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Entrance Year Sept 2026

Programme Code JS3180 (46409-AIE)

Mode of Study Full-time

Normal Duration 4 years

Programme Intake around 56 (JUPAS and Non-JUPAS)

Fund Type Government-Funded

Credits Required for Graduation 120 (plus training credits)

Programme Leader(s)

Prof. LAW Ngai-Fong, Bonnie
PhD, SrMIEEE

Remarks

  • Students may pursue a Minor in a different discipline.
  • The credit requirements of this scheme are indicative only. They are subject to review.
  • All information is subject to change without notice.

 

Entry Scholarship

  • To give encouragement and recognition to HKDSE students with outstanding academic performance and to support their studies at The Hong Kong Polytechnic University (PolyU), the Department of Electrical and Electronic Engineering (EEE) at PolyU provides Departmental Entry Academic Scholarships for JUPAS applicants*. Scholarship details can be obtained  here.

 

*Subject to approval

 

Aims and Characteristics

Programme Aims

The Bachelor of Engineering (Honours)/Bachelor of Science (Honours) Scheme in Information and Artificial Intelligence Engineering consists of the following programme. Students admitted to the Scheme study together during the first year and then complete their preferred programme, normally within three years. Under this arrangement, students can make their choice after they have obtained a better understanding of the programmes. 

BSc (Hons) in Artificial Intelligence and Information Engineering

With the rapid expansion and dissemination of information and smart communication technologies in daily life, professionals in the areas of information engineering and artificial intelligence are in great demand. This programme aims at developing graduates into artificial intelligence specialists and professionals in information engineering. The programme covers technological innovations in artificial intelligence and information engineering, focusing on machine perception and data science, as well as applications related to information engineering, such as computer vision, healthcare technology, bioinformatics, natural language processing and automatics and robotics.

Programme Characteristics

This programme offers an effective mix of basic theory, hands-on practice and application. In the latter part of Year Three, students use the knowledge that they have acquired to conduct an artificial intelligence-based Integrated Project. They can focus on their selected areas by choosing relevant electives. In their Final Year, students must complete a Capstone Project.



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