DSCI220 - Discrete Mathematics for Data Science
Course: DSCI220 (Discrete Mathematics for Data Science) in DSCI department at University of British Columbia.
Credit Hours: 0 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 6 levels of foundational courses required
Future Opportunities: Unlocks 1 advanced course for further study
Interdisciplinary Requirements: Prerequisites span 4 different departments
Course Type: Capstone or specialized course - synthesizes prior learning
Part of the DSCI curriculum at University of British Columbia, helping students progress through degree requirements.
Courses unlocked by DSCI220
Academic Planning at University of British Columbia
Students planning DSCI220 at University of British Columbia should complete 3 prerequisites before enrollment.
Course Sequence: This course requires a 6-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DSCI220 enables enrollment in 1 advanced course, opening specialization opportunities in the DSCI program.
This year 0 course at University of British Columbia integrates into structured degree pathways for DSCI programs, supporting timely graduation and academic progression.