HKU ICB
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. |
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 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
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 organisational 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.
潘天佑博士
Dr Tim Pan
Adjunct Associate Professor; 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; Head of Talent and Leadership Development, Siemens Asia; PhD in Economics, Kyoto University, Japan; MSc in Engineering, Massachusetts Institute of Technology, USA
车品觉教授
Prof Herbert Chia
Adjunct Associate Professor; Director of the HK Exchanges and Clearing Ltd; Former Venture Partner of Sequoia Capital China; Former BoD of the HK Science and Technology Parks Corp and Former Vice President of Alibaba Group
林咏华女士
Ms Yonghua Lin
Part-time Lecturer; Vice President and CTO of Beijing Academy of Artificial Intelligence; Former Director of IBM China Research Lab; Member of IEEE Women in Engineering Asia Pacific Leadership Team
吕俊德教授
Prof Jun-der Leu
Part-time Lecturer; 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; 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
董皓博士
Dr Donnie Dong
客座副教授，跨法域IP战略专家，哈佛大学法学院研究员，曾任贝克 麦时坚国际律所律师
谭北平先生
Mr Beiping Tan
Adjunct Associate Professor, VP of Mininglamp Group, Dean of Miaozhen Marketing Science Academy
李锐博士
Dr Ray Li
Adjunct Professor; 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; 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; 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; 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; 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; 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; 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; Non-Executive Board Director of Fortune 500 and Public Listed Firms, Expert Partner of Private Equity Venture Capital Firms; MBA Cambridge University
孙志鹏博士
Dr Zhi Peng Sun
Part-time Lecturer; Former Director of Product Design, Lufax, a leading financial technology and internet wealth management platform in China; PhD, Columbia University, USA
陈涛博士
Dr Tao Chen
Part-time Lecturer; COO of Off-Grid Europe GmbH, Germany; Former Vice President at SAP Asia Pacific and Greater China; M.Sc. and Ph.D. in Physics at the University of Würzburg, Germany
王新生先生
Mr David Wang
Part-time Lecturer; 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
陈伟杰博士
Dr Albert Chan
Part-time Lecturer; 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; 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, and BBDO Detroit
于晓女士
Ms Carmen Yu
Programme Leader; Internationally Certified Facilitator in Design Thinking; Senior Innovation Consultant; HKU TEC entrepreneurship mentor
冼超舜博士
Dr Charleston Sin
Part-time Lecturer; 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
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
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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
| Becky Yang - (010) 6596 9976 Cathy OuYang - (010) 6596 9915 |
| Bella Chen- (021) 6841 1269 Carson Zhang - (021) 6841 1257 |
| Grace Liu - (0755) 2360 9717 |
| Catherine Fan - (020) 2206 0511 |
| Louis Cheng - (028) 8445 6528 |