Overview
The Financial Technologies and AI course from Lancaster University is a unique programme that combines classical quantitative finance techniques with cutting-edge developments in financial technology and big data analysis, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting. Graduates can pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and FinTech firms.
This programme will help you build a deep understanding of financial markets and key financial instruments and their pricing techniques. You will learn how to develop and price new financial instruments and quantitatively assess their risks. You will gain expertise in modelling financial processes and will be able to apply this knowledge to empirical asset pricing and risk management.
Career opportunities:
MSc Financial Technologies and AI prepares you for diverse career paths across the global financial sector. Our alumni can target work in prestigious organisations, including:
- investment banks
- hedge funds
- asset management firms
- proprietary trading firms
- fintech companies
- consulting firms
- central banks
- sovereign wealth funds
- pension funds
- research institutes
- financial regulatory bodies
The roles our graduates can pursue include:
- quantitative analyst
- data scientist
- risk manager
- quantitative trader
- investment analyst
- portfolio manager
- algorithmic trading strategist
- financial engineer
- fintech developer
- machine learning engineer
- quantitative researcher
- model developer
- model validation specialist
- cryptocurrency analyst
- high-frequency trading developer
Graduates can also choose to continue into PhD programmes or establish their own fintech ventures.
Get more details
Visit programme websiteProgramme Structure
Courses include:
Asset Pricing and Investments
Big Data, Machine Learning and Financial Econometrics
Career Accelerator: Technical Toolkit and Professional Development
Data Analytics for Finance and Investments
Financial Technologies
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Lancaster, United Kingdom
Disciplines
Artificial Intelligence Financial Technology View 90 other Masters in Financial Technology in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
2:2 Hons degree (UK or equivalent) in Finance/Economics with strong quantitative components, or STEM (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines).
Students with other business, social and natural science related degrees are encouraged to apply, provided they can demonstrate strong quantitative skills.
We assess applicants based on their overall academic performance, typically putting more emphasis on strong results in quantitative modules. Relevant work experience and/or significant programming skills are also viewed favourably.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents30000 GBP / year≈ 30000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16270 GBP / year≈ 16270 GBP / year
Living costs
Lancaster
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Financial Technologies and AI.
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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