Programme Code
One-Year Full-time / A1M120
Two-Year Part-time / C2M049*
Programme Leader
Professor KONG Siu Cheung
Enquiry (Admission)
Enquiry (Programme)
2948 8551
Introduction
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 MSc(AIEP) to become a leader who leverages artificial intelligence to innovate and MAKE CHANGES.
LEARN MORE
Programme Highlights
- First master programme to offer a focused AI education for executives
- Integration of Theory and Practice
- Integrate AI into careers
* For information on whether a non-local student can study a full-time or part-time programme, please refer to Taught Postgraduate Programmes - FAQs webpage.
According to the Education Bureau (EDB), definition of local and non-local applicants is as listed here.
To make direct enquiries on the definition of non-local students, please contact EDB (Email: edbinfo@edb.gov.hk / Fax: (852) 2804 6499).
Disclaimer
The University is committed to upholding the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC. Individuals who wish to apply for qualification certification in Chinese Mainland after graduation should contact the CSCSE (website: https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html) directly for updated details and confirmation. The certification in Chinese Mainland 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 Chinese Mainland or any other professional qualification or license outside Hong Kong.
In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decision of the University shall be final.
Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
EdUHK, has not collaborated with any agency in Chinese Mainland or Hong Kong on admission, and does not encourage students to entrust their applications to any third-party agents and we always contact applicants directly on updates regarding the applications. You must complete and submit your own application via the EdUHK online admissions system and provide your own personal and contact details. Please refer to the official EdUHK channels, such as programme websites and the admissions system, for the required information to complete your application.
Important Notes for Students from Chinese Mainland on Overseas Credential Evaluation (國(境)外學歷學位認證)
- 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 Chinese Mainland 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 Chinese Mainland 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 Chinese Mainland 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
Programme Aims
The Programme aims to:
- Develop professionals / educators to leverage the latest AI innovations to improve decision-making and operational efficiency in their organisations, 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.
Prospective Students
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.
Programme Structure
The programme comprises 24 credit points, including four core courses (12 cps), 2 project courses (6 cps) and 2 elective courses (6 cps). Each course carries three credit points. Participants can take one year (full-time) or two years (part-time) to complete the whole programme.
Core courses | 12 cps |
| Elective courses | 6 cps |
Project course | 6 cps |
Total | 24 cps |
Programme Curriculum
Type | Course Title | Credit Points (cps) |
| Core course | Foundation of Artificial Intelligence | 3 |
| Core course | Artificial Intelligence Technologies and Engineering | 3 |
| Core course | Humanities and Artificial Intelligence | 3 |
| Core course | Contemporary Issues on Artificial Intelligence Technologies | 3 |
| Elective course | Data Science | 3 |
| Elective course | Spatial Intelligence | 3 |
| Elective course | Privacy, Security, and Policy | 3 |
| Elective course | Trends in Artificial Intelligence at Workplace and at Home | 3 |
| Project course | Project I: Developing a Chatbot for Professionals | 3 |
| Project course | Project II: Deploying Personal LLMs / ELMs | 3 |
Course Details
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.
Medium of Instruction
English (supplemented with Putonghua / Cantonese)
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 / West Kowloon Study Centre / Kowloon Tong Satellite Study Centre and/or other locations as decided by the University.
Career Prospects
Graduates may pursue the following careers:
- Chief AI Officer
- AI and Machine Learning Specialist
- Academic/Research in AI
Disclaimer
The University is committed to upholding the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC. Individuals who wish to apply for qualification certification in Chinese Mainland after graduation should contact the CSCSE (website: https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html) directly for updated details and confirmation. The certification in Chinese Mainland 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 Chinese Mainland or any other professional qualification or license outside Hong Kong.
In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decision of the University shall be final.
Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
EdUHK, has not collaborated with any agency in Chinese Mainland or Hong Kong on admission, and does not encourage students to entrust their applications to any third-party agents and we always contact applicants directly on updates regarding the applications. You must complete and submit your own application via the EdUHK online admissions system and provide your own personal and contact details. Please refer to the official EdUHK channels, such as programme websites and the admissions system, for the required information to complete your application.
Important Notes for Students from Chinese Mainland on Overseas Credential Evaluation (國(境)外學歷學位認證)
- 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 Chinese Mainland 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 Chinese Mainland 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 Chinese Mainland 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
Entrance Requirements (for 2026/27 Admission)
1. General Requirements
- Recognised Bachelor's Degree or other equivalent qualifications.
Applicants who obtained degrees from universities in Chinese Mainland are required to provide:
- Degree Certificate(學位證書-中文原件掃描)and Online Verification Report of Higher Education Degree Certificate(學位在線驗證報告)issued by the CHSI(學信網)with a validity period of six months;
- Graduation Certificate(畢業證書-中文原件掃描)and Online Verification Report of Higher Education Qualification Certificate(學歷證書電子註冊備案表)issued by the CHSI(學信網)with a validity period of six months; and
- Final Transcript(最終成績單-中文原件掃描).
2. English Language Proficiency Requirements
- Applicants from institutions where English is not the medium of instruction are required to demonstrate English proficiency that meets the programme’s established standards. They should have attained scores in one of the following recognised English proficiency tests as indicated:
i. Overall score of IELTS 6.0 (academic version)#;
ii. TOEFL score of 80 (internet-based test)#;
iii. Band 6 in the College English Test (CET)# with a total score of 430;
iv. Grade C or above in GCSE/GCE O-Level English; or
v. Other equivalent qualifications on a case-by-case basis.
# The test should be taken in test centres and the result should be valid within two years. TOEFL Home Editions, TOEFL MyBest Score, IELTS Indicator, IELTS Online, IELTS One Skill Retake, Duolingo and National Postgraduate Entrance Examination (全國碩士研究生招生考試) are NOT acceptable.
3. Interview
- Shortlisted applicants may be required to attend an interview.
Tuition Fee
This programme is offered on a self-financed basis. The tuition fee (2026/27 cohort) 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.
For information on whether a non-local student can study a full-time or part-time programme, please refer to Taught Postgraduate Programmes - FAQs webpage.
According to the Education Bureau (EDB), definition of local and non-local applicants is as listed here.
To make direct enquiries on the definition of non-local students, please contact EDB (Email: edbinfo@edb.gov.hk / Fax: (852) 2804 6499).
AAPSEF Entrance Scholarship
Starting from the 2026/27 academic year, the Academy for Applied Policy Studies and Education Futures will offer a one-off entrance scholarship (HK$30,000) to local and non-local students with outstanding academic and non-academic achievements in its taught postgraduate programmes.
Places are limited, please visit the Academy’s website for details: https://aapsef.eduhk.hk/study/aapsef-entrance-scholarship
Hong Kong Future Talents Scholarship Scheme for Advanced Studies (FTSS)
The Government introduced the Hong Kong Future Talents Scholarship Scheme for Advanced Studies (FTSS) starting from the 2025/26 academic year to attract more local students to pursue advanced studies in priority areas conducive to the development of Hong Kong and expand the pool of high-calibre talents for various domains, while further promoting the development of our city into an international hub for post-secondary education. More details of the FTSS are available at the UGC’s website.
Application and Enquiries
Admission: acadmission@eduhk.hk
Programme: 2948 8551, aiep@eduhk.hk
Interested applicants please submit your application via EdUHK Online Application Systems. Prior to your submission, please visit https://www.eduhk.hk/acadprog/postgrad/index.html for detailed application and admission information.
Disclaimer
The University is committed to upholding the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC. Individuals who wish to apply for qualification certification in Chinese Mainland after graduation should contact the CSCSE (website: https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html) directly for updated details and confirmation. The certification in Chinese Mainland 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 Chinese Mainland or any other professional qualification or license outside Hong Kong.
In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decision of the University shall be final.
Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
EdUHK, has not collaborated with any agency in Chinese Mainland or Hong Kong on admission, and does not encourage students to entrust their applications to any third-party agents and we always contact applicants directly on updates regarding the applications. You must complete and submit your own application via the EdUHK online admissions system and provide your own personal and contact details. Please refer to the official EdUHK channels, such as programme websites and the admissions system, for the required information to complete your application.
Important Notes for Students from Chinese Mainland on Overseas Credential Evaluation (國(境)外學歷學位認證)
- 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 Chinese Mainland 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 Chinese Mainland 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 Chinese Mainland 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


