Sept 2024 Entry
2 years
Normally 67 (plus 8 training credits)
The exact credits required for each AD/HD holder will depend on the approved credits transferred.
- For students who are also interested in applying for the “Bachelor of Science (Honours) in Information Security” (46409-SYI) and “Bachelor of Science (Honours) in Artificial Intelligence and Information Engineering” (46409-SYA) programmes, in addition to Bachelor of Engineering (Honours) in Electronic Systems and Internet-of-Things, you should:
- put 2 of these programmes as your 1st and 2nd priority programmes via PolyU eAdmission system on/before the application deadline;
- complete and return the Notification of Interest for 2024/25 Admission form to eee.notice@polyu.edu.hk by the application deadline to indicate the 3rd priority programme you wish the Department to consider.
- The curriculum of this programme, including the credit requirements, will be subject to review regularly.
The exact study duration and number of credits to be studied will depend on the entry qualification of individual AD/HD admittees.
Students can take a number of extra Electives in areas such as accountancy, business, finance or management, among others.
Programme Aims
This programme combines sound scientific principles with engineering applications to help students develop into competent and effective engineering professionals in various essential areas of IoT such as integrated circuit design, electronic circuits, telecommunications, computers, embedded systems, and programming.
Characteristics
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 leading-edge technologies in electronic engineering, with a focus on IoT and related applications.
This programme emphasises both theory and application in learning and teaching. The curriculum includes lectures, projects, presentations, laboratory exercises and various industry training and placement opportunities. After completing the fundamental subjects in Year One, students may choose their professional development specialism by selecting subjects in different areas in Year Two.
The programme curriculum is designed for students who have already studied some fundamental subjects in electronics, engineering science, programming, information technology and mathematics. The Year One curriculum consists mainly of intermediate and advanced subjects in the various areas of IoT such as telecommunications, computers, data and computer communications, integrated circuits, control engineering, embedded systems and programming. In Year Two, students can choose from among a list of advanced technical elective subjects, and complete a capstone project to strengthen their technical knowledge and skills.
Students may also engage in an exchange scheme and earn recognised credits in a university outside Hong Kong for one semester during Year Two.
Professional Recognition
Accreditation has been sought from the Hong Kong Institution of Engineers (HKIE) for the programme.
Career Prospects
The internet of things (IoT) is a fast-developing field throughout the world. According to Fortune Business Insights, the global loT market was valued at US$190 billion in 2018 and is projected to reach US$1,102.6 billion by 2026. However, Immersat Research finds that around 47% of organisations surveyed do not possess sufficient IoT skills and are outsourcing such work. Gartner Research predicts that around 75% of IoT projects may take twice as long as they should because of the shortage of loT talent. In 2020, the Government of the Hong Kong Special Administrative Region published the Hong Kong Smart City Blueprint 2.0, in which the Government put forward over 130 initiatives, many of them related to IoT. This programme aims at training IoT professionals who will meet Hong Kong's pressing manpower need in the emerging IoT area. Students will acquire the necessary professional skills that enable them to contribute to IoT development in Hong Kong and overseas by participating in various loT projects in both public sectors and private companies.
Students are admitted into the senior year programme. They will normally take the following subjects except those for which they receive credit exemption due to fulfillment of similar subjects in their prior study.
1. General University Requirement (GUR) Subjects (3 credits each, unless indicated otherwise)
a. 6 credits in Cluster-Area Requirement (CAR)
Students should not take more than 3 credits from the same cluster area. They also need to fulfil the English and Chinese reading and writing requirements. Students may apply for a waiver if they have fulfilled the English and Chinese reading and writing requirements in their previous studies.
b. 3 credits in Service Learning
c. Language and Communication Requirement (LCR)
Students not meeting the equivalent standard of the Undergraduate Degree Language Communication Requirements (LCR) based on their previous academic performance in AD/HD programmes will be required to take additional credits (6 in English and 3 in Chinese) on top of the programme's normal credit requirements.
d. Essential Components of General Education (a non-credit bearing subject)
Students will be required to take the General Education which comprises of National Education, Online Tutorials in Academic Integrity, Artificial Intelligence and Data Analytics (AIDA) and Innovation and Entrepreneurship (IE) e-modules.
2. Discipline-Specific Requirement (DSR)
a. Compulsory Subjects (3 credits each, unless indicated otherwise)
- Communication Fundamentals
- Computer System Fundamentals
- Data & Computer Communications
- Dynamic Electronic Systems
- Engineering Management
- Capstone Project (6 credits)
- IoT Project
- IoT Security
- Introduction to Internet of Things
- Microcontroller Systems and Interface
- Professional Communication in Chinese (2 credits)
- Professional Communication in English for Engineering Students (2 credits)
- Society & the Engineer
- Wireless and Mobile Systems
b. Industrial Centre Training (8 Training Credits)
Industrial Centre Training I for EIE (5 training credits) and Multidisciplinary Manufacturing Project (3 training credits)
c. 12 credits of Elective Subjects (3 credits each, unless indicated otherwise)
- Artificial Intelligence of Things
- Computer Vision & Pattern Recognition
- Deep Learning and Deep Neural Networks
- Digital Forensics for Crime Investigation
- Digital Signal Processing
- Distributed Systems and Cloud Computing
- Fundamentals of Machine Intelligence
- Healthcare Technology
- Image & Audio Processing
- Introduction to VLSI and Computer-Aided Circuit Design
- IP Networks
- Linear Systems
- Mobile Device System Architecture
- Mobile Networking
- Mobile Systems and Application Development
- Modern Robot
- Multimedia Communications
- Multimodal Human Computer Interaction Technology
- Network Security
- Object-Oriented Design & Programming
- Optical Communication Systems & Networks
- Power Conversion Technology for Energy Harvesting
- Web Systems and Technologies
- Wireless and Mobile Systems
C. Work-Integrated Education (A minimum of 1 WIE credit)
Two weeks of full-time employment for 1 WIE credit
More information on the subjects offered can be obtained here.
Normally 67 (plus 8 training credits)
The exact credits required for each AD/HD holder will depend on the approved credits transferred.
Dr K.H. Loo
BEng, PhD, MIEEE
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An Associate Degree or a Higher Diploma in Engineering, Electronic Engineering, Information Engineering, Communication Engineering, Electrical Engineering, Computer Engineering or a similar discipline with appropriate subject areas in electronic and information engineering.
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In addition to academic results, the relevance of the subjects that the applicants have already studied, applicants’ communication skills, participation in extracurricular activities and interview performance will be considered.
For further programme information, please contact:
The General Office (tel: 2766 6211/2766 6223; email: eee.notice@polyu.edu.hk).
It's been an honour to graduate from the Electronic and Information Engineering (EIE) degree programme. The invaluable lessons learned from all the professors, instructors and tutors had greatly benefited me, not to mention the all-rounded facilities and support provided by the department.
An integrated project in the curriculum had provided us an opportunity to learn electronics. I had a chance to assemble a robotic car and programme it to track a line and complete various tasks. This project had equipped me with solid knowledge in electronic components, embedded system and programming skills.
It is more exciting upon reaching the final year when a range of elective subjects are available. These subjects cover topics like computer vision, cloud computing, and network security, which are highly related to modern technologies like AI, AWS and TLS, to name a few.
In addition to the technical foundations that this course had provided, I also had the opportunity to collaborate with talents from other fields. For example, multidisciplinary manufacturing project required students from different fields to work collaboratively on a cross-displinary project; similarly, multidisciplinary final-year project required students from different fields to work collaboratively on a larger scale and more challenging project.
With the technical knowledge gained and all-rounded training received from EIE, I feel that I am well-prepared to face the era of the metaverse.
Required
To conduct an all-round (academic and non-academic) evaluation of the interests, achievements and ability of applicants.
About 15-30 minutes
Selected applicants will be invited to interview, if necessary.
