Bachelor of Science (Hons) Degree in Artificial Intelligence and Information Engineering
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Entrance Year Sept 2025
Programme Code 46409-AIE
Mode of Study Full-time
Normal Duration 4 years
Programme Intake 56 (for the whole scheme)
Fund Type Government-Funded
Credits Required for Graduation 124 (plus training credits)
Programme Leader(s)
Dr Bonnie LawPhD, 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
This programme consists of the following programmes. 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.
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.
