Artificial Intelligence and Data Analytics (AIDA)

Programme Overview

The BEng (Hons) in Building Sciences and Engineering plus the Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is designed in response to the rapidly developing fields of artificial intelligence and data analytics that are currently gaining unprecedented traction in the industry as well as generating demand for qualified professionals in the job market. By integrating within the student’s major discipline, this secondary major aim to produce the next generation of graduates skilled with AI computational thinking and data analytics acumen in their chosen discipline to meet the needs of society, help improve efficiencies and augment human capabilities.

Programme Code
(33483-XAE)

Credit Required for Graduation
(164 credits)/(143 credits after double-counting)

Programme Leader(s)
(Dr Cheung Hiu Dan Hilda
BEng (Hons), PhD, MHKGBC, BEAM Pro)

Programme Structure

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

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

Credit requirement for the graduation of BEng (Hons) in Building Sciences and Engineering with a Secondary Major in Artificial Intelligence and Data Analytics (AIDA):

Major Requirements	63 academic credits
Free Elective Requirements	6 academic credits
General University Requirements	27 academic credits
Training Requirements	11 training credits
Secondary Major Requirements	36 academic credits (18 academic credits, 12 credits double fulfilled in Major Requirements and 6 credits fulfilled by the subject BSE4728)
Healthy Lifestyle	Non-credit bearing co-curricular activities
Essential Components of General Education	Non-credit bearing co-curricular activities
Credit requirement for graduation	143 (132 academic credits + 11 training credits)

^ Students only need to complete 12 additional credits to obtain the award option of "A Major plus a Secondary Major in AIDA”.

For further details of the programme requirements, please refer to the PRD.

Indicative Progression Pattern

Stage	Programme Structure	Subject Code and Title	Credits
Year 2	Fundamentals of Data Analytics	*AMA1611 Data Analytics Fundamentals	(3)
	Mathematics I for AIDA	AMA1110 Basic Mathematics I – Calculus and Probability & Statistics	(3)
	Mathematics II for AIDA	AMA1751 Linear Algebra	(3)
	Programming I: Programming Fundamentals	COMP1012 Programming Fundamentals and Applications	(3)
	Programming II: Data Structures and Algorithms	COMP2013 Data Structures and Algorithms	(3)
Year 3	Machine Learning	COMP4432 Machine Learning	(3)
	Artificial Intelligence	COMP4431Artificial Intelligence	(3)
	DSR-AIDA Bridging Subject 1	*BSE3610 Computational Methods in Building Sciences and Engineering	(3)
	DSR-AIDA Bridging Subject 2	*BSE4510 Building Automation and Control	(3)
Year 4	Integrated Capstone Project	BSE4728 Integrated Capstone Project	(6)
	Elective	*One*subject from below: BSE458 Building Performance Diagnosis and Management BSE4610 Building Informatics *Other Departments* other elective subjects in the subject pool	(3)
	Total		36

* Double count subjects

Enquiries

Department of Building Environment and Energy Engineering

ZS867
27665847
beenquiry@polyu.edu.hk