With the rapid expansion of big data and artificial intelligence, there is a necessity to comprehend how to leverage these tools to contribute to building a better society. Under the guidance of the Center for Data Science at Zhejiang University, the iMDS program offers comprehensive training in applied and theoretical statistics, machine learning algorithm programming, data visualization, and the fundamental principles of statistical inference. Upon program completion, our graduates will possess the skills to identify and employ suitable methods for solving intricate real-world challenges in diverse sectors, such as business and social sciences. Additionally, they will be adept at communicating results clearly and efficiently to a broad audience.
Interdisciplinary
program
3 years
Full-time
Taught
in English
Intensive
Course
Prof. Sun was a tenured full professor at the Marshall School of Business, University of Southern California (USC) prior to his appointment at ZJU. He has been awarded research funds multiple times, continuously from 2010 to 2022, from the National Science Foundation (NSF) as the principal investigator. He is the recipient of multiple awards, including the prestigious NSF CAREER Award, USC Dean’s award for research excellence and Golden Apple Best Teaching Award. His research interests include: Large-Scale Multiple Testing, Selective Inference, Empirical Bayes Methods, Conformal Inference, Fairness in Machine Learning, Transfer Learning and Statistical Decision Theory.
Yifan Cui is a Faculty Member of Data Science at Zhejiang University. Before joining ZJU, he was an Assistant Professor at Department of Statistics and Data Science, National University of Singapore. He has worked at Wharton School of the University of Pennsylvania as a Postdoctoral Researcher and obtained his Ph.D. from University of North Carolina at Chapel Hill. He is an elected member of the International Statistical Institute.
Partnering with the Center for Data Science, the iMDS program draws on faculty expertise, real world case studies and peer interactions. It will enable you to to advance your use of analytics and drive greater success through artificial intelligence, computer science, management and control related subjects.
