Study Details:
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.
During your master's programme, you will take six core modules, which are described in more detail in the course structure:
You will also choose two from the three following optional modules:
In the third term, you will work on your master's dissertation, which is an independent research project, with guidance from your academic supervisor. You will continue to work on your dissertation throughout the remainder of the summer and submit it in September at the end of the master's programme.
2:1 Hons degree (UK or equivalent) in Finance, Economics, or science-related discipline (e.g. Mathematics, Engineering, Physics, Computer Science). Applicants from other business-related degrees with a significant number of quantitative modules studied are also encouraged to apply.
We may also consider non-standard applicants; please contact us for information.
If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
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