Course: RSM456H1 (Big Data and Marketing Analytics) in RSM department at University of Toronto.

Credit Hours: 24 • Academic Level: fourth-year undergraduate course

Course Requirements: Requires 4 prerequisite courses

Prerequisite Chain Depth: 5 levels of foundational courses required

Interdisciplinary Requirements: Prerequisites span 2 different departments

Course Type: Capstone or specialized course - synthesizes prior learning

Part of the RSM curriculum at University of Toronto, helping students progress through degree requirements.

Prerequisites for RSM456H1

Academic Planning at University of Toronto

Students planning RSM456H1 at University of Toronto should complete 4 prerequisites before enrollment.

Course Sequence: This course requires a 5-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

This fourth-year course at University of Toronto integrates into structured degree pathways for RSM programs, supporting timely graduation and academic progression.