Advanced Technology for Financial Computing MSc
Study modes: Full-time
This programme will provide you with a critical and practical appreciation of how data, computing and artificial intelligence technologies can be used and developed. 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 programme 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
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.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
|MSc||Advanced Technology for Financial Computing||1 Year||Full-time||Programme structure 2022/23|
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
You will be based in the School of Informatics’ main teaching building, Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University's Central Area.
IT facilities include computer labs with more than 250 high-spec machines and comprehensive support provided by dedicated computing staff.
The Informatics Student Support Team is based within the Informatics Teaching Organisation in Appleton Tower.
Take a virtual tour
Take a closer look at all our facilities on the University’s Virtual Visit site:
These entry requirements are for the 2023/24 academic year and requirements for future academic years may differ. Entry requirements for the 2024/25 academic year will be published on 2 October 2023.
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.)
Students from China
This degree is Band B.
Check whether your international qualifications meet our general entry requirements:
English language requirements
You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 7.0 with at least 6.5 in each component.
- TOEFL-iBT (including Home Edition): total 100 with at least 23 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 185 with at least 176 in each component.
- Trinity ISE: ISE III with passes in all four components.
- PTE Academic: total 70 with at least 62 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.
Find out more about our language requirements:
If you receive an offer of admission you will need to pay a deposit to secure your place.
- £1,500 (this contributes towards your tuition fees)
Find out more about tuition fee deposits:
You will be responsible for covering living costs for the duration of your studies.
|MSc||Advanced Technology for Financial Computing||1 Year||Full-time||Tuition fees|
School of Informatics scholarships
Scholarships and student funding
You can find funding opportunities, tuition fees and costs of living for prospective UK and international postgraduate students on the University website.
You are also encouraged to undertake your own research into the range of potential scholarships and other funding outside the University for which you may be eligible.
Search for scholarships and funding opportunities:
Select your programme and preferred start date to begin your application.
MSc Advanced Technology for Financial Computing - 1 Year (Full-time)
|Programme start date||Application deadline|
|11 September 2023||31 March 2023|
Due to high demand on our programmes, the School of Informatics operates an application deadline of 31 March.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but will hold the majority of applications until the advertised deadline.
Decisions will be made as soon as possible once the deadline has passed. We expect to make the majority of decisions within eight weeks of the deadline.
The deadline may be extended if there are any places remaining on the programme.
|Programme start date||Application Deadline||Expected Decision date|
|12 September||31 March||31 May|
(Revised 10 November 2022 to clarify when decisions on applications will be made)