The data-driven era creates strong interests and needs of analyzing, storing, distributing, and sharing massive amounts of data using sophisticated data analytics and machine learning algorithms and methodologies, with applications in multiple disciplines including science, social science, finance, public health, medicine, engineering, and telecommunications. Huge job demand of data analysts in both local and global employment markets has been witnessed.
This new programme focuses on in-depth academic training in the domain of computational data science. 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.
Such capabilities enable students to develop cutting-edge massive data analytics and management solutions that are of practical interest to academics, industry, and society.
Algorithm
Parallel Computing
Distributed System
Computer Science
Deep Learning
Statistics
Sampling Methods
Statistical Modeling
High-dimensional Statistics
Large-scale Inference
Algorithm
Parallel Computing
Distributed System
Computer Science
Deep Learning
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
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.
Data structures, algorithms, parallel programming, and distributed computing system.
Sampling methods, statistical modelling, high-dimensional statistics, computer-intensive statistical inference.
Machine learning, data mining and data visualization for data-driven decision-making in a specialized field.
Our programme synergizes teaching and research closely.
QS World University
CUHK: #7 (#30) in QS 2020 in Computer Science in Asia (World)
U.S. News Best Global Universities
#4 (#11) in Best Global Universities for Computer Science in Asia (World)
All students are required to do a 6-unit research-driven Final Year Project to work on real-world interdisciplinary problems.
6-unit research-driven Final Year Project
The Central Research Computing Cluster (www.cuhk.edu.hk/itsc/hpc) consists of more than two thousand CPU cores and thirty-two professional-level graphics processing units (General-purpose GPU).
It has been supporting research work on scientific computing in different disciplines including Physics, Biomedical Sciences, Earth Sciences, Architecture and Engineering.
Students can leverage the computing cluster to solve challenging data-intensive research problems in their final year project.
CUHK students have had outstanding records in international competitions.
(formerly named as ACM Programming Competition)
(2nd place)
(competed in the Global Final in Singapore)
Our faculty members have close collaborations with major IT enterprises and hospitals.
Our alumni span over IT industry, government agencies and financial and banking sectors.
IT Industry
Education / Government
Banking
Students will have opportunities to join site visits, internships, and undergraduate student research projects.
