Probability and statistics form the foundation for many STEM fields in engineering, management science, technology, technology, and data science. Statistics formalizes data analysis and connects closely with probability models and data collection methods. This course introduces the concept of randomness and uncertainty then applies various conceptual and computational models to solve problems. Graduate students will learn basic concepts involving set probability, conditional probability, and random variables. This course is offered only for students enrolled in a professional program, offered in partnership with University HUB.