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Bachelor of Engineering (Hons) Degree in Electronic Systems and Internet-of-Things

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Entrance Year Sept 2024

Programme Code 46409-ESI

Stream Code 46409-ESI

Mode of Study Full-time

Normal Duration 4 years

Programme Intake 68 (for the whole scheme)

Fund Type Government-Funded

Credits Required for Graduation 124 (plus training credits)

Programme Leaders Dr K.H. Loo


  • The credit requirements of the programme are indicative only. They are subject to review.
  • Students can take a number of extra electives to earn a Minor Award in areas such as applied mathematics, accountancy, business, finance or management, among others.
  • The option of Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is available to the students of BEng (Hons) in Internet-of-Things (a variant of BEng (Hons) in Electronic Systems and Internet-of-Things). Admission to the Secondary Major is on competitive basis and subject to a different credit requirement for graduation. Please see "Secondary Major Details" section for more details.


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 launched the “EEE Academic Entrance Scholarship for Outstanding HKDSE Admittees” in the 2016-17 academic year. Details of the scholarship are given in the information sheet, which can be viewed here.

Aims and Characteristics

Programme Aims

The proposed programme aims at developing students into professionals in the fields of electronic and communication engineering with specialisms in the Internet-of-Things (IoT). The programme covers the leading edge technologies in electronic engineering, with a special focus on IoT and related applications.


This Programme aims at producing graduates with:

1. a wide range of professional knowledge and skills relevant to Electronic Systems and Internet-of-Things. These include artificial intelligence of things, robotics, sensor technologies, electronic devices, and their associated software to sense, measure, interpret, connect, and analyse data;

2. creativity and innovation;

3. adaptability to changing technology and society; and

4. all-rounded attributes.


Programme Characteristics and Intended Learning Outcomes

This programme emphasises both theory and applications. The curriculum includes the following components:

  • lectures;
  • tutorials;
  • hands-on laboratory classes;
  • Industrial Centre training;
  • projects (individual and group);
  • presentations; and
  • various industry placement opportunities.


On successful completion of the programme, the students will be able to:


Category A Professional/Academic Knowledge and Skills

1. Understand the fundamentals of science and engineering and have the ability to apply them.

2. Design and conduct experiments, as well as to evaluate the outcomes.

3. Design systems, components and processes to meet given specifications and constraints.

4. Identify, formulate and solve problems relevant to Electronic Systems and Internet-of-Things.

5. Use modern engineering/IT tools appropriate to Electronic Systems and Internet-of-Things practice.

6. Know the contemporary issues and understand the impact of engineering solutions in a global and societal context.


Category B Attributes for All-roundedness

7. Work with others collaboratively in a multi-disciplinary team and have a knowledge of leadership.

8. Recognise social, professional and ethical responsibility.

9. Communicate effectively.

10. Recognize the need for and engage in life-long learning.


Students may choose to engage in overseas exchange schemes and earn recognised credits in a university outside of Hong Kong for one semester.


The programme also provides workplace training opportunities for students to gain work experience within and outside Hong Kong through Work-Integrated Education (WIE).

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