Department :
Programme Name :
Programme Code :
Duration :
Year 1 Entry: 4 Years (Full-Time)
Year 3 Entry: 2 Years (Full-Time)
Medium of Instruction :
Venue(s) :
General Education (GE) : Chai Wan/Tsing Yi Campus
Registration No.: To be announced
Registration Validity Period: To be announced
^The programme is newly offered in AY2026/27. The programme will undergo learning programme accreditation with the Hong Kong Council for Accreditation of Academic and Vocational Qualifications in 2026.
Programme Aims
The Programme aims to equip students with professional expertise in applying AI to business management and foster their ability to integrate AI solutions in real business environments, ensuring they are well-equipped to meet the demands of a rapidly transforming digital economy. Graduates will possess hands-on skills in AI-driven business analytics, enterprise resource planning, digital operations, and cross-disciplinary collaboration. They will become competitive and innovative professionals in the information technology industry, capable of making effective contributions to digital transformation initiatives across various sectors.
Career Prospects
Graduates of the BScAIEM programme will be well-positioned to pursue a wide range of career opportunities that require a strong combination of AI technical proficiency and enterprise management capability such as AI Application Specialist, Strategy and Transformation Analyst and Digitalisation Officer. Graduates will be able to enter diverse industries, including technology startups, consulting firms, financial institutions, logistics and retail enterprises, as well as public sector agencies actively adopting AI-driven operations.
Programme Specific Requirements
For Year 1 Entry:
1. For HKDSE, a maximum of two Applied Learning (ApL) subjects can be counted for admission purpose. Programme-specific Requirements. Relevant ApL subjects include: Innovative Product Design, Jewellery Design in Digital Age, The Essentials of Theatre Arts, Automotive Technology, AI and Robotics, AI in Business, Computer Game and Animation Design, Digital Media and Radio Production, Internet of Everything Application, Tech Basics, Creative Advertising, Digital Brand Communication.
2. Applicants may be required to attend an admission interview.
For Year 3 Entry:
Higher Diploma OR equivalent sub-degree qualifications/studies in a relevant area of study.
Remarks:
1. Additional core modules maybe required (with fee charged) for sub-degree graduates according to the educational background of individuals.
2. All applicants are screened and selected by an Admission Panel. If interview is required, it would be conducted in English.
3. For enquiries, please contact Department of Digital Innovation and Technology at 3890 8323.
For General Entry Requirements, please refer to Admission.
Tuition Fee
- The tuition fees are charged according to the number of credit points taken during a semester.
- The tuition fee for academic year 2026/27 per credit:
| Local Students | Non-local Students |
|---|---|
| to be announced | to be announced |
Programme Curriculum
This is a credit-based programme, which students will normally complete over 4 years (in 8 semesters). Students are required to take 120 credit points with modules shown below and an Industrial Attachment module for work-integrated learning. To encourage lifelong learning in general, and to provide students with greater flexibility, the programme will be offered through a credit-based module accumulation system with a multi-entry and multi-exit structure.
Remark:
Modules offered are subject to change.
Year 1
Discrete Mathematics & Probability
Introduction to Programming
Accounting for Management
Introduction to AI
Database Systems
Business Management Fundamentals
Linear Algebra & Calculus
Chinese 1
English for Academic Studies 1
Creativity & Innovation in Society
Year 2
Marketing Management
Machine Learning Fundamentals
AI Ethics & Professionalism
Deep Learning
AI in Project Management
Data Science for Business
Entrepreneurial Mindest
A.I. and Blockchain in Society & Work
GE Elective Module 1
GE Elective Module 2
Year 3
Computer Vision
Natural Language Processing
AI in Enterprise Resource Planning, Execution & Monitoring
AI & Cybersecurity
Big Data & AI Digital Marketing
Generative AI in Multimedia Applications
Work-Integrated Learning
Chinese 2
English for Academic Studies 2
English for Professional Purposes
Year 4
AI Driven Predictions & Decision Making
Business Research & Innovation
Final Year Project
Advanced Topics in AI
AI in Product Development
GE Elective Module 3
GE Elective Module 4
Programme Elective 1
Programme Elective 2
Programme Elective Modules
AI & Internet of Things Devices
Human Resources Management
Intelligent Manufacturing
Customer Relationship Management
Business Data Visualisation
Hardware & Cloud Computing for AI