Data science and machine learning have deeply affected the field of material science. The upcoming of data-driven methods redefined both objectives and tasks and lead to the development of utterly new methods. This summer school offer comprehensive, multidisciplinary insights into these new developments, extending from machine learning to experimental characterization, including alloy design and mechanistic modeling. Internationally renowned speakers will share their perspectives in a 5-day workshop in the spectrum of data-driven design of materials and structures. The lectures will be extended by hands-on sessions to achieve a greater understanding of the latest scientifical developments.