FIN 450 - FinTech II: Applied Data Science in Finance

3 units (fi 6)(EITHER, 3-0-0)

This course provides data science skills that are needed to implement financial concepts and theories. Topics covered include data wrangling, visualization, web scraping, machine learning, and natural language processing. Students gain an ability to draw informed insights from data for identifying business's needs, and to articulate solutions with effective visualization supporting business communication and discussions. Prerequisite: FIN 312 (Credit in FIN 449 is recommended).

FIN 451 - FinTech III: Enterprise-level Data Science

3 units (fi 6)(EITHER, 3-0-0)

Data science expertise is increasingly sought after in the Finance industry, requiring a vast range of skills spanning many disciplines. The core objectives of this class are to: build Data Science tools necessary for operating in Finance at Enterprise level (Business Concepts and Theories / Teamwork), become able to confidently navigate all entrepreneurial activities from identifying market needs to creating business solutions (Entrepreneurial Thinking / Business Concepts and Theories / Teamwork) and learn how to communicate complex ideas with modern visualization techniques (Business Communication / Teamwork). Prerequisite: FIN 450.

FIN 488 - Selected Topics in Finance

3 units (fi 6)(EITHER, 3-0-0)

Normally restricted to third- and fourth-year Business students. Prerequisites: FIN 301 or consent of Department. Additional prerequisites may be required.

FIN 495 - Individual Research Project I

3 units (fi 6)(EITHER, 3-0-0)

Special study for advanced undergraduates. Prerequisites: consent of Instructor and Assistant Dean, Undergraduate Program.