Quality Seal Emagister EMAGISTER CUM LAUDE

Financial Mathematics MSc

Middlesex University
In London (Grossbritannien)

£ 8.200 - (9.184 )
zzgl. MwSt.

Wichtige informationen

Tipologie Master
Beginn London (Grossbritannien)
Dauer 1 Year
Beginn September 2018
  • Master
  • London (Grossbritannien)
  • Dauer:
    1 Year
  • Beginn:
    September 2018

A combination of mathematics, statistics and computing, financial mathematics is a specialism vital to the day to day functioning of the world's economic institutions. Highly technical and theoretical aspects of mathematics take on a practical importance which can affect millions of lives through this fascinating discipline, which involves predicting the behaviour of markets and suggesting strategies for investment.

Wichtige informationen
Welche Ziele verfolgt der Kurs?

We believe strongly that the work you do must be relevant to the world of work , that's why our course has a strong practical slant. It also has the unusual and significant advantage of including from scratch training in computer programming, allowing you to develop first class computing skills alongside your mathematical expertise.You'll need a good degree in maths, or a related subject like physics or engineering, but no prior knowledge of finance.

Voraussetzungen: Interviews, entrance tests, portfolios and auditions Entry onto this course does not require an interview, portfolio or audition.


Wo und wann

Beginn Lage
The Burroughs, NW4 4BT, London, Grossbritannien
Karte ansehen
Beginn Sep-2018
The Burroughs, NW4 4BT, London, Grossbritannien
Karte ansehen

Was lernen Sie in diesem Kurs?

Financial Mathematics
IT risk
Financial Training
GCSE Mathematics
Financial Data
risk measurement


You’ll develop an advanced understanding of the concepts and techniques of financial mathematics and statistics, and of how financial data is gathered and analysed. These will include probability; financial data and technical terms; options pricing and asset pricing; distributions; the future of prices and exchange rates; hedging investments; advanced stochastic analysis; mathematical modelling and analysis; portfolio management and selection; and research methods and techniques. Through all this, you’ll develop the mathematical, financial and computational skills you need to make decisions; quantify and manage risks and balance risk with return; understand financial instruments; and evaluate and interpret financial data using programming and computer packages. You’ll also be able to source data from a range of different sources, including electronic databases.

There are five compulsory modules: portfolios and risk; probability and stochastic processes; risk measurement; financial data and computing; and pricing and stochastic calculus. You’ll then choose one further option from international risk management, time series and forecasting, and game and decision theories. At the end of the course you will submit a dissertation, which will allow you to gain in depth knowledge of an area that interests you.

Zusätzliche Informationen