Bachelor of Engineering (Hons) in Information Engineering
JUPAS CODE
To Nurture Engineering Leaders for Building a Connected
Sensors, Internet-of-Things, Cyber-Physical Systems
Information Theory, Coding Theory, Network Optimization
Cyber Security, Cryptography, Privacy, Blockchain, E-Payment
Multimedia, Computer Vision Cloud/Edge Computing
The IERG programme o ers students the greatest exibility to pursue their career goals by developing their specialities. The IERG programme o ers ve Streams of Specialization Students may opt for one or two streams of specialization to facilitate their job hunting.
Wireless & Optical (Beyond-5G) Communications, Computer Networks
Arti cial Intelligence, Big-Data Analytics, Machine Learning
TRANSMISSION ANALYSIS
Connected and Secure Smart Society of the Future
Curriculum
Problem Solving by Programming, Linear Algebra, Multivariable Calculus, Intro to Information Engineering, Intro to Systems Programming, Intro to Python for Engineering Applications
Discrete Mathematics, Complex Variables, Data Structures, Signals and Systems, Basic Analog and Digital Systems, Probability Models and Applications, Electronic Circuit Design Lab Principles of Communication Systems, Communications Lab
Web Application or Mobile Network Application Development
Computer Networks, Information and Software Engineering Practice, Microcontrollers and Embedded Systems, Information Infrastructure Design
Final Year Projects I & II and Major Electives
60+ Major Electives for students to choose, from the elds of Big Data, Information Processing, Cyber Security, Internet Engineering, Telecommunications, Computer Networking, Software Engineering and more!
Career Prospects
The IERG programme equips our students with well-rounded engineering knowledge and solid experience in innovative technologies. They are of the highest caliber and committed to study and work. Our graduates have established excellent reputations in the industry and have embarked on promising careers. Around 10% of our fresh graduates continue for full-time studies every year.
Job Nature of IE Graduates in 2023
Job Nature of IE Graduates in 2023
* Percentages might not total 100% due to rounding. Statistics based on the survey conducted with IE graduates in May 2024.
Admission Channels
JUPAS
For HKDSE applicants, admission is based on the results of your Best 5 subjects with weighting indicated on the table:
English Language
Chinese Language
Mathematics (Compulsory Part)
Citizenship and Social Development
Mathematics Extended Module I or II
Biology / Chemistry / Physics / Design and Applied Technology / Information and Communication Technology
All other Elective Subjects
Non-JUPAS (Local)
For local applicants who are not using the HKDSE results for admissions purposes, such as Associate Degree/ Higher Diploma, GCE-AL, IB, SAT/AP and other overseas quali cations recognised by our university.
International
For non-local applicants with international quali cations such as GCE-AL / International-AL, IB, and other high school quali cations from a recognised institution.
Non-JUPAS (Senior Year Entry)
Local applicants who possess Associate Degree/Higher Diploma quali cations may apply for Senior Year admission.
Mainland
Mainland China students who are current Gaokao candidates (应届高考生) must apply through the National Colleges and Universities Enrolment System (全 国普通高校统一招生计划).
Note: Applications of the Non-JUPAS and International schemes will be assessed on a case-by-case basis.
Testimonials
The lab courses seamlessly merge theory and practice, deepening my understanding and application of knowledge. These labs have honed my problem-solving skills, critical thinking, and attention to detail—skills that have been invaluable in my continued studies and work.
2024 IERG graduate. Currently an MSc Student in Engineering at Imperial College London
The IE program has provided me with a valuable opportunity to explore the world of communication between humans and machines. From theoretical lessons on how to store information using di erent kinds of signals to hands-on experiences, such as training an unbeatable AI player in board games using reinforcement learning, there has always been an interesting project to work on.
dept@ie.cuhk.edu.hk
CHEN Tingzhu
TSE Wai Kin