At a Glance
FinTech is a continually growing industry in Scotland, with significant merging of finance and technology, but this also requires a varied skill set to succeed. The Financial Technology programme of the University of Aberdeen offers a rigorous introduction to Python, the dominant programming language in FinTech as well as machine learning and data science. The programme also highlights the inherent risks to the industry such as security breaches and the effects these can have on banks and other financial service providers.
This degree is open to people from any discipline and will provide students with an interdisciplinary learning experience in financial services and technology from experts in their respective fields.
The Business School is internationally recognised and plays a major role in industry through research, and consultancy. Not only will you acquire the business knowledge essential to success, you’ll also develop the crucial characteristics – such as strong communication and interpersonal skills, quantitative knowledge and technical skills – most sought after in the highly competitive global business environment.
The School of Natural & Computing Sciences has a long-standing reputation in Intelligent Systems, with world recognised expertise in areas such as multi-agent systems, natural language generation, knowledge graph and semantic web. The department of Computing Science was ranked 16th in the UK for research intensity (REF, 2014), and 70% of research publications were classified as "internationally leading" or "internationally excellent”.
By bringing together students from both financial and computing backgrounds, students will benefit from a richer experience, learning from their peers and gaining an in-depth understanding of both sectors and how they interconnect.
The MSc Financial Technology programme positions graduates for a variety of exciting FinTech career pathways with practical skills and expertise in mathematics, computer science, finance, and economics.
This programme provides you with the technical and analytical skills needed to successfully adapt to wide-range of situations in the ever-changing world of computing and finance. Some become software developers, business analysts, consultants, data scientists, or follow other roles.
- Database Systems and Big Data
- Discrete Time Models
- Continuous Time Models
- Advances in Machine Learning in Finance
- Applied Econometrics
- 12 months
- 24 months
Start dates & application deadlines
- Apply before , International
- Apply before , National
DisciplinesFinance Accounting Econometrics View 867 other Masters in Finance in United Kingdom
- This programme is open to graduates from any discipline and does not require computing or finance study to be completed at undergraduate level
- Our minimum entry requirement for this programme is a degree at 2:2 (lower second class) UK Honours level (or a degree from a non-UK institution which is judged by the University to be of equivalent worth)
- English Language Requirements
- A full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
- Personal Statement
International25100 GBP/yearTuition FeeBased on the tuition of 25100 GBP per year during 12 months.
National15200 GBP/yearTuition FeeBased on the tuition of 15200 GBP per year during 12 months.
Living costs for Aberdeen
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.