Bachelor of Science (Hons) Degree in Artificial Intelligence and Information Engineering
Entrance Year Sept 2024
Programme Code 46409-AIE
Stream Code 46409-AIE
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)
Dr Bonnie Law
BEng, PhD, SrMIEEE
- 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.
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
Following the rapid expansion and dissemination of information and smart communication technologies in our 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.
Programme Characteristics and Intended Learning Outcomes
The Programme offers a good mix of basic theory, hands-on practice and application examples. In the latter part of Year Three, students make use of the knowledge that they have acquired to conduct an artificial intelligence-based Integrated Project. They can focus on selected areas by choosing relevant electives. In the Final Year, students must complete a Capstone Project.
Students can join an exchange programme that allows them to study in an overseas institution for one semester. Financial subsidies may be provided by the Faculty of Engineering. The exchange programme offers an excellent opportunity for students to study abroad and broaden their horizons and allows them to appreciate the cultures of other countries.
On successful completion of the Programme, students will be able to:
Category A Professional/Academic Knowledge and Skills
1. Understand the fundamentals of mathematics, 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 artificial intelligence and information engineering.
5. Use modern engineering/IT tools appropriate to artificial intelligence and information engineering.
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. Recognize social, professional and ethical responsibility.
9. Communicate effectively.
10. Recognize the need for and engage in life-long learning.