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- About
- Academics
- Overview
- What the World Needs
- What is Cross-disciplinary?
- Academic Structure
- Hubs and Thrust Areas
- Teaching and Learning Innovation
- Centre for Ethics Education and Contemporary China Studies
- College of Education Sciences
- College of Future Technology
- Pillar of Language Education
- Red Bird Challenge Camp
- Red Bird MPhil Program
- Department of Teaching Development
- Undergraduate Academic Life
- Pedagogy
- Medium of Instruction
- Undergraduate Programs & Courses
- HKUST Fok Ying Tung Graduate School (Guangzhou)
- Academic Registry Services
- Academic Quality Manual
- Academic Calendar
- Faculty Profiles
- University Forum
- Campus Life
- Research
- Knowledge Transfer
- News
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Data Science and Analytics

Data Science and Analytics
Mission
It advances data science and analytics by unifying statistics, machine learning, optimization, and their related techniques. It also expands the applications of data science and analytics to solve real world problems and to benefit society.

Data Science and Analytics
Cross-Disciplinary Focus Areas
- Data-driven AI & Machine Learning
- Statistical Learning and Modeling
- Industrial and Business Analystics
- Sector-Specific Data Analytics
- Data Visualization and Infographics
- High-Performance Systems for Data Analystics
- Security and Privacy
- AI4Science
Data Science and Analytics