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

Elective Courses (15 units)
Stream 1 – Data Analytics
Data Security and Privacy (3 units)
Special Topics in Data Analytics ( 3units)
Database Systems and Administration (3 units)
Data Mining and Knowledge Discovery (3 units)
Business Intelligence (3 units)
Big Data Analytics (3 units)
Natural Language Processing (3 units)

Stream 2 – Artificial Intelligence
Special Topics in Artificial Intelligence (3 units)
Recommender Systems (3 units)
Machine Learning (3 units)
Web Intelligence and Its Applications (3 units)
Data Mining and Knowledge Discovery (3 units)
Business Intelligence (3 units)
Computer Vision (3 units)

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