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.

Students may count up to 12 credits of their Major/GUR subjects towards the Secondary Major. Nevertheless, students must take at least 12 credits from the Secondary Major in AIDA in order to satisfy the residential requirement of the Secondary Major in AIDA. Students who have completed more than 12 credits of subjects that are eligible for double counting will need to apply for graduation and indicate the subjects intended for double counting. Notwithstanding the above, students must meet the minimum credit requirements of the “X + Secondary Major” concerned, i.e., 132 credits.

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