Bayesian Decision Theory is a fundamental statistical approach that utilizes Bayes' theorem to make decisions under uncertainty by incorporating prior knowledge and evidence. It provides a framework for modeling decision-making problems where outcomes are probabilistic and decisions are made to minimize expected loss or maximize expected utility.