SCDA2017 Due to their high-volume, high-dimensional and highly unstructured features, big data create a lot of fundamental challenges for data science from theory to practice. To turn challenges into opportunities, a key step is to build successful alliances between statistics, machine learning, and scientific areas that produce large amounts of data. This is exactly the goal of this symposium which features twenty prominent international leaders as well as accomplished domestic investigators in statistics and computer science. They will share their cutting-edge research with symposium attendees, thereby providing an excellent platform to facilitate the exchange of ideas for data science research among academic researchers, Ph.D. students/graduates and industry practitioners.