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
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity. Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Algorithmic Data Science
- Financial Computing with MATLAB
- Financial Mathematics
- Financial Portfolio Analysis
- Machine Learning
- Mathematical Models in Finance and Industry
- Summer teaching
- Dissertation Financial Data Analytics
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Fees are not yet set for the academic year 2023/24 – check back from September 2022. Note that your fees, once they’re set, may be subject to an increase on an annual basis.
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 2023/24.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH