Studyportals

Financial Computing

Queen Mary University of London

M.Sc.
12 months
Duration
23950 GBP/year
19850 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Financial Computing programme offered at Queen Mary University of London provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Overview

Overview

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing 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.

Financial Computing programme offered at Queen Mary University of London is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Graduate employment

The MSc in the Financial Computing programme will prepare students for a wide range of careers, especially in the banking and finance sector, consultancy, industry and commerce. The computing skills acquired throughout the programme are highly valued in the financial sector.

Programme Structure

Courses include:
  • Introduction to Object-Oriented Programming
  • Foundations of Mathematical Modelling in Finance
  • Topics in Scientific Computing
  • Functional Programming
  • Big Data Processing
  • Machine Learning
  • Financial Programming
  • Advanced Computing in Finance
  • Advanced Object-Oriented Programming
  • Parallel Computing
  • Portfolio Theory and Risk Management
  • Stochastic Calculus and Black Scholes Theory

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
79
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6

Other requirements

General 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.

Tuition Fee

  • International

    23950 GBP/year
    Tuition Fee
    Based on the original amount of 23950 GBP per year and a duration of 12 months.
  • EU/EEA

    19850 GBP/year
    Tuition Fee
    Based on the original amount of 19850 GBP per year and a duration of 12 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Financial Computing
-
Queen Mary University of London

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