Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 Year Full-time
The MSc Financial Analytics is the programme for you if you have an interest in financial markets or financial technology (FinTech) and enjoy working with data. It shows you how data science, analytics, statistics and programming tools are used in the real world for the analysis and modelling of financial and economic data.
The programme will equip students with cutting-edge quantitative and computational techniques utilised by industry leading firms. The course aims to bridge the gap between complex quantitative models and financial decision making and does so by equipping students with dual skillsets in both finance and data analysis.
It can lead to exciting careers in areas such as financial data science, trading, software development, portfolio management, consulting, data analytics, risk management, business analytics and academia.
Normally a strong 2.2 Honours degree (with minimum of 55%) or equivalent qualification acceptable to the University in Finance, Mathematics, Economics or other relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. Performance in relevant modules must be of the required standard. Applicants with a 2.2 Honours degree (scoring below 55%) or equivalent qualification acceptable to the University and sufficient relevant experience will be considered on a case-by-case basis.
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This programme will equip students with cutting-edge quantitative and computational techniques and strategies used by leading finance and financial technology (FinTech) firms. Today, all full-service finance and business consulting firms employ Financial Analytics professionals in their operations as do many boutique firms, such as asset managers and hedge funds. Furthermore, many IT software organisations are attracted to graduates from this programme due to their specialism at the interface between computing, data analytics and finance.
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