MSc Financial Analytics
- Entry year
- 2026/27
- Entry requirements
- Bachelor degree (see further details below)
- Duration
- 1 year (Full-time)
- Places available
- Open
Overview
The MSc Financial Analytics is the programme for you if you have an interest in financial markets or financial technology (FinTech) and enjoy working with data. It shows you how data science, analytics, statistics and programming tools are used in the real world for the analysis and modelling of financial and economic data.
The programme will equip students with cutting-edge quantitative and computational techniques utilised by industry leading firms. The course aims to bridge the gap between complex quantitative models and financial decision making and does so by equipping students with dual skillsets in both finance and data analysis. It can lead to exciting careers in areas such as financial data science, trading, software development, portfolio management, consulting, data analytics, risk management, business analytics and academia.
Course content
MSc Financial Analytics students will study the following modules:
- Asset Pricing
- Financial Market Structure
- Financial Data Analytics
- Data Management
- Advanced Financial Data Analytics
- Financial Modelling in Python
- AI & Trading
- Advanced Analytics & Machine Learning
- ARP or Dissertation
This programme equips students with cutting-edge quantitative and computational analytical skills demanded by leading firms worldwide. It prepares you for future careers in quantitative finance, trading, general finance, FinTech, and business consulting environments.
Many modules emphasise learning through simulation, ensuring you gain practical, hands-on experience and the ability to apply theoretical knowledge to real-world financial decision-making scenarios.
Entry Requirements
Academic Requirements
This course is delivered at our GIFT City campus, India, and is open to those who hold Indian citizenship.
Normally a Bachelor degree awarded by a recognised Indian institution with a final average of 55%-57% or above (comparable to UK 2.2 Honours degree with 55% standard) or equivalent acceptable qualification in Finance, Mathematics, Economics, or another relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. Performance in relevant modules must be of the required standard.
Applicants with a Bachelor degree (scoring below 55%) or equivalent qualification and sufficient relevant experience will be considered on a case-by-case basis.
English Language Requirements
Evidence of an IELTS score of 6.5, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
Accepted English Language Requirements
English in the Indian Standard XII may be accepted (CBSE/CICSE/Karnataka/Maharashtra/Tamil Nadu/West Bengal boards) with a score of 70% taken within 7 years of the expected course start date.
An official Digilocker verification document will be required. Please provide your Admit Card ID number to the University.
Careers
Employability
Typical roles include data scientists, financial engineers, software developers, equity analysts, consultants, portfolio analysts, risk analysts, and business analysts.
Graduate Outcomes
Graduates of this programme will be well placed to pursue roles in major Indian and international finance and technology hubs, including Mumbai, Bengaluru, and the Gift City ecosystem. Opportunities may also exist with multinational employers operating in the region.
Fees & Funding
Tuition Fees
£15,000
Tuition fees relate to a single year of study and may be subject to annual inflationary increases.
Scholarships
£2,000 GBP scholarship available for 2026 entry.
How to apply
Apply using the online application portal and follow the step-by-step instructions.
Terms and Conditions
- To apply to study at our GIFT City Campus, you must hold Indian citizenship.
- Due to high demand, there is a deadline for applications
- This condition of offer is in addition to any academic or English language requirements