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MSc - Master of Science
Main Campus
Full Time
SEP-26
1 Year
Select a course option
MSc - Master of Science
Main Campus
Full Time
APR
1 Year
MSc - Master of Science
Main Campus
Full Time
SEP-26
1 Year
Select a an exam type
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.
If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.
You will develop quantitative trading skills, employing sophisticated strategies that leverage the power of data and technology. You will master financial and quantitative risk management tools, learning to identify, analyse, and manage risks. You will learn to conduct rigorous simulation analyses and stress tests, ensuring resilience and strategic foresight in decision-making. You will also discover pioneering methods to predict financial and economic trends using AI-driven tools and techniques.
Through this programme, you will become proficient in the technical skills required to excel in financial technology areas while developing an inquisitive mindset that thrives on innovation and research. While at Lancaster, you will benefit from our sector-leading specialist Finance career coach.
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.
Students living in
Domestic
£16,270 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£30,000 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£30,000 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.