Aims and Characteristics

Special Features

• Earn a professional doctorate

• Pioneering doctoral degree driven by advancements in Artificial Intelligence (AI), Business Intelligence (BI), Generative AI (Gen AI), and Prompt Engineering

• Develop strong leadership skills to effectively manage and implement digital transformation initiatives, leveraging AI and BI technologies to enhance organizational performance and competitiveness

• Choose your preferred study mode: two-year full-time or three-year part-time

• Become part of an elite network of over 600 alumni and students

Programme Aims

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

On completion of the programme, students will be able to elevate their knowledge, skills, and intellectual capacities in alignment with overarching learning outcomes, which are underpinned by specific learning objectives below:

1. General Business Knowledge
   Learning Objective: Expanding and enriching students' comprehension of the significance of digital technology transformation and technological innovations in the business sphere, while considering ethical implications.

2. Specialist Knowledge
   Learning Objective: 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.

3. Applied Research Proficiency
   Learning Objective: Cultivating the capability to independently conduct pioneering applied research in technology-driven business domains.

Characteristics

Accreditations

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.

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

International Collaborations

To increase the international exposure and academic vigour 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 has been ranked sixth in the world for open and custom programmes in the 2023 Financial Times Executive Education ranking.

LSE has been ranked third in Europe, and sixth in the world, in social and management subjects in the QS World University Rankings by Subject 2024.

Technological Element in the Curriculum

To help students embrace technological changes and digital transformation, five elements, namely Artificial Intelligence, Blockchain, Cloud Computing, Data Science, and Entrepreneurship, have been embedded across a wide range of subjects.

Our curriculum is aimed at fostering awareness about the impact of technology innovations in addition to enabling students to handle data and adopt technology to tackle business and organizational issues while enhancing management and leadership.