工商管理高等文凭及人工智能和数据分析工商管理高等文凭

The programme aims to equip students with comprehensive business knowledge and practical skills for today's dynamic commercial environment. It provides a strong foundation in core business disciplines (management, economics, accounting, marketing, and HR) while incorporating emerging trends like AI and e-commerce. Through specialised streams, students develop expertise in business management, quality management, global business, or applied business psychology.  The curriculum blends theoretical knowledge with practical applications, fostering analytical thinking and decision-making skills. Graduates will be prepared to address modern business challenges, implement innovative solutions, and assume leadership roles in diverse organisational settings, with the flexibility to pursue specific career pathways through stream specialisation.
 
 
The programme consists of 4 streams:

1. Business Management;
2. Applied Business Psychology;
3. Total Quality Management; and
4. Global Business Management.

The programme aims to provide students with a solid foundation in artificial intelligence (applied AI) and data analytics within the context of business management. It is designed to equip students with the skills necessary to solve complex problems and make strategic decisions using applied AI and data-driven approaches. By integrating case studies from Hong Kong’s dynamic business environment, students will address emerging societal challenges and their impact on organisational success.

On completion of the programme, students should be able to
 
1. apply management, economics, and marketing principles to solve business challenges using AI and data-driven strategies;
2. analyse financial and operational data with accounting and AI tools to enhance business decision-making;
3. implement AI and Gen AI solutions to automate processes, optimise performance, and drive innovation in business;
4. design compelling data visualisations and narratives to communicate insights effectively for strategic business actions; and
5. lead digital transformation by integrating AI, analytics, and change management best practices.