Doctor of Business Artificial Intelligence PHD Programme By Faculty of Business, The Hong Kong Polytechnic University |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

75,357 USDTuition Fee/year

Application Deadline

28 Aug, 2026Application Deadline

Starting Month

JanStarting Month

Programme overview

Main Subject

Business and Management Studies

Degree

Other

Study Level

PHD

Study Mode

On Campus

Programme Aims


This programme aims to equip visionary leaders with a comprehensive understanding of Artificial Intelligence (AI), Business Intelligence (BI), and Generative AI (Gen AI) in the context of modern business administration. It also aims to equip professionals with the expertise needed to effectively harness the power of AI and BI technologies. By merging advanced AI concepts with business strategies, the programme endeavours to cultivate leaders capable of navigating an ever-evolving business landscape, leveraging cutting-edge technologies, and fostering innovative solutions to address complex challenges in diverse industries.     


At the end of the programme, students will have acquired the knowledge, skills, and intellectual abilities necessary to achieve the general learning outcomes, in accordance with the specific learning objectives below:


General Business Knowledge


  • Expanding and enriching students' comprehension of the significance of digital technology transformation and technological innovations in the national and global business spheres, while considering ethical implications


Specialist Knowledge


  • Attaining profound expertise in digital technologies within the realms of AI, BI, and Gen AI industries, which fosters students’ continual professional growth and enhances their capability of lifelong learning in the era of AI


Applied Research Proficiency


  • Cultivating the capability to independently conduct pioneering applied research in technology-driven business domains 


Accreditations


  • AACSB  

The Faculty of Business was accredited by AACSB International (The Association to Advance Collegiate Schools of Business) in 2010 in recognition of our business education.


  • EQUIS  

The Faculty of Business was accredited by EQUIS (EFMD Quality Improvement System) in 2007 in recognition of our programmes, research, and associated activities.


International Collaboration


To strengthen the international dimension and academic rigour of the programme, collaborations have been established with the International Institute for Management Development (IMD) in Switzerland and The London School of Economics and Political Science (LSE) in London, U.K. 


IMD was ranked in the 10 for both open and custom programmes in the 2025 Financial Times Executive Education ranking.


LSE was ranked third in Europe and sixth in the world for social sciences and management subjects in the QS World University Rankings by Subject 2025.


Programme overview

Main Subject

Business and Management Studies

Degree

Other

Study Level

PHD

Study Mode

On Campus

Programme Aims


This programme aims to equip visionary leaders with a comprehensive understanding of Artificial Intelligence (AI), Business Intelligence (BI), and Generative AI (Gen AI) in the context of modern business administration. It also aims to equip professionals with the expertise needed to effectively harness the power of AI and BI technologies. By merging advanced AI concepts with business strategies, the programme endeavours to cultivate leaders capable of navigating an ever-evolving business landscape, leveraging cutting-edge technologies, and fostering innovative solutions to address complex challenges in diverse industries.     


At the end of the programme, students will have acquired the knowledge, skills, and intellectual abilities necessary to achieve the general learning outcomes, in accordance with the specific learning objectives below:


General Business Knowledge


  • Expanding and enriching students' comprehension of the significance of digital technology transformation and technological innovations in the national and global business spheres, while considering ethical implications


Specialist Knowledge


  • Attaining profound expertise in digital technologies within the realms of AI, BI, and Gen AI industries, which fosters students’ continual professional growth and enhances their capability of lifelong learning in the era of AI


Applied Research Proficiency


  • Cultivating the capability to independently conduct pioneering applied research in technology-driven business domains 


Accreditations


  • AACSB  

The Faculty of Business was accredited by AACSB International (The Association to Advance Collegiate Schools of Business) in 2010 in recognition of our business education.


  • EQUIS  

The Faculty of Business was accredited by EQUIS (EFMD Quality Improvement System) in 2007 in recognition of our programmes, research, and associated activities.


International Collaboration


To strengthen the international dimension and academic rigour of the programme, collaborations have been established with the International Institute for Management Development (IMD) in Switzerland and The London School of Economics and Political Science (LSE) in London, U.K. 


IMD was ranked in the 10 for both open and custom programmes in the 2025 Financial Times Executive Education ranking.


LSE was ranked third in Europe and sixth in the world for social sciences and management subjects in the QS World University Rankings by Subject 2025.


Admission Requirements

6+
80+

Applying for the PolyU Doctor of Business Artificial Intelligence (DBAI) programme

  • A Master's degree, preferably in a field related to business, computer science, data science, economics, mathematics, statistics, or engineering; and
  • At least 5 years of significant managerial experience at a senior management level.
  • Individuals working in senior management positions or in roles related to artificial intelligence or data science, with a recognized first degree and membership in a recognized professional body, may also be considered on a case-by-case basis.

If you are not a native speaker of English, and do not possess a Bachelor’s or Master's degree or equivalent qualification which is awarded by institutions where the medium of instruction is English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admissions Requirements" section at Study@PolyU for details.

Shortlisted candidates will be invited for interviews.

28 Aug 2026
2 Years
Jan

Tuition fees

Domestic
75,357 USD
International
75,357 USD

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