| Programme Short Name | Study Mode | Normal Period of Study | JUPAS Code | EdUHK Programme Code |
|---|---|---|---|---|
| BSc(AI&EdTech) | Full-time | 4 Years (Year 1 Admissions) 2 Years (Senior Year Admissions) |
JS8714 | A4B095 |
| Enquiry (Admissions) | Enquiry (Programme) | Programme Website |
|---|---|---|
| (852) 2948 6886 Submit Your Enquiry |
Dr Cheung Ho Yin Haoran |
Programme Website |
Programme Introduction
The BSc(AI&EdTech) programme is designed to meet the growing societal demand for professionals in artificial intelligence and educational technology, while actively responding to the continuous evolution of education and other industries in the era of digitalization and intelligence. It aims to:
- provide students with fundamental knowledge and skills in artificial intelligence and educational technology;
- develop students’ ability in applying knowledge of artificial intelligence and educational technology appropriate to teaching and learning;
- build up students’ skills in using appropriate methods of artificial intelligence and educational technology to approach and solve real-world problems in educational contexts; and
- equip students with the capacity to conduct and evaluate educational projects supported by ethical use of artificial intelligence and educational technology.
Programme Features
Industry-Relevant Skills
Equips students with technical knowledge in AI, including machine learning, neural networks, natural language processing, computer vision, and data science, along with essential skills for diverse career paths
Interdisciplinary Focus
Integrates AI with educational technology, preparing students for careers at the intersection of these fields
Hands-on Learning
Emphasises practical experience through internships, projects, and lab work, enabling students to apply their skills in real-world settings
Programme Structure
| Domain | Credit Points (cps) | |
|---|---|---|
| Year 1 Admissions | Senior Year Admissions | |
| Major | ||
| - Major Core | 33 | 15 |
| - Major Electives | 6 | 6 |
| - Major Interdisciplinary Course | 3 | 3 |
| - Living and Working in Our Country | 3 | / |
| - Cross-Faculty Core Course | 3 | 3 |
| - Internship | 6 | 6 |
| Final Year Project (Honours Project / Capstone Project) | 6 | 6 |
| Second Major / Minor / Electives | 30 | 15 |
| General Education | 22 | 6 |
| Language Enhancement | 9 | / |
| Total: | 121 | 60 |
Notes:
(1) Classes will be held in Tai Po Campus and Tseung Kwan O Study Centre / North Point Study Centre / Sports Centre / Kowloon Tong Satellite Study Centre as decided by the University.
(2) Students admitted into this programme are required to visit the Greater Bay Area (GBA) and/or other parts of Mainland China. The programme may also require students to participate in other non-local learning experience for completion of the programme. While the visits are subsidised, students are required to contribute part of the estimated cost of the visits ("students’ contribution"), whereas any personal entertainment, meals expenses, travel document fee and personal insurance costs shall be at students’ own expense. The estimated cost of the visits and students’ contribution for students admitted to the coming cohort is yet to be available due to a variety of factors such as inflation of cost of the visits, trip duration, traveling expenses, the exchange rate, etc.
Internship / Overseas Study Opportunities
A unique feature of the programme is the inclusion of internships at technology companies and educational organisations. The internship provides students with hands-on experience, enabling them to apply their knowledge and skills in key areas such as machine learning, natural language processing, computer vision, educational technology, and data analytics. Through this opportunity, students will tackle practical challenges, build professional networks, and gain insights into industry operations. This immersive experience enriches their knowledge and provides a solid foundation for their future careers in artificial intelligence and educational technology.
Career Prospects / Professional Recognition
Graduates of this programme will be well-prepared for technical and support roles across various sectors, such as AI engineers, data scientists, software engineers, e-learning developers, educational technology specialists, and teaching assistants. Graduates can pursue roles in the IT industry, schools, educational technology companies, IT-related positions in other industries, as well as government and non-governmental organisations.
With experience, graduates have the potential to advance to leadership roles such as systems analysts and educational technology managers. Additionally, the programme provides a strong foundation for graduates who are interested in pursuing postgraduate studies in artificial intelligence, education, or information technology.
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