The School of Data Science (SDS), Fudan University was established on October 8, 2015. This is a major strategic move for the time-honored university to aim at the frontier of international science and technology, focus on national innovation and development, and stimulate the dynamics of disciplines on its road to academic excellence, developing a world-class university and first-class disciplines. Committed to big data scientific research, talent training and industrial innovation, with computer science, statistics, and computational mathematics as three fundamental disciplines, SDS values in-depth interdisplinary study and practical application in subjects like information science, life sciences, medicine, economics, sociology, management, environmental science, engineering, et. SDS explores a brand-new student training method, which starts early and has an excellent system, and strives to build a solid platform for data science research and application. In the past seven years, a group of data science talents with solid basis and international vision has been nurtured to make contributions for our society.
The International Interdisciplinary Talent Team，SDS implements the tenure-track system, which is widely adopted by North American universities. The Academic Committee of SDS, composed of internationally renowned experts in the fields of computer science and statistics, including Professor Fan Jianqing, the first dean of SDS and a leading figure in international statistics, adopts an internationally advanced academic evaluation mechanism and is responsible for the recruitment and promotion assessment. SDS has now introduced 27 overseas returnees and has one academician, five national-level talent program candidates, eight National Youth Talent Program candidates, and five province-level talent program candidates. SDS has also formed the Faculty Council and Advisory Committee to guide the academic development, recruitment of talents, and student training, and enjoys an excellent practice platform and abundant research resources.