BEng (Hons) in Civil Engineering (Smart Mobility) with a Secondary Major in AIDA (31476-XAS)
Entrance Year 2025
Programme Code 31476-XAS
Credits Required for Graduation (141 credits and 9 practical training credits)
Aims and Characteristics
Programme OverviewHong Kong is a global financial centre, a fast-growing tourism city, and an international shipping and aviation hub. Thus, Hong Kong has a great need for a smart, seamlessly integrated, and multimodal mobility system that connects it with the nation and the world. This programme aims to equip a new generation of engineers with a mastery of knowledge and skills in civil engineering, transportation engineering, data analytics, and machine learning, such that they will become leaders in smart mobility development.
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.
|
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) |
|
Electives |
3-6 |
(Credit Requirements: 36 credits including at least 50% of the subjects should be at Level 3 or above.)
For further details of the programme requirements, please refer to the PRD.
Proposed Study Pattern:
|
Stage |
Programme Structure |
Subject Code and Title |
Credits |
|
Year 1 |
Mathematics I for AIDA |
AMA1140 Mathematics for Construction and Environment* |
3 |
|
Year 2 |
Mathematics II for AIDA |
AMA1501 Introduction to Statistics for Business |
3 |
|
Programming I: Programming Fundamentals |
COMP1012 Programming Fundamentals and Applications* |
3 |
|
|
Year 3 |
Fundamentals of Data Analytics |
DSAI1102 Data Analytics Fundamentals |
3 |
|
Programming II: Data Structures and Algorithms |
DSAI2201 Data Structures and Algorithms |
3 |
|
|
DSR-AIDA Bridging Subject 1 |
CSE30313 Machine Learning Practice in Smart Mobility |
3 |
|
|
Machine Learning |
DSAI4203 Machine Learning |
3 |
|
|
Year 4 |
Machine Learning |
DSAI4203 Machine Learning |
3 |
|
Artificial Intelligence |
COMP4431 Artificial Intelligence |
3 |
|
|
Integrated Capstone Project |
CSE49407 Integrated Capstone Project* |
6 |
|
|
Elective 1 |
|
3 |
|
|
Elective 2 |
|
3 |
*: Double counting subjects
For general enquiries, please contact:
Mr Andy Mok
Tel: (852) 27664482
Email: chi-ho-andy.mok@polyu.edu.hk
Department of Data Science and Artificial Intelligence
Tel: (852) 3400 3378
Email: dsai.ug@polyu.edu.hk
Prof. Wei Ma
Tel: (852) 2766 6069
Email: wei.w.ma@polyu.edu.hk
Personal Website: http://polyu-mobility-ai-lab.com/