MATH323 - Probability
Course: MATH323 (Probability) in MATH department at McGill University.
Credit Hours: 3 • Academic Level: third-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 23 advanced courses for further study
Part of the MATH curriculum at McGill University, helping students progress through degree requirements.
Prerequisites for MATH323
Courses unlocked by MATH323
- BMDE520 - Machine Learning for Biomedical Data
- COMP549 - Brain-Inspired Artificial Intelligence
- EXMD521 - Computational Methods Single-Cell Analytics
- MATH430 - Mathematical Finance
- ATOC557 - Research Methods: Atmospheric and Oceanic Science
- COMP551 - Applied Machine Learning
- COMP579 - Reinforcement Learning
- ECSE551 - Machine Learning for Engineers
- COMP514 - Applied Robotics
- COMP588 - Probabilistic Graphical Models
- COMP642 - Numerical Estimation Methods
- ECSE608 - Machine Learning
- COMP462 - Computational Biology Methods
- COMP424 - Artificial Intelligence
- COMP451 - Fundamentals of Machine Learning
- COMP550 - Natural Language Processing
- COMP547 - Cryptography and Data Security
- COMP561 - Computational Biology Methods and Research
- ECSE557 - Introduction to Ethics of Intelligent Systems
- MATH324 - Statistics
- MATH510 - Quantitative Risk Management
- MATH447 - Introduction to Stochastic Processes
- MATH556 - Mathematical Statistics 1
Academic Planning at McGill University
Students planning MATH323 at McGill University should complete 1 prerequisite before enrollment.
Future Pathways: Completing MATH323 enables enrollment in 23 advanced courses for further study
This third-year course at McGill University integrates into structured degree pathways for MATH programs, supporting timely graduation and academic progression.