Computational Data Science The Chinese University of Hong Kong

Overview

Computational Data Science programme offered at The Chinese University of Hong Kong aims to equip students with the capabilities of applying both: (1) high-performance parallel and distributed computing for big data manipulation, and (2) data-driven statistical procedures, methodologies and theories for mining patterns, making predictions, and discovering patterns and insights from large and complex datasets. Therefore, the curriculum of the CDAS programme provides students with a solid foundation in data structure and algorithms, parallel and distributed computing system programming, statistical modelling and analysis, and large-scale statistical inferences.

Key facts:

The CDAS programme emphasizes the computational foundations of data science, providing an in-depth understanding of algorithms and data structures for storing, manipulating, visualizing, interpreting and learning from large datasets. Four specialized streams are offered for students to choose application fields according to their interests:

• Computational Data Science

• Computational Physics

• Computational Medicine

• Computational Social Science

Career Prospects

• Computational data science is a rapidly evolving interdisciplinary field that is in high demand. Future graduates will be prepared for careers that create order and derive meaning from huge amounts of data. This programme prepares graduates for careers that require deep knowledge and skills in machine learning, database management, and high-performance computing, with an adequate statistics background. Future alumni can work as business intelligence analysts, data mining engineers, data modelers, data scientists, engineers and developers, data warehouse architects, research analysts, etc.