Queen Mary, University of London Undergraduate Prospectus 2013

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Mathematical Sciences

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 • Financial Accounting • Marketing • Managerial Accounting • Options include: Probability Models • Introduction to Algebra Year 3 Strategy • Financial Management • Management of Human Resources • Introduction to Mathematical Finance • Actuarial Mathematics • Options include: Entrepreneurship and Innovation • Further Topics in Mathematical Finance • Statistical Modelling II • Statistical Theory • Time Series • Random Processes • Communicating and Teaching Mathematics • Third Year Project •Other modules may also be available as options, see www.qmul.ac.uk/modules

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 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.

Career opportunities Mathematics with Business Management Students who take this degree programme generally have an interest in working in the business and finance sector when they graduate, and the jobs they go into reflect this. They have found employment with companies such as KPMG and Merrill Lynch, in roles ranging from Securities Analyst to Auditor. Mathematics, Business Management and Finance Students take this degree programme because they are interested in finance, economics or business, and many go on to work for financial institutions. Others go on to graduate training schemes in a variety of companies: for example, with Enterprise Rent-a-Car. Mathematics, Statistics and Financial Economics Graduates have gone on to apply their excellent mathematical knowledge and skills to banking. Several have found employment as investment bankers, some with blue-chip companies such as Goldman Sachs. Of course, you are not restricted to working for financial companies – there are a wide range of sectors where you could gain employment. For example IT, pharmaceuticals, journalism, local and national government.

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 • Probability Models • Statistical Modelling I • Statistical Methods • Games and Strategies • Microeconomics II • Capital Markets I • Options include: Differential Equations • Introduction to Algebra Year 3 Financial Markets and Institutions • Corporate Finance I • Statistical Theory • Options include: Futures and Options • Corporate Finance II • Statistical Modelling II • Design of Experiments • Time Series • Random Processes • Third Year Project • Other modules may also be available as options, see www.maths.qmul.ac.uk/modules

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