Introduction
The development of artificial intelligence will profoundly affect and change human society. In the face of new opportunities in the field of artificial intelligence, this program aims at the frontiers of artificial intelligence science and technology, and develops “AI+”.
Including AI “+ finance”, “+ business”, “+ health care” and other interdisciplinary, aimed at cultivating composite and innovative talents with excellent theoretical and practical capabilities.
Students in this program will master the core basic knowledge of AI, such as machine learning, data mining, knowledge representation and processing, AI security and privacy, etc. They will also be able to skillfully use computer vision, natural language processing, automatic planning and related technologies, and have the ability to engage in the field of computers and the Internet, as well as the related AI application industry in scientific research, application development, technology management and consulting and other work.
Program Overview
General Information
Award Title
Bachelor of Engineering in Artificial Intelligence
Mode of Study
Full-time
Teaching Language
English
Duration
4 years
Tuition Fee
RMB 50,000-100,000 per academic year
Fees and Scholarships
Offering Unit
Artificial Intelligence Thrust, Information Hub
Program Director
Xiaowen CHU, Professor of Artificial Intelligence Thrust
Program Coordinator
Sihong XIE, Associate Professor of Artificial Intelligence Thrust
Intended Learning Outcomes
Analyze AI and computing problems in different areas of science, technology and the society, and apply AI principles to produce solutions.
Design, implement, and evaluate algorithms to solve AI models.
Communicate effectively in a variety of professional contexts, including both lay and expert audiences.
Recognize professional responsibilities and make informed and independent judgments through solving practical AI models based on legal and ethical principles.
Function effectively as a team member or as a team leader in activities appropriate to the program’s discipline.
Job Prospect
With the continuous development of the Internet, big data, cloud computing, the IoT and other technologies, artificial intelligence is leading technological innovation and industrial change, with broad prospects for development and application. At present, China's demand for AI talents has exceeded that of the United States, a major AI country, and there is an extreme shortage of talents. HKUST (Guangzhou) has seized this opportunity, based on the Greater Bay Area, aiming to cultivate high-quality AI talents for the whole country and even the world. The employment prospects of AI graduates will be very broad, and the fields can involve smart manufacturing, business intelligence, smart healthcare, smart city and so on.
Curriculum Requirements
120 credits are required for BEng in Artificial Intelligence:
- 30 credits for University Common Core Courses
- 85-86 credits for Major Requirements, including:
- 21-22 credits for Fundamental Courses
- 40 credits for Major Required Courses
- 24 credits for Major Elective Courses
- Free Elective Courses can be used to fill in any shortfall in total credits
Explore More About BEng in Artificial Intelligence Links to 本科课程网站
Curriculum Requirements: BEng in Artificial Intelligence
Student Pathway Example 1
AI Thrust UG Course Schedule
The course schedule displayed on this page constitutes a provisional plan. Course-related details—such as lecture times, classroom allocations, and instructor—may be subject to change due to teaching adjustments, resource reallocations, or other academic arrangements.
Students are advised to regularly monitor the latest announcements on SIS and the Class Schedule and Quota portal, and to verify course information prior to registration. Should you require assistance, please contact the Academic Affairs Office or the Academic Support Centre.
Thank you for your understanding and cooperation.
2025/26 Spring Term
| Course Code and Course Title | Instructors | Credit(s) |
|---|---|---|
| AIAA 1010 - Academic Orientation for AI Students | BAI, Ge CHEN, Huangxun CHU, Xiaowen KAN, Ge Lin LIANG, Junwei QIN, Chengwei RIKOS, APOSTOLOS WANG, Xin WANG, Zeyu XIE, Sihong XIE, Zeke YANG, Menglin YUE, Yutao | 1 credit |
| AIAA 2205 - Introduction to Artificial Intelligence | LIU, Li CHEN, Jintai | 3 credits |
| AIAA 2711 - Mathematics for AI | ZHONG, Bingzhuo RIKOS, APOSTOLOS | 3 credits |
| AIAA 3053 - Reinforcement Learning: Principles and Methods | RIKOS, APOSTOLOS | 3 credits |
| AIAA 3201 - Introduction to Computer Vision | CHEN, Yingcong WANG, Hao | 3 credits |
| AIAA 4051 - Introduction to Natural Language Processing | XIE, Sihong | 3 credits |
| AIAA 4641 - Social Information Network Analysis and Engineering | DAI, Enyan | 3 credits |
| AIAA 4711 - Introduction to Advanced Algorithmic Techniques | BAI, Ge | 3 credits |
UG Course Syllabus
2024/2025 Fall Term
| Course Code and Course Title | Instructors | Course Syllabus |
|---|---|---|
| AIAA 1010 - Academic Orientation for AI Students | CHEN, Lei; CHEN, Yingcong; DAI, Enyan; HU, Xuming; LIANG, Junwei; LIU, Li; RIKOS, APOSTOLOS; SUN, Ying; WANG, Hao; WANG, Xin; XIE, Sihong; XIONG, Hui; YUE, Yutao; ZHONG, Bingzhuo | |
| AIAA 2205 - Introduction to Artificial Intelligence | XIONG, Hui, CHEN, Yingcong, LIANG, Junwei |
2024/2025 Spring Term
| Course Code and Course Title | Instructors | Course Syllabus |
|---|---|---|
| AIAA 1010 - Academic Orientation for AI Students | CHEN, Jintai; CHEN, Yingcong; DAI, Enyan; HU, Xuming; LIANG, Junwei; LIU, Li; RIKOS, APOSTOLOS; SUN, Ying; WANG, Hao; WANG, Xin; XIE, Sihong; XIE, Zeke; YUE, Yutao | |
| AIAA 2290 - Ethics, Privacy and Security in Artificial Intelligence | HU, Xuming | |
| AIAA 2711 - Mathematics for AI | ZHONG, Bingzhuo |
2025/2026 Fall Term
| Course Code and Course Title | Instructors | Course Syllabus |
|---|---|---|
| AIAA 1010 - Academic Orientation for AI Students | W1-Enyan Dai W2-Bingzhuo Zhong W3-Xin Wang W4-Sihong Xie W5-Menglin Yang W6-Yingcong Chen W7-Junwei Liang W8-Changhao Chen W9-Zeke Xie W10-Yutao Yue W11-Li LIU W12-Xuming Hu W13-Apostolos Rikos | |
| AIAA 2205 - Introduction to Artificial Intelligence | L01-LIU, Li L02-DAI, Enyan | PDF |
| AIAA 2290 - Ethics, Privacy and Security in Artificial Intelligence | HU, Xuming | |
| AIAA 3102 - Python Programming for Artificial Intelligence | L01-QIN, Chengwei L02-SHU, Yao | PDF |
| AIAA 3111 - Introduction to Data Mining | L01-CHEN, Jintai L02-LIU, Hao | PDF |
| AIAA 3225 - Learning and Optimization for Artificial Intelligence | GONG, Zijun; WANG, Xin | |
| AIAA 4220 - Introduction to Embodied AI | L01-LIANG, Junwei L02-CHEN, Changhao | PDF |
2025/26 Spring Term
| Course Code and Course Title | Instructors | Course Syllabus |
|---|---|---|
| AIAA 1010 - Academic Orientation for AI Students | BAI, Ge CHEN, Huangxun CHU, Xiaowen KAN, Ge Lin LIANG, Junwei QIN, Chengwei RIKOS, APOSTOLOS WANG, Xin WANG, Zeyu XIE, Sihong XIE, Zeke YANG, Menglin YUE, Yutao | |
| AIAA 2205 - Introduction to Artificial Intelligence | L01-LIU, Li L02-CHEN, Jintai | |
| AIAA 2711 - Mathematics for AI | L01-ZHONG, Bingzhuo L02-RIKOS, APOSTOLOS | PDF |
| AIAA 3053 - Reinforcement Learning: Principles and Methods | RIKOS, APOSTOLOS | |
| AIAA 3201 - Introduction to Computer Vision | L01-CHEN, Yingcong L02-WANG, Hao | PDF |
| AIAA 4051 - Introduction to Natural Language Processing | XIE, Sihong | |
| AIAA 4641 - Social Information Network Analysis and Engineering | DAI, Enyan | |
| AIAA 4711 - Introduction to Advanced Algorithmic Techniques | BAI, Ge |