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.
Duration of Study
Planned number of students Intake: