Program Overview
Master of Data Science (MDASC) | HKU School of Computing and Data Science
The Master of Data Science (MDASC) programme at the University of Hong Kong is designed to equip students with the skills and knowledge required to navigate the dynamic landscape of big data. The programme's interdisciplinarity promotes the applications of computer technology, operational research, statistical modelling, and simulation for problem-solving and decision-making in organisations and enterprises within the private and public sectors.
Programme Overview
In the era of big data, a colossal amount of data is being generated every day from channels including social media, consumer profiles, and the global economy. This complexity of data requires not only description and understanding but also the revelation of crucial information to facilitate the best course of action. While traditional data processing application software is incapacitated, the emergence of the HKU Master of Data Science opens up a new frontier of high-performance analytics in this era of big data.
Key Facts
- Entrance Year: 2026
- Mode of study and Normal Duration:
- Full-time (1.5 year)
- Part-time (2.5 years)
- Credits Required for Graduation: 72
- Tuition Fee:
- $324,000 for Local students
- $339,840 for Non-local students
- Application Deadline:
- Main Round: 1 December, 2025
- Clearing Round: 31 March, 2026
Programme Highlights
The programme covers a range of areas, including:
- Computer Science / IT
- Statistics
- Domain/Business Knowledge
- Machine Learning
- Software Development
- Research
Graduates' Career Prospects
Graduates of the programme have gone on to pursue careers in various fields, including:
- AI Engineer
- Algorithm Engineer
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Senior Data Science & AI Research Assistant
- Senior Technical Analyst
- Software Engineer (Machine Learning)
What Our Alumni Say
Alumni of the programme have praised its ability to:
- Develop the precise skill set required for navigating the dynamic landscape
- Provide an interdisciplinary approach to analysing data
- Explore potential and adapt well in the workplace
Latest News
The programme is committed to staying at the forefront of developments in data science, with recent news and updates available for those interested in exploring the latest advancements and achievements in the field.
