Queen Mary University of London Maths UG

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

www.maths.qmul.ac.uk

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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

Modules descriptions

2 6 14

Career opportunities

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Introduction

Degree programmes

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

Accommodation School of Mathematical Sciences Entry requirements

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

Introduction

School of Mathematical Sciences

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School of Mathematical Sciences at Queen Mary, University of London

Welcome to the School of Mathematical Sciences at Queen Mary, University of London.

As one of the largest mathematics departments in the UK we offer our undergraduates 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 the work that they do. You as an undergraduate student 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 focussed on student support. We want to equip our graduates with the skills and abilities they need to be successful in their career.

Alongside the Careers Service we work to 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 us can be found on our website: www.maths.qmul.ac.uk

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 • 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).

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School of Mathematical Sciences

School of Mathematical Sciences at Queen Mary, University of London

Why study mathematical sciences at Queen Mary?

You can choose from a range of degree programmes, from pure mathematics to combinations with computing, business and finance.

All of our programmes have defined core modules which you are required to complete.

However, you have flexibility when you have options 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 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 Hive study area.

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.

Degree programmes

School of Mathematical Sciences

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Degree programmes

Mathematics G100 BSc/Math (three years)

Computing • Algorithmic Graph Theory • Number Theory • Oscillations, Waves and Patterns • Statistical Theory

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 • Algorithmic Graph Theory • Chaos and Fractals • Coding Theory • Combinatorics • Communicating and Teaching Mathematics • Complex Analysis • Cryptography • Entrepreneurship and Innovation • Introduction to Mathematical Finance • Further Topics in Mathematical Finance • Linear Algebra II • Random Processes • Relativity • Statistical Modelling II • Statistical Theory • Third Year Project • among many others, see www.qmul.ac.uk/modules

Programme outline

Programme description

Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Differential Equations • Introduction to Mathematical Computing • Introduction to Algebra • Introduction to Probability • Introduction to Statistics

In this degree programme you will

Year 2 Linear Algebra I Options include: Calculus III • Convergence and Continuity • Dynamics of Physical Systems • Mathematical Writing • Probability Models • Statistical Methods • Algebraic Structures I • Complex Variables • Differential and Integral Analysis • Geometry II: Knots and Surfaces • Statistical Modelling I • Introduction to Numerical

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, 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)

Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Differential Equations • Introduction to Mathematical Computing •

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School of Mathematical Sciences

Degree programmes

Introduction to Algebra • Introduction to Probability • Introduction to Statistics Year 2 Convergence and Continuity • Linear Algebra I • Mathematical Writing • Algebraic Structures I • Complex Variables • Differential and Integral Analysis • Options include: Algorithmic Graph Theory • Number Theory • Calculus III • Geometry II: Knots and Surfaces Year 3 Options include: Algebraic Structures II • Chaos and Fractals • Coding Theory • Combinatorics • Communicating and Teaching Mathematics • Complex Analysis • Cryptography • Fields and Galois Theory • Linear Algebra II • Metric Spaces • Random Processes • Statistical Theory • Third Year Project • Topology • among many others, see www.qmul.ac.uk/modules

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 • Differential Equations • Introduction to Mathematical Computing • Introduction to Algebra • Introduction to Probability • Introduction to Statistics Year 2 Linear Algebra I • Statistical Methods • Statistical Modelling I • Statistical Theory • Options include: Calculus III • Algebraic Structures I • Convergence and Continuity • Complex Variables • Dynamics of Physical Systems • Differential & Integral Analysis • Mathematical Writing • Geometry II: Knots and Surfaces • Probability Models Year 3 Options include: Statistical Modelling II • Time Series • Actuarial Mathematics • Algorithmic Graph Theory • Design of Experiments • Oscillations, Waves & Patterns • Bayesian Statistics • Computational Statistics • Topics in Probability and Stochastic Processes • among many others, see www.qmul.ac.uk/modules

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 • Geometry I • Differential Equations • Introduction to Probability • Introduction to Statistics • Fundamentals of Management • Economics for Business Year 2 Linear Algebra I • Financial Accounting • Introduction to Algebra • Marketing • Options include: Calculus III • Oscillations, Waves & Patterns • Dynamics of Physical Systems • Statistical Theory • Statistical Methods • Complex Variables • Actuarial Mathematics • Geometry II: Knots and Surfaces

School of Mathematical Sciences

Year 3 Strategy • Management of Human Resources • Options include: Random Processes • Time Series • Computational Statistics • Design of Experiments • Statistical Modelling II • Combinatorics • Chaos and Fractals • Linear Algebra II • Entrepreneurship and Innovation • Coding Theory • Cryptography • Introduction to Mathematical Finance • Further Topics in Mathematical Finance • Advanced Statistics Project

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 • Geometry I • Differential Equations • Introduction to Probability • Introduction to Statistics • Fundamentals of Management • Economics for Business Year 2 Linear Algebra I • Statistical Modelling I • Statistical Methods • Actuarial Mathematics • Financial Accounting • Marketing • Managerial Accounting • Options include: Calculus III • Complex Variables Year 3 Strategy • Financial Management • Management of Human Resources • Introduction to Mathematical Finance • Options include: Further Topics in Mathematical Finance • Time Series • Random Processes • Statistical Modelling II • Statistical Theory • Computational Statistics • Design of Experiments • Combinatorics • Entrepreneurship and Innovation • Linear Algebra II • Number Theory • Coding Theory • Cryptography • Communicating and Teaching Mathematics • 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

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

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Introduction to Statistics • Introduction to Probability • Macroeconomics I • Economics Principles • Microeconomics I Year 2 Linear Algebra I • Statistical Modelling I • Statistical Methods • Statistical Theory • Games and Strategies • Microeconomics II • Financial Markets and Institutions • Capital Markets I Year 3 Corporate Finance I • Options include: • Futures and Options • Corporate Finance II • Statistical Modelling II • Design of Experiments • Time Series • Random Processes • Computational Statistics • Linear Algebra II • Introduction to Mathematical Finance • Further Topics in Mathematical Finance • Advanced Statistics Project

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Degree programmes

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

Design of Experiments • Further Topics in Mathematical Finance • Random Processes • Computational Statistics • Linear Algebra II • Advanced Statistics Project • Entrepreneurship and Innovation

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 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.

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Differential Equations • Introduction to Probability • Introduction to Statistics • Financial Accounting • Economics for Business Year 2 Linear Algebra I • Statistical Modelling I • Statistical Methods • Actuarial Mathematics • Financial Institutions • Managerial Accounting • Options include: Calculus III • Complex Variables Year 3 Introduction to Mathematical Finance • Financial Management • Statistical Theory • Options include: Statistical Modelling II • Time Series •

Mathematics and Computing GG14 BSc/MatC (three years)

Programme description The use of computers in mathematics has revolutionised the way mathematicians work.

Computers can be used to help us to visualise complicated surfaces and fractals or even help in the search for ever larger prime numbers. You will develop an

understanding of both mathematics and computing, with emphasis on the use of computers to solve mathematical problems. At least a quarter of your time will be spent studying computer science modules and there are additional modules in mathematical computation. You can choose your remaining modules from across the range of mathematics and computing. As a result, you will learn at least two computer-programming languages: Java for computer science and Maple for mathematics.

Programme outline Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Introduction to Algebra • Introduction to

School of Mathematical Sciences

Probability • Introduction to Statistics • Procedural Programming • Object Oriented Programming

years, you have considerable flexibility in your choice of mathematics modules.

Programme outline Year 2 Introduction to Mathematical Computing • Introduction to Numerical Computing • Linear Algebra I • Language and Communication • Algorithms and Data • Options include: Calculus III • Algebraic Structures I • Mathematical Writing • Complex Variables • Probability Models • Statistical Methods • Algorithmic Graph Theory • Number Theory • Statistical Theory Year 3 Options include: Specification and Reasoning • Artificial Intelligence • Computer Graphics • Combinatorics • Mathematical Computing Project • Algorithms and Complexity • Computability • Coding Theory • Cryptography • Chaos and Fractals • Communicating and Teaching Mathematics

Mathematics with Psychology G1C8 BSc/MWP (three years)

Programme description If you are interested in a thorough grounding in mathematics and a broad understanding of issues in psychology within a mathematical context, then this could be a suitable programme for you. The subjects covered include six mathematics or statistics modules with two psychology modules each year. In the second and final

Year 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Differential Equations • Introduction to Probability • Introduction to Statistics • Exploring Psychology • Cognition, Evolution and Behaviour Year 2 Linear Algebra I • Statistical Modelling I • Statistical Methods • Statistical Theory • Cognitive Psychology • Social and Developmental Psychology • Options include: Calculus III • Dynamics of Physical Systems • Mathematical Writing • Introduction to Algebra • Geometry II: Knots and Surfaces Year 3 Statistical Modelling II • Personality and Individual Differences • Animal Cognition • Options include: Linear Algebra II • Time Series • Design of Experiments • Random Processes • Statistical Theory • Computational Statistics • Combinatorics • Actuarial Mathematics • Entrepreneurship and Innovation • Number Theory • Bayesian Statistics • Communicating and Teaching Mathematics • Cryptography

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Mathematics Mathematics with Statistics G102 MSci/Mat (four years) G1G3 MSci/MatSt (four years)

Programme description 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 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 1 Essential Mathematical Skills • Calculus I and II • Geometry I • Differential Equations • Introduction to Mathematical Computing • Introduction to Algebra • Introduction to Probability • Introduction to Statistics • Year 2 Convergence and Continuity • Algebraic Structures I • Linear Algebra I • Differential & Integral Analysis • Mathematical Writing • G1G3: Statistical Methods • Statistical Modelling I • Statistical Theory • Options

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School of Mathematical Sciences

Degree programmes

include: Calculus III • Dynamics of Physical Systems • Complex Variables • Oscillations, Waves and Patterns • Geometry II: Knots and Surfaces • Introduction to Numerical Computing • Algorithmic Graph Theory • Number Theory • Actuarial Mathematics Year 3 Options include: Combinatorics • Algebraic Structures II • Chaos and Fractals • Linear Algebra II • Relativity • Linear Operators and Differential

Equations • Metric Spaces • Coding Theory • Complex Analysis • Cryptography • Time Series • Random Processes • Design of Experiments • Statistical Modelling II • Advanced Statistical Modelling • Mathematical Aspects of Cosmology • Fluid Dynamics • Fields and Galois Theory • Computational Statistics • Bayesian Statistics Year 4 MSci Project Options include: Advanced Cosmology • Applied Statistics • Enumerative

and Asymptotic Combinatorics • Group Theory • Introduction to Dynamical Systems • Mathematical Statistics • Rings and Modules • Solar System • Astrophysical Fluid Dynamics • Extrasolar Planets and Astrophysical Discs • Extremal Combinatorics • Measure Theory and Probability • Relativity and Gravitation • Stellar Structure and Evolution • The Galaxy • Topics in Probability and Stochastic Processes • Topology

Module descriptions

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Module descriptions

This section contains a selection of our modules and includes core modules for the different degree programmes, however please note that there are more optional modules available to you. Full details can be found on our website.

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 complex numbers, infinite series including power series, and develops techniques of differential and integral calculus in the multivariate setting.

Geometry I Properties of two- and threedimensional 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.

Differential Equations

Introduction to Probability

This is an applied calculus module, which follows on from the Calculus I and Geometry I modules. The purpose of the module is to develop techniques of solving differential equations and also to show how a higherorder differential equation can be seen geometrically as a vector field. This brings in discussions of matrices, eigenvalues and eigenvectors. Some applications are given.

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 probability and independence.

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

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 is an introduction to the basic notions of algebra, 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.

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.

Fundamentals of Management (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

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School of Mathematical Sciences

Module descriptions

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 for Business (GN13, G1N4) 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 unit examines the main concepts of economic theory and explores the 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.

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 I (GL11) This module will cover: Introduction to microeconomic modelling; Elementary theory of markets; Consumer theory: Preferences, budgets and demand; Expected utility theory and intertemporal choice

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 markets; demand, supply and price in 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; growth.

Financial Accounting (G1N4) 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 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,

School of Mathematical Sciences

Income Statements (Profit Statements) and Cash Flow Statements, and through the use of financial ratios.

Procedural Programming (GG14) This is an introductory module in computer programming using Java. You will learn the basic concepts of programming and learn to write and reason about simple programs. The main topics covered are: storing and manipulating data, control structures, methods and recursion, and algorithms for searching and sorting data.

Classes include weekly lectures and lab sessions. You will be assessed by coursework throughout the term and by an end-of-term exam. Both will require you to demonstrate that you can write programs and understand theory.

Object Oriented Programming (GG14) Major topics include the concepts of class, object, method, subclass, inheritance and their use in programming. The relevance of the object oriented style with respect to concrete software problems will be stressed both in lectures and labs. There will be two hours of lectures per week, and each student will have a weekly timetabled lab session. In addition, you will be expected to spend further time outside scheduled lab periods in the lab (or at home machines if they are available), and to read textbooks and review notes.

Exploring Psychology (G1C8) This module introduces and develops basic concepts in the philosophy of science and its relevance to psychology as a discipline. A biological framework for psychological science is also provided. It then introduces basic cognitive science/psychology, social psychology, differential psychology and an introduction to brain and behaviour relationships.

Cognition, Evolution and Behaviour (G1C8) The module reviews areas such as animal cognition, animal behaviour, evolutionary psychology, developmental processes in the human infant and child, how comparative work may inform developmental psychology, and the extent to which it could be argued that humans are unique in the animal kingdom.

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.

Statistical Theory The theory developed will be used to justify the methods introduced in Introduction to Statistics and

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will be used to analyse data from a variety of applications. The module will cover estimation, methods of estimation, confidence intervals, and testing.

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 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.

Statistical Methods 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

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School of Mathematical Sciences

Module descriptions

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

Complex Variables This module covers the integral and differential properties of functions of a complex variable. In addition, students will also cover complex differentiation, CauchyRiemann equations, harmonic functions, sequences and series, Taylor and Laurent series, singularities and residues, amongst others.

Algebraic Structures The modern axiomatic approach to mathematics is demonstrated in the study of the fundamental theory of abstract algebraic structures: group theory, subgroups, generators, Lagrange’s theorem. We also look at normal subgroups, homomorphisms, isomorphism theorems. Ring theory, integral domains, ideals, homomorphisms and isomorphism theorems, polynomial rings, Euclidean algorithm and fields of fractions.

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 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.

Convergence and Continuity This module introduces some of the mathematical theory behind Calculus. It answers questions such as: What properties of the real numbers do 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.

Managerial Accounting (GN13, G1N4) 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.

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.

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 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

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differing users of financial accounting information.

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.

Financial Markets and Institutions (G1N4, 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. The students are expected to learn applying 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.

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.

Algorithms and Data (GG14) Algorithms are "ways of doing something", data structures are ways of combining collections of data to form a coherent whole.

Many algorithms are about processing collections of data; an obvious example being to rearrange a collection to put it in some sorted order. This module will introduce the basic concepts

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School of Mathematical Sciences

Module descriptions

of algorithms and data structures expressed using the Java programming language.

Language and Communication (GG14) This module is centred on grammar and language. Grammar is crucial in computing, and in life. You will gain fluency in building new grammars, and analysing/understanding existing ones. Hands on experience will be given using XML.

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.

Cognitive Psychology (G1C8) The material covered will include traditional cognitive psychology, cognitive neuroscience and cognitive neuropsychology (the understanding of normal cognitive processes through unique case studies of human brain damage).

Cognitive functions examined will include visual, object and spatial perception, psychophysics,

memory processes, complex reasoning, language, face processing and the relationship between emotion and these processes. Experiments and studies from classical and modern cognitive psychology will be provided throughout.

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.

Computational Statistics Social and Developmental Psychology (G1C8) This module considers two main areas of psychological research: experimental social psychology which focuses on adult social behaviour and developmental psychology which focuses, primarily, on infant and child behaviour. The aim is to introduce these core areas and explore their relationship to contemporary biological paradigms in psychology. Key studies, and their ethical dimensions, from both traditional and modern experimental social and developmental psychology are provided throughout.

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.

Cryptography Cryptography is fundamental to

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.

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.

Topology 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.

School of Mathematical Sciences

Topology allows access to many exciting areas of modern mathematics.

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.

Communicating and Teaching Mathematics This module allows undergraduates to gain valuable transferable skills whilst 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.

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.

Chaos and Fractals The main aims are twofold: to illustrate (rigorously) 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.

Corporate Finance I 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 of the module 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.

Computer Graphics (GG14) This module is concerned primarily with computer graphics systems and in particular 3D computer graphics. The module

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will include revision of fundamental raster algorithms such as polygon filling and quickly move onto the specification, modelling and rendering of 3D scenes. In particular the following topics may be covered: viewing in 2D, data structures for the representation of 3D polyhedra, viewing in 3D, visibility and hidden surface algorithms, illumination computations. Some attention will be paid to human perception of colour and interactive 3D such as virtual reality.

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.

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.

Career opportunities

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Career opportunities

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

Student profile

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.

Previous events have also included

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.”

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School of Mathematical Sciences

Career opportunities

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 the mathematics you are learning in context of different areas of work, from business and finance to the space industry. You can download both of these brochures as a PDF from www.maths.qmul.ac.uk/ undergraduate/careers).

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 more information on career opportunities and options for further study at the following websites: www.mathscareers.org.uk www.prospects.ac.uk www.maths-jobs.co.uk www.ft.com/jobs www.teach.gov.uk

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.

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

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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

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School of Mathematical Sciences Entry requirements

School of Mathematical Sciences

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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 for MSci programmes • the UCAS points should be obtained from 3 A-levels, or 2 A-levels and 2 AS-levels.

Additional information: General studies may be included in the points total if accompanied by at least two other A-levels • for G1C8 some previous experience of psychology may be advantageous • you must also have at least grade C in GCSE English language, or equivalent.

Vocational or applied A-levels

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, but only information technology and engineering Diplomas are acceptable for GG14. 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 National Certificate (12 units)

BTEC National Diploma (18 units)

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.

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.

International Baccalaureate

Acceptability: Acceptable on its own or combined with other qualifications.

Subjects and grades required: 34 points total including at least 6 points in Higher Level maths.

European Baccalaureate

Acceptability: Acceptable on its own or combined with other qualifications.

Subjects and grades required: 75 per cent average including 80 per cent in Higher (5-hour) maths.

Access to HE Diploma

Credits required: 60 (new) credits at level 3 including at least 18 in maths Additional information: Maths based course.

Recognised by the Quality Assurance Agency for HE

European and international qualifications

The university 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 and Recruitment Office will be happy to advise you as to the acceptability of your qualification.

Living in London

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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

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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 in Docklands, which explores the story of the docks from Roman settlement through to recent regeneration.

School of Mathematical Sciences

5

Kings Cross British Library

Victoria Park

3

EAST LONDON

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To Olympic Stadium

Bethnal Green

Euston

TOWER HAMLETS

Islington Bloomsbury

Stepney Green

Clerkenwell

6

Mile End

ULU: Students’ Union

1 Leicester Square

Chancery Lane

Barbican

Liverpool Street

Shoreditch Mile End Park

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Holborn

CITY OF LONDON

HOLBORN St Paul’s Temple

Blackfriars

Bank

Whitechapel Aldgate Limehouse

Tower Hill Tower of London

4 Canary Wharf

Mansion House Monument

Charing Cross

To O2 Arena

St James’ Park

SOUTHWARK

London Bridge

Wapping

Waterloo

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

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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.

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 mathematical sciences students leading study groups which will

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School of Mathematical Sciences

Frequently asked questions

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

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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 April 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: u.g.maths@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: u.g.maths@qmul.ac.uk For more information see: www.maths.qmul.ac.uk

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