Financial Analytics
Overview
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.
This degree will equip you with the cutting-edge quantitative and computational techniques utilised by leading finance and FinTech firms.
It will prepare you for a career in quantitative finance, trading, portfolio management, data analytics or risk management. You’ll learn how data science, business analytics, programming and statistical tools are used in the real world for the analysis and modelling of complex financial data.
Subjects taught
Year 1
Core Modules
• Computational Methods in Finance (15 credits)
• Dissertation- MSc Financial Analytics (60 credits)
• Advanced Analytics & Machine Learning (15 credits)
• Applied Research Project (60 credits)
• Advanced Financial Data Analytics (15 credits)
• Financial Data Analytics (15 credits)
• AI & Trading (15 credits)
• Data Management (15 credits)
• Asset Pricing (15 credits)
Optional Modules
• Market Microstructure (15 credits)
• Corporate Finance (15 credits)
Entry requirements
Graduate
Normally a 2.1 Honours degree 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 or equivalent qualification acceptable to the University and sufficient relevant experience will be considered on a case-by-case basis.
Application dates
Applicants are advised to apply as early as possible and ideally no later than 16th August 2024 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal. Notifications to this effect will appear on the Direct Application Portal against the programme application page.
How to Apply
Apply using our online Postgraduate Applications Portal and follow the step-by-step instructions on how to apply.
Duration
1 year (Full Time)
Enrolment dates
Entry Year: 2024/25
Post Course Info
Career Prospects
Introduction
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.
Typical roles include data scientists, financial engineers, software developers, equity analysts, consultants, portfolio analysts, data scientists, risk analysts, software developers, business analysts, and traders.