Master of Science in Artificial Intelligence
Overview
In today’s technologically advanced era, the indispensability of artificial intelligence (AI) in our daily lives is undeniable.With intelligent machines permeating every aspect of society, the advantages of enhanced efficiency and the augmentation of human capabilities have become apparent. One notable facet of AI is machine learning, enabling machines to observe, analyse, and even make mistakes, akin to the human brain, without explicit programming. As a result, AI has found its applications in diverse fields, including scientific research, transportation, and marketing. As we look ahead, the demand for AI professionals is expected to continue growing.
As Asia’s global university, we aspire to nurture a generation of professional AI talents to address market needs. The Master of Science in Artificial Intelligence [MSc(AI)] programme provides students with foundational principles and knowledge in AI, and develops their practical skills and capabilities in applying AI to solve real world problems with ethical awareness. The programme is designed to prepare graduates for a wide range of career opportunities in AI-related fields.
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Programme Features
Interdisciplinary and well-balanced curriculum
- Solid training in diverse techniques used in AI from the core courses
- Electives over related topics from mathematics, statistics and computer science
- A capstone project with real-life applications
- Guest lectures by distinguished scholars and industry experts
- Internship opportunities in the AI industry and academia
Learning within and beyond AI
- Student will learn the AI-related applications of mathematics, statistics and computer science to solve real-life problems.
- The theoretical elements in the curriculum will help students develop essential intellectual capacity at large.
Industry connections and career prospects
- Teaching team has strong connections with high-tech industries in the Greater Bay Area.
- Our graduates are expected to be well prepared for careers such as software engineers, consultants and research scientists in AI and related fields such as big data and financial technology.
Teachers' Expertise
Programme Information
Master of Science in Artificial Intelligence [MSc(AI)] is an interdisciplinary taught postgraduate programme jointly offered by the Department of Mathematics (host), the Department of Statistics & Actuarial Science and the Department of Computer Science. Its academic focus is promoting the applications of mathematics, statistics and computer science to facilitate AI in decision-making and problem-solving for various organizations and enterprises within the private and public sectors.
General Information
| Programme Title | Master of Science in Artificial Intelligence [MSc(AI)] |
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| Offering Departments | Department of Mathematics (host) Department of Statistics & Actuarial Science Department of Computer Science |
| Mode of Study | Full-time |
| Study Period | Normative: 1.5 years |
| Tuition Fee | HK$330,000* for the 2024-25 intake. The fee shall normally be payable in three instalments over 1.5 years for full-time study.
In addition, students are required to pay Caution Money (HK$350), refundable on graduation subject to no claims being made, and Graduation Fee (HK$350). All full-time students will be charged a student activity fee of HK$100 per annum to provide support for activities of student societies and campus-wide student events. * Subject to approval |
| Scholarships | Master of Science in Artificial Intelligence Entrance Scholarship (HK$20,000) Master of Science in Artificial Intelligence Outstanding Performance Scholarship (HK$20,000 - HK$30,000) |
| Target Intake Numbers | Full-time: 100 - 120 students |
Programme Structure
The course list is tentative and subject to change. For detailed course descriptions, go to Regulations and Syllabuses (subject to approval).
| Total Credit Requirements |
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| 72 credits |
| Compulsory Courses (42 credits) |
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ARIN7001 Foundations of artificial intelligence ARIN7011 Optimization in artificial intelligence ARIN7013 Numerical methods in artificial intelligence ARIN7101 Statistics in artificial intelligence ARIN7102 Applied data mining and text analytics COMP7404 Computational intelligence and machine learning DASC7606 Deep learning |
| Disciplinary Electives (18 credits)* with at least 6 credits from each of the following lists |
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List A: ARIN7014 Topics in advanced numerical analysis ARIN7015 Topics in artificial intelligence and machine learning MATH7224 Topics in advanced probability theory MATH7502 Topics in applied discrete mathematics MATH7503 Topics in advanced optimization List B: STAT6011 Computational statistics and Bayesian learning STAT7008 Programming for data science STAT8020 Quantitative strategies and algorithmic trading STAT8021 Big data analytics List C: COMP7308 Introduction to unmanned systems COMP7309 Quantum computing and artificial intelligence COMP7409 Machine learning in trading and finance COMP7502 Image processing and computer vision ARIN7017 Legal issues in artificial intelligence and data science *Students who have completed the same or similar courses in their previous studies may, on production of relevant transcripts, be permitted to select up to 18 credits of disciplinary electives from the other two lists if they are not able to find any untaken options from any one of the lists of disciplinary electives. |
| Capstone Requirement (12 credits) |
| ARIN7600 Artificial intelligence project (12 credits) |
Admission
| Admission Requirements |
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To be eligible for admission to this programme, applicants shall:
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| Application for 2024-25 Intake |
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Online application will be opened on 16 October 2023. Main Round Deadline: 12:00nn (HKT), 15 December 2023. Candidates who apply within this period will have priority. Clearing Round Deadline: 12:00nn (HKT), 15 March 2024. Notes:
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| Online Information Session |
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Session 1 Session 2 Session 3 |
| Frequently Asked Questions |
| Frequently Asked Questions |
Media Coverage
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Contact
Programme Director
Professor Xiaoming Yuan
Email: mscai [at] maths.hku.hk
Associate Programme Director
Professor Guangyue Han
Email: mscai [at] maths.hku.hk
Programme Coordinator
Dr. Fai Lung Tsang
Email: f.l.tsang [at] hku.hk
Enquiries
Tel: (852) 3917 2258Email: mscai [at] maths.hku.hk
Address: Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong