The Computational Data Science (CDAS) programme, through the synergy of the strengths of the Department of Computer Science and Engineering and the Department of Statistics, focuses on the in-depth academic training in the domain of computational data science. It is designed to manufacture mathematical, technical and analytical skills to create solutions to lead data-driven decision making.
data structures, algorithms, parallel programming, and distributed computing system
sampling methods, statistical modelling, high-dimensional statistics, computer-intensive statistical inference
It aims to equip students with the capabilities of applying both
high-performance parallel and distributed computing for big data manipulation, and
data-driven statistical procedures, methodologies and theories for mining patterns, making predictions, and discovering sciences from large and complex datasets.
Enable students to develop cutting-edge massive data analytics and management solutions that are of practical interest to academics, industry, and society
Nurture local talents in computational statistics related applications to meet rising demand for data driven in the Information Age
Duration of Study
Planned number of students Intake: