課程編號
1年 全日制 / A1M120
2年 兼讀制 / C2M049
課程主任
Professor KONG Siu Cheung
查詢（入學）
查詢（課程）
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.
免責聲明
本校維持其課程的教育質素及水準。本校受大學教育資助委員會（教資會） 資助，並作為九間具備自行評審資歷資格的院校之一。受教資會資助的各大學提供所有課程的教學經驗均受教資會轄下質素保證局之監管。 如個別人士欲於畢業後申請內地的學歷認證，應直接聯絡中國教育部留學服務中心以獲得最新資訊及確認 （詳情可參閱中國留學網： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有別於本校於香港頒授的學歷，內地的學歷認證程序為獨立運作。為免生歧義，本校對於個別畢業生是否獲得內地之學歷認證或其他香港境外的專業 資格或牌照之學歷認證等事宜並不提供保證。
如中英文版本資料信息不一致，又或於課程內容詮釋上出現歧義，則以本校之最後決定作準。
我們已盡力確保本網站所提供之資訊的準確性。由於課程資訊可能因情況之轉變而時有變動，大學保留在其認為合適及在不事先通知的情況下修改本網站中任何資訊的權利。若因使用、誤用或依據本網站提供的資訊而導致的任何損失或損害，大學概不負上法律責任。
大學保留一切修訂課程開辦及其任何有關事項的權利，如有需要，可隨時酌情調整課程（包括但不限於課程內容和授課方式等）。在不限制大學修訂課程和開辦課程的廣泛酌情權的前提下，考慮到教學人員編制、報讀人數、實際具體安排、課程內容變動以及其他情況的轉 變等因素，大學可能需要更改課程。已繳學費將不予退還。
香港教育大學（教大）從未與內地或香港的中介機構合作招生，亦不鼓勵學生委託第三方代理處理其申請。申請人須直接通過教大的網上入學申請系統提交入學申請，並提供個人資料和聯繫方式。有關申請的最新資訊， 我們會直接與申請人聯絡。請參閱香港教育大學的官方渠道，包括課程網站及入學申請系統，以了解所需資料並完成申請程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (國(境)外學歷學位認證)
(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) 中國(教育部) 留學服務中心 (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 | ||
免責聲明
本校維持其課程的教育質素及水準。本校受大學教育資助委員會（教資會） 資助，並作為九間具備自行評審資歷資格的院校之一。受教資會資助的各大學提供所有課程的教學經驗均受教資會轄下質素保證局之監管。 如個別人士欲於畢業後申請內地的學歷認證，應直接聯絡中國教育部留學服務中心以獲得最新資訊及確認 （詳情可參閱中國留學網： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有別於本校於香港頒授的學歷，內地的學歷認證程序為獨立運作。為免生歧義，本校對於個別畢業生是否獲得內地之學歷認證或其他香港境外的專業 資格或牌照之學歷認證等事宜並不提供保證。
如中英文版本資料信息不一致，又或於課程內容詮釋上出現歧義，則以本校之最後決定作準。
我們已盡力確保本網站所提供之資訊的準確性。由於課程資訊可能因情況之轉變而時有變動，大學保留在其認為合適及在不事先通知的情況下修改本網站中任何資訊的權利。若因使用、誤用或依據本網站提供的資訊而導致的任何損失或損害，大學概不負上法律責任。
大學保留一切修訂課程開辦及其任何有關事項的權利，如有需要，可隨時酌情調整課程（包括但不限於課程內容和授課方式等）。在不限制大學修訂課程和開辦課程的廣泛酌情權的前提下，考慮到教學人員編制、報讀人數、實際具體安排、課程內容變動以及其他情況的轉 變等因素，大學可能需要更改課程。已繳學費將不予退還。
香港教育大學（教大）從未與內地或香港的中介機構合作招生，亦不鼓勵學生委託第三方代理處理其申請。申請人須直接通過教大的網上入學申請系統提交入學申請，並提供個人資料和聯繫方式。有關申請的最新資訊， 我們會直接與申請人聯絡。請參閱香港教育大學的官方渠道，包括課程網站及入學申請系統，以了解所需資料並完成申請程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (國(境)外學歷學位認證)
(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) 中國(教育部) 留學服務中心 (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
免責聲明
本校維持其課程的教育質素及水準。本校受大學教育資助委員會（教資會） 資助，並作為九間具備自行評審資歷資格的院校之一。受教資會資助的各大學提供所有課程的教學經驗均受教資會轄下質素保證局之監管。 如個別人士欲於畢業後申請內地的學歷認證，應直接聯絡中國教育部留學服務中心以獲得最新資訊及確認 （詳情可參閱中國留學網： https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html）。有別於本校於香港頒授的學歷，內地的學歷認證程序為獨立運作。為免生歧義，本校對於個別畢業生是否獲得內地之學歷認證或其他香港境外的專業 資格或牌照之學歷認證等事宜並不提供保證。
如中英文版本資料信息不一致，又或於課程內容詮釋上出現歧義，則以本校之最後決定作準。
我們已盡力確保本網站所提供之資訊的準確性。由於課程資訊可能因情況之轉變而時有變動，大學保留在其認為合適及在不事先通知的情況下修改本網站中任何資訊的權利。若因使用、誤用或依據本網站提供的資訊而導致的任何損失或損害，大學概不負上法律責任。
大學保留一切修訂課程開辦及其任何有關事項的權利，如有需要，可隨時酌情調整課程（包括但不限於課程內容和授課方式等）。在不限制大學修訂課程和開辦課程的廣泛酌情權的前提下，考慮到教學人員編制、報讀人數、實際具體安排、課程內容變動以及其他情況的轉 變等因素，大學可能需要更改課程。已繳學費將不予退還。
香港教育大學（教大）從未與內地或香港的中介機構合作招生，亦不鼓勵學生委託第三方代理處理其申請。申請人須直接通過教大的網上入學申請系統提交入學申請，並提供個人資料和聯繫方式。有關申請的最新資訊， 我們會直接與申請人聯絡。請參閱香港教育大學的官方渠道，包括課程網站及入學申請系統，以了解所需資料並完成申請程序。
Important Notes for Students from Mainland China on Overseas Credential Evaluation (國(境)外學歷學位認證)
(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) 中國(教育部) 留學服務中心 (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