FIN 450 - FinTech II: Applied Data Science in Finance

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

Faculty of Business

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).

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B01
(75557)
Download syllabus
18
2025-01-06 - 2025-04-09 (W)
09:30 - 12:20

Fall Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE A01
(54914)
40
2025-09-02 - 2025-12-08 (W)
09:30 - 12:20

Winter Term 2026

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B01
(85051)
40
2026-01-05 - 2026-04-10 (W)
09:30 - 12:20