Information Technology
- Bachelor of Computer Science
- Bachelor of Science (Honours) in Artificial Intelligence
- 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
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. Graduates will be able to seek employment in positions such as software engineers/developers, AI application developers, junior AI engineers, machine learning developers, data analytics (AI & robotics) and data scientists.
FACULTY |
PROG. CODEBSCAI |
CAMPUS |
QF LEVEL5 |
|---|---|---|---|
DURATION4 years or 2 years (Snr yr entry)
|
CREDIT POINTS120 CPS (4 yrs) 60 CPS (2 yrs)
|
AWARD TYPEBachelor Degree
|
QR REF/
|
Admission, entry requirements, fees
For year one entry, please apply via UOWCHK ONLINE APPLICATION SYSTEM.
For Senior Year entry, please apply via YEAR 3 ENTRY.
A range of admission options are available for students of different academic backgrounds. Click here for more information on admissions procedures.
For admission to UOW College Hong Kong Bachelor Degree programmes, applicants must meet the following requirements:
Year 1 Entry:
- HKDSE Level 3 in Chinese Language
- HKDSE Level 3 in English Language
- HKDSE Level 2 in Mathematics and Liberal Studies
- HKDSE Elective/Applied Learning Subject at Level 2 (“3322+2”)
or
- HKALE AS Use of English
- HKALE AS Chinese Language and Culture
- HKALE AL subject/two AS subjects
- Level 2 for Chinese Language and English Language
- Passes in three other subjects in HKCEE;
or obtain equivalent qualifications.
Year 3 Entry:
Associate Degree or a Higher Diploma in similar or relevant discipline from a recognised tertiary institution in Hong Kong with a cumulative GPA of 2.0 or above or equivalent.
Application Fee, Tution Fee & Other Fee
Application Fee
$150, waived for 2022.
Total Tuition Fee
For Bachelor Degree programmes, the tuition fee for years 1 and 2 is HK$69,000 per year and that for years 3 and year 4 is HK$74,000 per year.
| Total Tuition Fee | Local with NMTSS | International student |
|---|---|---|
| Year 1 Entry | HK$153,200* | HK$286,000 |
| Year 3 Entry | HK$81,600* | HK$138,000 |
*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 2022/23 academic year, students can obtain an annual subsidy up to HK$33,200. 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
- Minors in degree programmes
- Programme structure
- Programme study flow
- Further Studies Pathways
- Career Prospects
- Graduate Profile and Employment Pathway
- Programme enquiry
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. |
- 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
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.
To qualify for this award, a candidate shall accrue an aggregate of at least 120 credit points (60 credits for 2 year senior entry) by satisfactory completion of the following programme requirements:
| Degree requirements | 4 yr CPs | 2 yr senior entry CPs |
|---|---|---|
| General Education | 36 | 15 |
| Programme Core | 57 | 36 |
| Free Electives | 27 | 9 |
| Minimum credit points | 120 | 60 |
Programme Core
| Course Code | Course Name |
|---|---|
| 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** |
| Sem B, Year 4 | |
| AIN4302* | Cloud Computing and Big Data Systems |
| AIN4303* | Deep Learning |
| AIN4304* | Computer Vision |
| AVI4401* | Capstone Project with Artificial Intelligence (Continued) ** |
|
* Senior year entry |
|
This programme will start to be offered in 2022-23. Articulation possibilities may include:
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
The Chinese University of Hong Kong
- Master of Science in Computer Science
City University of Hong Kong
- Master of Science in Computer Science
The Hong Kong Polytechnic University
- Master of Science in Information Technology
Hong Kong Baptist University
- Master of Science (MSc) in AI and Digital Media
- Master of Science (MSc) in Advanced Information Systems
University of Wollongong
- Master of Computer Science (Machine Learning and Big Data)
The Australian National University
- Master of Machine Learning and Computer Vision
Imperial College London
- MSc Artificial Intelligence
King’s College London
- Artificial Intelligence MSc
Tsinghua University
- Master in Advanced Computing
Shanghai Jiao Tong University
- Master Programs in English for International Students - Control Science and Engineering (Pattern Recognition and Intelligent System)
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.
For enquiries, please contact Faculty of Science and Technology (Telephone No: 2707 3232 or Email: uowchk-fst@uow.edu.au).
This programme is accredited by the Hong Kong Council for Accreditation of Academic and Vocational Qualifications.
Faculty of Science and Technology
Phone / Whatsapp: 2707 3232
Fax: 2707 3231
Email: uowchk-fst@uow.edu.au
Address: 1/F, Le Billionnaire, 46 Sa Po Road, Kowloon City, Hong Kong
[Sung Wong Toi MTR Station Exit B3]
College Office
Phone: Main campus - 2707 3111 / 2707 4669 | Telford campus - 2707 9440
Fax: 2707 3222
Email: uowchk-main@uow.edu.au
Address: 1/F, Billionnaire Royale, 83 Sa Po Road, Kowloon City, Hong Kong
[Sung Wong Toi MTR Station Exit B3]