Queen Mary, University of London Maths Undergraduate by Queen Mary University of London

Queen Mary, University of London School of Mathematical Sciences Undergraduate Studies

www.maths.qmul.ac.uk

The east London advantage Barts and The London serves a huge population of unrivalled diversity in the east of London, but is also next door to the City of London, one of the UK’s richest neighbourhoods. This means that our medical and dental students encounter a huge range of medical conditions while building the patient contact hours they need to become confident and competent professionals.

Campus-based “East London and the wider Thames Gateway offer our medical students the opportunity to observe a wide range of diseases – from diabetes, hypertension, heart disease, cancer, obesity, TB and even malnutrition. This is a unique learning environment for their medical training.” Cathy Baker, Head of Graduate Entry Programme in Medicine

2012 Olympics on our doorstep The 2012 Olympics are taking place very close to Queen Mary’s Mile Endbycampus, and ourQueen Mary, University of London Produced Creative Services, Whitechapel and West Smithfield http://qm-web.corporateaffairs.qmul.ac.uk/creativeservices/ - Pub9426 campuses are also not far away. The information given in this prospectus is correct at the time of going to press. Barts Hospital, the new Royal The College reserves the right to modify or cancel any statement in it and accepts London Hospital and our no responsibility for the consequences of any such changes. For the most up-toassociated Trusts willrefer provide date information, please to the website www.qmul.ac.uk healthcare for the Olympic Any section of this publication is available in large print upon request. If you require athletes and in thea different generalaccessible public format we will endeavour to provide this this publication during the summer games. Thisand assistance, please contact: hrwhere possible. For further information equality@qmul.ac.uk; 7882 will be an exciting +44 time(0)20 to be in 5585. London. This prospectus has been printed on environmentally friendly material from wellmanaged sources.

Barts and The London is part of Queen Mary, the only College of the University of London to offer extensive campus-based facilities. This promotes a sense of community and encourages an active student life. All our first year medical and dental students who live a certain distance from the School are allocated places in residences at the Whitechapel, Charterhouse Square and Mile End campuses. East London also offers affordable privately-owned accommodation at a walking distance from our campuses. See page XX for more details about accommodation.

State-of-the-art clinical facilities We have modern state-of-the art buildings alongside more traditional teaching facilities such as our fantastic library. The Dental School now contains a clinical skills laboratory which closely simulates the real clinical

Contents

Degree programmes

2 6 10

Modules descriptions

Introduction

Employability

Student life, Studentsâ&#x20AC;&#x2122; Union, student support and health services

Accommodation School of Mathematical Sciences Entry requirements

26 28

30 Living in London 32 Frequently asked questions 36 Next steps 40

Introduction

School of Mathematical Sciences

School of Mathematical Sciences at Queen Mary, University of London

Welcome As one of the largest mathematics departments in the UK we offer you the opportunity to study topics from across the entire field of mathematics. From statistics and probability to pure and applied mathematics, our academics are internationally recognised for their work. As an undergraduate student you will benefit from this work. In the most recent assessment of the quality of research, Queen Mary was ranked 11th in the UK by the Guardian. With excellent investment in staff and facilities, the School of Mathematical Sciences offers an education in an environment focused on student support. We want to equip our students with the skills and abilities they need to be successful in their career. Alongside the Careers team we provide our undergraduates with advice directly from employers on how to be successful in applying for a job on graduation. The employers we work with are diverse: from City banks and accountancy firms to telecoms companies and the Met Office. We have a diverse undergraduate population with at least 15 per cent of our students coming from other countries to study in the UK. Our students are active members of the College and take part in many clubs and societies. They also support the work of the School of Mathematical Sciences to encourage more students to study mathematics at A-level and

degree-level by becoming Maths Ambassadors. If you have not yet had an opportunity to visit us on the Mile End campus, we encourage you to do so. You can visit as part of a College-wide open day or on a more specific maths-related event. Full details on opportunities to visit, see: www.maths.qmul.ac.uk Professor Boris Khoruzhenko Head of the School of Mathematical Sciences

Queen Mary to join the Russell Group In recognition of Queen Mary’s long-standing commitment to excellence in research and teaching, we will be joining the Russell Group of leading UK universities in August 2012. The Group, which includes other top universities such as Oxford, Cambridge and UCL, attracts the brightest students from all over the world as well as almost two thirds of available research funding in the UK. The exceptional standards of research and teaching found at Russell Group universities means that their graduates are especially valued by employers, giving you a head start when you apply for jobs.

What is mathematics? Mathematics is a dynamic and exciting subject which is constantly developing. It isn’t just about carrying out calculations or remembering a collection of facts

and recipes; in reality, it is a very creative subject and develops a particular way of thinking and approaching problems. It is intellectually challenging and very satisfying to progress through the different areas of mathematics and gain an understanding. By choosing to study mathematics at university you will find a subject which gives you invaluable transferable skills and knowledge which can be applied to many different situations in the real world. These skills are in demand by many employers and you will find that there is no such thing as a typical job for mathematical sciences graduates.

Why study mathematics? You may like studying for a mathematics degree if you are performing well in your current maths studies and are also enjoying it. If you get satisfaction from problem solving and can reason logically and articulately but perhaps are keen for a challenge beyond your current study of the subject then mathematics could be a suitable choice for you. With regards to the knowledge, skills and abilities you will graduate with, a mathematics degree gives you: • Excellent analytical abilities • The ability to work independently and manage your own time

School of Mathematical Sciences

School of Mathematical Sciences at Queen Mary, University of London

• Highly developed numerical skills • Effective communication skills (throughout your degree you will be expected to write coherently and communicate your results to others) • The ability to apply mathematical modelling to the real world by being able to take a real problem and simplify it • Practical computational skills (mathematics students normally study some computing and use various IT packages for data analysis, for example).

Why study mathematical sciences at Queen Mary? You can choose from a range of degree programmes, from pure mathematics to combinations with business, economics and finance. All of our programmes have defined core modules which you are required to complete. However, you have the option in your second and third year to choose the subjects in mathematics that interest you the most. As an undergraduate we offer a comprehensive support system. An academic member of staff is appointed as your academic adviser who will help you to select your modules and is also there to assist with any personal problems you may have whilst at university. In addition we have a Student

Support Officer within the School who works with undergraduates and academic staff to ensure that problems are addressed to the appropriate areas, whether that is through the Advice and Counselling service or the Careers service. There is always someone for you to approach for help if required. On the academic side, we participate in the College’s Peer Assisted Study Support (PASS) scheme. Through this, our second and third year students work with first year students to ease the transition and help them with any questions they have about the course content. We have also found that this is a good opportunity for first year students to get advice from the other year groups on module selection, as they have been through the process already.

Teaching and assessment Our modules are taught through the use of lectures and exercise classes. A lecture lasts for around 50 minutes and the lecturer delivers material using a whiteboard, blackboard or computer package. Students are either asked to take their own notes or they are provided notes by the lecturer. In exercise classes, the lecturer and postgraduate students are there to help you understand the material that was delivered in the lectures. Your progress is measured throughout your degree as you are

regularly set questions, which are marked and returned with feedback. This feedback is provided so that if there were any errors, you understand where you went wrong and will know how to approach a similar problem in future. The academic year is split into two semesters, with four modules being taken in each semester. On average, for each module you will have three hours of lectures per week plus one hour in an exercise class. This means that you will have at least 16 hours of contact time. However, you are expected to carry out at least the same number of hours in independent study. Between lectures and exercise classes, our undergraduate students can be found working with their friends in the Library or the Maths foyer. At the end of the second semester you will sit exams for all of the eight modules you have taken in that academic year. There may be one or two exceptions for modules which involve project work. In this case you would submit an extended piece of work for assessment. These exams take place across a six week period and are concluded in early June.

Employability

School of Mathematical Sciences

Employability

For more on what our students think, visit our YouTube channel: www.youtube.com/MathsQMUL When you graduate with your degree you will have: • Excellent analytical abilities • The ability to work independently • Highly developed numerical skills

• Materials • Pharmaceuticals • Retail • Teaching • Transport

• Effective communication skills • The ability to apply mathematical modelling to the real world • Practical computational skills. These skills are in great demand by employers and you will have the potential for high earnings in the course of your career. The average starting salary for a mathematics graduate is around £22,000 and is higher than the average starting salary for all subjects. Unlike graduates in more vocational disciplines, mathematicians are not limited to one obvious area of employment. For example, mathematics graduates can be found in: • Academic research • Aerospace • Biotechnology • Business and Finance • Chemicals • Computing • Construction • Defence • Electronics • Energy • Environment • Health care • Management • Marketing

The Queen Mary Careers Service is available to help you with any career-related issue throughout your time at university. If you are not sure what you want to do, a discussion with a careers adviser will help you to be clearer about your options for work or further study, and our resources will help you to begin investigating the careers open to graduates. The Careers Service advertises graduate jobs as well as part-time and vacation work: www.careers.qmul.ac.uk

Careers support for undergraduates In the School of Mathematical Sciences we provide a programme of careers events for our undergraduates that run throughout the academic year so that you are well informed about what is available to you. We have had sessions from the Royal Meteorological Society on opportunities for mathematicians in meteorology and from Statisticians in Pharmaceuticals who highlighted the variety of areas in that industry where mathematicians and statisticians are vital. We work with a dedicated member of staff from the Careers Service on these activities.

Student profile Scott Davis, Mathematics with Statistics “One of the things I like about my programme is the variety of areas we cover: It’s not just pure maths, it’s also applied maths which keeps things interesting. On a scale of one to ten, the teaching would score an 11, the lecturers are fantastic. They are passionate and enthusiastic about their fields. My favourite module was Linear Algebra I as the lecturer was passionate and funny. He made the subject genuinely enjoyable. His enthusiasm made me look forward to his lectures. The academic and study facilities would score a nine. A lot of the buildings are being renovated at the moment which means that things will get even better.”

School of Mathematical Sciences

Employability

Previous events have also included speed meets with employers and panel sessions with employers giving advice on how to make a successful application in their industry. Alumni regularly return to take part in such events. The Careers service runs workshops including, how to find work experience and be successful in interviews. These regular events are backed up with information on our website and in our careers brochure: Careers Guidance for Mathematical Sciences Undergraduates and in the Where the maths you learn is used booklet which puts your learning in the context of different areas of work, from business and finance to the space industry. You can download this as a PDF from www.maths.qmul.ac.uk/forschools-colleges/maths-resources Some examples of the jobs our recent graduates have gone on to include:

A number of our graduates choose some form of further study. Many choose to combine work and study when training to be an Accountant, whilst others choose to complete a PGCE so that they can go on into teaching. Another option that our graduates take is to complete a Masters degree or PhD in topics such as Applied Mathematics, IT or Financial Mathematics for example.

You can find out more information on career opportunities as well as further study from our careers guide. Download this at: www.maths.qmul. ac.uk/ps/up/ careers

Graduate profile Nimesh Sanghrajka

Studied: BSc Mathematics, Statistics and Finance, graduated 2007 Currently: I am working as a Commercial Manager in the UK Corporate Banking division at the Royal Bank of Scotland/NatWest Group. I joined the Bank on a talent programme in September 2007, three months after my graduation. In my current role I look after the banking of commercial customers based in Central London whose turnover is in the region of £1m-£25m. The scheme only took 80 people nationwide, and I was one of 12 candidates to be successful for the Central London region.

• Actuary • Accountant • Catastrophe Modelling Analyst • Corporate Banker • Data Analyst • Teacher • Pharmaceutical Statistician • Research Analyst • Statistician • Share Dealer • Trader

Why did you choose Queen Mary? I chose Queen Mary due to its standing as a top university. For Mathematics and Economics it is one of the best places to learn and develop analytical skills. What did you gain from your time at Queen Mary? Queen Mary tested my ability to think and provided me with a platform from which to build a solid career in the financial capital of the world. The University of London name had a lot of weight when it came to the interview stage, and I firmly believe that I was successful in my application due to the skills I honed whilst at Queen Mary. The Careers Service was also exceptionally helpful when it came to submitting applications for jobs, and the mock interviews and advice I received were invaluable. What are your career plans in the next five years? I hope to become a senior Relationship Manager looking after a portfolio of clients whose businesses turnover in the region of £25m+, continue to build my network of professional contacts and take on line management duties.

Degree programmes

School of Mathematical Sciences

Degree programmes

Mathematics

Probability Models • Statistical Methods • Statistical Modelling I

G100 BSc/Math (three years)

Programme description You will study a wide range of topics covering pure, discrete, decision and applied mathematics, probability and statistics. The exceptionally broad range of second and final-year options reflects our research strengths. The first year covers essential fundamentals, therefore you are required to take all of the core modules. In second and third year your choices increase and you have a free choice of final-year modules. Whether you are interested in specialising in statistics, finance, pure or applied mathematics or mathematical physics, our wide range of modules will provide the opportunity.

Year 3 Options include: Actuarial Mathematics • Chaos and Fractals • Coding Theory • Combinatorics • Communicating and Teaching Mathematics • Complex Networks • Cryptography • Introduction to Mathematical Finance • Further Topics in Mathematical Finance • Mathematical Problem Solving • Number Theory • Linear Algebra II • Random Processes • Relativity • Third Year Project

building on A-level core and decision mathematics. For over 50 years Queen Mary has been renowned for research in algebra, combinatorics and logic, and we are one of the few higher education institutions to offer a programme in pure mathematics. You may benefit from our European research links, which provide the possibility of studying for a year in another European city. See www.qmul.ac.uk/international for information on opportunities to study abroad.

Programme outline

Pure Mathematics G110 BSc/PMat (three years)

Programme description In this degree programme you will experience the pursuit of mathematics for its own sake and the focus is not necessarily on applications. You will concentrate on algebra, geometry and analysis,

School of Mathematical Sciences

Degree programmes

Year 2 Algebraic Structures I • Complex Variables • Convergence and Continuity • Differential and Integral Analysis • Linear Algebra I • Options include: Differential Equations • Geometry II: Knots and Modelling • Probability Models Year 3 Options include: Algebraic Structures II • Chaos and Fractals • Coding Theory • Combinatorics • Communicating and Teaching Mathematics • Complex Analysis • Cryptography • Linear Algebra II • Mathematical Problem Solving • Metric Spaces • Third Year Project

Mathematics and Statistics GG31 BSc/MatSta (three years)

Programme description This degree programme offers you the opportunity to specialise in statistics. It builds statistical theory and methodology on mathematical foundations, especially probability theory. Probabilistic modelling has applications in genetics, quantum physics and risk analysis, and is increasingly used in the financial sector. You can study applications of probability and statistics, notably design of experiments, financial time series and actuarial mathematics. This programme is accredited by the Royal Statistical Society and final year students receive free membership of the RSS. In addition, this entitles graduates who achieve a first- or second-class degree, and who

have completed enough statistics modules, to Graduate Statistician status.

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Introduction to Mathematical Computing • Introduction to Algebra • Introduction to Probability • Introduction to Statistics • Mathematical Structures Year 2 Linear Algebra I • Statistical Methods • Statistical Modelling I • Options include: Calculus III • Complex Variables • Convergence and Continuity • Differential and Integral Analysis • Differential Equations • Dynamics of Physical Systems • Geometry II: Knots and Modelling • Introduction to Numerical Computing • Mathematical Writing • Probability Models Year 3 Statistical Modelling II • Statistical Theory • Options Include: Actuarial Mathematics • Bayesian Statistics • Computational Statistics • Design of Experiments • Oscillations, Waves and Patterns • Time Series • Topics in Probability and Stochastic Processes • Third Year Project

Mathematics with Business Management G1N1 BSc/MatBM (three years)

Programme description This degree programme contains

a basic core of mainstream mathematics, statistics and business management modules. You will combine six mathematics or statistics modules with two business management modules each year. In the second and final years, you have considerable flexibility in your choice of mathematics modules. Statistics is used widely in business and management for informative decision-making, and you can specialise in advanced statistics and probability, computing and business management.

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Economics for Business • Fundamentals of Management • Geometry I • Introduction to Probability • Introduction to Statistics • Mathematical Structures Year 2 Financial Accounting • Introduction to Algebra • Linear Algebra I • Marketing • Options include: Calculus III • Complex Variables • Differential Equations • Dynamics of Physical Systems • Probability Models • Statistical Modelling I Year 3 Management of Human Resources • Strategy • Statistical Theory or Oscillations, Waves and Patterns • Options include: Actuarial Mathematics • Advanced Statistics Project • Entrepreneurship and Innovation • Introduction to Mathematical Finance • Further Topics in Mathematical Finance • Third Year Project

School of Mathematical Sciences

Mathematics, Business Management and Finance GN13 BSc/MBMF (three years)

Programme description This degree programme brings together basic training in mathematics and statistics with a selection of modules in business, management, finance, accounting and economics. You will combine six mathematics and statistics modules with two business management and finance modules in your first year. In subsequent years the mix is five mathematics and statistics modules and three business management and finance modules. Mathematics is extremely important in the business and finance sector and by completing this degree programme you will have mathematical knowledge and skills backed up with awareness of how the sector operates.

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Economics for Business • Fundamentals of Management • Geometry I • Mathematical Structures • Introduction to Probability • Introduction to Statistics Year 2 Financial Accounting • Linear Algebra I • Marketing • Managerial Accounting • Statistical Modelling I •

Statistical Methods • Options include: • Differential Equations • Introduction to Algebra • Probability Models

your studies you will discover and be able to exploit the many links between them.

Programme outline Year 3 Actuarial Mathematics • Financial Management • Introduction to Mathematical Finance • Management of Human Resources • Strategy • Options Include: Communicating and Teaching Mathematics • Entrepreneurship and Innovation • Further Topics in Mathematical Finance • Random Processes • Statistical Modelling II • Statistical Theory • Time Series • Third Year Project

Mathematics, Statistics and Financial Economics GL11 BSc/MatSFE (three years)

Programme description This is a joint programme with the School of Economics and Finance. The behavior of the London Stock Exchange, and even the economy of the United Kingdom can be analysed using mathematics. The first year consists of five modules of mathematics and statistics and three modules of economics; the second year includes at least four modules of mathematics and statistics and three modules of economics; and the final year includes at least two modules of mathematics and statistics and three modules of economics. Mathematics and Economics are complementary subjects and during the course of

Year 1 Essential Mathematical Skills • Calculus I and II • Economics Principles • Geometry I • Introduction to Probability • Introduction to Statistics • Mathematical Structures • Microeconomics I Year 2 Capital Markets I • Games and Strategies • Linear Algebra I • Macroeconomics I • Microeconomics II • Probability Models • Statistical Modelling I • Statistical Methods • Options include: Differential Equations • Introduction to Algebra Year 3 Corporate Finance I • Financial Markets and Institutions • Statistical Theory • Options Include: Corporate Finance II • Design of Experiments • Futures and Options • Random Processes • Statistical Modelling II • Time Series • Third Year Project

Mathematics with Finance and Accounting G1N4 BSc/MWFA (three years)

Programme description You will incorporate mathematical and statistical training with finance and accounting, including general financial theory and its applications to business and commerce. The first year consists of six modules of mathematics and statistics and two modules of

School of Mathematical Sciences

Degree programmes

finance and accounting, and there are three finance and accounting modules in the second year. Overall, about two thirds of your modules will be in mathematics and statistics, and the other third in finance and accounting.

Mathematics Mathematics with Statistics

Programme outline

Programme description

Year 1 Essential Mathematical Skills • Calculus I and II • Economics for Business • Financial Accounting • Geometry I • Introduction to Probability • Introduction to Statistics • Mathematical Structures

The MSci programmes include a final year consisting of a project and advanced modules from the School of Mathematical Sciences’ MSc programmes. G102 is an extension of G100 (BSc Mathematics) and G110 (BSc Pure Mathematics). G1G3 is an extension of GG31 (BSc Mathematics and Statistics) and is similarly accredited by the Royal Statistical Society. It may be preferable for you to choose the

G102 MSci/Mat (four years) G1G3 MSci/MatSt (four years)

MSci qualification if you are interested in using your mathematical skills at a high level in your career, or perhaps if you are looking to progress into a research career on graduation.

Programme outline

Year 2 Financial Institutions • Linear Algebra I • Managerial Accounting • Statistical Modelling I • Statistical Methods • Options include: Calculus III • Complex Variables • Differential Equations • Introduction to Algebra • Probability Models Year 3 Actuarial Mathematics • Financial Management • Introduction to Mathematical Finance • Statistical Theory • Options include: Design of Experiments • Further Topics in Mathematical Finance • Random Processes • Statistical Modelling II • Time Series • Third Year Project

Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Introduction to Mathematical Computing • Introduction to Algebra • Introduction to Probability • Introduction to Statistics • Mathematical Structures Year 2 Convergence & Continuity • Linear Algebra • Choose two of: Calculus III • Dynamics of Physical Systems • Mathematical Writing • Probability Models • Statistical Methods • Choose four

School of Mathematical Sciences

of: Algebraic Structures I • Complex Variables • Differential & Integral Analysis • Geometry II: Knots and Surfaces • Introduction to Numerical Computing • Statistical Modelling I • Differential Equations

• Cryptography • Metric Spaces • Mathematical Problem Solving • Relativity • Number Theory • Linear Algebra II • Oscillations • Waves & Patterns • Statistical Theory • Random Processes • Complex Networks

Year 3 Choose six modules from: Algebraic Structures II • Coding Theory • Chaos & Fractals • Complex Analysis • Combinatorics

Choose another two modules. Year 4 MSci Project Options include: Advanced Combinatorics

• Advanced Cosmology • Applied Statistics • Bayesian Statistics • Complex Systems • Computational Statistics • Dynamical Systems • Extremal Combinatorics • Further Topics in Algebra • Group Theory • Mathematical Statistics • Measure Theory and Probability • Topics in Probability and Stochastic • Processes • Topology

Module descriptions

School of Mathematical Sciences

Module descriptions

This section contains a selection of our modules and includes core modules for the different degree programmes. However, note that there are more option modules available and for specified programmes, some Year 1 modules can be taken in Year 2. Full details can be found on www.maths.qmul.ac.uk

Year 1 Calculus I & II Calculus I develops the concepts and techniques of differentiating and integrating with supporting work on algebra, coordinate transformations and curve sketching. Calculus II in the second semester then introduces infinite series including power series, and develops techniques of differential and integral calculus in the multivariate setting.

Geometry I Properties of two- and three dimensional space turn up almost everywhere in mathematics. For example, vectors represent points in space, equations describe shapes in space and transformations move shapes around in spaces; a fruitful idea is to classify transformations by the points and shapes that they leave fixed. Most mathematicians like to be able to ‘see’ in special terms why something is true, rather than simply relying on formulas. This model ties together the most useful notions from geometry – which give the meaning of the formulas – with the algebra that gives the methods of calculation.

It is an introductory module assuming nothing beyond the common core of A-level mathematics or equivalent.

Introduction to Mathematical Computing In this module you will learn how to use Maple to do mathematics covered at A-level and in the first semester. You will be introduced to programming concepts and will use Maple’s worksheet interface and other packages as appropriate.

Introduction to Algebra This module builds on the basic notions of algebra introduced in Mathematical Structures, such as sets, numbers, matrices, polynomials and permutations. It not only introduces the topics, but shows how they form examples of abstract mathematical structures such as groups, rings and fields, and how algebra can be developed on an axiomatic foundation. Thus, the notions of definition, theorem and proof, example and counterexample are described. The module is an introduction to later modules in algebra.

probability and independence. The second introduces random variables both discrete and continuous, including distributions, expectation and variance. Joint distributions are covered briefly.

Introduction to Statistics This first module in statistics introduces the fundamental ideas of classical statistics. It covers descriptive statistics, the estimation of population moments using data and the basic ideas of statistical inference, hypothesis testing and interval estimation.

Mathematical Structures This module is intended to introduce students to the concerns of mathematics, namely clear and accurate exposition and convincing proofs. It will attempt to instill the habit of being "precise but not pedantic". The course covers an informal account of sets, functions, and relations, and a sketch of the number systems (natural numbers, integers, rational, real and complex numbers), outlining their construction and main properties.

Introduction to Probability This is the first course in probability, covering events and random variables. It introduces the basic notions of probability theory and develops them to the stage where one can begin to use probabilistic ideas in statistical inference and modelling, and the study of stochastic processes. The first section deals with events, the axioms of probability, conditional

Economics for Business (G1N1, G1N4, GN13) This module explains how firms, consumers and government interact in markets and how business decision-making is shaped by internal factors such as costs and by external market conditions. The module examines the main concepts of economic theory and explores the

School of Mathematical Sciences

Module descriptions

importance of these within a business context, with emphasis on the applicability of economic theory to an understanding of the internal dynamics of business organisations.

Fundamentals of Management (G1N1, GN13) This module aims to provide an introduction to business management and administration. It offers an understanding of the external and internal business environment, the different contexts of business, an analysis of markets and issues within business management. The approach is informative but also seeks to provoke discussion and reflection and the desire to explore this area in depth. This module serves as a general

introduction to the structure and functioning of business organisations. The internal and external environments of business are examined with particular emphasis on political, economic, sociological, technical, legal and ethical issues.

Economics Principles (GL11) This module will be an introduction to economic reasoning and analysis. No prior knowledge of economics is necessary. The module will cover standard topics such as: demand, supply and price in consumer and labour markets; returns to education, the New Deal; competitive equilibrium: optimality; trade; market power; price discrimination, oligopoly, government policy; externalities and the environment; public

goods, taxes and free-riding; globalisation; and growth.

Microeconomics I (GL11) This module will cover: introduction to microeconomic modelling; elementary theory of markets; consumer theory: preferences, budgets and demand; expected utility theory and inter-temporal choice.

Financial Accounting (G1N1, G1N4, GN13) This course introduces you to and explores the purpose, nature and operation of the Financial Accounting function within businesses, particularly limited liability companies in the UK. It reveals, illustrates and explores how the financial accounting systems operate when tasked with measuring and recording the

School of Mathematical Sciences

financial value of the transactions, events and activities of a business. In so doing, it examines the nature and scope of financial accounting and the underlying conceptual framework of accounting conventions and standards. It further looks at the ratio analysis and associated interpretation of published financial statements from the perspectives of a range of differing users of financial accounting information.

the material and the key concepts will be illustrated by examples from various branches of mathematics.

Differential Equations

Complex Variables

Statistical Methods

Year 2

This module covers the integral and differential properties of functions of a complex variable. In addition, students will also cover complex differentiation, Cauchy-Riemann equations, harmonic functions, sequences and series, Taylor and Laurent series, singularities and residues, among others.

Algebraic Structures

Convergence and Continuity

The modern axiomatic approach to mathematics is demonstrated in the study of the fundamental theory of abstract algebraic structures: group theory, subgroups, generators, and Lagrangeâ&#x20AC;&#x2122;s theorem. We also look at normal sub-groups, homomorphisms, and isomorphism theorems, as well as ring theory, integral domains, ideals, homomorphisms and isomorphism theorems, polynomial rings, Euclidean algorithm and fields of fractions.

This module introduces some of the mathematical theory behind Calculus. It answers questions such as: What properties of the real numbers we rely on in Calculus? What does it mean to say that a series converges to a limit? Are there kinds of function that are guaranteed to have a maximum value? The module is a first introduction, with many examples, to the beautiful and important branch of pure mathematics known as Analysis.

This module develops some of the ideas first introduced in Introduction to Statistics. It begins by covering some of the essential theoretical notions required, such as covariance, correlation and independence of random variables. The majority of the material covers different types of statistical tests: how to use them and when to use them. This material is essential for applications of statistics in psychology, the life or physical sciences, business or economics. It is also required for further study of statistics.

Differential and Integral Analysis Linear Algebra I This is a rigorous first module in linear algebra. The ideas introduced in Geometry I for twoand three-dimensional space will be developed and extended in a more general setting with a view to applications in subsequent pure and applied mathematics, probability and statistics modules. There will be a strong geometric emphasis in the presentation of

This module provides a rigorous basis for differential and integral calculus, ie the theory behind differentiation and integration rather than their applications. The module will include some full proofs.

This is an applied calculus module, which follows on from Calculus II and Linear Algebra I.

Statistical Modelling I This is a first module on linear models and it concentrates on modelling the relationship between a continuous response variable and one or more continuous explanatory variables. Linear models are very widely used in almost every field of business, economics, science and industry where quantitative data are collected. They are also the basis for several more advanced statistical techniques covered later. This module is concerned with both the theory and applications of linear models and covers problems of estimation, inference and interpretation. Graphical methods for model checking will be discussed and various model selection techniques

School of Mathematical Sciences

Module descriptions

introduced. Computer practical sessions, in which the Minitab statistical package is used to perform the necessary computations and on which the continuous assessment is based, form an integral part of the module.

Financial Accounting (G1N1, G1N4, GN13) This module introduces you to and explores the purpose, nature and operation of the financial accounting function within businesses, particularly limited liability companies in the UK. It reveals, illustrates and explores how the financial accounting systems operate when tasked with measuring and recording the financial value of the transactions, events and activities of a business. In so doing, it examines the nature and scope of financial accounting and the underlying conceptual framework of accounting conventions and standards. It further looks at the ratio analysis and associated interpretation of published financial statements from the perspectives of a range of differing users of financial accounting information. Accordingly, the module seeks to equip you with the knowledge, understanding and skills to enable you to identify and record the financial value of business transactions, events and activities, and to generate financial information through the construction of balance sheets, income statements (profit statements) and cash flow statements, and through the use of financial ratios.

Marketing (G1N1, GN13) An introduction to marketing, analysing the components which influence marketing decisions at the level of the firm and the process by which these components are used to develop strategies.

Capital Markets I (GL11) This module is an introductory module in financial economics and it aims to develop an understanding of the foundations of modern portfolio theory. Topics to be covered include: risk and return, risk preferences and asset allocation, portfolio optimisation and its equilibrium implications, index models, CAPM, multifactor models, the efficient market hypothesis, behavioural finance, empirical evidence on security pricing, bond prices and yields, term structure of interest rates, and bond portfolios.

Games and Strategies (GL11) This module provides an introduction to game theory, a framework for studying situations of strategic interdependence. You will be shown how to describe such situations formally, how to analyse them using concepts of dominance and equilibrium, and how the theory can be applied to questions arising in various social sciences.

Macroeconomics I (GL11) The module is an introduction to macroeconomics. It addresses how goods, labour and financial markets interact to determine aggregate output, employment,

interest rates and the price level. The topics covered include: definitions and measurement of aggregate variables, equilibrium on each market in isolation (partial equilibrium) and on all markets (general equilibrium) both in the short and in the medium run, the impact of fiscal and monetary policy on aggregate variables.

Microeconomics II (GL11) Topics covered include producer theory (technology, cost functions, profit maximisation, firm supply, monopoly); general equilibrium and exchange; welfare economics (theorems, externalities and public goods, surplus); and an introduction to asymmetric information.

Probability Models This module develops some of the ideas first introduced in Introduction to Probability. It will cover five main topics: how to compute probabilities and expectations by a process called conditioning; random walks and other discrete branching processes; continuous methods of conditioning; continuous probability models such as Poisson processes; and some very useful limit theorems. The material is important for applications in financial and actuarial mathematics, in the physical and life sciences, and for more advanced probability modules.

School of Mathematical Sciences

Financial Institutions This module examines the function, characteristics and operation of various financial institutions, including deposittaking and non-deposit-taking institutions. You will examine the nature and characteristics of their products and services in different markets, for example in bond, equity, foreign exchange derivative or equity markets. In addition you will also explore why financial crises emerge in the operation of these markets.

Managerial Accounting (GN13, G1N4) This is an intensive one semester module in managerial accounting. It examines how costs are identified and measured and explores differing views of the nature and definition of cost. Such considerations are important when managers are seeking to make decisions relating to cost determination, cost management, pricing, budgets and budgetary control, standard costing, and investment appraisal. These areas, together with aspects such as marginal and incremental costing and cost of capital and

risk, are reflected within the considerations. The resultant financial information is placed in the context of the complexities of the business and economic environments of the world as managers seek to make to make appropriate decisions.

Mathematical Writing This module teaches the language of higher mathematics, and how to use it with precision and fluency in a variety of contexts. For raw material, it calls on the mathematics developed in the first year, which you will see from a more mature perspective. The

School of Mathematical Sciences

Module descriptions

module also develops some elements of logic that serve as the basis for an analysis of the main techniques used in mathematical proofs. You will get a lot of practice and feedback through the coursework.

Introduction to Numerical Computing This module investigates the use of computer algebra, numerical techniques and computer graphics as tools for developing the understanding and the solution of a number of problems in the mathematical sciences. Topics that will be addressed will include linear algebra, the solution of algebraic equations, the generation and use of quadrature rules and the numerical solution of differential equations and, time permitting, some other aspects of computational mathematics. The computer language used is Maple.

illustrated with applications from a wide variety of different systems.

Management of Human Resources (G1N1, GN13) The module will introduce you to the key processes concerned with the management of people within organisations. It will reveal the choices that managers are faced with when designing systems to regulate and control the use of human resources. It will assess the problems and difficulties with managing people and explore the variation in practice across different organisations.

Strategy This module employs five strategic categories to introduce students to the historical and theoretical foundations of contemporary strategy. Those five categories are the future, regulation, growth, leadership, and choice.

Statistical Theory Year 3 Oscillations, Waves and Patterns Waves and vibrations are present in almost all physical systems, from the vibrations in strings to the waves of the oceans and atmosphere. Waves and patterns are also seen in chemical and living systems. This module is an introduction to the mathematical theory of waves, dealing with the solution of differential equations describing, for example, vibrations on strings and waves in fluids. Elementary ideas about non-linear waves, such as shock formation, are described. The material is

The theory developed will be used to justify the methods introduced in Introduction to Statistics and will be used to analyse data from a variety of applications. The module will cover estimation, methods of estimation, confidence intervals, and testing.

Actuarial Mathematics This module gives an introduction to the mathematics of life assurance. You will learn to value cash flows and use life tables for making predictions and analysing mortality patterns. This leads on to the valuation of life annuities and of the benefits paid in life

assurance policies. Various life assurance products will be explained and then used for illustration of the basic principles of life assurance.

Financial Management (G1N4) Relationship between the financial manager and the capital markets; investment appraisal, single and multi-period capital rationing, and risk analysis; capital asset pricing model; types of sources of finance and their characteristics; efficient markets hypothesis; dividend growth model and business valuation; weighted average cost of capital; issues in capital structure and financial gearing.

Introduction to Mathematical Finance This module provides an introduction to the ideas of mathematical finance. It uses concepts from analysis, differential equations and probability to develop the techniques and language of mathematical finance.

Further Topics in Mathematical Finance This module develops the ideas discussed in Introduction to Mathematical Finance. As in the former module, concepts from analysis, differential equations, probability and, to some extent, statistics are used to develop further the techniques and language of mathematical finance. The difference is that in this module these techniques are used at a more advanced level.

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Corporate Finance I (GL11) This module aims to develop an understanding of how firms make their investment decisions and how they design their capital structure. In the first part of the module we review the main principles of capital budgeting, the process whereby firms evaluate investment projects. In the second part we study how firms raise external funds. We first assume that the firm's cash flows are exogenous with respect to financial decisions; in this framework we study the Modigliani Miller theorems stating which conditions make capital structure irrelevant, and derive the optimal debt/equity mix in the presence of taxes and costly bankruptcy. We then address the issue of how a firm's capital structure affects its value once information problems between firm insiders and financiers are taken into account. Finally we analyse how control right allocation and corporate government affect a firm's value and its access to external finance.

Financial Markets and Institutions (GL11) This module covers the basic economic principles underlying the working of national and international financial institutions. It introduces the basic theory and operation of financial systems from an economist's viewpoint. The stress is on financial instruments, markets in which they are traded, and attendant structures. You are expected to learn to apply an economics

perspective to the study of financial assets and institutions, and to form a coherent view of the disparate variables in financial activity, markets, and their governance as well as to understand these in the context of the current financial crisis.

Chaos and Fractals The main aims are twofold: to illustrate how simple deterministic dynamical systems are capable of extremely complicated or chaotic behaviour; to make contact with

real systems by considering a number of physically motivated examples and defining some of the tools employed to study chaotic systems in practice.

Combinatorics Combinatorics involves reasoning about 'discrete' structures, particularly finite sets of objects where there are links or relationships among the objects. The module is largely concerned with concepts and theory, but this is a subject that has many practical applications.

School of Mathematical Sciences

Computational Statistics This module introduces modern methods of statistical inference for small samples, which use computational methods of analysis, rather than asymptotic theory. Some of these methods such as permutation tests and bootstrapping, are now used regularly in modern business, finance and science.

Communicating and Teaching Mathematics This module allows you to gain valuable transferable skills while exploring the teaching profession first hand by working with a teacher in a local school. The key skills gained include communication and presentation of mathematics, team-working, active listening, time management and prioritisation. The module will be supported by regular classes and assessed by a combination of written reports and an oral presentation.

Cryptography Cryptography is fundamental to commercial life; in particular, the principles of public-key cryptography were a major intellectual achievement of the last century. The module will give you a detailed understanding of the subject.

Time Series A time series is a collection of observations made sequentially, usually in time. This kind of data arises in a large number of disciplines ranging from economics and business to

astrophysics and biology. This module introduces the theory, methods and applications of analysing time series data.

can build a picture of the diverse applications of the field of statistics.

Bayesian Statistics Year 4

This module builds on the combinatorial ideas of the modules. Combinatorics and Extremal Combinatorics and introduces some of the more advanced tools for solving combinatorial and graph theoretic problems. Significant emphasis will be on the techniques as well as the results proved.

The module aims to introduce you to the Bayesian paradigm. The module will show you some of the problems with frequentist statistical methods, show you that the Bayesian paradigm provides a unified approach to problems of statistical inference and prediction, enable you to make Bayesian inferences in a variety of problems, and illustrate the use of Bayesian methods in real-life examples.

Advanced Cosmology

Complex Systems

Cosmology is a rapidly developing subject that is the focus of a considerable research effort worldwide. It is the attempt to understand the present state of the universe as a whole and thereby shed light on its origin and ultimate fate. Why is the universe structured today in the way that it is, how did it develop into its current form and what will happen to it in the future? The aim of this module is to address these and related questions from both the observational and theoretical perspectives. The module does not require specialist astronomical knowledge and does not assume any prior understanding of general relativity.

Complex systems can be defined as systems involving many coupled units whose collective behaviour is more than the sum of the behaviour of each unit. Examples of such systems include coupled dynamical systems, fluids, transport or biological networks, interacting particle systems, etc. The aim of this module is to introduce you to a number of mathematical tools and models used to study complex systems and to explain the mathematical meaning of key concepts of complexity science.

Advanced Combinatorics

Applied Statistics This module incorporates a large number of genuine applications of statistics presented by a series of different lecturers. In this way you

Dynamical Systems A dynamical system is any system which evolves over time according to some pre-determined rule. The goal of dynamical systems theory is to understand this evolution. For example: fix your favourite function f from the unit interval to itself (for example cos(x)); now

School of Mathematical Sciences

choose some point x(0) in the interval, and define x(1)=f(x), x(2)=f(f(x)), etc (i.e. x(n) is the result of applying the function f to the point x(0) n times). How does the sequence of points x(n) behave as n tends to infinity? How does this behaviour change if we choose a different initial point x(0)? What if we investigate a system which evolves continuously over time? Dynamical systems theory seeks to answer such questions. The more interesting systems are the ''chaotic'' ones, where varying the initial point x(0) leads to very different behaviour of the sequence x(n).

Further Topics in Algebra

Topology

This module provides exposure to advanced techniques in algebra. Algebra encompasses familiar objects such as integers, fields, polynomial rings and matrices and has applications throughout mathematics including to geometry, number theory and topology. The module will complement earlier algebra modules and will cover topics either in commutative or noncommutative algebra. Included will be basic definitions and theorems in either case, normally with rings or fields as a starting point.

Topology is the study of properties of shape which remain the same when pulled, pushed or squeezed by a continuous process of deformation. For example, the property of a space being connected or a surface having a hole is a topological property. In this module we start with general point set topology and formal definitions and move on to study powerful algebraic invariants such as the fundamental group. Topology allows access to many exciting areas of modern mathematics.

Student life â&#x20AC;&#x201C; Studentsâ&#x20AC;&#x2122; Union, student support and health services

School of Mathematical Sciences

Student life – Students’ Union, student support and health services

Students’ Union All Queen Mary students automatically become members of QMSU, an active and flourishing Students’ Union run by students for students. Best known for its clubs and societies, there are literally hundreds to choose from, whether your interests lie in football or philately. And if you have a passion that isn’t represented, you can always start your own club. Clubs and societies provide a great opportunity for meeting people, especially those who are studying a different subject to you. One of the aims of QMSU is to ensure that your time at university is not just about work, but also includes socialising and personal development.

QMotion QMotion is Queen Mary’s recently refurbished Health and Fitness centre. Equipped with a great range of exercise machines and weights, there’s also a women only area and loads of classes including yoga, spinning and Pilates. There’s a squash court and sports hall on campus, and a swimming pool a short distance away.

Sports Playing sports is a good way to relax after a day spent studying. Queen Mary teams regularly compete against other college teams, and there’s a great social scene with after-match drinks and a regular social night, Hail Mary, hosted by one of the SU’s sports teams. There’s even a team of cheerleaders, the Queen Mary Angels!

QM Provide: Volunteering Volunteering with charities and non-profit organisations is a brilliant way to explore what London has to offer, make a difference and really get involved in your local area. You can volunteer on a regular basis in a placement with a local charity or organisation, doing anything from mentoring local school kids, to volunteering in local hospitals, to becoming a helpline volunteer and managing a local sports team. See: www.providevolunteering.org

Student support You will be assigned an academic adviser when you start at Queen Mary, and the same adviser will stay with you throughout your studies. Your adviser will help you choose which modules to take (some programmes offer greater flexibility when it comes to module choices), sign any forms you need and help you with any academic or personal problems that you have.

Many students find it extremely helpful to have one adviser on hand throughout their time at Queen Mary.

Health services All the services are provided for all students and staff living in the London Borough of Tower Hamlets. In order to access these services and other available services under the NHS, you need to register with the Globe Town surgery at the Student Health Centre at the beginning of term. Students living outside Tower Hamlets can be treated on campus in the event of an urgent medical situation. For more information see: www.globetown.org/qmu/

Advice and counselling Our advice service offers in-depth and specialist advice on a range of financial, practical and legal issues, such as student finance, housing rights, immigration law and international student issues. Counselling is also available – from cognitive behavioural therapy, ongoing weekly therapy groups and support groups on specific issues such as anxiety, academic performance. Our advice and counseling service is a completely free and confidential service. For more information see: www.welfare.qmul.ac.uk

Accommodation

School of Mathematical Sciences

Accommodation

If you live close enough to the College to commute, you will normally be expected to live at home until rooms become available after term begins, once all those students who cannot commute are housed. Once you have firmly accepted your offer to study at Queen Mary, full details on how to apply for College housing will be sent to you by the Admissions Office. Queen Mary students also have access to places in the fullycatered Intercollegiate Halls in central London, which are owned centrally by the University of London.

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You feel like you belong a bit more, living on campus. The place is packed with people all doing the same thing, unloading their cars at the beginning of term. It’s really sociable. Jen Holton

Another option is a house share. There are a number of privately let houses in the area suitable for groups of students to share. The residences office can put you in touch with local landlords, as well as groups of students who are looking for extra people to make up numbers. For more information, see: www.residences.qmul.ac.uk

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If you are a single full-time firstyear undergraduate, apply during the normal admissions cycle, and have not lived in Queen Mary’s housing before, you may be eligible for accommodation on campus. Priority is given to those applying by the deadline of 30 June of the year of entry, and those who live furthest away. This offer does not extend to students who join through the Clearing process or those holding insurance offers with Queen Mary, although every attempt is made to accommodate them, subject to availability.

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Queen Mary’s Student Village incorporates 2,000 rooms on campus, all provided in selfcatered houses, flats and maisonettes. All rooms in the Village have a bathroom en-suite, and you’ll share a kitchen.

I had a beautiful canal view from my room. I just can’t believe this is student accommodation – it’s very airy, bright, fresh and clean. Fariah Khan

School of Mathematical Sciences Entry requirements

School of Mathematical Sciences

School of Mathematical Sciences Entry requirements

A/AS-levels

Tariff/Grades requirement: BSc programmes: 340 points including grade A in A-level mathematics for most BSc programmes. However, if you have a grade B in A-level further mathematics, then we will accept a grade B in A-level mathematics. For GL11 we require AAB at A-level • MSci programmes: 360 points including grade A in A-level mathematics Additional information: The UCAS points should be obtained from three A-levels, or two A-levels and two AS-levels. • General studies may be included in the points total if accompanied by at least two other A-levels • you must also have at least grade C in GCSE English language, or equivalent.

Vocational or applied Alevels

Up to two vocational A-levels may be offered, or one double award, but applicants must also offer GCE A-level maths. Overall UCAS points total and A-level maths grade as above. Progression, Advanced or Extended (level-3) Diplomas are acceptable for all programmes except GL11 when combined with or including A-level maths. Overall UCAS points total and A-level maths grade as above. Additional information: You must also have at least grade C in GCSE English language, or equivalent.

BTEC Level 3 Diploma (120 credits)

BTEC Level 3 Extended Diploma

Acceptability: Acceptable only when combined with GCE A-level maths. Subjects and grades required: Overall UCAS points total and A-level maths grade as for A/AS-levels. Additional information: You must also have at least grade C in GCSE English language, or equivalent.

(180 credits)

International Baccalaureate

Acceptability: Acceptable on its own or combined with other qualifications. Subjects and grades required: 36 points total including Higher Level mathematics at grade 7.

European Baccalaureate

Acceptability: Acceptable on its own or combined with other qualifications. Subjects and grades required: 80 per cent average including 80 per cent in Higher (5-hour) maths.

Access to HE Diploma

Credits required: Distinction in at least 18 credits of mathematics at level 3 and merit in at least another 27 credits at level 3. Additional information: Mathematics based course. This is not accepted for entry onto GL11. Recognised by the Quality Assurance Agency for HE

European and international qualifications

The College accepts a wide range of EU and international qualifications, including selected international foundation programmes. For further information please contact the Admissions Office, or visit: www.qmul.ac.uk/international/countries

Other qualifications

The College welcomes applications from those holding qualifications not listed above. Staff in the Admissions Office will be happy to advise you as to the acceptability of your qualification.

Living in London

School of Mathematical Sciences

Living in London

With eight million residents, London is up there with Tokyo and NYC in terms of sheer size. Yet rather than a single city, London is actually a patchwork of different areas – many of them former villages in their own right. Many retain their own centres, with a parade of shops, bars and restaurants that reflects its own particular and historic character. Depending on your mood, the occasion and the kind of place you are looking for, you can make this diversity work to your advantage – there’s always somewhere that will suit your mood, budget, and the kind of occasion you are looking for. Queen Mary’s main campus is at Mile End, well connected to the rest of the city by tube. Mile End (Central line) and Stepney Green (Hammersmith and City, and District lines) are both a short walk away.

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A world-famous city and the nation’s capital, London is an exciting place to live. If you’re new to the city, you’re in for a treat; and if you’ve lived here before, then you’ll know there’s always more to explore. Either way, student life in London promises to be an adventure.

Why, Sir, you find no man, at all intellectual, who is willing to leave London. No, Sir, when a man is tired of London, he is tired of life; for there is in London all that life can afford. Samuel Johnson

School of Mathematical Sciences

Living in London

1 Old Street, and surrounding EAT… Yelo, on Hoxton Square (Thai food) Shish, an upmarket kebab restaurant. VISIT… White Cube2 Gallery. This area is the epicentre of the East End’s artistic community. SHOP… The Hoxton Boutique. The Sunday Flower Market at Columbia Road is legendary amongst Londoners.

2 Shoreditch, and Brick Lane EAT… Brick Lane is London’s ‘Curry Capital’– an entire street lined with Indian and Bangladeshi restaurants. Brick Lane Beigel Bake, open 24-hours (great for bagel emergencies). VISIT… The Old Truman Brewery, a converted brewery and home to numerous fashion designers, artists and DJs.

3 Bow Wharf The complex includes: The Fat Cat Café Bar; The Thai Room; and Jongleurs Comedy Club, which, as well as the comedy, has a bar and restaurant plus post-comedy disco on Friday and Saturday nights.

4 Docklands, and Canary Wharf EAT… Ubon by Nobu (the sister restaurant to the West End favourite of the stars), or Carluccio’s, an Italian chain serving exceptional food. Wagamama in the Jubilee Place Mall. Bene Bene, which offers a huge selection of seriously cheap sandwiches, salads, bagels and desserts. VISIT… The Museum of London, Docklands, which explores the story of the docks from Roman settlement through to recent regeneration.

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School of Mathematical Sciences

5 Bethnal Green, and Victoria Park

6 Mile End, and surrounding area

EAT… E Pellici, on Bethnal Green Road, an Italian greasy spoon café which has been around since 1900. Nando’s, Hackney Village for a range of other restaurants and cafes, including Frocks, Mojo’s and Déjà Vu. VISIT… Modern Art and Vilma Gold galleries on Vyner Street, just north of Bethnal Green.

EAT… with Mile End’s big range of eating places, our students never go hungry, whatever their culinary skills. Wetherspoon's pub, offering the ‘cheap and cheerful’ deals. The Morgan Arms, a bit more of an up-market pub. The Golden Bird (Chinese), The Pride of Asia (Indian), Matsu (Japanese) restaurants, if you like to eat your way around the world. Roastars coffee shop, for a small caffeine buzz at the start of the day.

VISIT… Mile End Park, 90 acres of greenery in the heart of the East End where you’ll find an ecology park; an arts park; and a terraced garden and a sports park. The Mile End Stadium, includes an eight lane athletics track, artificial hockey/football pitches and grass football pitches. The Genesis Cinema, go on Wednesday night for a student discount. The Whitechapel Gallery: famous for exhibitions by big name artists.

Frequently asked questions

School of Mathematical Sciences

Frequently asked questions

How is the academic year structured? The academic year at Queen Mary, University of London is split into two semesters. In each semester you will take four modules. Each module will typically require you to attend three lectures per week and there will be exercise classes associated with it also. The exercise classes are an excellent chance for you to work more closely with the lecturer and postgraduate students. It is important that you prepare for these sessions as there may not always be enough time to work through everything in the class time.

Which modules will I take? The modules you take depend on which degree programme you are studying, and within most degrees there is considerable choice from the second year onwards. In the first year, all single honours students take modules covering calculus, geometry, algebra, differential equations, computational mathematics, probability and statistics. In subsequent years you will have some options and you can tailor your timetable to your specific interests. You will be guided in your choices by an Adviser who is a member of academic staff. You will meet them at the beginning of each semester to discuss your

programme of modules and again during the semester to discuss your progress.

How are the modules assessed? Modules are assessed primarily by formal written examination at the end of the academic year (80 per cent of the final mark). There is also normally a component of inmodule assessment by coursework (10 per cent) and a mid-term test (10 per cent). All modules count towards your final degree classification but those in later years are given more weight.

Are there any scholarships available? If you are a home/UK student and achieve higher than AAA (or equivalent) you may be awarded an Excellence Scholarship of £3,000 per year of study. Full details are available online. Enter the term “Excellence Scholarships” into our search: www.qmul.ac.uk For international students, there are Excellence Awards available of a £1,500 fee reduction if you meet the entry requirements or if you exceed AAA (or equivalent) you could be awarded a £4,000 deduction. Full details are available on our website: www.qmul.ac.uk/international/ scholarships/

Will I qualify for any professional exemptions? The Actuarial Profession has agreed to award exemption from CT3 to students who achieve an average examination mark of 60% or higher on the three modules: Statistical Modelling I, Probability Models and Statistical Methods. It is possible to take these three modules in all our degree programmes, although in some cases you must select your options appropriately, but this will be done in partnership with your academic adviser. We hope to add further exemptions shortly.

Who can I go to for help? No matter what the problem is, your Adviser is there to help you. Whether it’s academic, financial, medical or something else, you should discuss it with your Adviser as soon as it arises. They are in the best position to advise you on any problems you may have, and can refer you to the appropriate person within the College. We also have a Pastoral Tutor who takes responsibility for non-academic matters concerning students. They will liaise with Advisers and the Health, Counselling and Welfare services, as appropriate. In terms of academic support, we have a Peer Assisted Study Support (PASS) programme, which involves second and third year

School of Mathematical Sciences

Frequently asked questions

mathematical sciences students leading study groups which will help you study and prepare for exams. This can be a very effective way of studying as you can benefit from the experience of your peers.

Can I live oncampus? We have over 2,000 rooms available as part of our Student Village for students, some of which are en-suite. However, we cannot guarantee you accommodation, therefore please apply as soon as you have accepted your offer from us. Of course, if you don’t get a room on campus then you can ask our Residences office for advice on where to look in the area. For more information on our accommodation please visit: www.residences.qmul.ac.uk

What is there to do on campus? There are a number of leisure and entertainment facilities on campus. The newly refurbished Drapers Bar offers everything from food, coffees and smoothies during the day to a first-class entertainment venue at night, playing host to London’s top DJs. Also, at our new state-of-the-art Health and Fitness Centre you will be able to enjoy reasonably priced gym membership and fitness classes. You can find more information about the facilities available to you on the Students’ Union website: www.qmsu.org

What kind of activities can I get involved in outside my degree course? We have a number of student societies ranging from sports (eg rugby, football, basketball) to common interest (eg volunteering, poker, chocolate). Wednesday afternoons are traditionally reserved for these types of activities. In Freshers’ Week you will be able to find out what societies are on offer and what exactly they do. You can find information on our societies at the Students’ Union website: www.qmsu.org

Can I arrange a visit? Applicants will be invited to attend one of our Visit Days, which provide an opportunity to see the College campus and meet both staff and students. You can also attend either our Open Day in April or Campus Visit Day in September. However, if you can’t make these then you can always arrange a campus tour. For full details on all of these events and to find out how to book a campus tour visit: www.qmul.ac.uk/visitus We also have maths-specific events running throughout the year. Full details on our website: www.maths.qmul.ac.uk/schools

Next steps

School of Mathematical Sciences

Next steps

There are three types of applicant:

We run a range of activities throughout the academic year to give you an opportunity to visit the School of Mathematical Sciences to experience life as an undergraduate first hand. These include taster days and a week long summer school. Visit www.maths.qmul.ac.uk/schools for full details.

1 Students at a school or college registered with UCAS

In addition to the School activities, the College has two open days each year: one in June and a second in September. If you are unable to visit us at any of these times then you can book a campus tour. Information can be found online at www.qmul.ac.uk/visitus

Applying to Queen Mary For all full-time higher education programmes at universities and colleges in the UK, students must apply online at: www.ucas.com You’ll find full instructions to help you fill in your online application, plus help text where appropriate. UCAS also has a comprehensive guide called Applying Online, which can be downloaded from the website (www.ucas.com). You can also visit our QM:Insight pages which offers guidance on applying to university www.qmul.ac.uk/qminsight

All UK schools and colleges (and many establishments overseas) are registered with UCAS to manage their students’ applications. Advice is available from your teacher or a careers adviser at your school or college. You fill in an online application and submit it to a member of staff. After checking your details, and having added the academic reference, your school or college submits the completed application online to UCAS. You pay online using a credit card or debit card. You may also be able to pay through your school or college. 2 Independent applicants in the UK Other UK applicants, who are not at school or college, apply online independently. It is likely that you are a mature applicant, who, unlike school and college students, cannot readily seek advice from your teacher, but can instead consult with various careers organisations (such as Connexions). You are responsible for paying the correct application fee, for obtaining and attaching the academic reference and for submitting the completed application online to UCAS.

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Visit us

It’s really important to go to the University to visit and talk to students about what it’s like to study there Daniel Pena-Marquez Mathematics student

3 International applicants outside the UK (EU and worldwide) Except for those whose school or college is registered with UCAS, individuals from the EU (excluding the UK), and worldwide, apply online independently. Advice is available from British Council offices and other centres overseas, such as your school or college or one of our overseas representatives. You will find a step-by-step guide to applying at: www.qmul.ac.uk/international/ howtoapply/index.htm

Contact us School of Mathematical Sciences Queen Mary, University of London Mile End Road London E1 4NS Tel: 0207 8825470 Fax: 0207 8827684 email: maths-ug@qmul.ac.uk www.maths.qmul.ac.uk

School of Mathematical Sciences Queen Mary, University of London Mile End Road London E1 4NS Tel: +44 (0)207 882 5470 Fax: +44 (0)207 882 7684 email: maths-ug@qmul.ac.uk For more information see: www.maths.qmul.ac.uk

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