You will learn how this deliver value in organisations with finance, risk and decision-making related digitalisation from both technology and business perspectives.
The move towards digital organisations offers great potential for small and large, public and private enterprises. Edinburgh is in the UK's second largest financial centre after London and is leading cutting-edge, data-driven innovation to become the data capital of Europe.
This Advanced Technology for Financial Computing programme from The University of Edinburgh is taught by world class researchers and educators. It is based on full-time cross-disciplinary study and has strong links to existing centres of research excellence within three world-class academic schools within the University:
- School of Informatics
- Edinburgh Business School
- School of Mathematics.
Graduates will be equipped with the strong technology knowledge and background to keep up with developments in computing technologies and business awareness.
Typical areas in which to pursue a career might include:
- quant developer
- financial system architect
- application engineer
- financial system consultant
- software developer
- data scientist (in academia or industry)
- financial system engineer in IT firms, banks, investment, or finance sectors
- government and public sector positions
- This MSc consists of approximately seven months of taught courses across two semesters and up to four months of project work. This leads to a dissertation focused on both academic and real-world industry challenges.
- It provides a unique blend of advanced technical courses, including finance-related sectors, and digital business skills with an emphasis on finance elements (minimum 30 credits) from Edinburgh Business School.
- The programme provides you with unique interdisciplinary training. Computing courses build your technical skills. Maths and finance related courses develop your ability to understand the finance system challenges associated with the development, implementation and exploitation of technical solutions.
- 12 months
Start dates & application deadlines
- Apply before
DisciplinesFinance Web Technologies & Cloud Computing Artificial Intelligence View 867 other Masters in Finance in United Kingdom
We are not aware of any academic requirements for this programme.
- 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 to 60 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.)
International35900 GBP/yearTuition FeeBased on the tuition of 35900 GBP for the full programme during 12 months.
National16200 GBP/yearTuition FeeBased on the tuition of 16200 GBP for the full programme 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.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.