DSCI100 - Introduction to Data Science
Course: DSCI100 (Introduction to Data Science) in DSCI department at University of British Columbia.
Credit Hours: 0 • Academic Level: year 0 undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 7 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the DSCI curriculum at University of British Columbia, helping students progress through degree requirements.
Courses unlocked by DSCI100
- DSCI310 - Reproducible and Trustworthy Workflows for Data Science
- MICB205 - Fundamental Data Science in Microbiology and Immunology
- DSCI200 - Navigating Data: Acquisition, Exploration and Management
- DSCI220 - Discrete Mathematics for Data Science
- NSCI303 - Foundations of Computational Neuroscience
- ATSC313 - Renewable Energy Meteorology
- STAT201 - Statistical Inference for Data Science
Academic Planning at University of British Columbia
Students planning DSCI100 at University of British Columbia should complete 0 prerequisites before enrollment.
Future Pathways: Completing DSCI100 enables enrollment in 7 advanced courses, 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.