This thematic program emphasized both applied and theoretical aspects of statistical inference, learning and models in big data. The opening conference served as an introduction to the program, concentrating on overview lectures and background preparation. Workshops throughout the semester emphasized deep learning, statistical learning, visualization, networks, health and social policy, and physical sciences. A number of allied activities at PIMS, CRM and AARMS were also planned during the semester. This thematic program is took place in cooperation with the new Canadian Statistical Sciences Institute (CANSSI).