课程编号
1年 全日制 / A1M120
2年 兼读制 / C2M049
课程主任
Professor KONG Siu Cheung
查询（入学）
查询（课程）
2948 8551
[English version only]
Programme Aims
The Master of Science in Artificial Intelligence for Executive Professionals (MSc AIEP) in Hong Kong is designed for leaders with passion to integrate artificial intelligence in diverse organisation contexts. This programme emphasises leadership for innovation, equipping participants with knowledge to harness artificial intelligence effectively in organisation contexts. With strong technical support from the teaching team, participants can confidently engage in artificial intelligence projects. The programme would provide ample opportunities for participants to reflect deeply on how to position themselves as humans to work productively with artificial intelligence.
Join the MSc AIEP to become a leader who leverages artificial intelligence to innovate and MAKE CHANGES.
Programme Objectives
- Develop professionals / educators to leverage the latest AI innovations to improve decision-making and operational efficiency in their organizations, and raise the bar and break the career ceiling.
- Develop professionals / educators to manage AI-driven transformations and integration of AI in their respective fields.
- Enhance decision-making capabilities with data-driven insights and AI-driven analytics.
- Develop participants’ capabilities to guide younger generation to strive for excellence in the AI-permeated society.
免责声明
本校维持其课程的教育质素及水准。本校受大学教育资助委员会（教资会） 资助，并作为九间具备自行评审资历资格的院校之一。受教资会资助的各大学提供所有课程的教学经验均受教资会辖下质素保证局之监管。 如个别人士欲于毕业后申请内地的学历认证，应直接联络中国教育部留学服务中心以获得最新资讯及确认 （详情可参阅中国留学网： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有别于本校于香港颁授的学历，内地的学历认证程序为独立运作。为免生歧义，本校对于个别毕业生是否获得内地之学历认证或其他香港境外的专业 资格或牌照之学历认证等事宜并不提供保证。
如中英文版本资料信息不一致，又或于课程内容诠释上出现歧义，则以本校之最后决定作准。
我们已尽力确保本网站所提供之资讯的准确性。由于课程资讯可能因情况之转变而时有变动，大学保留在其认为合适及在不事先通知的情况下修改本网站中任何资讯的权利。若因使用、误用或依据本网站提供的资讯而导致的任何损失或损害，大学概不负上法律责任。
大学保留一切修订课程开办及其任何有关事项的权利，如有需要，可随时酌情调整课程（包括但不限于课程内容和授课方式等）。在不限制大学修订课程和开办课程的广泛酌情权的前提下，考虑到教学人员编制、报读人数、实际具体安排、课程内容变动以及其他情况的转 变等因素，大学可能需要更改课程。已缴学费将不予退还。
香港教育大学（教大）从未与内地或香港的中介机构合作招生，亦不鼓励学生委托第三方代理处理其申请。申请人须直接通过教大的网上入学申请系统提交入学申请，并提供个人资料和联系方式。有关申请的最新资讯， 我们会直接与申请人联络。请参阅香港教育大学的官方渠道，包括课程网站及入学申请系统，以了解所需资料并完成申请程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (国(境)外学历学位认证)
(只供英文版)
- Students who have fulfilled the programme requirements will be conferred the degree upon the approval of the University's Academic Board. The University bears no responsibility for the evaluation of its degrees outside of Hong Kong. Students are advised to consult with the relevant authority(ies) for the prevailing rules/regulations.
- Individuals who would seek qualification certification in Mainland China after graduation should contact the Chinese Service Centre for Scholarly Exchange (CSCSE) 中国(教育部) 留学服务中心 (https://www.cscse.edu.cn) for updated details.
- The certification in Mainland China is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate's qualification certification or recognition in Mainland China or any other professional qualification or license outside Hong Kong.
- CSCSE takes a very prudent approach in evaluating each application, including the students' residential period in Hong Kong during the entire study period. When evaluating graduates' credentials, the full border entry and exit records of individual applicants will be examined.
- Students who would pursue credential recognition should be aware that short stays in Hong Kong during the study period may not fulfil the CSCSE residential requirements, leading to possible uncertainty and risks to their credential recognition.
- Students are seriously advised to consider the above when making personal plans, such as accommodation and travel plans from Hong Kong, etc. and make necessary arrangements where appropriate.
- It is the responsibility of the students to be familiar with and comply with the University regulations and guidelines governing the Taught Postgraduate Programmes. Students should refer to the Graduate School website for the General Academic Regulations and the Code of Practice for Taught Postgraduate Programmes for details.
- Students should consult with CSCSE if they have any enquiries.
1 June 2025
[English version only]
Programme Features
By being the first to offer such a focused AI education for executives, the programme sets a new standard in professional education, preparing leaders not just to adapt to a changing world, but to shape it. Graduates will leave the programme ready to address complex challenges and contribute significantly to innovation and growth in their industries.
- The Programme emphasises the integration of theory and practice. The Programme not only teaches technical skills but also focuses on strategic thinking and leadership in the context of AI implementation. Graduates will be prepared to lead AI projects and drive innovation within their organizations.
- The Programme is specifically designed for executive professionals / educators, this programme emphasizes practical skills and real-world applications of AI. It is structured to be accessible to individuals without a deep background in computer science, making it ideal for professionals across various sectors looking to integrate AI into their operations.
- The Programme is one of the first in Hong Kong to target participants from all walks of life to stay competent in their careers in the era of AI.
Programme Structure
Foundation of Artificial Intelligence
The course explores the basic and advanced concepts of machine learning, including supervised and unsupervised learning, deep learning with a focus on neural networks, convolutional neural network (CNNs), and recurrent neural network (RNNs), generative models like Generative adversarial network (GANs) and autoencoders, and newer architectures such as graph neural networks and transformers. Practical applications in image and speech recognition are highlighted.
Artificial Intelligence Technologies
Focusing on the practical application of AI, this course covers essential AI technologies such as natural language processing (NLP), API integration in AI systems, fine-tuning of pre-trained models, development of chatbots, and exploration of embedded learning models. The course is designed to provide hands-on experience with AI tools and platforms, ensuring students can implement AI solutions effectively.
Humanities and Artificial Intelligence
This course provides a foundational understanding of the key features of both human and artificial intelligence. Students will explore human cognitive processes as interdependent functions that have evolved and adapted to natural physical and social environments. The course delves into the multi-layered aspects of human intelligence, including learning, reasoning, and decision-making, highlighting their unique strengths and weaknesses compared to current AI technologies. Additionally, it examines how AI can support, rather than endanger, human endeavors.
The curriculum offers an in-depth analysis of the complex relationship between human and artificial intelligence, drawing from both Western and Chinese philosophical perspectives spanning 3,000 years. A distinctive feature of this course is its integration of basic neuroscience principles and machine learning. This course will also addresses ethical considerations and promotes the development of responsible AI practices that are mindful of diverse disciplines and contexts.
Contemporary Issues on Artificial Intelligence Technologies
This course is structured to address the most current and advanced topics in the field of artificial intelligence. These areas represent the frontier of AI technology, where significant breakthroughs are shaping the future possibilities of AI applications. The course is designed not only to provide students with knowledge of these cutting-edge technologies but also to develop their ability to critically analyze and evaluate the impact and potential of such innovations. Possible topics for exploration are distributed systems in AI with concepts like cloud computing and edge computing, and the integration of quantum computing with distributed systems to address complex AI challenges. Discussion also include the examination of the ethical considerations and practical challenges associated with implementing advanced computing technologies in AI.
Data Science
This course covers a variety of data structures and various algorithms, including decision trees, linear regression, classification algorithms, and clustering algorithms, to give students an overview of data science.
Spatial Intelligence
This course explores the basic idea of spatial intelligence and spatial awareness in AI. The course introduces fundamental components of spatial intelligence, including AI perception (such as depth sensing), spatial data interpretation, spatial planning and object manipulation. The course will help students understand spatial intelligence across various domains such as robotics, Augmented Reality (AR), Virtual Reality (VR), Geographic Information Systems (GIS), and navigation systems.
Privacy, Security, and Policy
This course centers on the pivotal aspects of privacy, security, and policy in artificial intelligence. Students will explore the intricate balance between innovative AI development and the ethical, legal, and social implications that accompany these advancements. The course includes in-depth discussions on data privacy, highlighting how AI impacts data collection, storage, and usage while considering the privacy of individuals. Security aspects cover the vulnerabilities and threats inherent in AI systems and strategies to mitigate such risks. The course will also discuss about the AI governance, examining current and emerging policies and regulations at both national and international levels.
Trends in Artificial Intelligence at Workplace and at Home
The course provides a broad survey of advanced AI concepts and technologies, with a particular emphasis on their transformative potential across various sectors like healthcare, education, and finance. Students will engage with topics such as the latest advancements in machine learning, the integration of AI in critical industries, the ethical considerations and societal impacts of AI, and speculative futures of AI technology. The pedagogical approach includes dynamic group discussions to debate and analyze new technologies and their implications, alongside a significant research project where students select a specific trend to explore in depth. This project culminates in a detailed analysis of the chosen trend’s current state, its expected evolution, and its potential industry and societal impacts, helping students to not only understand but also anticipate the trajectories of AI technology.
Project I: Developing a Chatbot for Professionals
In this project, students will work in groups to develop a functional chatbot tailored for a specific professional field such as healthcare, law, education, finance, or customer service. The goal is to create a chatbot that understands and responds effectively to industry-specific inquiries, thereby enhancing efficiency and user experience within that field.
Project II: Deploying Personal LLMs / ELMs
Students will individually deploy a personal large language model (LLM) or an efficient language model (ELM) with a focus on customization for personal or small-scale use. The project involves setting up the model, tuning it to specific needs or interests, and evaluating its effectiveness and usability.
Study Location
Classes in the same or different semester(s) may be scheduled on weekday daytime/evenings, weekends and/or during long holidays at the Tai Po Campus / Tseung Kwan O Study Centre / North Point Study Centre / Kowloon Tong Satellite Study Centre and/or other locations as decided by the University.
Medium of Instruction
The medium of instruction is English, supplemented with Mandarin / Cantonese.
Curriculum
| 1-Year Full-time Study Mode | |||
|---|---|---|---|
| Year | Semester | Taught Courses | Credit Points (cps) |
| 1 | 1 & 2 | Core Courses | 12 |
| Elective Courses | 6 | ||
| Project Course | 6 | ||
| Total Credit Points | 24 | ||
| 2-Year Part-time Study Mode | |||
|---|---|---|---|
| Year | Semester | Taught Courses | Credit Points (cps) |
| 1 | 1 & 2 | Core Courses | 6 |
| Elective Courses | 0/3/6 | ||
| Project Course | 3 | ||
| 2 | 1 & 2 | Core Courses | 6 |
| Elective Courses | 0/3/6 | ||
| Project Course | 3 | ||
| Total Credit Points | 24 | ||
免责声明
本校维持其课程的教育质素及水准。本校受大学教育资助委员会（教资会） 资助，并作为九间具备自行评审资历资格的院校之一。受教资会资助的各大学提供所有课程的教学经验均受教资会辖下质素保证局之监管。 如个别人士欲于毕业后申请内地的学历认证，应直接联络中国教育部留学服务中心以获得最新资讯及确认 （详情可参阅中国留学网： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有别于本校于香港颁授的学历，内地的学历认证程序为独立运作。为免生歧义，本校对于个别毕业生是否获得内地之学历认证或其他香港境外的专业 资格或牌照之学历认证等事宜并不提供保证。
如中英文版本资料信息不一致，又或于课程内容诠释上出现歧义，则以本校之最后决定作准。
我们已尽力确保本网站所提供之资讯的准确性。由于课程资讯可能因情况之转变而时有变动，大学保留在其认为合适及在不事先通知的情况下修改本网站中任何资讯的权利。若因使用、误用或依据本网站提供的资讯而导致的任何损失或损害，大学概不负上法律责任。
大学保留一切修订课程开办及其任何有关事项的权利，如有需要，可随时酌情调整课程（包括但不限于课程内容和授课方式等）。在不限制大学修订课程和开办课程的广泛酌情权的前提下，考虑到教学人员编制、报读人数、实际具体安排、课程内容变动以及其他情况的转 变等因素，大学可能需要更改课程。已缴学费将不予退还。
香港教育大学（教大）从未与内地或香港的中介机构合作招生，亦不鼓励学生委托第三方代理处理其申请。申请人须直接通过教大的网上入学申请系统提交入学申请，并提供个人资料和联系方式。有关申请的最新资讯， 我们会直接与申请人联络。请参阅香港教育大学的官方渠道，包括课程网站及入学申请系统，以了解所需资料并完成申请程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (国(境)外学历学位认证)
(只供英文版)
- Students who have fulfilled the programme requirements will be conferred the degree upon the approval of the University's Academic Board. The University bears no responsibility for the evaluation of its degrees outside of Hong Kong. Students are advised to consult with the relevant authority(ies) for the prevailing rules/regulations.
- Individuals who would seek qualification certification in Mainland China after graduation should contact the Chinese Service Centre for Scholarly Exchange (CSCSE) 中国(教育部) 留学服务中心 (https://www.cscse.edu.cn) for updated details.
- The certification in Mainland China is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate's qualification certification or recognition in Mainland China or any other professional qualification or license outside Hong Kong.
- CSCSE takes a very prudent approach in evaluating each application, including the students' residential period in Hong Kong during the entire study period. When evaluating graduates' credentials, the full border entry and exit records of individual applicants will be examined.
- Students who would pursue credential recognition should be aware that short stays in Hong Kong during the study period may not fulfil the CSCSE residential requirements, leading to possible uncertainty and risks to their credential recognition.
- Students are seriously advised to consider the above when making personal plans, such as accommodation and travel plans from Hong Kong, etc. and make necessary arrangements where appropriate.
- It is the responsibility of the students to be familiar with and comply with the University regulations and guidelines governing the Taught Postgraduate Programmes. Students should refer to the Graduate School website for the General Academic Regulations and the Code of Practice for Taught Postgraduate Programmes for details.
- Students should consult with CSCSE if they have any enquiries.
1 June 2025
[English version only]
Entrance Requirements
(a) Recognised Bachelor’s Degree or other equivalent qualifications, with at least of 2 years’ professional and/or managerial experiences. Applicants who are new graduates and have excellent academic performance may also be considered. Shortlisted applicants may be required to attend an interview.
(b) Applicants whose entrance qualification is obtained from an institution in a non-English speaking system should normally fulfil one of the following minimum English proficiency requirements:
- IELTS 6.0 (academic version)*; or
- Grade C or above in GCSE / GCE OL English; or
- TOEFL score of 80 (internet-based test)*; or
- Band 6 in the Chinese Mainland’s College English Test (CET) with a total score of 430 or above and the test result should be valid within two years; or
- Other equivalent qualifications.
*IELTS/ TOEFL should be taken in test centres, and the result should be within two years.
Tuition Fee
This programme is offered on a self-financed basis. The tuition fee is HK$198,000 for the whole programme, which is provisional and subject to adjustment. Tuition fees paid are normally not refundable or transferable.
The University reserves the right to make changes to tuition fee without prior notice.
Application and Enquiries
Interested applicants please submit your application via EdUHK Online Application Systems. Prior to your submission, please visit https://www.eduhk.hk/acadprog/postgrad.html for detailed application and admission information.
Should you have enquiries, please do not hesitate to email us at: aiep@eduhk.hk
免责声明
本校维持其课程的教育质素及水准。本校受大学教育资助委员会（教资会） 资助，并作为九间具备自行评审资历资格的院校之一。受教资会资助的各大学提供所有课程的教学经验均受教资会辖下质素保证局之监管。 如个别人士欲于毕业后申请内地的学历认证，应直接联络中国教育部留学服务中心以获得最新资讯及确认 （详情可参阅中国留学网： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有别于本校于香港颁授的学历，内地的学历认证程序为独立运作。为免生歧义，本校对于个别毕业生是否获得内地之学历认证或其他香港境外的专业 资格或牌照之学历认证等事宜并不提供保证。
如中英文版本资料信息不一致，又或于课程内容诠释上出现歧义，则以本校之最后决定作准。
我们已尽力确保本网站所提供之资讯的准确性。由于课程资讯可能因情况之转变而时有变动，大学保留在其认为合适及在不事先通知的情况下修改本网站中任何资讯的权利。若因使用、误用或依据本网站提供的资讯而导致的任何损失或损害，大学概不负上法律责任。
大学保留一切修订课程开办及其任何有关事项的权利，如有需要，可随时酌情调整课程（包括但不限于课程内容和授课方式等）。在不限制大学修订课程和开办课程的广泛酌情权的前提下，考虑到教学人员编制、报读人数、实际具体安排、课程内容变动以及其他情况的转 变等因素，大学可能需要更改课程。已缴学费将不予退还。
香港教育大学（教大）从未与内地或香港的中介机构合作招生，亦不鼓励学生委托第三方代理处理其申请。申请人须直接通过教大的网上入学申请系统提交入学申请，并提供个人资料和联系方式。有关申请的最新资讯， 我们会直接与申请人联络。请参阅香港教育大学的官方渠道，包括课程网站及入学申请系统，以了解所需资料并完成申请程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (国(境)外学历学位认证)
(只供英文版)
- Students who have fulfilled the programme requirements will be conferred the degree upon the approval of the University's Academic Board. The University bears no responsibility for the evaluation of its degrees outside of Hong Kong. Students are advised to consult with the relevant authority(ies) for the prevailing rules/regulations.
- Individuals who would seek qualification certification in Mainland China after graduation should contact the Chinese Service Centre for Scholarly Exchange (CSCSE) 中国(教育部) 留学服务中心 (https://www.cscse.edu.cn) for updated details.
- The certification in Mainland China is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate's qualification certification or recognition in Mainland China or any other professional qualification or license outside Hong Kong.
- CSCSE takes a very prudent approach in evaluating each application, including the students' residential period in Hong Kong during the entire study period. When evaluating graduates' credentials, the full border entry and exit records of individual applicants will be examined.
- Students who would pursue credential recognition should be aware that short stays in Hong Kong during the study period may not fulfil the CSCSE residential requirements, leading to possible uncertainty and risks to their credential recognition.
- Students are seriously advised to consider the above when making personal plans, such as accommodation and travel plans from Hong Kong, etc. and make necessary arrangements where appropriate.
- It is the responsibility of the students to be familiar with and comply with the University regulations and guidelines governing the Taught Postgraduate Programmes. Students should refer to the Graduate School website for the General Academic Regulations and the Code of Practice for Taught Postgraduate Programmes for details.
- Students should consult with CSCSE if they have any enquiries.
1 June 2025