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MSc Financial Computing


Course Description

Why Study Financial Computing?
Financial institutions are under considerable pressure to increase their computational capabilities. This is the result of increased regulatory requirements, new electronic and algorithmic trading channels as well as increased competition for speed and accuracy. This critical capability is delivered by a combination of mathematics, technology and finance.

As a result there is growing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

This unique programme provides numerate graduates with the expertise to develop a professional career in this profitable and intellectually exciting field. It has been designed to match the requirements of top employers in the industry.

Access to Expertise
The MSc in Financial Computing is directed and has been designed by Dr Sebastian del Bano Rollin former Global Head of FX Quantitative Research at Citigroup amongst other senior roles in the financial industry.

Get Industry Experience
The Financial Computing MSc can be enhanced with a one year industry placement that will allow you to gain valuable industry expertise.

Our Scholarships
We reward your academic excellence with scholarships for our MSc Financial Computing. This year we will be awarding five tuition fee scholarships of £5,000 each for outstanding graduates with degrees equivalent to a 2:1 or above.

The Programme
The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed both at science graduates with some experience in programming as well as engineering graduates with some mathematical exposure. The content of the programme is a combination of technology and applied financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance computing and GPU development. If you are studying full time with us, you will complete eight taught modules as well as completing a 10,000 word dissertation over the academic year. To view further information about the content and structure of our programme visit: http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/155455.html

Visit the MSc Financial Computing page on the Queen Mary University of London website for more details!

Videos
Student Profiles
(Scholarship)

Financial Computing Academic Excellence Award - 5 Awards

The School of Mathematical Sciences at Queen Mary University of London is pleased to offer up to 5 awards for Home/EU or Overseas students studying our MSc Financial Computing. The award is worth £5,000 each.

Value of Scholarship(s)

£5,000

Eligibility

For Home/EU or Overseas students applying to our Msc Financial Computing.The majority of our scholarships are competitive and as such students will need to have achieved grades equivalent to a UK First Class or Upper Second Class Bachelor’s degree or an overseas equivalent to be considered. For overseas equivalents please visit http://www.qmul.ac.uk/postgraduate/taught/funding_masters/index.html

Application Procedure

There is no need to complete a separate application form to be considered for any of the Mathematical Sciences Scholarships. Students will be considered for an award on the basis of the information they provide in their online application to Queen Mary University of London.Successful candidates will be informed of their award via email.

Further Information

http://www.maths.qmul.ac.uk/prospective-students/msc-mathematical-finance/fees-funding



Entry Requirements

The normal entry requirement for the MSc in Financial Computing is the equivalent of a British first or good second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, engineering, economics, or computer science. We will assess your suitability for the programme individually. Please be aware that the Admissions Tutor may require further information from you regarding your mathematical background. For further questions please contact us at .

Email Enquiry

Recipient: Queen Mary University of London

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