University of Surrey · Full-time
Financial Data Science
Why choose this course Data science has become essential in managing many day-to-day aspects of financial markets over the past two decades. Using data sets, banks and financial institutions can unravel all kinds of facts, trends, anomalies and patterns – but…
MSc1 yearFull-time
Browse business and management courses in UK
FEPS - Faculty of Engineering and Physical Sciences · Business and management
Why choose this course Data science has become essential in managing many day-to-day aspects of financial markets over the past two decades. Using data sets, banks and financial institutions can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills and understanding. Our cutting-edge course combines artificial intelligence (AI), data science, financial modelling and economic theory, and grounds you in the latest thinking in this area. Taught by expert staff and supported by industrial advisers from financial City institutions, and studying in Guildford – within easy reach of London’s financial hub – the course will greatly enhance your employability in financial and related areas. What you will study Our Financial Data Science MSc is a comprehensive course which covers the fundamentals of financial markets, modelling, and applying AI for market analysis. You’ll learn how to implement cutting-edge data science methods and develop a solid understanding of the mathematical foundations of machine learning tools. You’ll also dive into the dynamics of financial markets – exploring asset pricing, risk management and portfolio theory. You will master advanced modelling techniques and quantitative methods to analyse real-world financial data, and you’ll discover the transformative power of AI and machine learning in deciphering market behaviours and making data-driven predictions. Through practical hands-on exercises and projects, you’ll gain the skills to apply these techniques effectively, enabling you to excel in this evolving and exciting field. The MSc benefits from the wide range of mathematics research at Surrey. These inform the taught modules you will study and the topic of your extended research project.
Getting in
As the university states it
A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.