Taught course

Financial Computing

Institution
Queen Mary, University of London · Mathematical Sciences
Qualifications
MSc

Entry requirements

The majority of our applicants will have an undergraduate degree with first class or upper second class honours (or international equivalent). Offers will typically be made at 2.1 level (upper second class) or equivalent. Students with a good lower second class degree may be considered on an individual basis. In some cases your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes.

Students applying to this programme should have studied a subject with a substantial mathematical component at the undergraduate level. We welcome those from a variety of relevant disciplines, including mathematics, statistics, physics, engineering, economics and computer science.

Months of entry

September

Course content

“Financial Computing is an exciting area to work in – there are lots of opportunities to develop skills which are desirable to the industry, like programming and mathematical modelling” Mincai Hu, MSc Financial Computing. Now working as a Quantitative Researcher in Shanghai

Financial institutions rely on a blend of mathematics, technology and finance to develop, enhance and sustain their competitive edge.

This unique programme is delivered jointly with the School of Electronic Engineering and Computer Science, and allows numerate graduates to develop the skills and knowledge needed for a professional career in the profitable and intellectually challenging intersection of mathematics, finance and technology.

Due to new electronic trading platforms, improved risk management and pricing accuracy, as well as the high-performance computing implications of enhanced regulatory requirements, the financial industry is undergoing a second wave of technological transformation. As a result, there is a high demand from investment banks, hedge funds, financial software companies, brokerage and consultancy firms, and other businesses for graduates who have both excellent mathematical, financial and computing skills.

The Financial Computing MSc is for science and engineering graduates with mathematical and computer programming experience.

Structure

You will study in recently refurbished MSc student offices with state-of-the-art computers, learning a range of topics including big data, machine learning and financial programming.

During your studies you will have the opportunity to undertake professional certifications, including Microsoft Excel Specialist Certification and SAS.

Modules include:

• Advanced Computing in Finance

• Artificial Intelligence

• Advanced Machine Learning

• Advanced Object-oriented Programming

• Cloud Computing

• Distributed Systems

• Financial Computing Dissertation

• Financial Data Analytics

• Financial Instruments and Markets

• Foundations of Mathematical Modelling in Finance

• Functional Programming

• Programming in C++ for Finance

• Trading and Risk Systems Development

Please note that module offerings may be subject to change.

For the latest information go to: qmul.ac.uk/msc-fin-comp

Fees and funding

qmul.ac.uk/scholarships

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
School of Mathematical Sciences
Email
maths@qmul.ac.uk
Phone
+44 (0)20 7882 5440