Mathematical Finance

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A challenging combination of rigorous academic study and practical career-oriented skills, this course is ideal for students wanting both knowledge of the main theoretical and applied concepts of finance and the mathematical methods needed to value innovative financial instruments.

The MSc Mathematical Finance is designed to produce well-rounded graduates equally suited to life in the financial world or in academia. It is particularly relevant to people working in, or planning to specialise in, derivative securities, investment, risk management or hedge funds, while also providing the necessary skills for subsequent doctoral work

School of Mathematics and Manchester Business School work together to give you advanced knowledge and understanding of finance at a mathematical level. Using current issues as a stimulus to teaching and learning, the course is delivered through lectures, case studies, seminars and group project-based work.

You gain an international perspective from working alongside staff and students from many different countries, and also have the opportunity to network through the School's alumni group

Module details

Typical course units will include: Derivative Securities; Foundations of Finance Theory; Martingales with Applications to Finance; Stochastic Calculus; Brownian Motion; Computational Finance; Financial Econometrics; and Stochastic Modelling in Finance.

For the dissertation, students will carry out an original piece of research on a subject relating to the programme. Our MSc dissertation topics are aligned with the research interests of leading financial institutions from the City of London and internationally.

A number of dissertation topics are proposed by senior members of these organisations and if approved are supervised by our academic staff. Successful completion could require a number of consultations between the student and financial institution officers, leading to a final presentation of findings.

Some of the organisations offering dissertation topics in 2006/07 include:

* Alliance and Leicester
* Standard Bank
* Morgan Stanley
* ABN AMRO
* Shell
* Numerical Algorithms Group (N.A.G.)

Academic entry qualification overview: We normally look for a UK bachelor degree with upper second class honours, or the overseas equivalent with excellent results in maths and quantitative subjects. When assessing your academic record, we take into account your grade average, position in class, references and the standing of the institution where you studied your qualification. We particularly welcome applications from institutions of high ranking and repute.You need to have studied or be studying a degree in mathematics. We can also consider excellent candidates with degrees in finance, engineering, physics or economics if a high level of mathematics has been studied.English language: Students whose first language is not English will be required to take an English language test. See here for more details.Other international entry requirements: We accept a range of qualifications from different countries. For these and general requirements including English language see entry requirements from your country. English Language Requirements CAE score: (read more) Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever. 60 (Grade C)