Information Technology
- Bachelor of Computer Science
- Bachelor of Science (Honours) in Artificial Intelligence
- Bachelor of Science (Honours) in Smart-City Technology and Urban Informatics
- Associate of Science in Network and Systems Administration
- Associate of Science in Information Systems Development
- Higher Diploma in Application Systems Development
- Higher Diploma in Computer Network and Systems Administration
Bachelor of Science (Honours) in Artificial Intelligence
Artificial Intelligence
The Bachelor of Science (Honours) in Artificial Intelligence is an application-oriented programme aimed at providing students with a sound understanding of artificial intelligence (AI) technologies and its applications. The students will be able to apply comprehensive knowledge and the latest skills to create AI products and implement AI solutions to enhance productivity and facilitate strategic decision-making in selected industries.
APPLY NOW- PROGRAMME INFORMATION
- Multi-faceted Articulation Pathways
- Admission
- Entry requirements
- Fees & Financial Assistance
Programme information
| FACULTY | Faculty of Science and Technology |
| PROGRAMME | Bachelor of Science (Honours) in Artificial Intelligence |
| PROG. CODE | BSCAI |
| CAMPUS | Tai Wai |
| QF LEVEL | 5 |
| DURATION | 4 years 2 years (Snr yr entry) |
| CREDIT UNITS | 120CUs (4yrs) 60CUs (2yrs) |
| AWARD TYPE | Bachelor Degree |
| QR REF/ VALIDITY PERIOD | 21/000490/L5 01/09/2021-31/08/2026 |
This programme is accredited by the Hong Kong Council for Accreditation of Academic and Vocational Qualifications.
Programme leaflet
Programme Leaflet of the BScAI programme in 2024-25
Programme enquiry
For enquiries, please contact Faculty of Science and Technology (Telephone No: 2707 3232 or Email: uowchk-fst@uow.edu.au).
For year one entry, please apply E-APP (for HKDSE 2024/25 only) / UOWCHK ONLINE APPLICATION SYSTEM (for NON-DSE / mature student).
For Senior Year entry, please apply via YEAR 3 ENTRY.
By Post / In Person (Application Form)
A range of admission options are available for students of different academic backgrounds. Click here for more information on admissions procedures.
For admission to bachelor’s degree programmes, applicants must meet the following requirements:
Year 1 Entry
| Core Subjects | Elective Subject(s) | ||||
|---|---|---|---|---|---|
| HKDSE Subjects | Chinese Language | English Language | Mathematics Compulsory Part | *Citizenship and Social Development | Any 1 Elective |
| Level Requirement | 3 | 3 | 2 | Attained | 2 |
- * Applicants with previous HKDSE subject result of A040 ‘Liberal Studies’ will be used as the alternative of the core subject requirement of A045 ‘Citizenship and Social Development’.
- HKDSE Category B subjects (Applied Learning) with attainment at “Attained” or above will be considered as elective subjects.
- Category C subjects (Other Language Subjects) including French, German, Hindi, Japanese, Spanish and Urdu: Grade E or above;
OR
- Obtained passes in AS Use of English and AS Chinese Language and Culture plus one AL subject / two AS subjects in HKALE, and passes in five subjects in HKCEE including Chinese Language and English Language; OR
- Obtained equivalent qualifications.
Note
For non-Chinese speaking applicants who
- have learnt Chinese Language for less than six years while receiving primary and secondary education; OR
- have learnt Chinese Language for six years or more in schools, but have been taught an adapted and simpler Chinese Language curriculum not normally applicable to the majority of students in the local schools, the following language qualifications can be accepted as alternative qualifications in Chinese language
- “Attained” in Applied Learning Chinese (for non-Chinese Speaking students) ApL(C)
- Grade E in GCE (A/AS Level)
- Grade C in GCE (O-Level)
- Grade C / Grade 4 in GCSE / IGCSE
Mature Applicants
- Mature applicants must be over the age of 25 by 1 September of the year of admission and be able to demonstrate aptitude and suitability for the programme applied for.
Fees
Application Fee
HK$150
Application fee is payable when applicants are invited for interviews. Application fee can be paid by the following methods:
- By direct deposit at any branch of the Hang Seng Bank or ATM transfer (Bank Code: 024) (A/C number: 359-300001-004) OR
- By Octopus Card at the College Office
Total Tuition Fee
| Total Tuition Fee | 1st Year | 2nd Year | 3rd Year | 4th Year | Total |
|---|---|---|---|---|---|
| Year 1 entry intake | |||||
| Tuition Fee | HK$70,200 | HK$70,200 | HK$76,200 | HK$76,200 | HK$292,800 |
| *Local with NMTSS | HK$35,810 | HK$35,810 | HK$41,810 | HK$41,810 | HK$155,240 |
| Senior year entry intake | |||||
| Tuition Fee | - | - | HK$76,200 | HK$76,200 | HK$152,400 |
| *Local with NMTSS | - | - | HK$41,810 | HK$41,810 | HK$83,620 |
Note
Annual Tuition Fee for Year 1 and 2: HK$2,340/credit;
Annual Tuition Fee for Year 3 and 4: HK$2,540/credit
All Full-time Bachelor Degree (4-year Programme) students are required to take 120 credits. Total tuition fees for four years are about HK$292,800 or *HK$155,240. Tuition fees are charged according to the number of course credits taken by a student with variation.
*Qualified local students of our College enrolled in the UOWCHK degree will be eligible for the Non-means-tested Subsidy Scheme for Self-financing Undergraduate Studies in Hong Kong (NMTSS). In the 2024/25 academic year, students can obtain an annual subsidy up to HK$34,390. For details, please check on the website NMTSS FAQs.
Other Fee
A Graduation Fee of HK$400 will be charged upon enrolment in a programme.
Financial Assistance
Students enrolled in self-financing Bachelor/Associate Degree /Higher Diploma programmes are eligible to apply for financial assistance from the following sources:
Financial Assistance Scheme for Post-Secondary Students (FASP)
Provides means-tested financial assistance to needy full-time students pursuing locally-accredited, self-financing post-secondary education programmes at the level of associate degree, higher diploma or degree. The scheme aims to provide financial assistance to needy students so that no eligible students will be denied access to post-secondary education because of lack of means.
Enquiries: 2152 9000
Website: Financial Assistance Scheme for Post-Secondary Students
Non-means Tested Loan Scheme for Post-Secondary Students (NLSPS)
The NLSPS is used to complement the Financial Assistance Scheme for Post-secondary Students (FASP) to provide loan(s) to eligible students to settle tuition fees of locally-accredited, self-financing full-time post-secondary education programmes at the level of associate degree, higher diploma or degree
Enquiries: 2150 6222
Website: Non-means Tested Loan Scheme for Post-Secondary Students
Programme structure and outcomes
- Learning outcomes & Main subject areas
- Programme study flow & structure
- Minors in degree programmes
- Further Studies Pathways & Career prospects
- Graduate Profile and Employment Pathway
Programme Intended Learning Outcomes
Programme Intended Learning Outcomes (PILOs) are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this programme will be able to:
| PILO | Description |
|---|---|
| 1. | Apply essential concepts, principles and practices of artificial intelligence to make decisions in solving problems in a variety of career settings. |
| 2. | Design and implement artificial intelligence solutions to enhance productivity in selected industries. |
| 3. | Understand the impact of artificial intelligence in socio-political, economic and ethical context. |
| 4. | Act professionally with a sense of integrity, accountability and responsibility. |
| 5. | Use effective communication and interpersonal skills in business and technical communities. |
Main subject areas
- Fundamentals of Artificial Intelligence
- Programming in Python for Artificial Intelligence
- Deep Learning
- Computer Vision
- Machine Learning
- Data Mining
- Cloud Computing and Big Data Systems
- Mobile Application Design
- Computer Systems Security
- Object-Oriented Programming and Design
- Data Structures and Algorithms
- Database Systems and Design
Programme study flow
Programme structure
To qualify for this award, a candidate shall accrue an aggregate of at least 120 credit units (60 credit units for 2 year senior entry) by satisfactory completion of the following programme requirements:
| Degree requirements | 4 yr CUs | 2 yr senior entry CUs |
|---|---|---|
| Programme Core | 57 | 36 |
| Free Electives | 27 | 9 |
| General Education | 36 | 15 |
| Minimum credit points | 120 | 60 |
Programme Core
| Course Code | Course Name |
|---|---|
| Programme Core (57CUs) | |
| Sem A, Year 1 | |
| FST1101 | Basic Calculus and Linear Algebra |
| CSC1201 | Introduction to Programming |
| Sem B, Year 1 | |
| CSC1301 | Computer Organization |
| Sem A, Year 2 | |
| CSC2201 | Object-Oriented Programming and Design |
| CSC2301 | Database Systems and Design |
| Sem B, Year 2 | |
| CSC2202 | Data Structures and Algorithms |
| FST2101 | Discrete Mathematics |
| Sem A, Year 3 | |
| AIN3201* | Programming in Python for Artificial Intelligence |
| FST4300* | Research Methods |
| Sem B, Year 3 | |
| CSC3202* | Mobile Application Design |
| AIN3101* | Fundamentals of Artificial Intelligence |
| Sem A, Year 4 | |
| CSC4301* | Computer Systems Security |
| AIN4101* | Machine Learning |
| AIN4102* | Data Mining |
| AIN4401* | Capstone Project with Artificial Intelligence** ( 6Credit Units ) |
| Sem B, Year 4 | |
| AIN4302* | Cloud Computing and Big Data Systems |
| AIN4303* | Deep Learning |
| AIN4304* | Computer Vision |
| AVI4401* | Capstone Project with Artificial Intelligence (Continued) ** |
| Language and General Education (36CUs) | |
| DGE1041 | Practical Chinese |
| DGE1941 | English for Academic Studies 1 |
| DGE3941 | English for Academic Studies 2 |
| DGE3942 | English Communication for the Workspace |
| DGE3943 | English for Professional Communication |
| DGE3850 | Comtemporay China |
| DGE1431 | Critical Thinking |
| DGE1511 | Science and Technology: Development and Impact |
| DGE2732 | Understanding Global Cities |
| DGE3512 | The Science of Health |
| DGE3622 | Startup and Entrepreneurship |
| DGE3722 | Sustainable Development and Green Economy |
|
* Senior year entry Programme Features
|
|
All students studying a normative 4-year self-financing degree programme of the College can take a structured group of courses required for a minor as their free electives, and upon satisfactory completion of the courses, may declare the minor. For details please click Minors in degree programmes.
Further Studies Pathways
This programme will start to be offered in 2022-23. Articulation possibilities may include:
City University of Hong Kong
- Master of Science in Computer Science
Hong Kong Baptist University
- Master of Science (MSc) in AI and Digital Media
- Master of Science (MSc) in Data Analytics and Artificial Intelligence
- Master of Science (MSc) in Information Technology Management
The Chinese University of Hong Kong
- Master of Science in Computer Science
The Hong Kong Polytechnic University
- Master of Science in Artificial Intelligence and Big Data Computing
- Master of Science in Blockchain Technology
- Master of Science in Metaverse Technology
- Master of Science in Information Technology
The Hong Kong University of Science and Technology
- Master of Science (MSc) Program in Big Data Technology
- Master of Science (MSc) Information Technology
The University of Hong Kong
- Master of Science in Computer Science
University of Wollongong, Australia
- Master of Computer Science (Machine Learning and Big Data)
Imperial College London, UK
- MSc Artificial Intelligence
King’s College London, UK
- Artificial Intelligence MSc
Shanghai Jiao Tong University, China
- Master Programs in English for International Students - Control Science and Engineering (Pattern Recognition and Intelligent System)
The Australian National University, Australia
- Master of Machine Learning and Computer Vision
Tsinghua University, China
- Master in Advanced Computing
Career prospects
Graduates will be competent for a wide range of AI-related jobs across various sectors, which include:
- Artificial Intelligence Developer
- Data Analytics (AI & Robotics)
- Machine Learning Developer
- Junior AI Engineer
- Data Scientist
- AI Application Developer
- Software Engineer
- AI Programmer
Graduates can also apply their knowledge and generic skills in artificial intelligence acquired from the programme to enter entry-level positions such as Officers, Analysts or Supervisors in AI-driven business / organization units.
Please click "Graduate Profile and Employment Pathway" of the programme for details.
Faculty of Science and Technology
Phone / Whatsapp: (852) 2707 3232
Fax: (852) 2707 3231
Email: uowchk-fst@uow.edu.au