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

Science and Technology

 

PROG. CODE

BSCAI

 

CAMPUS

Kowloon City

 

QF LEVEL

5

DURATION

4 years or 

2 years (Snr  yr entry)

 

CREDIT POINTS

120 CPS (4 yrs)

60 CPS (2 yrs) 

 

AWARD TYPE

Bachelor Degree

  

 

QR REF/
VALIDITY PERIOD

 21/000490/L5
01/09/2021-31/08/2026

Admission, entry requirements, fees

For year one entry, please apply E-APP (for HKDSE 2022 only) / UOWCHK ONLINE APPLICATION SYSTEM.

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 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.
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 (Senior Year) 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

Total Tuition Fee1st Year2nd Year3rd Year4th YearTotal
Tuition Fee HK$69,000 HK$69,000 HK$74,000 HK$74,000 HK$286,000
*Local with NMTSS HK$35,800 HK$35,800 HK$40,800 HK$40,800 HK$153,200

Annual Tuition Fee for Year 1 and 2: HK$69,000 ($2,300/credit)
Annual Tuition Fee for Year 3 and 4: HK$74,000 ($2,466.666/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$286,000 or *HK$153,200. 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 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

For enquiries, please contact Faculty of Science and Technology (Telephone No: 2707 3232 or Email: uowchk-fst@uow.edu.au).

Programme structure and outcomes

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:

PILODescription
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 points (60 credits for 2 year senior entry) by satisfactory completion of the following programme requirements:

Degree requirements4 yr CUs2 yr senior entry CUs
General Education 36 15
Programme Core 57 36
Free Electives 27 9
Minimum credit points 120 60

Programme Core

Course CodeCourse 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) **
Language and General Education
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

  • Other than the major in aviation studies, students may choose to do a minor in Finance, Accounting, Social Innovation, Chinese History and Culture, Chinese, Japanese on voluntary basis. They may choose to take elective courses in various disciplines instead of doing a minor.

 

 

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 Advanced Information Systems

The Chinese University of Hong Kong 

  • Master of Science in Computer Science

The Hong Kong Polytechnic University

  • 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.

This programme is accredited by the Hong Kong Council for Accreditation of Academic and Vocational Qualifications.

Address

Faculty of Science and Technology

Phone / Whatsapp2707 3232
Fax2707 3231
Emailuowchk-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
Fax2707 3222
Emailuowchk-main@uow.edu.au

Address: 1/F, Billionnaire Royale, 83 Sa Po Road, Kowloon City, Hong Kong

[Sung Wong Toi MTR Station Exit B3]