Finance Analytics

Entry requirements

Undergraduate degree with high 2:1 honours (i.e. overall average of at least 65% across all years of study) required in a social or applied science (e.g. finance, economics, management, engineering, applied mathematics, computer science or other relevant subject) or equivalent overseas qualification. Our programme is most suitable if you have some quantitative background in either finance and/or economics or have a degree with some quantitative elements.

Months of entry

September

Course content

The world of finance is changing. With recent advances in technology, huge amounts of data are generated every second on a global scale. Finance professionals of the future will need to harness advanced technologies to process, analyse and ultimately extract key insights to tackle the challenges facing the industry.

With a focus on big data analytics, our Finance Analytics MSc is designed to provide you with rigorous applied training in quantitative and empirical methods in Finance.

This course is suited to individuals with strong quantitative backgrounds who desire the skills & expertise needed for a range of highly skilled technical professions in finance. You’ll study topics at the cutting edge of the finance industry such as data visualisation, big data, FinTech and robo-trading.