PgDip in Artificial Intelligence & Business Transformation (AIBT)

Mode and Schedule	Part-time Weekend Mode, with one intensive module on a weekend (Saturday and Sunday) each month, the entire programme is completed in approximately 18 months.
Location	All students will attend the Inauguration Ceremony-cum-Residential Workshop, Final Project and Graduation Ceremony in Hong Kong. After that, the modules will then be held in five learning centres in Beijing, Shanghai, Shenzhen, Guangzhou, and Chengdu respectively. To enhance students' learning experience and create an enriching communication and sharing platform, the Institute will make appropriate arrangements for students to attend classes at different learning centres.
Medium of Teaching	Putonghua, supplemented with English.

Admission Make Appointment

Innovating China Business

In the era of artificial intelligence (AI) and digital technologies, business transformation (BT) are about continuously reshaping every industry and each organisation. When they work, they need to timely enhance performance, increase productivity, create competitive advantages, and sustain dynamic core competences. The future of Artificial Intelligence is still full of uncertainties, but we must be positive and optimistic, inspiring hearts and minds to explore together and create a ‘human-centred’ intelligent world!

Driven by fast-emerging technologies and new applications such as A.I. for wide adoptions in many aspects of life, China’s workplace has been evolving rapidly, leading to fundamental changes to work. Businesses keen to adopt A.I. and new technologies need to ensure that their talent strategy timely aligns to their technology roadmaps, while also making sustainable advancements in productivity and employee well-being through areas such as work redesign and aligning skills for people growth and organisation development.

In order to support the latest governmental initiatives for the New Quality Productive Forces (新質生產力) and to meet the social needs for individuals, enterprises and communities at large, this newly created academic programme (i.e. Artificial Intelligence and Business Transformation or AIBT) aims at developing our business leaders and talents to equip with knowledge, mindsets and skillsets about A.I. and other disruptive technologies in the 21st century.

AIBT Curriculum Design - Navigating Business Transformation

AIBT Learning Journey

Programme Objectives

Systematically understand and apply relevant theories to identify the impact of AI and other disruptive technologies on enterprise’s future business strategies and develop corresponding action plans to embrace relevant changes;
Critically apply the knowledge of digital transformation with cutting-edge technologies for commercial and social impact
Enlighten management insights of fostering innovative competence and corporate culture to lead business transformation with a good balance between humanities and technologies
Assist enterprises to establish and promote the development of agile organisations, promote cross-departmental cooperation internally, and promote cross-border collaboration between government, industry, academia and research externally to help the enterprises and society improve new quality productivity
Strike a good balance between the humanities and sciences, respect ethics and regulations and lead enterprises to become a member of integrity and innovation in the community, and create the future of smart business

Programme Content

Inauguration Ceremony-cum-Residential Workshop
Business Transformation Strategy in the AI Era
Innovation Leadership and Tech-transfer Management
Business Decisions with AI
Dynamic Core Competence and Innovation
Human Resources and Organisational Innovation in the AI Era
Digital Supply Chain and Innovative Smart Manufacturing
AI-driven Generative Marketing
AI-driven Product Innovation and Service Experience
AI and Corporate Finance Management
Intangible Assets and Intellectual Properties in Knowledge-based Economy
Final Project of Artificial Intelligence & Business Transformation

Teaching Members’ Qualifications

In addition to senior professors from the University of Hong Kong, the teaching staff of this programme includes executives from well-known multinational corporations such as Microsoft, Siemens, IBM, SAP, GE, Oracle, Huawei, Alibaba, AT&T, 3M, McKinsey, Stanford, Cambridge, MIT, Harvard, Imperial College London, Cisco, Accenture Consulting, etc. They form a high-level, diversified and experienced teaching team with outstanding innovation ability and management experience. The teaching team is composed of executives from well-known multinational companies such as Stanford University, Cambridge University, MIT, Harvard University, Imperial College London, Cisco, Accenture Consulting, etc., who are highly qualified, diversified, innovative and experienced in management.

The lecturers of this course have the most cutting-edge overseas and mainland management experience in the digital industry: from assisting participants to understand business needs and transformation objectives, building various digital strategy solutions, enhancing customer experience, to consolidating the legal concepts of digitisation, the course enhances participants' ability to lead the digital transformation of enterprises in all aspects.

Programme Leader and Academic Advisor

马陈杰博士
Dr. Henry Ma

Assistant Director of HKU ICB, Doctor of Public Administration from University of Hong Kong, Master of Business Administration from University of Cambridge, UK, with research focus on collaborative innovation

Teaching Members

潘天佑博士
Dr. Tim Pan

Adjunct Associate Professor at HKU ICB; Former Senior Director, Microsoft Research Asia; PhD in Electrical Engineering, Washington University in St. Louis, USA

吴俊彦博士
Dr. JY Wu

Part-time Lecturer at HKU ICB; Head of Talent and Leadership Development, Siemens Asia; PhD in Economics, Kyoto University, Japan; MSc in Engineering, Massachusetts Institute of Technology, USA

车品觉先生
Mr. Herbert Chia

Adjunct Associate Professor at HKU ICB, Venture Partner of Sequoia Capital China, Independent Non-Executive Director of Chow Tai Fook Jewellery Group, Ex-Vice President of Alibaba Group and the Chairman of its Data Committee

冼超舜博士
Dr. Charleston Sin

Part-time Lecturer at HKU ICB; PhD in Management Sciences at The University of Waterloo in Canada; Executive Director of the MIT Hong Kong Innovation Node; Board of Directors of Hong Kong Cyberport Management Company

吕俊德教授
Prof. Jun-der Leu

Part-time Lecturer at HKU ICB; PhD in Economics and Management, Technische Universität Berlin; Honorary Fellow, University of Applied Sciences, Munich; Former Senior Executive, Siemens

秦琮博士
Dr. Benjamin Qin

Part-time Lecturer at HKU ICB; Co-Founder and Managing Partner of Litchin Capital; Former Chief Technology Officer (CTO) of Honeywell Intelligent Building Technologies for Greater China, Asia Pacific and India; DBA in Management, University of Manchester

王新生先生
Mr. David Wang

Part-time Lecturer at HKU ICB; Senior Partner and Senior Vice President of Siemens Avanta Consulting; Head of Operational Excellence China, Siemens China Ltd; Industry 4.0 Lecturer of China Entrepreneurs Federation

谭北平先生
Mr. Beiping Tan

Adjunct Associate Professor at HKU ICB, VP of Mininglamp Group, Dean of Miaozhen Marketing Science Academy

李锐博士
Dr. Ray Li

Adjunct Associate Professor at HKU ICB; Former CFO and Group Executive Committee member of Ping An Group, PhD in Finance from ISM International Management Institute

夏海瑞博士
Dr. Harry Xia

Adjunct Associate Professor at HKU ICB; Tenured Full Professor, California State University Business School, USA; Secretary General, Shanghai Health Management Research Association; Member, Health and Insurance Professional Committee of China Medical Asso

陶庆久博士
Dr. Tom Tao

Part-time Lecturer at HKU ICB; Assistant Professor, School of Business Administration and Economics, University of Delaware, USA; Member, Association of University Technology Managers (AUTM), USA; PhD in Strategic Management, University of Pittsburgh, US

邓尧先生
Mr. Yao Deng

Part-time Lecturer at HKU ICB; Partner of Cuban Law Firm; Practising Hong Kong Registered Foreign Lawyer in China（2013-2023）; Master of Intellectual Property of the University of Aberdeen, UK

王欣先生
Mr. Michael Wang

Adjunct Associate Professor at HKU ICB; Partner of Century Pangxin Management Consulting Co; former Vice President of Microsoft (China); former Director of Peter Drucker School of Management

唐玄辉教授
Prof. Hsien-Hui Tang

Part-time Lecturer at HKU ICB; Full Professor and Senior Doctoral Fellow, Department of Design, National Taiwan University of Science and Technology; Director, UXPA China; Chief Research Specialist, X Thinking Institute

宛兵先生
Mr. Bing Wan

Part-time Lecturer at HKU ICB; Senior Vice President of Siemens China & Head of Strategy & Business Development; Former Director of Siemens Learning Campus (APAC Region); MBA, University of Cambridge

李徽徽先生
Mr. Huihui Li

Adjunct Associate Professor at HKU ICB; Non-Executive Board Director of Fortune 500 and Public Listed Firms, Expert Partner of Private Equity Venture Capital Firms; MBA Cambridge University and Double Bachelor Peking University

孙志鹏博士
Dr. Zhi Peng Sun

Part-time Lecturer at HKU ICB; Former Director of Product Design, Lufax, a leading financial technology and internet wealth management platform in China; PhD, Columbia University, USA

郑舒宁博士
Dr. Tim Cheng

Academic Stream Leader (Innovation and Management) and Programme Leader of HKU ICB; Former Key Leader of Channel and Key Account Management of NXP Greater China; Doctor of Business Admin from University of Newcastle, AU; Certified ESG Planner

于晓女士
Ms. Carmen Yu

Programme Leader at HKU ICB; Internationally Certified Facilitator in Design Thinking; Innovation Mentor for Science & Technology Incubators; BBA &MBA, University of Toronto, Canada

董皓博士
Dr. Donnie Dong

Part-time Lecturer at HKU ICB, Cross-border legal matters Expert, Fellow of the Berkman Center for Internet and Society, Harvard University, Former Senior Counsel at Baker McKenzie

陈伟杰博士
Dr. Albert Chan

Part-time Lecturer at HKU ICB; Founder and President of China-US Intellectual Property Association; Registered Foreign Lawyer in Hong Kong; Doctor of Laws, Columbia University, New York, USA.

张天博士
Dr. Sky Zhang

Part-time Lecturer at HKU ICB, Head of Digital Technology at Burger King China; Former Chief Digital Officer at Popeyes China, Former Head of Digital Marketing at McDonald's China, Coca-Cola China, Johnson & Johnson Vision Care, and BBDO Detroit

Programme Highlights

Faculty with International Background: Graduated from the world’s leading universities along with work experience for international enterprises in key roles with global vision and local impact.
Cutting-edge and Holistic Content: Interdisciplinary education encompassing humanities and sciences including human capital and organizational reform; innovation management; finance and investment; and marketing.
Balance between Theories and Practices: In-depth case studies for various enterprises in different industries coupled with the world’s latest research in co-creating future businesses in the era of AI.

Learning Journey

Learn More》 Elective Modules Enterprise Study

Suitable for

Existing leaders in SMEs and large firms who are responsible for innovation management, productivity improvement and all functions relating to business growth and digital transformation by A.I. adoptions
Founding teams of startups and future leaders of SMEs and large enterprises who are seeking rapid business growth in China and overseas through new business model coupled with new technology commercialisation and adoptions with A.I. and digital transformation
Management teams of traditional firms who need to acquire innovative and cutting-edge knowledge and skillsets with new technologies (such as A.I. and digital methods) to implement change and accelerate innovation to increase new quality productivity, adapt market change and seek new growth.

Graduation Certificate

Postgraduate Diploma in Artificial Intelligence & Business Transformation

Upon completion of the "Residential Workshop", 10 compulsory modules and the "Final Project", and after passing the evaluation, students will be awarded the "Postgraduate Diploma in Artificial Intelligence & Business Transformation" by the University of Hong Kong at the postgraduate level.

Fees and Charges

Application fee：	500 RMB
Tuition fee：	118,000 HKD
Meals and travel expenses：	Students are responsible for their own accommodation and transportation during the programme. If the Inauguration Ceremony-cum-Workshop is held offline, accommodation during the period will be arranged by the Institute and the costs will be covered accordingly.

Programme Enquiries

Beijing	Becky Yang - (010) 6596 9976 Rush Li - (010) 6596 9931
Shanghai	Bella Chen- (021) 6841 1269 Carson Zhang - (021) 6841 1257
Shenzhen	Grace Liu - (0755) 2360 9717
Guangzhou	Catherine Fan - (020) 2206 0511
Chengdu	Louis Cheng - (028) 8445 6528