Master of Science in Artificial Intelligence for Executive Professionals [MSc(AIEP)] | Academy for Applied Policy Studies and Education Futures

Programme Code

One-Year (English-medium instruction) Full-time / A1M120

Two-Year (English-medium instruction) Part-time / C2M049*

One-Year (Chinese-medium instruction) Full-time / A1M140

Two-Year (Chinese-medium instruction) Part-time / C2M063*

Programme Leader

Professor KONG Siu Cheung

Enquiry (Admission)

acadmission@eduhk.hk

Enquiry (Programme)

aiep@eduhk.hk

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

Core Courses

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 natural language processing (NLP), neural networks, convolutional neural network (CNNs), and recurrent neural network (RNNs), generative models like Generative adversarial network (GANs) and autoencoders, and other advanced architectures such as graph neural networks and transformers. The course will also equip students with skills such as importing existing python modules (e.g. scikit-learn, numpy and pandas) for problem-solving. Practical applications in image and speech recognition are highlighted. The course allows students to work in groups analyzing AI applications in the real-life context. It also will introduce business planning for the use of AI systems in complex organization settings considering factors influencing their development and deployment.

Artificial Intelligence Technologies and Engineering

Focusing on the practical application of AI, this course covers essential AI technologies such as API integration in AI systems, fine-tuning of pre-trained models, in depth understanding and development of multimodal large language models (mLLMs). Programming lanaguges such as Python, machine learning repositories such as Hugging Face, and open-source chatbot development frameworks such as FlowiseAI. This course will also address understanding organisational contexts, stakeholder engagement, strategy development, and business planning in deploying these AI technologies and engineering. The course is designed to provide both theoretical and practical experiences with these AI tools and platforms, ensuring students can implement AI solutions in complex organisational contexts.

Humanities and Artificial Intelligence

This course provides a foundational understanding of the key features of both human and artificial intelligence. The curriculum offers an analysis of the relationship between human and artificial intelligence, drawing from both Western and Eastern philosophical perspectives spanning 3,000 years. It explores the connection between quantum computing, neuroscience and AI. Additionally, it examines how AI can support, rather than endanger, human endeavors. It will then address ethical considerations and promote the development of valuable AI practices that are useful in diverse disciplines and contexts. Finally, the course will discuss developing opportunities, launching start-ups, formulating growth strategies, and understanding financing and profitability in leadership and entrepreneurship. Case studies from diverse organisations will be discussed.

Contemporary Issues on Artificial Intelligence Technologies

This course is structured to address the most current and advanced topics in the field of artificial intelligence, with a specific focus on edged and distributed computing, and quantum computing. 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. Exploration of distributed systems in AI, including cloud computing and edge computing, discussing the potential for integrating quantum computing with distributed systems to address complex AI challenges, and examination of the ethical considerations and practical challenges associated with implementing advanced computing technologies in AI will be covered. Case studies from diverse organizations will be discussed.

Elective Courses

Data Science

The course covers data science with simple programming. 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. This course aims to provide a board understanding of different algorithms to equip students to have a good understanding of data science. An overview of data analysis will also be taught in this course as well as recent challenges in data science. Case studies from diverse organizations will be discussed.

Spatial Intelligence

This course explores the basic idea of spatial intelligence and spatial awareness in AI, and introduces fundamental constituent components, including AI perception (such as depth sensing), spatial data interpretation, spatial planning and object manipulation. Through real-life examples, the course will help students analyse the application of 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 AI governance, examining current and emerging policies and regulations at both national and international levels. Case studies of security incidents from diverse organizations will be discussed. Implications of case studies on policy in AI for organizational change and diffusion of innovation will be explored.

Trends in Artificial Intelligence at Workplace and at Home

The course provides a broad survey of advanced AI concepts and technologies including symbolic and sub-symbolic, with a particular emphasis on their transformative potential across various sectors. It aims to provide students with a comprehensive overview of cutting-edge AI concepts and their transformative potential across diverse sectors, including healthcare, education, entertainment, industry, tourism, and finance. For example, in education, although AI-driven tools for supportive reflective writing or automated essay scoring are commonly used, there remains an open discussion about using these tools directly for learning and teaching or as resources for critical analysis by students. Students will engage with topics such as the latest advancements in machine learning, the integration of AI in organisations, the ethical considerations and societal impacts of AI. Students will be engaged in a detailed analysis of the chosen trend’s current state, its expected evolution, and societal impacts. This course aims to equip students not only with knowledge of current AI trends but also with the foresight to anticipate and navigate future developments in the field.

Project Courses

Project I: Developing a Chatbot for Professionals

In this project, students will be working in groups to develop a professional chatbot tailored for a specific organizational context such as healthcare, law, education, finance, domestic and/or customer service. This project will include data model inferencing, building professional chatbot, and importing existing python modules for problem-solving. The goal is to create a professional chatbot that understands and responds effectively to organisation-specific inquiries, thereby enhancing efficiency and user experience within that context. The course will touch on advanced chat flows, such as multi-agent flows. It also will introduce the Agile development approach for planning the use of AI systems in complex organisation settings. The course will use Scrum as an example to illustrate project development.

Project II: Deploying Personal LLMs / ELMs

This course will include data model deploying, making use of robots for problem-solving, programming languages such as Python, machine learning repositories and open source chatbot development frameworks. Students will individually or in a group deploy multimodal large language models (mLLMs), robotic solutions and data analytics with a focus on customization for organisational and/or personal use. The project involves setting up the models and solutions tuning it to specific needs. This course will consider organisational contexts, stakeholder engagement, strategy development, and business planning in deploying these AI technologies. The course is designed to provide hands-on experience with AI tools and platforms, ensuring students can implement AI solutions effectively in complex organisational contexts.

Medium of Instruction

English-medium instruction: Program Code A1M120 / C2M049

English (supplemented with Putonghua / Cantonese)

Chinese-medium instruction: Program Code A1M140 / C2M063

Chinese (mainly Putonghua) supplemented with English

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

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.

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

English-medium instruction: Program Code A1M120 / C2M049

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.

Chinese-medium instruction: Program Code A1M140 / C2M063

Applicants from institutions where English is not the medium of instruction are required to demonstrate English proficiency that meets the programme’s established standards. Priority will be given to applicants who have achieved scores in the following recognised English proficiency tests:
i. Overall score of IELTS 5.5 (academic version)^#;
ii. TOEFL score of 59 (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

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.

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