Overview
The Advanced Technology for Financial Computing MSc programme from The University of Edinburgh will 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.
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% 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.
Career opportunities
Graduates secure exciting roles such as quant developer, tech specialist, financial modelling expert, fintech manager, and wealth management analyst, and end up working at world-leading financial institutions including UBS, NatWest Bank, Financial Network Analytics Ltd, Central Bank of Indonesia, and Huatai Securities. Career paths tailored to youPersonalise your studies with the help of our curriculum paths, engineered by experts to prepare you for specific careers, including:
Financial Computing Engineer: Ideal for those who aim to develop and optimise high-performance computing systems for the finance sector. This path focuses on leveraging advanced computational techniques to enhance system performance and efficiency, preparing you to tackle complex challenges in financial technology.
Fintech Strategist: Perfect for those eager to drive digital transformation within the financial sector. This path combines technical expertise with strategic vision, empowering you to lead innovative initiatives and shape the future of financial technology.
Quant Developer: For those with a strong programming background looking to excel in quantitative finance. This path merges advanced programming skills with specialised financial computing knowledge, positioning you at the forefront of fintech development.
Programme Structure
Courses include:
Data-driven Business and Behaviour Analytics
Informatics Research Review
Digital Innovation Management
Technology Entrepreneurship and Commercialisation
Design and Analysis of Parallel Algorithms
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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We encourage you to apply at least one month prior to entry so that we have enough time to process your application.
Language
Credits
Delivered
Disciplines
Web Technologies & Cloud Computing Financial Technology View 115 other Masters in Web Technologies & Cloud Computing in United KingdomWhat students do after studying
Academic requirements
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The University of Edinburgh and/or in United Kingdom, please visit Student Insurance Portal.
Other requirements
General requirements
- 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 must have completed the equivalent of 60 SCQF credits or 30 ECTS credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
Tuition Fee
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International
43300 GBP/yearTuition FeeBased on the tuition of 43300 GBP per year during 12 months. -
National
17100 GBP/yearTuition FeeBased on the tuition of 17100 GBP per year during 12 months.
Living costs for Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Advanced Technology for Financial Computing.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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