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School of Computing and Data Science
Master of Science in Electronic Commerce and Internet Computing
MSc(ECom&IComp) | Full-time & Part-time
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Programme Highlights:
Expected Duration
Expected Duration
1 year
Fees
Fees
Self-funded:
Local: HK$210,800
Non-local: HK$320,000
*A ‘non-local’ student is a person entering Hong Kong for the purpose of education with a student visa/entry permit issued by the Director of Immigration.
Expected Programme Start Date
Expected Programme Start Date
2025 September
Application Deadline
Application Deadline
Round 1 (Main):
12:00 AM (GMT +8), January 03, 2025
Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
Description
Description
Most classes will be held on weekday evenings or during weekends. Some classes will be held on weekday daytime.
Apply Now
Expected Duration
Expected Duration
2 years
Fees
Fees
Self-funded:
Local: HK$210,800
Non-local: HK$320,000
*A ‘non-local’ student is a person entering Hong Kong for the purpose of education with a student visa/entry permit issued by the Director of Immigration.
Expected Programme Start Date
Expected Programme Start Date
2025 September
Application Deadline
Application Deadline
Round 1 (Main):
12:00 AM (GMT +8), January 03, 2025
Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
Description
Description
Most classes will be held on weekday evenings or during weekends. Some classes will be held on weekday daytime.
Apply Now

Overview

Established in September 1999, the Master of Science in Electronic Commerce and Internet Computing [MSc(ECom&IComp)] curriculum was the first of its kind offered in the Asia Pacific region to bridge business and technology. It taps into the unique position of Hong Kong in the global financial market and was launched with the mission to nurture technologically adept and business savvy talents who can offer innovative solutions to the businesses in Hong Kong. We train professionals who can satisfy this demand. We also incorporate some advanced and meritorious components to help students keep abreast with the fast advances in IT technologies.

When students exit from the programme, they continue to be able to separate the hype from the reality, to analyze new developments, synthesize and integrate them with established, sound structures and concepts, and to spot niches and opportunities for entrepreneurial ventures.

Students are required to complete either 48 credits plus a dissertation (equivalent to 24 credits), or 60 credits plus a case study project (equivalent to 12 credits) to graduate.

Entrance Requirements

1. A Bachelor's degree or an equivalent qualification

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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)
Dr KP Chow
telephone 3917 1828
Contact Info
Miss Ellen Lam
telephone 3917 1828