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Financial Data Analytics at University of Sussex - UCAS

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2025 - 2026
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Course summary

About the course 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.

Modules

Please check our website in January 2025 for the modules running in the academic year 2025/26.

Entry requirements

You should have a lower second-class (2.2) undergraduate honours degree or above. Your qualification should show evidence of your ability in mathematics or quantitative-related areas. You are ideally suited to this course if you have a degree such as mathematics, finance, economics, statistics, engineering, information technology, computing, science. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please click on the course URL to see up-to-date fee information.

Sponsorship information

Our goal is to ensure that every student who wants to study with us is able to regardless of financial barriers, so that we continue to attract talented and unique people. Details of our scholarships are not yet set for entry in the academic year 2025/26.

Financial Data Analytics at University of Sussex - UCAS