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  • DeadlineStudy Details:

    MSc Full-time: 1 year Part-time: 2 years

Course Description

September and February starts

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.

Entry Requirements

A minimum of a 2:2 in a relevant UK honours degree, or a recognised equivalent international qualification.

Your qualification should demonstrate basic knowledge and understanding in calculus, linear algebra, probability, and statistics. Specifically, you are suited to this course if your qualification has a reasonable level of mathematical contents in subjects such as mathematics, finance, economics, business, science, engineering, or computing.

You may also be considered for the course if you have other professional qualification or experience of equivalent standing.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

We’re committed to making sure that we offer support for students who might need it, please visit website to find out more about about our scholarships and bursaries.

Student Destinations

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.

As well as giving candidates valuable knowledge and skills that meet the needs of employers, our MSc also provides a solid foundation for research in data science or mathematics, or one of the many disciplines where these are applied. As a data scientist or machine learning engineer, you’ll be well positioned for a wide range of specialist roles.

Module Details

  • ADVANCED QUANTITATIVE METHODS IN ECONOMICS Optional 1
  • ARTIFICIAL INTELLIGENCE AND FINANCIAL INFORMATICS Compulsory 1
  • BAYESIAN INFERENCE FOR DATA SCIENCES Optional 1
  • CORPORATE FINANCE & PORTFOLIO MANAGEMENT Compulsory 1
  • FINANCIAL MARKETS AND DERIVATIVE PRICING Compulsory 1
  • FUNDAMENTALS OF BLOCKCHAIN Optional 1
  • DATA SCIENCE FOR DYNAMICAL SYSTEMS Compulsory 2
  • MACHINE LEARNING METHODS AND BIG DATA Optional 2
  • MATHEMATICS OF DATA SCIENCE Compulsory 2
  • PRINCIPLES OF DATA SCIENCE Compulsory 2
  • STATISTICAL METHODS WITH FINANCIAL APPLICATIONS Optional 2
  • DISSERTATION Compulsory Cross Year

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