Skip to main content

Master of Science in Artificial Intelligence Innovation and Venture [MSc(AIIV)] [*Subject to University’s Approval]

Programme Code

One-Year Full-time / A1M163

Two-Year Part-time / C2M074*

Programme Leader

Professor Xu Guandong (Co-Programme Leader)

Dr Fu Yujun Eugene (Co-Programme Leader)

Enquiry (Admission)

Enquiry (Programme)

Introduction

The Master of Science in Artificial Intelligence Innovation and Venture [MSc(AIIV)] aims to equip students with a robust theoretical and practical foundation in advanced artificial intelligence technologies, the principles and methods of human-centred design, and the entrepreneurial, financial, commercial, and innovation management capabilities needed to translate AI into viable products, services and ventures. The programme is designed to develop professionals who can design, develop, evaluate, deploy, and commercialise AI-enabled systems that are effective, usable, inclusive, trustworthy, and economically sustainable across various application domains, with due attention to ethical, social, and policy considerations.


By combining advanced AI technologies with human-centred design, responsible AI and entrepreneurship, the programme prepares students to identify genuine needs, develop appropriate solutions, validate user and market value, reduce adoption risks and support responsible commercialisation and scaling. The programme is intentionally interdisciplinary rather than designed solely for engineering graduates. It enables students and professionals from technology, business, education, social sciences and related disciplines to develop relevant AI capabilities and integrate them with their domain knowledge to create valuable products, services and ventures.


 

* 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).

 

 

Programme Highlights

  • Interdisciplinary Integration: Integrates artificial intelligence, human-centred design, responsible innovation, entrepreneurship, commercialisation and governance.
  • Human-Centred and Responsible AI: Places human needs, values, agency and well-being at the centre of AI design and evaluation, with attention to usability, inclusiveness, fairness, transparency, privacy, safety and accountability.
  • From AI Ideas to Viable Ventures: Develops capabilities in opportunity identification, AI business-model design, customer discovery and validation, venture funding, go-to-market and responsible scaling.
  • Practice-Oriented Learning: Combines practical exercises, case analyses, prototyping and collaborative projects to develop and evaluate AI-enabled solutions for real-world problems.
  • Diverse Disciplinary Backgrounds: Welcomes graduates and professionals from technology, business, education, social sciences, humanities, health sciences, sports sciences and other relevant disciplines.

 

 

 

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:

  • Meet the growing demand for talent who can bridge AI technology, human needs and business value, creating AI-enabled products and services that deliver real-world value.
  • Provide students with a comprehensive understanding of advanced AI methods and the ability to select and apply appropriate techniques in context.
  • Develop students’ competence in human-centred AI by placing human needs, values, agency and well-being at the centre of AI design and evaluation, including user research, interaction design, and empirical evaluation of usability, inclusiveness, user experience, and human-AI collaboration.
  • Prepare graduates to design and deploy responsible and trustworthy AI by considering fairness, transparency, privacy, safety, security, governance, and relevant legal and policy requirements.
  • Develop entrepreneurial, innovation-management, and financial and commercial analysis competencies, and business experience (opportunity identification, AI business-model design, customer discovery and validation, venture funding, go-to-market and responsible scaling), enabling graduates to launch AI startups or lead AI-driven transformation in established organisations.

 

 

Prospective Students

The MSc(AIIV) is designed for a diverse cohort of students and working professionals from technology, business, education, social sciences and related backgrounds. Rather than limiting AI education to engineering specialists, the programme provides students from different disciplines with opportunities to develop relevant technical, analytical and design capabilities and to integrate these with their existing domain knowledge.


This interdisciplinary orientation will enable students to apply AI to sector-specific problems, develop human-centred products and services, and pursue responsible innovation, venture creation or AI-enabled transformation within established organisations.

 

 

Programme Structure

The programme comprises 30 credit points(cps), including 4 core courses (12 cps) and elective requirements carrying 18 cps. Students are required to complete all four core courses and select one of the following pathways:
(a) Taught-course Pathway: 6 elective courses (18 cps); or
(b) Research Project Pathway: One Research Project in Human-Centred AI* (6 cps) and 4 elective courses (12 cps). 

 

Core courses

12 cps

Elective courses

18 cps

Total

30 cps

 

*Research Project Eligibility: The Research Project will be available only to students who have demonstrated appropriate academic ability. Full-time students must attain a GPA of 3.3 or above in Semester I and obtain approval from their supervisor before enrolling in the course. For part-time students, the same academic threshold will be applied to their cumulative results before enrolment. Admission is also subject to academic merit, project feasibility and the availability of appropriate supervision.

 

Programme Curriculum

Type

Course Title

Credit Points (cps)

Core courseHuman-Centred Artificial Intelligence3
Core courseVibe Coding and Human-AI Collaboration3
Core courseAI Venture Creation, Innovation Management, and Commercialisation3
Core courseResponsible and Trustworthy Artificial Intelligence for Business and Society3
Elective courseEconomics of Artificial Intelligence and Digital Markets3
Elective courseGenerative Artificial Intelligence and Applications3
Elective courseAgentic Artificial Intelligence and Harness Engineering3
Elective courseArtificial Intelligence, Humanities, and Social Innovation3
Elective courseAI Transformation and Digital Leadership3
Elective courseHuman-Centred AI Product Design, Evaluation and Entrepreneurship3
Elective courseFinance and Investment for AI Ventures3
Elective courseResearch Project in Human-Centred AI6

 

 

Course Details

Human-Centred Artificial Intelligence 

This course introduces the foundational concepts and methods of artificial intelligence, including supervised and unsupervised learning, neural networks, generative AI, model training and evaluation, and the capabilities and limitations of contemporary AI systems. Building on these foundations, students examine human-centred AI, which places human needs, values, agency, and well-being at the centre of AI design and development. Topics include human-centred problem framing, user and stakeholder needs, human–AI interaction, human-in-the-loop design, explainability, usability, inclusiveness, trust, fairness, safety, and accountability. Practical sessions and cases from areas such as education, healthcare, business, and public services enable students to select appropriate AI methods, translate human needs into technical and design requirements, and evaluate AI solutions using technical, user-centred, ethical, and societal criteria.

 

Vibe Coding and Human-AI Collaboration

This course bridges rapid AI prototyping with human-centred design principles. Students develop computational thinking and practical skills using prompt-based and code-assisted workflows (Vibe Coding) to rapidly build AI applications. Concurrently, the course covers interaction design patterns, human-in-the-loop decision-making, trust, and user experience evaluation. Students learn to translate user needs into technical requirements, rapidly prototype functional AI tools, and assess their usability in human-AI collaboration contexts.

 

AI Venture Creation, Innovation Management, and Commercialisation

This course explores the complete lifecycle of AI ventures, from ideation to commercialisation. Students learn to conceptualise ideas, identify technological opportunities, apply design thinking, and develop business models specific to AI ventures. Topics include building minimum viable products (MVPs), navigating intellectual property, venture funding, and managing the strategic commercialisation of AI technologies. Students are equipped to manage AI innovation, navigate corporate integration, evaluate commercial viability, and successfully pitch scalable, responsible AI solutions to investors and stakeholders.

 

Responsible and Trustworthy Artificial Intelligence for Business and Society 

This course focuses on the principles and practices needed to develop and deploy AI responsibly across business and societal contexts. Topics include fairness and bias, transparency and explainability, privacy, safety and security, accountability, corporate governance, and relevant legal/policy considerations. Students learn to identify risks, apply mitigation strategies, and evaluate AI systems against responsible AI criteria, particularly in high-impact human-centred commercial and social applications.

Economics of Artificial Intelligence and Digital Markets

This course examines the economic principles underpinning AI-driven businesses and digital markets. Topics include the economics of data and platforms, network effects, pricing and monetisation models for AI products and services, market structure and competition, app store, customer, and e-commerce analytics, productivity and labour-market impacts of AI, and cost–benefit analysis of AI investment. Students learn to assess the economic viability and market dynamics of AI ventures and to make evidence-based decisions on pricing, resource allocation, and scaling.

 

Generative Artificial Intelligence and Applications

This course focuses on generative AI models and their applications across various domains. Students will explore concepts such as generative adversarial networks (GANs), variational autoencoders, and large language models like GPT. The course emphasises the development and implementation of generative AI systems for tasks such as image synthesis, text generation, and creative content creation. Students will gain hands-on experience with generative AI frameworks and tools, preparing them to innovate and develop applications that leverage generative AI techniques.

 

Agentic Artificial Intelligence and Harness Engineering 

This course focuses on designing and implementing agentic AI systems that can plan, act, and collaborate with users to accomplish tasks. Topics may include tool use, workflow orchestration, evaluation of agent behaviour, and engineering practices ("harnessing") for reliability, safety, and user control. Students learn to prototype agentic systems and to assess them in realistic human-centred scenarios.

 

Artificial Intelligence, Humanities, and Social Innovation 

This course explores the intersection of artificial intelligence, humanistic inquiry, and social impact. By examining AI through the lens of the humanities, including philosophy, ethics, and cultural studies, students will critically reflect on how AI shapes human identity, culture, and society. Building on this foundation, the course equips students to design and deploy AI solutions that create public value and address pressing societal challenges (e.g., in education, healthcare, sustainability, and social services). Students will learn to frame problems with diverse stakeholders, evaluate social impact and equity, and apply responsible, humanistic practices to ensure AI technologies serve the greater good.

 

AI Transformation and Digital Leadership

This course examines how leaders can plan, manage, and evaluate AI-enabled digital transformation across organisations and sectors. It introduces key concepts, theories, and practices related to AI strategy, digital leadership, organisational readiness, technology adoption, change management, workforce development, and responsible innovation. The course examines how organisations identify opportunities for AI adoption, assess their readiness, redesign processes and services, build workforce capabilities, manage resistance, and evaluate transformation outcomes. It also addresses leadership responsibilities relating to data governance, transparency, fairness, privacy, security, accountability, and the impact of AI on employees, customers, and other stakeholders. Through comparative cases from education, business, public services, and other sectors, students will critically evaluate AI transformation initiatives, assess their own leadership capabilities, and formulate evidence-based strategies for organisational change. The course develops students’ ability to align AI adoption with organisational goals, human needs, and social responsibility and to lead interdisciplinary teams in complex digital environments.

 

Human-Centred AI Product Design, Evaluation and Entrepreneurship

This course equips students to translate AI capabilities into validated, user-accepted, and viable products or ventures. Topics include advanced UX design patterns for AI, mixed-methods system evaluation (e.g., usability studies, A/B testing, trust and experience metrics), opportunity identification, business model design for AI-enabled offerings, customer discovery and validation, prototyping, intellectual property, pitching, and responsible scaling. The course integrates UX evidence with entrepreneurial decision-making, embedding ethical and trustworthy AI principles throughout.

 

Finance and Investment for AI Ventures

This course introduces the financial management and investment concepts essential for launching, funding, and scaling AI ventures. Topics include financial statements and modelling, unit economics, startup valuation, fundraising and venture capital, budgeting and cash-flow management, and financial risk assessment for AI businesses. Students learn to build financial projections, evaluate funding options, and communicate financial viability to investors and stakeholders.

 

Research Project in Human-Centred AI 

This 6-cp course provides students with an opportunity to conduct an individual, supervised research project in human-centred artificial intelligence. Students will identify a significant technical, professional, business or social problem; critically review relevant literature and practices; formulate appropriate research questions; and design and implement a rigorous research plan.

 

Projects may investigate the design, application, evaluation, governance or commercialisation of AI-enabled systems, with particular attention to human needs, values, agency, usability, inclusiveness, trustworthiness and social impact. Depending on the project, students may employ quantitative, qualitative, computational, design-based or mixed methods. Under supervisory guidance, students will collect and analyse relevant evidence, evaluate an AI-enabled system, prototype, intervention, business model or governance approach, and communicate their findings and implications for professional practice, responsible innovation or venture development. The course culminates in a substantial research report and a formal presentation and defence.

Medium of Instruction

Chinese (mainly Putonghua)

 

 

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. The final choice of study location is subject to the University's discretion.

 

 

Career Prospects

Representative career pathways for graduates include:

  • AI Startup Founder / Co-founder: Launches AI-enabled ventures leveraging AI technologies to disrupt existing markets.
  • AI Business Strategist: Analyses market trends, evaluates AI investment opportunities, and develops commercialisation pathways.
  • Innovation Consultant / Digital Transformation Manager: Drives AI adoption and new-business creation or strategic innovation within established organisations.
  • Human-centred AI Application Developer: Builds human-centred applications powered by large language models, focusing on interaction quality, safety, and user trust.
  • Human–AI Interaction Specialist: Designs AI-enabled user experiences and interaction flows, ensuring systems are usable, inclusive, and aligned with user needs.
  • AI Algorithm Specialist: Designs and develops AI models and algorithms with consideration of how outputs will be used by people in decision-making and workflows.
  • AI Product Manager: Leads cross-functional teams to build AI products, balancing technical feasibility with user value, risk, and responsible AI requirements.
  • AI Governance Specialist: Supports organisations in implementing governance, risk management, and compliance processes for trustworthy AI (e.g., fairness, transparency, privacy, safety).
  • Educational AI Specialist: Designs and evaluates AI-supported learning and assessment tools, focusing on pedagogy, learner experience, and responsible use.
  • AI Policy / Technology Strategy Analyst: Analyses AI impacts and supports organisations with policy, standards, and strategic adoption planning.
  • AI UX Researcher: Conducts user research to understand how people interact with AI systems and to inform design decisions, evaluation, and iterative improvement.
  • AI Solutions Consultant: Works with clients to identify opportunities for AI adoption and to design solutions that fit organisational processes and stakeholder needs.
  • AI-Enhanced Service Designer: Designs and improves services using AI while considering user journeys, accessibility, safety, and ethics.

Note: While these are representative career pathways that MSc(AIIV) graduates can pursue, additional opportunities may be available depending on an individual’s prior background, chosen electives, and project experience.

 

 

 

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 2027/28 Admission)

1. General Requirements
  • Applicants should normally hold a recognised Bachelor’s degree or equivalent. Applicants from a broad range of disciplines, including science, engineering, information technology, computing, data science, business, economics, management, education, social sciences, humanities, health sciences, sports sciences, and other relevant disciplines, are welcome.
  • Applicants from other academic backgrounds who possess relevant professional experience or demonstrate a clear interest in applying artificial intelligence within their disciplinary or professional contexts may also be considered.
  • 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. Interview
  • Shortlisted applicants may be required to attend an interview.

 

 

Tuition Fee

HKD280,000 (30 cps) 

 

The tuition fee is provisional and subject to adjustment. Tuition fees paid are normally not refundable or transferable. Students who still need to take courses to meet graduation requirements beyond the regular study period will need to pay a fee for extended study.

 

 

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.

 

 

Application and Enquiries

Admission: acadmission@eduhk.hk

Programme: mscaiiv@eduhk.hk

 

Interested applicants should submit their applications via EdUHK Online Application Systems. Prior to 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