Sept 2024 Entry


2 years


Normally 67 (plus 5 training credits)
The exact credits required for each AD/HD holder depend on the approved credits transferred.

6 senior year places
  • For students who are also interested in applying for the “Bachelor of Science (Honours) in Information Security” (46409-SYI) and “Bachelor of Engineering (Honours) in Electronic Systems and Internet-of-Things” (46409-SYE) programmes, in addition to Bachelor of Science (Honours) in Artificial Intelligence and Information Engineering, you should:
    1. put 2 of these programmes as your 1st and 2nd priority programmes via PolyU eAdmission system on/before the application deadline;
    2. complete and return the Notification of Interest for 2024/25 Admission form to 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, is subject to review.
  • The exact study duration and number of credits to be studied will depend on the entry qualification of individual AD/HD admittees.

Application Deadline
Non-JUPAS Local Senior Year Admissions
About Programme
Specific Notes
How to Apply
Aims & Characteristics

Programme Aims
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 students 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.

Specifically, the programme aims at producing graduates with the following attributes:

  • a wide range of professional knowledge and skills relevant to Artificial Intelligence and Information Engineering. These include 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 robotics;

  • creativity and innovation;

  • adaptability to changing technology and society, and

  • all-rounded attributes.



The Programme offers an effective mix of basic theory, hands-on practice and application examples. In the latter part of Year One, 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

Students can join an exchange programme through which they study in an overseas institution for one semester. Financial subsidies may be provided by the Faculty of Engineering. The exchange programme provides an excellent opportunity for students to study abroad and broaden their horizons, and allows them to appreciate the cultures of other countries.

Recognition & Prospects

Professional Recognition

Accreditation will be sought from the Hong Kong Institution of Engineers (HKIE) for the programme.



Career Prospects

Information engineering encompasses vital technologies that support worldwide economic growth. With the increasing popularity of and technological advances in artificial intelligence, products and services with intelligent features are in great demand, and new models and apps are being developed every day. Upon graduation, students will possess sufficient knowledge to commence careers in the following areas:

  • Smart mobile communications services -e.g., network engineer, telecommunication engineer.
  • Software I Mobile apps developments - e.g., software engineer, mobile app developer.

  • Internet-related business via the use of cloud technologies and data analytics - e.g., data scientist and engineer, intelligence system engineer.

  • Data centres - big-data developer, cloud engineer.

  • AI-related applications and development - e.g., AI specialist, machine-learning engineer.



Students are admitted into the senior year programme. They will normally take the following subjects except those who are given 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)

  • Big Data Analytics

  • Capstone Project (6 credits)

  • Computer System Principles

  • Data and Computer Communications

  • Digital Signals and Systems

  • Engineering Management

  • Fundamentals of Machine Intelligence

  • Integrated Project

  • Introduction to Internet of Things

  • IP Networks

  • Mobile Systems and Application Development

  • Professional Communication in Chinese (2 credits)

  • Professional Communication in English for Engineering students (2 credits)

  • Society and The Engineer

b. Industrial Centre Training (5 Training Credits)

c. 15 credits of Elective Subjects (3 credits each, unless indicated otherwise)

  • Artificial Intelligence of Things

  • Computer Vision and Pattern Recognition

  • Deep Learning and Deep Neural Networks

  • Digital Video Production and Broadcasting

  • Distributed Systems and Cloud Computing

  • Healthcare Technology

  • Image and Audio Processing

  • Machine Learning in Cyber-security

  • Mobile Networking

  • Multimedia Communications

  • Multimodal Human Computer Interaction Technology

  • Network Security

  • IoT Security

  • Optical Communication Systems and Networks


3. 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.

Credit Required for Graduation

Normally 67 (plus 5 training credits)
The exact credits required for each AD/HD holder depend on the approved credits transferred.

Scheme/Programme Leader(s)

Dr Bonnie Law

Entrance Requirements
  • An Associate Degree or a Higher Diploma in Information Technology, Computer Science, Engineering, Electronic Engineering, Information Engineering, Communication Engineering, Electrical Engineering, Computer Engineering or other similar disciplines.

  • In addition to academic results, applicants’ communication skill, participation in extra-curricular activities and interview performance will also be considered.


For more programme information, please contact:

The General Office (tel: 2766 6211 / 2766 6223; email:

Student Message

Reflecting on my vibrant journey with Internet and Multimedia Technologies (IMT)*, it's inspiring to see how far I've come, from being a budding enthusiast to an empowered innovator, navigating the rich terrain of the internet and multimedia.

IMT provided a colorful canvas, where my fellow students and I painted our learning journey with strokes of circuit board design, signal processing, web, and 3D game development, all the way to the pulse of AI. This well-rounded exploration opened new horizons of knowledge, crafting a sense of wonder in us, making learning an enjoyable exploration rather than a mundane process.

Our technical electives sparked curiosity, inviting us to dive deeper, while our Final Year Project served as a testament to our evolution. The projects varied, from eye-catching 3D software to AI applications that can enhance everyday life, symbolizing the profound and diverse impacts we can make.

Yet, the true cornerstone of our IMT experience was our empathetic faculty. Their dedication was pivotal, nurturing an environment that fanned the embers of our academic curiosity and transforming them into a research wildfire.

As IMT graduates, we step into the world not just as degree-holders, but as eager explorers and tomorrow's game-changers.
*Former programme title of BSc (Hons) in Artificial Intelligence and Information Engineering


PAN Yuchen

Studying the Bachelor of Science in Internet and Multimedia Technologies (IMT)*programme gave me a solid foundation in computer science and multimedia processing. The solid foundation has enabled me to delve into complex systems and think critically.

The EIE Department provided many opportunities to let students apply theory to practice beyond the classrooms. I am glad that I was involved in RoboCon and VR contests during my study, in which I acquired technical skills and developed the mindset of a professional engineer. The academic environment also raised my interest in research. I was lucky to work with Dr. Bonnie Law, Programme Leader of BSc in IMT, in the Undergraduate Research and Innovation Scheme (URIS) programme to learn about the creation of knowledge. In addition, I also had an opportunity to be a research assistant and contribute in Prof. Wan-Chi Siu's research group during my study gap year. These experiences were precious and helped me to develop my interest in Computer Vision. I am now well prepared to pursue the master's program in Electrical and Computer Engineering at the University of Waterloo. I firmly believe that my four-year study in this undergraduate programme has given me a head start on my career.
*Former programme title of BSc (Hons) in Artificial Intelligence and Information Engineering

KU Wing Fung Max
Additional Documents Required
Transcript / Certificate


Programme Leaflet
Interview Arrangement

To conduct an all-round (academic and non-academic) evaluation of the interests, achievements and ability of applicants.

Date of Interview
November to August

About 15-30 minutes

Individual/ Group Interview

Selected applicants will be invited to interview, if necessary.

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