
Full-time 1 Year
Sep 2027
OFFER RESPONSE
10 Days
APPLICATION FEE
0 GBP
Fees Waived OffBACKLOGS
2 backlogs accepted
POST STUDY WORK
1.5-3 Years
TUITION
30450 GBP/
PER YEAR
LIVING/ PER YEAR
15000 GBP/
PER YEAR
DURATION
1 Year
INTAKE
Sept 2027/
Deadline:01 Aug 2027
COURSE CURRICULUM
The MSc in Finance with a specialisation in Financial Technology offers a rigorous academic and practical foundation through a well-structured curriculum that integrates finance theory, quantitative methods, and advanced technological applications. The core modules equip students with essential knowledge and skills across six key areas. AI Application in Finance and Big Data Analytics for Finance introduce students to machine learning techniques and data analysis tools used in the financial sector, developing their capacity to extract insights and drive innovation. Investment Management and Corporate Finance provide strategic and operational perspectives on asset allocation, risk management, and financial decision-making. Quantitative Methods in Finance focuses on the mathematical and statistical skills needed to analyse financial data, laying the groundwork for advanced modelling and research. The Research Dissertation is a major component of the program, allowing students to investigate a FinTech-related topic in depth, applying both theoretical knowledge and technical expertise to address real-world challenges.In addition to the core curriculum, students can personalise their learning through two optional modules. Market Structure and Electronic Trading examines how financial markets operate, with an emphasis on algorithmic trading and trading platforms. Financial Technology and Behaviour explores how digital innovation interacts with human decision-making in finance, offering valuable insights into behavioural finance in the digital age. Together, these optional modules deepen students’ understanding of the rapidly evolving financial landscape. The program’s structure, combining theoretical depth, technical application, and specialised electives, prepares graduates for careers in investment management, trading, financial consulting, or roles within FinTech startups and corporations. The combination of strong academic grounding and industry-relevant skills ensures that students are well positioned to adapt and succeed in a global financial environment increasingly shaped by technology.
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 10000, 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
1.0 YEARS
Total Tuition Fees (1 Year)
£30,450
Total Living Costs
£15,000
Total Investment
£45,450
Years to Payback
1.0 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:
Plot No - 269, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015
Call Us
+91 85519-85519
General Enquiries
support@edvia.ai
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