MSc Financial Analytics

Postgraduate

MSc Financial Analytics

Entry year: 2026/27

Entry requirements: 2.2

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

Graduates

Normally a strong 2.2 Honours degree (with minimum of 55%) or equivalent 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 2.2 Honours 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 acceptable to the University is required. Taken within the last 2 years.

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

Due to high demand, there is a deadline for applications
This condition of offer is in addition to any academic or English language requirements