Academic Qualification

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)
Ethics of Data Analytics and Artificial Intelligence (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)
Innovative Laboratory (3 units)
Blockchain and Cryptocurrenciesx (3 units)
Financial Technology (3 units)
Visual Analytics and Decision Support (3 units)
Cloud Computing (3 units)
Audio and Speech Processing (3 units)

Stream 2 – Artificial Intelligence
Natural Language Processing and Large Language Models (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)
Audio and Speech Processing (3 units)
Computer Vision (3 units)
Blockchain and Cryptocurrencies (3 units)
Autonomous Robotics (3 units)
Special Topics in Artificial Intelligence (3 units)
Prompt Engineering for Generative AI (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.