Course summary
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.
Modules
Please check our website in January 2024 for the modules running in the academic year 2024/25.
Entry requirements
Degree requirements You should have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements 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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional 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 2024/25.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH