COURSE CURRICULUM

The postgraduate program in finance and technology offers a comprehensive suite of modules designed to equip students with advanced knowledge and practical skills in the rapidly evolving fields of fintech and data analytics. "Artificial Intelligence in FinTech" provides foundational knowledge in both fintech and AI, focusing on machine learning techniques, data structures, and their applications in areas like asset pricing, fraud detection, and market sentiment analysis. It also introduces multi-threaded programming using Python and MATLAB. "Big Data Analytics using Python" is focused on developing specialized data analytics skills, teaching students how to apply machine learning algorithms to financial data problems. Students will learn to handle large datasets, clean and manipulate data, and visualize results using Python, enabling them to uncover patterns and trends in financial environments. "Data Analysis and Research Methods" equips students with essential econometric and statistical techniques, preparing them to undertake independent research in financial and economic analysis. The module emphasizes hypothesis testing, estimation, and the application of these methods to global financial data, helping students formulate research objectives and select appropriate methodologies. "Corporate Finance and Risk Management" covers the complexities of global corporate finance, including asset pricing, capital structure, and risk management in various environments. The module integrates finance, accounting, and economics to explore dynamic financial and regulatory challenges. "Governance, Ethics, and Sustainability" offers insights into the ethical, social, and environmental considerations shaping financial decision-making, using the United Nations’ Sustainable Development Goals as a framework. Finally, the "Postgraduate Project" allows students to apply their learning to a substantial research project, guided by a dedicated supervisor, fostering independent and ethical research capabilities. These modules provide a rigorous foundation in both theory and practice, preparing graduates for leadership roles in the finance and fintech sectors.