This course will provide an introduction to the theory and methods of Bayesian statistics. In Bayesian statistics, one's inference about parameters and hypotheses are updated, using Bayes rule, as evidence/data accumulates. We will discuss the theory and how to do Bayesian data analysis. Computational aspects will also be discussed, and we will make use of R, JAGS/Stan, to do the inference.