Master of Financial Computing - MSc

Financial institutions rely on a combination of statistics, technology and finance to expand and strengthen their competitive edge. Focus on technology and financial mathematics and deal with growing industry challenges such as machine learning and big data operations. The MSc is jointly run by the School of Mathematical Science and the School of Visual Engineering and Computer Science. You will study the range of modules provided by the School of Mathematical Sciences and the School of Electrical and Computer Science. Your mathematical modules will provide a solid understanding of the financial principles of mathematics, while the modules provided within the School of Electrical and Computer Science will focus on key aspects of technology.

For your dissertation you will select a standard research topic from a financial computer to evaluate it independently. You will criticize the results in the latest magazine articles and you may not use a quality code. If you would like to gain practical experience, you can make a Comprehensive MSc Finance Component with Industrial Performance Information. There is a growing demand for high-tech and technologically advanced students from a variety of top employers including investment banks, hedge funds, financial software companies, trading and venture capital firms and consulting firms. You will be able to take on mathematical roles in large organizations, including: Computer Science, Financial Analyst, Data and Risk Technology, Risk Model Validation, Data Scientist, Financial Analyst, Risk Analyst, Portfolio Analyst, Risk Model Analyst, Software Developer and Technical Analyst.