COURSE CURRICULUM

The Master of Financial Data Analytics (MFDA) program offers a comprehensive set of courses designed to equip students with both financial expertise and advanced data analytics skills. Core courses include Financial Management and Investment, providing foundational knowledge of managing financial resources and making informed investment decisions. Financial Econometrics and Financial Derivatives Securities delve into quantitative methods and complex financial instruments, essential for understanding market dynamics and pricing models. Financial Risk Management prepares students to identify, assess, and mitigate financial risks, a critical skill in today’s volatile markets. The program also emphasizes data-driven decision-making through Business Analytics, which teaches techniques for analyzing and interpreting business data to drive strategic choices. Programming and Data Processing courses develop students’ abilities to handle large datasets and automate financial analysis, while Artificial Intelligence Programming introduces AI techniques applicable to financial modeling and predictive analytics. Together, these courses blend finance, data science, and technology to prepare graduates for careers where they can leverage computational tools to solve complex financial problems, support risk management, and innovate within the financial industry. The curriculum’s balance of theory and practical application ensures students are well-prepared for the evolving demands of financial data analytics roles.