Overview
Through the Data Science (FinTech) course from University of Greenwich you will gain a solid grounding in Data Science coupled with a concrete introduction to Financial Technology, arming you with the knowledge vital for employment in the FinTech space, where expertise in Data Science and AI is in extremely high demand.
Data Science and AI are at the core of modern Finance, with Financial Technology being its driving force. There is a growing, uninterrupted demand for specialists with the technical and practical skills to design, architect, and engineer systems and models for use in areas including Investment Analysis, Algorithmic Trading, Risk Management, Decentralised Payment Systems, Fraud Detection, and Anti-Money Laundering, to name a few. Skills in Blockchain Design are furthermore critical with the growth in Stablecoin and Central Bank Digital Currency technologies.
Career opportunities:
Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern financial technologies and artificial intelligence systems.
The Employability and Careers services provides support and help the students to achieve their potential and support their transition towards a rewarding graduate career, including CV clinics, mock interviews, and employability skills workshops.
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Visit programme websiteProgramme Structure
Courses include:
MSc Project
Big Data
Data Visualisation
Blockchain for FinTech Applications
Technologies for Anti-Money Laundering and Financial Crime
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Blackheath, United Kingdom
Disciplines
Data Science & Big Data Financial Technology View 92 other Masters in Financial Technology in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject
- Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents19450 GBP / year≈ 19450 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11800 GBP / year≈ 11800 GBP / year
Additional Details
Part-time
- UK: £1,967 per 30 credits
- International: £3,242 per 30 credits
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (FinTech).
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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