Loader
Course Image
Institution Image

Financial Mathematics, MSc Financial Mathematics, MSc Middlesex University

Middlesex University

Masters Degree , Financial Mathematics

View More

Course Description

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.

Why study MSc Financial Mathematics at Middlesex University?

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.

Course highlights

  • Our course combines a comprehensive grounding in the theory of financial mathematics with thorough practical training
  • Our subscriptions to Bloomberg and Datastream allow you to work with real datasets
  • We'll teach you to code for financial mathematics in widely-used programming languages, without the need for prior experience
  • Guest lectures from industry specialists allow you to gain insights from practising professionals into real-life situations
  • The course is designed either for graduates considering a financial career, or for those already working in the industry looking for a greater understanding of finance and insurance risk
  • As a student of this course you'll receive a free electronic textbook for every module.

Course Content

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.

Modules

  • Risk Measurement (15 credits) - Compulsory

  • Pricing and stochastic calculus (15 credits) - Compulsory

  • Portfolios and risk (30 credits) - Compulsory

  • Financial data and computing (15 credits) - Compulsory

  • Probability and stochastic processes (30 credits) - Compulsory

  • Project (60 credits) - Compulsory

  • International risk management (15 credits) - Optional

  • Time series and forecasting (15 credits) - Optional

  • Games and decisions (15 credits) - Optional

 

Entry Requirements

Qualifications

  • We welcome applications from graduates with a 2:2 honours degree, or equivalent qualification, in an appropriate subject
  • We also consider candidates with other relevant qualifications
  • Those without formal qualifications need to demonstrate three years' relevant work experience and the ability to study at postgraduate level.

Eligibility

UK/EU and international students are eligible to apply for this course.

Academic credit for previous study or experience

If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study.

Reviews

Similar Subjects

Computational Mathematics Engineering and Industrial Mathematics Financial Mathematics Mathematical Modelling Mathematics

RELATED COURSES