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Minor in Artificial Intelligence & Data Analytics

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Entrance Year For students admitted from 2024-25 onwards (4-year Undergraduate Degrees)

Programme Code 62401-YAD

Mode of Study Full-time

Credits Required for Graduation 18 credits (at least 9 credits must be at level 3 or above)

Programme Leader(s)

Prof. WU Xiao Ming

Remarks

Exclusive Programme(s) & Programme Code(s)

BSc (Hons) Computing (61435-FCS) 
BSc (Hons) Enterprise Information Systems (61435-FIS) 
BSc (Hons) Financial Technology and Artificial Intelligence (62401-FFT / 62435-FFT)

Aims and Characteristics

The Minor in Artificial Intelligence & Data Analytics aims to provide students from diverse disciplines with foundational knowledge and practical competencies in AI and data-driven decision‑making. It equips students with essential skills in data processing, statistical analysis, machine learning, and responsible AI practices, enabling them to apply analytical thinking and computational techniques in their respective domains.

The Minor also aims to cultivate students’ ability to interpret insights from data, develop simple AI‑enabled solutions, and appreciate the ethical, societal, and professional implications of deploying AI technologies in real‑world scenarios.

 

Entrance Requirement

 

To be eligible for a Minor, you must have a cumulative GPA of 2.50 or above at the time of application for Minor enrolment.

The Minor application period normally begins after the announcement of overall results for Semester Two of Year One. Your CGPA at the end of Semester Two of Year One will be used to determine your eligibility. If you are interested in pursuing a Minor, please submit your application via eStudent > Application Forms > (AR147) Application for Minor during the designated application period.

 

For further details, please refer to the website of the Academic Registry.

 

Enquiries

Department of Data Science and Artificial Intelligence

General Office

Department of Data Science and Artificial Intelligence

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