Bachelor of Engineering (Hons) Degree in Internet-of-Things (XAI)
.jpg?bc=ffffff&h=250&w=1025&hash=CDF5BDF6A16D7A663CA5BD749105CEDC)
Entrance Year Sept 2025
Programme Code 46409-XAI
Mode of Study Full-time
Fund Type Government-Funded
Credits Required for Graduation at least 132 credits (including credit requirements for Secondary Major)
Programme Leader(s)
Dr YL ChanPhD, MIEEE
Remarks
Remark
- 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 provide the Departmental Entry Academic Scholarships for JUPAS applicants*. Details of the scholarship 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.
Electronic Systems and Internet-of-Things (IoT) are among the key technologies that play important roles in modern-day living. Various sectors, including business, commerce, communication, education, entertainment, healthcare and transportation, require Electronic Systems and IoT for efficient operation. The programme aims to develop graduates with a wide range of professional knowledge and skills relevant to Electronic Systems and Internet-of-Things (IoT). The programme covers leading-edge technologies in electronic engineering, with a focus on IoT and related applications. These include artificial intelligence of things, robotics, sensor technologies, electronic devices and their associated software to sense, measure, interpret, connect and analyse data.
Programme Characteristics
This programme emphasises both theory and application. In the latter part of Year Three, students can use the knowledge that they have acquired to conduct an IoT project. In the Final Year, students can focus on selected areas by choosing relevant electives and completing a Capstone Project.
