Overview
In the Financial Data Analytics at Queen Mary University of London you’ll combine a strong foundation in financial theory with cutting-edge techniques, including machine learning, AI-driven forecasting, and computational methods using R and Python.
You’ll learn through a research-informed, practice-oriented approach using real financial datasets. The programme prepares you for careers in financial services, fintech, risk management, or further doctoral study.
Career paths
MSc Financial Data Analytics prepares you to pursue a wide range of careers across financial services, fintech, risk management and related sectors, as well as further doctoral study.
You’ll benefit from strong links with industry, including guest lectures, employer engagement, and input from advisory boards, giving you insight into current practice and career opportunities.
Throughout the programme, you’ll develop advanced technical skills in programming, data analytics, forecasting and machine learning. At the same time, you’ll strengthen key transferable skills such as critical thinking, communication, teamwork and leadership, ensuring you graduate ready to contribute confidently in a professional environment.
Programme Structure
Courses include:
- Mathematics and Statistics for Finance Professionals
- Digital and Real Asset Analytics
- Financial Instruments and Markets
- Storing, Manipulating and Visualising Data
- Forecasting with Al
- Machine Learning with Python
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Finance Data Analytics View 248 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- UK 1st class degree: GPA 3.7 out of 4.0
- UK 2:1 degree: GPA 3.2 out of 4.0
- UK 2:2 degree: GPA 2.5 out of 4.0
Tuition Fees
-
International Applies to you
Applies to youNon-residents35250 GBP / year≈ 35250 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents13250 GBP / year≈ 13250 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Financial Data Analytics.
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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