Hi there, I'm Luna.
I'm a bit like an AI, except instead of making pictures of people with 16 fingers, I can help you find the perfect course and uni.
Would you like some help in your search?
Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?
MSc - Master of Science
Main Campus
Full Time
SEP-26
1 Year
Select a course option
MSc - Master of Science
Main Campus
Full Time
SEP-26
1 Year
Select a an exam type
A pioneering programme designed to make you one of tomorrow’s tech leaders in the financial services sector. You will master cutting-edge technology in data, computing, and AI, and enhance it with business acumen to drive innovation in financial systems. Prepare for an exciting future where you lead as a fintech strategist, quant developer, or financial computing engineer in the dynamic and rapidly evolving Fintech industry. Unique to this programme is the opportunity to gain a holistic perspective by integrating courses from three distinguished University of Edinburgh schools-Informatics, Business, and Mathematics-offering a comprehensive and interdisciplinary approach that sets you apart in the fintech industry. Five reasons to choose this programme: Comprehensive multi-disciplinary approach: Experience a unique programme that combines courses from three world-class academic schools - Informatics, Business, and Mathematics. This integration provides you with a broad understanding and a diverse skill set, preparing you to stand out and lead in the global fintech industry. Career success: Our outstanding reputation, 4th in the UK*, and exceptional career support, allow 97.6 Percentage of our students* to secure jobs or go on to further study. World-class reputation: Learn from top researchers and educators. The University of Edinburgh consistently ranks top 30 globally for Computer Science and the School of Informatics is first in the UK for research impact and quantity of world-leading research
. Comprehensive and flexible curriculum: Learn across three Schools to blend advanced tech courses with essential business skills in a one-year programme that mixes theory and practice. Prime location: Study in vibrant, international Edinburgh, the UK’s second-largest financial hub and Europe’s emerging data capital. *QS Ranking for employability in Data Science and AI 2024HE Graduate Outcomes Data, School of Informatics Postgraduates 2021-22 Research Excellence Framework Results
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, physics, or other numerate degree.
Competence in programming is essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.
During your degree you should have completed the equivalent of 60 SCQF credits or 30 ECTS credits in Mathematics. This must have covered the following subjects/topics: Calculus (differentiation and integration), Linear Algebra (vectors and multi-dimensional matrices), and either Probability or Statistics. (Revised 13 March 2025 to clarify and correct the Mathematics requirements.)
Students living in
Domestic
£17,100 per year
Students from Domestic
Standard single room - 9950 per year
£17,100 per year
Students from England
Standard single room - 9950 per year
£17,100 per year
Students from Wales
Standard single room - 9950 per year
£17,100 per year
Students from Northern Ireland
Standard single room - 9950 per year
£43,300 per year
Students from EU
Standard single room - 9950 per year
£43,300 per year
Students from International
Standard single room - 9950 per year
Check out our
Edinburgh city guide
