This course explores statistical and AI methods for analyzing physical and biological materials. Students will learn data-driven techniques, including machine learning, Bayesian inference, and neural networks, to model structure-property relationships, predict material behavior, and accelerate discovery in complex systems such as polymers, biomaterials, and soft matter.