1. A bachelor's degree in science, engineering, IT or relevant fields from a recognised university; or

2. Equivalent qualifications.

Core Courses (14 units) 

• Artificial Intelligence (3 units) 
• IT Forum (1 unit)
• IT Project Skills (1 unit)
• Principles and Practices of Data Analytics (3 units)
• Python for Data Analytics and Artificial Intelligence (3 units)
• Quantitative Methods for Data Analytics and Artificial Intelligence (3 units)

Elective Courses (15 units)
Stream 1 – Data Analytics

• Big Data Analytics (3 units)
• Business Intelligence (3 units)
• Data Mining and Knowledge Discovery (3 units)
• Data Security and Privacy (3 units)
• Database Systems and Administration (3 units)
• Natural Language Processing (3 units)
• Special Topics in Data Analytics (3units)

Stream 2 – Artificial Intelligence

• Business Intelligence (3 units)
• Computer Vision (3 units)
• Data Mining and Knowledge Discovery (3 units)
• Machine Learning (3 units)
• Recommender Systems (3 units)
• Special Topics in Artificial Intelligence (3 units)
• Web Intelligence and Its Applications (3 units)

Stream 3 – Intelligent Information Systems

• Blockchain Technology (3 units)
• Cloud Computing (3 units)
• Financial Technology (3 units)
• Health Information Systems: Architecture and Technologies (3 units)
• Innovative Laboratory (3 units)
• Intelligent Decision Support Systems (3 units)
• Special Topics in Intelligent Information Systems (3 units)
• Web and Mobile Programming (3 units)

MSc Practicum & Research

• MSc Practicum (3 units)
• MSc Research I (3 units)
• MSc Research II (3 units)

For language proficiency requirement, please visit https://ar.hkbu.edu.hk/tpg-admissions/programmes