1. Establish a dual-supervisor joint training scheme with the Department of Biostatistics at Harvard University.
2. Offer an advanced course on Federated Learning and Privacy Computing.
Platform Development and International Exchanges
The School will integrate resources from the Big Data Laboratory, the Data Science Application Alliance, and related platforms to develop a big data research and training platform. This platform will provide broad opportunities for large-scale, practice-based learning and further strengthen the connection between theory and application. The School will also invite leading international statisticians to offer short courses and academic lectures on a regular basis, while supporting graduate students and core faculty in academic exchange and collaborative research at overseas universities.
Medium and Long-Term Goals
The School seeks to strengthen its capacity to address key scientific questions in interdisciplinary areas such as artificial intelligence, the digital economy, finance and actuarial science, biomedicine, and public health statistics. It will work to build statistics into a discipline with strong national standing and to achieve an A-level rating in the Ministry of Education’s discipline evaluation. More broadly, the School is committed to becoming a world-class School of Statistics and Data Science with distinctive Southeast University characteristics. It also aspires to develop its Big Data Center into one of the few large-scale data centers in the world led by statisticians, helping to bridge the gap between data owners and data scientists.
