Higher Diploma in Industrial Internet of Things

Introduction
To align with the specific directions and goals for the development of innovation and technology in Hong Kong, HKCT has launched the Higher Diploma in Industrial Internet of Things (IIoT) programme. The programme focuses on cultivating students' practical skills in the field of IoT.

To align with Hong Kong's positioning as an International Innovation and Technology Hub, the government has been vigorously promoting Re-industrialization/New Industrialization in recent years and has initiated a series of innovation and technology infrastructure projects. The promulgation of Hong Kong Innovation and Technology Development Blueprint at the end of 2022 has set specific directions and goals for the development of innovation and technology in Hong Kong. To meet this trend, HKCT has launched the first Higher Diploma in Industrial Internet of Things (IIoT) programme in Hong Kong. The programme focuses on cultivating students' practical skills in the field of IoT, enabling them to master innovative knowledge in IoT, cloud computing, data analytics, 5G, and more, and nurtures the students to become the talents for the development of innovation and technology in Hong Kong.

Programme Objectives and Intended Learning Outcomes

Professional Qualification

The programme is recognized by The Hong Kong Computer Society. Full-time mode students are qualified to be HKCS Student Member, and upon graduation, they may consider applying for Associate Member. 

Contents

Programme Features

  • The First Ever in Hong Kong: The first and only Industrial Internet of Things (IIoT) sub-degree programme accredited at Hong Kong Qualifications Framework Level 4 in Hong Kong.
  • State-of-the-art Equipment: The ‘Internet of Things Terminal Security Lab' and 'Industrial Internet of Things Training Centre' were established to support teaching activities and provide hands-on opportunities. Students can learn about Internet of Things concepts and technologies, such as Smart Manufacturing, Digital Twin, Wireless Technologies, Cloud Computing, Data Analytics, and Sensors through professional equipment in laboratory.
  • IoT Applications: Allowing students to apply their knowledge of the Internet of Things in various fields such as smart homes, autonomous driving, medical monitoring, supply chain management in retail, industrial equipment monitoring, and production line optimisation.
  • Strong Industry Ties: The programme is supported by renowned local and mainland technology companies and strategic partners, including but not limited to Alibaba, Topsec Technologies Group, Sangfor Technologies, Integrity Technology Group, Palo Alto Networks, China Mobile and LUCULLUS. These companies will provide support in terms of networks and facilities and offer exchange and training opportunities, internships, and career development to our students in Hong Kong and the Greater Bay Area.
  • Renowned Academic Partners: We have jointly established a 'Joint Laboratory for Aerospace Security and Human Factors Engineering' with Tsinghua University to promote research and teaching. Additionally, we have collaborated with 'The School of Cyber Science and Technology (SCST) at Zhejiang University' and 'Shandong University of Science and Technology' to work together on talent exchange and development, and to collaborate on the development of professional skills, product manufacturing, research, and technology exchange.

Featured Modules

  • Introduction to IIoT and Smart Manufacturing
  • Embedded Systems
  • Programming for IoT
  • Cloud Computing
  • Sensor Technology Principle and Applications
  • Wireless Communications and Applications

Full Programme Modules

Programme Video

Graduation Path

Industrial Internet of Things is an interdisciplinary discipline, involving knowledge in communication technology, sensor technology, network technology, etc. 

  • Graduates can articulate to overseas and local bachelor’s degree programmes(Senior year entry) in Internet of Things or Information Technology.

    Graduates may apply for the following top-up bachelor's degree programmes:

    The University of Hong Kong
    - BASc Applied Artificial Intelligence
    - BEng Computer Science
    - BEng Data Science and Engineering

    The Chinese University of Hong Kong
    - BSc Computer Science
    - BEng Artificial Intelligence - Systems and Technologies

    The Hong Kong University of Science and Technology
    - BSc Computer Science
    - BSc Data Science and Technology

    The Hong Kong Polytechnic University
    - BSc (Hons) Scheme in Information and Artificial Intelligence Engineering
    - BSc (Hons) Computer Science

    City University of Hong Kong
    - BSc Computer Science

    The Education University of Hong Kong
    - BSc (Hons) Artificial Intelligence and Educational Technology

  • Graduates may pursue a career related to Internet of Things or Information Technology such as communication, wireless sensors, design/ development/ management and maintenance of information security.
Internship

The programme is supported by the numerous renowned mainland and local technology companies which provide exchange and training opportunities, internship and career development in Hong Kong and the Greater Bay Area to students.

Programme Details
Mode of Study

Full Time

Teaching Mode

Face to face

Commencement of Study

Sep 2025

Duration

24 Months

Location
Entry Requirements

Local Students

  1. Attained Level 2 in 5 HKDSE subjects*, including Chinese^ and English [each applicant is allowed to use not more than two Applied Learning subjects at ‘Attained’ level as equivalent to Level 2 in the application] ; or
  2. Holder of Diploma Yi Jin/ Diploma of Applied Education; or
  3. Holder of Diploma and 
    - the qualification should be awarded by one of the local or overseas recognised tertiary institutions/ post-secondary colleges; and 
    - the length of study is at least 450 teaching hours; or 
  4. Aged 21 or above with 1 year working experience; or 
  5. Equivalent qualifications; 
    AND 
  6. Pass the admission interview. 

* ‘Attained’ in ‘Citizenship and Social Development’, or the attainment of ‘Level 2’ in Mathematics Extended Part (Module 1 or Module 2) is also recognised as one of the five HKDSE subjects.
^ ‘Attained’ level of Applied Learning Chinese (for non-Chinese speaking students) is accepted as Chinese Language qualification for the admission, but it is not considered as an elective subject.

Mainland Students

Attained satisfactory results in National University Entrance Examination (GaoKao), including English (English Language Public Examinations accepted by HKCT); or equivalent qualifications.

Mainland students meeting the above requirements can apply for the first year admission and need to pass the admission interview.

For more information, please visit Mainland Students Support.

IoT Terminal Security Lab

IoT Terminal Security Lab
The laboratory is divided into three key areas: firmware maintenance for IoT devices, 5G mobile communication operations, and IoT terminal testing. It offers a comprehensive experimental environment that facilitates IoT hardware disassembly, firmware extraction, and maintenance. The lab includes advanced 5G communication simulation networks featuring the 5G core network, base stations, and RF terminals, along with testing capabilities for IoT device tags. Additionally, the laboratory is equipped with smart locks, human sensors, and a real-time monitoring platform, creating a fully functional IoT system in practice.

IIoT Engineering Training Centre

IIoT Engineering Training Centre
The centre is equipped with a wide range of popular Internet of Things (IoT) main control boards, including Arduino UNO, ESP8266, ESP32, Raspberry Pi, 8051, and other computer chips. It also features an extensive selection of sensors and actuators, such as temperature and humidity sensors, human infrared sensors, ultrasonic sensors, joysticks, and servos. These components enable the implementation of complex and diverse smart home scenarios and smart parking systems. Additionally, the centre is outfitted with various laser radars and cameras, providing students with hands-on opportunities to explore and experience autonomous driving technology.

Teaching Team

Prof. DING Yong, Dean of Institute of Cyberspace Technology

Associate Prof. QU Bo, Associate Dean of Institute of Cyberspace Technology

Dr TANG Yajuan

Mr HO Chun Wah

Dr ZHANG Ruoqing

Dr XU Zhiyu

Prof. LI Dawei

Dr PENG Bo

Prof. PENG Zhiniang

Programme Advisor

Mr Wilson CHONG
Chairman, IoT HK Association

Mr Christopher LAI
Executtive Director, Lucullus Group

QF Level
The qualification of this programme is recognised under the Qualifications Framework in Hong Kong.
QF level:4
QR Registration No.:23/000525/L4
Registration Validity Period:1/9/2023 to 31/8/2026

Applicants who do not meet the entry requirement may apply for a 1-year Diploma of Applied Education (listed below) and articulate to this higher diploma programme.

Tuition fees and subsidies are to be reviewed and adjusted annually on various factors.