Taught course

Financial Data Analytics

University of Sussex · School of Mathematical and Physical Sciences

Entry requirements

You should have an upper second-class (2.1) undergraduate honours degree or above.

Your qualification should have a mathematics content, demonstrating knowledge in calculus, probability and statistics. You are suited to this course if your qualification is in mathematics, finance, economics, business, science, engineering or computing. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Months of entry


Course content

The financial industry is in a period of change. Information is available in more detail than ever before. This creates a need for quantitative analysts with a profound understanding of financial principles, along with data science and mathematics skills.

This MSc introduces you to the dynamic world of quantitative finance, the revolutionary ideas of data analytics and the rigorous elegance of mathematics. During your studies, you’ll:

  • gain the practical skills to solve real-world problems

  • feel at home in the communities of quantitative analysts, mathematicians and computer scientists

  • learn about the leading principles of quantitative finance, the foundations of data science and machine learning, and methods of computer programming.

When you graduate, you’ll be proficient in analytic thinking and systematic reasoning. You’ll have excellent research skills and will be able to communicate complex ideas. With your knowledge and expertise, you’ll be well prepared for jobs in a wide range of professions.

Fees and funding

UK students
International students

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Course Enquiries