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Programme Highlights:
Expected Duration
1 year
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.
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
2025 September
Application Deadline
Round 1 (Main):
12:00 AM (GMT +8), January 03, 2025Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
12:00 AM (GMT +8), January 03, 2025Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
Description
Most classes will be held on weekday evenings or during weekends. Some classes will be held on weekday daytime.
Expected Duration
2 years
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.
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
2025 September
Application Deadline
Round 1 (Main):
12:00 AM (GMT +8), January 03, 2025Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
12:00 AM (GMT +8), January 03, 2025Round 2 (Clearing):
12:00 noon (GMT +8), April 11, 2025
Description
Most classes will be held on weekday evenings or during weekends. Some classes will be held on weekday daytime.
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Overview
The Master of Science in Computer Science Programme equips students with advanced and in-depth knowledge in computer science, assisting them to achieve breakthroughs in work and research.
The best features of the curriculum are its diversity and flexibility. There are four streams of study - Cyber Security, Financial Computing, Multimedia Computing, and General Stream, covering a wide range of subjects from data engineering, cloud computing, blockchain technology, deep learning to the study of financial fraud analytics.
• The General Stream covers a broad, comprehensive range of Computer Science subjects, including a wide range of courses which students can choose from.
• The Cyber Security Stream is a multidisciplinary area of study and professional activity concerned with state-of-the-art technology in cyber security. The curriculum covers different aspects of cyber security from different perspectives, including technical, organisational, human-oriented and legal.}
• The Financial Computing Stream is the study of data and algorithms used in finance and the mathematics of computer programmes that realise financial models or systems. Financial Computing emphasizes practical numerical methods and focuses on techniques that are directly applicable to business and financial analysis. The emphasis will be in the computing aspect of the financial industry.
• The Multimedia Computing Stream focuses on multimedia computing, communications, analytics, visualization and applications. Students will gain theoretical and practical skills that will enable them to develop innovative and creative multimedia computing technologies.
Students are required to complete either 48 credits plus a dissertation (equivalent to 24 credits), or 60 credits plus a project (equivalent to 12 credits) to graduate.
The best features of the curriculum are its diversity and flexibility. There are four streams of study - Cyber Security, Financial Computing, Multimedia Computing, and General Stream, covering a wide range of subjects from data engineering, cloud computing, blockchain technology, deep learning to the study of financial fraud analytics.
• The General Stream covers a broad, comprehensive range of Computer Science subjects, including a wide range of courses which students can choose from.
• The Cyber Security Stream is a multidisciplinary area of study and professional activity concerned with state-of-the-art technology in cyber security. The curriculum covers different aspects of cyber security from different perspectives, including technical, organisational, human-oriented and legal.}
• The Financial Computing Stream is the study of data and algorithms used in finance and the mathematics of computer programmes that realise financial models or systems. Financial Computing emphasizes practical numerical methods and focuses on techniques that are directly applicable to business and financial analysis. The emphasis will be in the computing aspect of the financial industry.
• The Multimedia Computing Stream focuses on multimedia computing, communications, analytics, visualization and applications. Students will gain theoretical and practical skills that will enable them to develop innovative and creative multimedia computing technologies.
Students are required to complete either 48 credits plus a dissertation (equivalent to 24 credits), or 60 credits plus a project (equivalent to 12 credits) to graduate.
Entrance Requirements
1. A Bachelor's degree or an equivalent qualification
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.
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.
Faculty Website
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:
3917 1828
