Financial Data Science

The Financial Data Science program offered at University of Surrey is 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.

Career opportunities

• 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.Both data science and mathematics are of paramount importance to all aspects of science, technology and – particularly – modern finance. The logical insights, analytical skills and intellectual discipline gained from this course are highly sought after in each of these areas, as well as in a broad range of other disciplines such as law, business, management, e-commerce and the creative arts.The University of Surrey has an excellent record for graduate employability.  94 per cent of our mathematics postgraduate students go on to employment or further study (Graduate Outcomes 2024, HESA).

Courses include:

• Artificial Intelligence And Financial Informatics

• Financial Markets And Derivative Pricing

• Derivatives Markets

• Principles Of Data Science

• Mathematics Of Data Science

• Data Driven Methods