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School of Computing and Data Science
Master of Data Science
MDASC | Full-time & Part-time
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Programme Highlights:
Expected Duration
Expected Duration
1.5 years
Fees
Fees
HK$324,000
Expected Programme Start Date
Expected Programme Start Date
September 2025
Application Deadline
Application Deadline
Round 1 (Main):
12:00 noon (GMT +8), November 18, 2024
Round 2 (Clearing):
12:00 noon (GMT +8), January 13, 2025
Description
Description
Full Time (one and a half years, including daytime, evenings and weekends)
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Expected Duration
Expected Duration
2.5 years
Fees
Fees
HK$324,000
Expected Programme Start Date
Expected Programme Start Date
September 2025
Application Deadline
Application Deadline
Round 1 (Main):
12:00 noon (GMT +8), November 18, 2024
Round 2 (Clearing):
12:00 noon (GMT +8), January 13, 2025
Description
Description
Part Time Part Time (two and a half years, including evenings and weekends)
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Overview

The curriculum structure of the Master of Data Science programme is comprised of a wide range of statistics and computer science courses, with two study modes: full-time mode with one and a half academic years and part-time mode with two and a half academic years. The curriculum is designed to provide graduates with training in the principles and practice of data science.

Candidates should have knowledge of calculus and algebra, computer programming and introductory statistics and should have taken at least one university or post-secondary certificate course in each of these three subjects or related areas.

Expected graduation period for normal course of studies

Full Time: Summer (July 2027)
Part Time: Summer (July 2028)

Entrance Requirements

1. A Bachelor's degree or an equivalent qualification; and

2. Applicants should have taken at least one university or post-secondary certificate course in each of the following three subjects (calculus and algebra, computer programming and introductory statistics) or related areas.

Download Documents

For additional information, we recommend reviewing the following documents:

Additional Information
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Regulations & Syllabuses
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Supporting Documents
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Faculty

School of Computing and Data Science
To meet the growing importance of computing and AI literacy in the 21st century, HKU recognises the need to equip students with the necessary skills to succeed in an increasingly technology-driven world. The newly established School of Computing and Data Science (SCDS) at The University of Hong Kong encompasses the existing Department of Computer Science and the Department of Statistics and Actuarial Science. We have about 60 renowned scientists and 800 postgraduate students and offer 14 academic programmes.

The School, through a cross-faculty integration, will create a powerful synergy between computational technology, mathematical modelling and statistical reasoning that have become the cornerstones of modern data science and artificial intelligence. By combining the complementary strengths of computer science and statistics curricula, students graduating from the school will have strong analytical and computational skills. The School will also serve as a thriving hub for interdisciplinary academic and research collaborations, fostering partnerships with all other faculties that leverage the potential of modern data science and AI.

The taught postgraduate programmes offered by the School will provide students with the latest knowledge and skills in computing & data science technologies and prepare them for the demands of the industry and job market. The programmes will cover various topics, including but not limited to data science, artificial intelligence, cybersecurity, statistics and software engineering301. The School works closely with industry partners to ensure that the programmes are up-to-date and relevant to the current demands of the industry. The school aims to produce well-equipped graduates who can contribute significantly to advancing knowledge and innovation.
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Contacts

If you have any inquiries regarding the programme or faculty, please do not hesitate to reach out to us using the contact methods provided below:

Programme Admissions Advisor(s)
Professor Marius Hofert
telephone 3917 4152
fax 2858 9041
Contact Info
Miss Jacey Yeung
telephone 3917 4152