Secondary Major in Artificial Intelligence and Data Analytics (AIDA)
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Programme Overview This Secondary Major in AI and Data Analytics (AIDA) to BSc (Hons) in Land Surveying and Geo-informatics aims at offering a means to understand and promote the theories and science of smart cities, gathering city-scale data and providing the apparatus to transform this data into knowledge. It capitalizes on emerging developments in Big Data and in interdisciplinary solutions to the world’s urban challenges. |
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Programme Code 34480-XAL |
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Credit Required for Graduation 144 credits |
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Programme Leader(s) Prof Xiaolin ZHU, email: xiaolin.zhu@polyu.edu.hk Prof Guoqiang SHI, email: guoqiang.shi@polyu.edu.hk Dr Sissi CHEN, email: sissi-lsgi.chen@polyu.edu.hk
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Entrance Requirements
To be eligible for a Secondary Major, you must have a cumulative GPA of 2.70 or above at the time of application for Secondary Major enrolment.
The Secondary Major 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 Secondary Major, please submit your application via eStudent > Application Forms > (AR164) Application for Major/Secondary Major/Double Major during the designated application period.
Programme Structure
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Category |
Subjects |
Credits |
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Core |
Mathematics I for AIDA |
3 |
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Mathematics II for AIDA |
3 |
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Programming I: Programming Fundamentals and Applications |
3 |
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Programming II: Data Structures and Algorithms |
3 |
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Fundamentals of Data Analytics |
3 |
|
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Machine Learning |
3 |
|
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Artificial Intelligence |
3 |
|
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DSR-AIDA Bridging Subject |
3 |
|
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Integrated Capstone Project |
6 |
|
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Elective |
Electives |
6 |
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Total |
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36 |
Suggested Study Pattern (applicable to 2025 cohort onward):
|
Stage |
Subjects |
Credits |
|
Year 1 |
Mathematics I for AIDA |
3 |
|
Year 2 |
Mathematics II for AIDA |
3 |
|
Programming I: Programming Fundamentals and Applications |
3 |
|
|
Year 3 |
Programming II: Data Structures and Algorithms |
3 |
|
Fundamentals of Data Analytics |
3 |
|
|
Machine Learning |
3 |
|
|
Artificial Intelligence |
3 |
|
|
DSR-AIDA Bridging Subject |
3 |
|
|
Year 4 |
Elective 1 |
3 |
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Elective 2 |
3 |
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Integrated Capstone Project |
6 |
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.
Enquiries
For further programme information, please contact:
The General Office (tel: 2766 5968; e-mail: lsgi.ug@polyu.edu.hk)