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Masters
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Economics & Finance
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Master in Financial Mathematics (MSc) - Brunel University
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MASTERS

Master in Financial Mathematics (MSc) - Brunel University

Brunel University London
LondonUK
On campus
Full-time
€29,185.22/year
 4408 Points
Duration
1 Year
Language
English
Apply date
Jul 2024
Start date
Sep 2024

International Scholarships for September 2024 (Brunel)

Brunel University London offers scholarships for this postgraduate program. Apply through Brive until 31st July.

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Program Description

In this master in Financial Mathematics (MSc), 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 master in Financial Mathematics (MSc) 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 techniques (GPU-based high-performance computing).

Entry Requirements

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Course Content

The master in Financial Mathematics (MSc) 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 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

Jobs - 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
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