
Full-time 1 Year
Sep 2026
OFFER RESPONSE
10 Days
APPLICATION FEE
29 GBP
Fees Waived OffBACKLOGS
10 backlogs accepted
POST STUDY WORK
1.5-3 Years
TUITION
20550 GBP/
PER YEAR
LIVING/ PER YEAR
15000 GBP/
PER YEAR
DURATION
1 Year
INTAKE
Sept 2026/
Deadline:19 Aug 2026
COURSE CURRICULUM
This MSc Fintech and Finance course is structured to equip students with a robust understanding of financial theory, digital innovation, and practical application of machine learning and emerging financial technologies. Central to the course is the Machine Learning in Fintech module, which introduces key Python programming skills and the application of both supervised and unsupervised machine learning models such as regression, support vector machines, and neural networks in fintech scenarios like risk analysis and quantitative investing. This technical foundation is complemented by the Introduction to Cryptoassets and Fintech Exchanges modules, where students explore the mechanics, volatility, and regulatory environment of cryptoassets, including cryptocurrencies, NFTs, and Central Bank Digital Currencies. They critically assess crypto trading strategies, DeFi smart contracts, and the broader implications of blockchain on finance.The Principles of Finance module lays the groundwork for understanding financial management, corporate governance, and the valuation of securities. Alongside this, Fintech Banking develops awareness of how emerging technologies are reshaping traditional banking, including the regulatory challenges and innovation opportunities presented by fintech practices. Throughout the course, students strengthen their academic skills via modules like Academic English for Postgraduates (Business) and Foundations of Scholarship, which support the development of writing, statistical analysis, and academic communication. Research Methods further reinforces data analysis capabilities and prepares students for their final project.The Fintech Final Project acts as a capstone, encouraging students to tackle a real-world problem in fintech by analysing a product or service and proposing an innovative solution, with the option to collaborate with entrepreneurial support teams for commercial development. This combination of theoretical grounding, technical proficiency, regulatory insight, and entrepreneurial application ensures graduates are well-prepared to contribute to or lead in the fast-evolving financial technology sector.
Mode of Study
Full-time
Job Rate
94%
Course Entry Requirements
Review the entry and language criteria.
Choose your language proficiency test
* No IELTS, no TOEFL - this united kingdom college doesn’t require an English test.
Scholarship Details
Details depend on the scholarships and study programs selected
*All students are eligible for scholarships ranging from Up to 3500, based on program and criteria.
AVG STARTING SALARY
₹47L
for MSc Data Science at University of Edinburgh
PLACEMENT RATE
91%
across top 6 programs
Top recruiting companies
Meta
JP Morgan
Amazon
Microsoft
Stripe
Atlassian
Deloitte
Expected Annual Salary
Years to Payback
0.9 YEARS
Total Tuition Fees (1 Year)
£20,550
Total Living Costs
£15,000
Total Investment
£35,550
Years to Payback
0.9 YEARS
We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.
Ready to take the next step?
Our counsellors review every application before it goes to the university.
Locate Us:
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Call Us
+91 85519-85519
General Enquiries
support@edvia.ai
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