Artificial Intelligence and Data Analytics

The curriculum structure of the Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is as follows:

Artificial Intelligence and Data Analytics (AIDA)	Credits
Core Mathematics I for AIDA Mathematics II for AIDA Programming I: Programming Fundamentals Programming II: Data Structures and Algorithms Fundamentals of Data Analytics Machine Learning Artificial Intelligence DSR-AIDA Bridging Subject(s) Integrated Capstone Project	30-33 (3) (3) (3) (3) (3) (3) (3) (3-6) (6)
Electives	3-6
Total	36

Proposed Study Pattern:

Stage	Subjects	Credits
Year 2	Mathematics I for AIDA Mathematics II for AIDA Programming I: Programming Fundamentals Programming II: Data Structures and Algorithms/ Fundamentals of Data Analytics	3 3 3 3
Year 3	Fundamentals of Data Analytics/ Programming II: Data Structures and Algorithms Machine Learning Artificial Intelligence DSR-AIDA Bridging Subject 1	3 3 3 3
Year 4	Integrated Capstone Project DSR-AIDA Bridging Subject 2 / Elective 1 Elective 2	6 3 3

Note that students could swap around:

their Fundamentals of Data Analytics/ Programming II: Data Structures and Algorithms
their DSR-AIDA Bridging Subjects / Elective

in the proposed study pattern based on their own plan.

Programme Requirement Documents for the Secondary Major in AIDA:

For students admitted from Academic Year 2022/23 to 2024/25

For students admitted from Academic Year 2025/26 onwards

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