COURSE CURRICULUM

The Artificial Intelligence and Financial Analytics program at Trent University offers a comprehensive and interdisciplinary curriculum designed to build strong foundations in both AI technologies and financial systems. The program begins with core introductory courses such as AIST-COIS 1000H (Introduction to Artificial Intelligence) and AIST-COIS 1400H (Introduction to Data Science), which provide essential knowledge in AI concepts and data analysis. Students then advance to statistical and analytical training through AIST-MATH 2000H and 2010H, focusing on statistical learning techniques. The curriculum also explores specialized areas including machine learning (AIST-COIS 3550H), natural language processing (AIST-COIS 3570H), and the philosophical and communication aspects of AI through interdisciplinary courses like AIST-COIS-PHIL 3270H and AIST-COMM 3004H. Business and applied perspectives are integrated with courses such as AIST-ADMN 4430H and AIST-COIS 4851H, which examine AI applications in business and information systems. On the financial side, students study core economic principles through ECON 1010H and 1020H, followed by more advanced topics like financial economics, options and futures, and portfolio and risk management. Overall, the program blends technical, analytical, and financial knowledge, preparing students for careers in AI-driven finance, fintech, and data analytics.