Course contents This course provides a robust foundation in statistical methodologies and data-driven modeling tailored for engineering research. The programme bridges traditional inferential statistics with modern computational intelligence, equipping doctoral candidates with the analytical framework required to extract meaningful insights from complex experimental and industrial datasets. The curriculum is structured to guide students from foundational descriptive and inferential statistics to more advanced analytical techniques. Initial modules cover linear and non-linear regression models, providing the basis for characterizing system behavior. A significant portion of the course is dedicated to Machine Learning, specifically investigating both supervised and unsupervised algorithms for classification, clustering, [...]