COURSE CURRICULUM

The BSc in Data Sciences and Analytics with a focus on Financial Analytics offers a comprehensive four-year curriculum that merges computer science, finance, mathematics, and business intelligence. In Year 1, students build foundational skills through courses such as Financial Accounting, Introduction to Computer Science, Microeconomics, Data Analysis and Business Modelling, Linear Algebra, Calculus, and Practical Statistics. Year 2 deepens this foundation with courses in Corporate Finance, Management of Information Systems, Database Design, Organizational Behaviour, Operations Management, and electives including Financial Mathematics and Marketing. In Year 3, the focus shifts to advanced analytics and financial theory with courses like Programming for Big Data, Data Visualization, Statistical Computing with R, Business Econometrics, Financial Theory, and Business Analytics. Students can further specialize through electives in areas such as Project Management, Optimization, and Systems Analysis. In the final year, students complete a Capstone Project (DASA 4F01), alongside advanced courses in Investment Analysis, Portfolio Management, Derivatives, and Advanced Business Analytics. Specialized electives allow for deeper exploration of Artificial Intelligence, Financial Modeling, Game Theory, and Computational Statistics. This rigorous and interdisciplinary program equips graduates with strong technical, analytical, and financial skills to solve complex, data-driven challenges in financial services, fintech, consulting, and analytics-focused industries.