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Masters
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Economics & Finance
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Financial Mathematics
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MASTERS

Financial Mathematics

Brunel University London
London, Great Britain
On campus
Full-time
€14,206.47/year
 2130 Points
Duration
1 Year
Language
English

Program Description

Financial mathematics builds on the application of advanced concepts in modern probability theory to enable market professionals to tackle and systematically resolve a huge range of issues in the areas of pricing, hedging, risk management, and market regulation.

On this course you’ll put theory into practice by developing your numerical and computational skills to implement financial models. These are the skills you’ll need to work for a financial institution.

The course will give you a balanced mixture of advanced mathematics (including modern probability theory and stochastic calculus), modern finance theory (including models for derivatives, interest rates, foreign exchange, equities, commodities, and credit), and computational technique (GPU-based high-performance computing).

Entry Requirements

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Course Content

The programme offers six compulsory modules, taken by all, along with three elective modules from which you choose two modules. There are lectures, examinations and coursework in eight modules altogether, including the six compulsory modules. Additionally, all students complete an individual research project on a selected topic in financial mathematics, leading to the submission of a dissertation.

We aim to teach the key ideas in financial asset pricing theory from a modern perspective, using concepts and methods such as pricing kernels, market information filtrations, and martingale techniques.

This replaces the more traditional but old-fashioned approach based on the historical development of the subject. At each stage of the course you’ll undertake a critical re-examination of the hypotheses implicit in any financial model, with a view to gaining a clear grasp of both its strengths and its limitations. You’ll learn high-performance computing and the techniques to implement financial models.

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Teaching and Learning

Mathematics at Brunel has an active and dynamic research centre and many of our lecturers are widely published and highly recognised in their fields. Their work is frequently supported by external grants and contracts with leading industry and government establishments. Lecturers are consequently at the frontier of the subject and in active contact with modern users of mathematics.

This means that you can be assured that our academics are teaching you truly up-to-date methods and you’ll benefit from a wide range of expertise across the different areas of mathematics.

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Curriculum

Compulsory Modules

Computer Intensive Statistical Methods

Financial Markets

Interest Rate Theory

Option Pricing Theory

Probability and Stochastics

Research Methods and Case Studies

Dissertation

Optional Modules

Cryptocurrencies and Blockchain Technology

Fundamentals of Machine Learning

Time Series Modelling

Careers

You’ll be qualified to pursue a job in a number of different areas of financial modelling and risk management in:

  • the financial services industry
  • banks
  • asset management firms
  • hedge funds
  • pension funds
  • insurance and re-insurance companies
  • exchanges
  • corporate and sovereign treasuries
  • financial consultants
  • financial software developers
  • financial regulators
  • financial publishing houses
  • companies specialising in the analysis and distribution of financial information and data

There is also a demand in financial institutions for well qualified mathematically literate graduates with higher degrees for positions in the trading, structuring and marketing of financial products.

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