12 monthsProgramme duration
23,500 GBPTuition Fee/year
01 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission 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.
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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International
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