EPIB621 - Data Analysis in Health Sciences
Course: EPIB621 (Data Analysis in Health Sciences) in EPIB department at McGill University.
Credit Hours: 4 • Academic Level: year 6 undergraduate course
Course Requirements: Requires 2 prerequisite courses
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 11 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the EPIB curriculum at McGill University, helping students progress through degree requirements.
Courses unlocked by EPIB621
- PPHS616 - Principles and Practice of Public Health Surveillance
- EPIB638 - Mathematical Modeling of Infectious Diseases
- EPIB648 - Methods in Social Epidemiology
- EXMD651 - Statcl Models for Hlth Resrch
- PPHS617 - Impact Evaluation
- EPIB639 - Pharmacoepidemiologic Methods
- EPIB671 - Cancer Epidemiology and Prevention
- EPIB627 - Analysis of Correlated Data
- EPIB637 - Advanced Modeling: Survival and Other Multivariable Data
- EPIB647 - Analysis Temporal and Spatial Data
- EPIB704 - Doctoral Level Epidemiologic Methods 1
Academic Planning at McGill University
Students planning EPIB621 at McGill University should complete 2 prerequisites before enrollment.
Future Pathways: Completing EPIB621 enables enrollment in 11 advanced courses, opening specialization opportunities in the EPIB program.
This year 6 course at McGill University integrates into structured degree pathways for EPIB programs, supporting timely graduation and academic progression.