91探花

Artificial intelligence is reshaping the way financial institutions, businesses, and markets operate. From algorithmic trading and fraud detection to credit assessment, investment analytics, and automated decision-making, AI is increasingly becoming central to the future of finance. Yet organisations need professionals who can do more than understand AI or finance in isolation—they need people who can connect advanced computational methods with financial theory, data-driven decision-making, and the realities of business. The online M.Sc. in Artificial Intelligence and Finance (AIF) is designed to meet this need. The program brings together artificial intelligence, machine learning, data analytics, and financial knowledge to develop the capabilities required in a rapidly evolving digital economy. It combines technical depth with financial and managerial understanding, while giving particular attention to the responsible, ethical, and strategic use of AI in financial decision-making. The result is an interdisciplinary program that enables graduates to use intelligent technologies to understand complex financial problems, identify opportunities, and develop data-driven solutions.

The learning journey starts with foundations in artificial intelligence, programming, data analysis, financial markets, and quantitative methods. It then progresses to machine learning, predictive analytics, financial modelling and AI applications in finance, before exploring areas such as algorithmic trading, risk analytics, fintech, intelligent investment decision-making, natural language processing and emerging financial technologies. The program also examines the ethical, regulatory, and governance challenges associated with the use of AI in finance. Through applied learning and interdisciplinary problem-solving, graduates are prepared for roles across fintech, banking, financial analytics, investment management, risk management, consulting and technology-enabled financial services, as well as for further academic and professional development.

On completing the program, graduates will be able to:

• Apply advanced programming, statistical, time-series, machine learning, NLP, and generative AI techniques to analyse structured and unstructured data and address complex financial and business problems.
• Evaluate financial information, markets, instruments, investments, corporate financing, and risk within their macroeconomic and geopolitical context, using data-driven and AI-enabled approaches that integrate finance and emerging technologies.
• Design and apply analytical and computational models to support financial forecasting, investment and portfolio analysis, capital budgeting, risk management, robo-advisory, and other finance-related decision-making.
• Critically evaluate the opportunities, limitations, ethical implications, and risks of AI in finance, including transparency, bias, privacy, cybersecurity, accountability, and responsible innovation, within regulatory, governance, and sustainability frameworks.