at the time of going to press. There are circumstances in which we may still make changes to the programmes and services that we provide. For this reason, it is important that you check our website (qmul.ac.uk) for the most up-to-date information, or contact us, using the details contained within this document, before you apply. We regularly update our programmes so that students can learn from the latest academic research and to make improvements in dialogue with current students and employers. Other circumstances that can lead to changes include:
your chosen programme in exceptional circumstances, such as if a key member of academic staff or essential teaching facilities become unavailable without warning. Programmes may also be suspended where the demand from applicants makes them unviable. If we have to suspend or withdraw your chosen programme after you accept an offer, we will inform you at the earliest opportunity and make every effort to provide a suitable alternative. For up-to-date descriptions of our programmes, visit: qmul.ac.uk/postgraduate/coursefinder Contact Queen Mary University of London, Mile End Road, London E1 4NS qmul.ac.uk
• changes of academic staff, which can lead to new modules being offered and existing modules being withdrawn
We would like to thank the staff and students who took part in these photographs. Student and departmental photography by Jorge Estevao (jdestevao.com) and Jonathan Cole (JonathanColePhotography.com) and Layton Thompson (LaytonThompson.com)
• new requirements from professional or statutory bodies or
Produced by Marketing and Communications, Queen Mary University of London.
• changes to the way in which universities and services are funded. If you apply to us and we offer you a place to study at QMUL, we will endeavour to deliver your chosen programme as is advertised when we make our offer of admission. For this reason, it is important that you check our website for the most up-to-date information, or contact us using the details contained within this document, before you accept an offer. We will only suspend or withdraw
This publication has been printed using vegetable oil-based inks on environmentally friendly material from sustainably managed sources (from the Edixion paper range). The eco-friendly low carbon printing company is ISO 14001 accredited, and operates a ‘cradle to grave environmental management system’, ensuring environmental impact is minimised throughout every aspect of print production. Key focus is placed upon energy saving, reductions of chemicals and emissions, water conservation, and waste minimisation.
maths.qmul.ac.uk 35
For further information contact:
School of Mathematical Sciences Queen Mary University of London Mile End Road London E1 4NS Tel: +44 (0)20 7882 5440 Email: maths@qmul.ac.uk maths.qmul.ac.uk @QMULMaths
Contact us
For general admissions enquiries about the admissions process for taught masters programmes: Tel: +44 (0)20 7882 5533 Email: pgtadmissions@qmul.ac.uk For general admissions enquiries about the admissions process for research degree programmes: Tel: +44 (0)20 7882 2207/5860 Email: researchadmissions@qmul.ac.uk