Year of Entry
2026Application Deadline
20250916T020000Z20260430T155900Z
Mode of Study
Combined †Mode of Funding
Non-government-fundedIndicative Intake Target
140Minimum No. of Credits Required
31Class Schedule
Mostly on weekday eveningsNormal Study Period
Full-time: 1 year;Full-time with year-long internship/project: 2 years;
Part-time/Combined mode: 2 years
Maximum Study Period
Full-time: 2.5 years;Full-time with year-long internship/project: 3 years;
Part-time/Combined mode: 5 years
Mode of Processing
Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.Programme Outlines
Programme Aims and Objectives
Entrance Requirements
Hong Kong Future Talents Scholarship Scheme for Advanced Studies
Course Description
The programme aims to
- enable computer professionals to strengthen and upgrade their technical capabilities in Artificial Intelligence,
- broaden students’ knowledge and deepen their understanding of specific areas in Artificial Intelligence from both the technical and practical perspectives, and
- prepare graduates to take up research and advanced innovative development work in the industry or pursue higher research studies in Artificial Intelligence.
To be eligible for admission, you must satisfy the General Entrance Requirements and have:
- a recognised bachelor's degree in a computing discipline such as Computer Science, Information Technology, Computer Engineering, Information Systems, or equivalent; or
- a recognised bachelor's degree in a related discipline such as Electronic Engineering, Applied Mathematics, Manufacturing Engineering, Quantitative Analysis, or equivalent, together with applicable working experience in information technology; or
- a recognised bachelor's degree with substantial knowledge or background in information technology.
Applicants whose entrance qualification is obtained from an institution where the medium of instruction for the whole programme is NOT English should also fulfill the following minimum English proficiency requirement:
- 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL)@; or
- an overall band score of 6.5 in International English Language Testing System (IELTS) (Academic)@; or
- a score of 450 in the Chinese mainland’s College English Test Band 6 (CET-6)
IELTS (UKVI) (Academic) for UK student visa application is acceptable.
@ TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the start of the University's application period. There is no validity period for CET-6.
For Submission of TOEFL Score to CityUHK:
Please arrange with the Educational Testing Service (ETS) to send your result(s) directly to the University. The TOEFL institution code for CityUHK is 3401 (Graduate School Admissions) and the Department code is 99.
For Submission of IELTS Score to CityUHK:
Please send your result(s) via the IELTS Results Service e-delivery to the University.
The following English tests are NOT acceptable:
- Duolingo
- GMAT
- GRE
- IELTS Indicator
- IELTS One Skill Retake
- IELTS Online
- TOEFL iBT Home Edition
- TOEFL MyBest Score
- TOEIC
- Others
Please refer to the updated admissions website for information.
The definitions of non-local applicants and local applicants are set out below:
Non-local Applicants
Persons holding the following documents issued by the Immigration Department (IMMD) of the HKSAR are classified as non-local applicants:
- Student visa / entry permit; or
- Visa / entry permit under the Immigration Arrangements for Non-local Graduates (IANG Visa); or
- Dependant visa / entry permit for applicants who were 18 years old or above when they were issued with such visa / entry permit by the IMMD
Due to immigration restrictions, nationals from Afghanistan, Cuba, Laos, North Korea (DPRK), Nepal and Vietnam may not be able to obtain a student visa to study in Hong Kong. For details, please click here.
Local Applicants
Persons holding any of the following documents issued by the Immigration Department (IMMD) are classified as local applicants:
- Hong Kong Permanent Identity Card
- Documents issued by the IMMD certifying the right of abode / right to land in Hong Kong
- One-way permit for entry to Hong Kong
- Dependent visa / entry permit for applicants who were below 18 years old when they were issued with such visa / entry permit by the IMMD
- Full-time employment visa / work permit (for part-time study)
- Visa / entry permit for Quality Migrant Admission Scheme (QMAS)
- Visa / entry permit for Capital Investment Entrant Scheme (CIES)
- Visa / Entry permit for Admission Scheme for the Second Generation of Chinese Hong Kong Permanent Residents
- Visa label for unconditional stay
If you need further advice on visa requirements, please contact the IMMD.
This programme has been selected by the University Grants Committee (UGC) for the scholarship award under the main priority area of ‘STEM’. Scholarships are available to local students admitted to the programme. Nominated students will be invited to submit applications for the scholarship. For details, please visit the scholarship website.
Courses in the programme are categorized into core courses and elective courses. To obtain the award of Master of Science in Artificial Intelligence, students are required to take
- all 10 credits of the core courses, and
- at least 21 credits of the elective courses.
Some of the elective courses are also designated as stream courses of the Autonomous Driving (AD) Stream, Generative AI (GAI) Stream or Trustworthy AI (TAI) Stream. Students may choose to:
- concentrate on a stream by taking 9 credit units from the stream, comprising 2 stream core courses and 1 stream elective (either the Project or Internship course of that stream), and no more than 3 credit units of courses from each of the other streams, or
- take any Elective Courses without concentration on any stream.
Core Courses (10 credits)
CS5491 Artificial Intelligence
CS5486 Intelligent Systems
CS5489 Machine Learning: Algorithms and Applications
CS5611 Seminar on AI Ethics (1 credit)
Elective Courses (21 credits)
Group I Electives
Autonomous Driving (AD) Stream
CS5493 Topics in Autonomous Driving (AD Stream Core)
SDSC6007 Dynamic Programming and Reinforcement Learning (AD Stream Core)
CS6522 Project in Autonomous Driving (6 credits, AD Stream Elective)
CS6523 Internship in Autonomous Driving (6 credits, AD Stream Elective)
CS6539 Internship in Autonomous Driving (3 credits, AD Stream Elective)
Generative AI (GAI) Stream
CS6493 Natural Language Processing (GAI Stream Core)
CS5494 Topics in Generative AI (GAI Stream Core)
CS6524 Project in Generative AI (6 credits, GAI Stream Elective)
CS6525 Internship in Generative AI (6 credits, GAI Stream Elective)
CS6540 Internship in Generative AI (3 credits, GAI Stream Elective)
Trustworthy AI (TAI) Stream
CS5495 Explainable AI (TAI Stream Core)
CS5297 Topics in AI Security (TAI Stream Core)
CS6526 Project in Trustworthy AI (6 credits, TAI Stream Elective)
CS6527 Internship in Trustworthy AI (6 credits, TAI Stream Elective)
CS6541 Internship in Trustworthy AI (3 credits, TAI Stream Elective)
Other Group I Electives
CS6528 Internship in Artificial Intelligence (6 credits)
CS6542 Internship in Artificial Intelligence (3 credits)
CS6529 Project in Artificial Intelligence (6 credits)
Group II Electives
CS5187 Vision and Image
CS5487 Machine Learning: Principles and Practice
CS6187 Vision and Language
CS6487 Topics in Machine Learning
CS6535 Guided Study in Artificial Intelligence
CS6491 Topics in Optimization and its Applications in Computer Science
More information:
- All the Project and Internship courses are mutually exclusive.
- Students must take 12 credits before taking a Project course.
- Students may only take the Internship course in their 2nd year of study, and after completing at least 22 credits.
- Students may only take up to 3 courses in Group II electives.
You should check your application result online via your application account from time to time by accessing the account with the electronic ID and password created at the time of your application.