With the rapid development of artificial intelligence (AI) and big data techniques in recent years, there have been a huge number of innovative applications in various domains. AI and business analytics are an inter-disciplinary sub-field that integrates knowledge and skills from both with critical and out-of-the-box thinking to process business datasets through the use of AI techniques.
The Master of Science in Artificial Intelligence and Business Analytics (MScAIBA) emphasizes a balanced coverage of subjects in AI and business analytics, as well as focuses on business data analytics by using AI techniques to solve practical business problems.
Aim
The programme is designed to educate students about the fundamental principles and practical applications of AI and business analytics techniques, especially in domain of business, so that they can effectively apply AI tools and techniques when problem solving, as well as analyse business problems by using data analytic skills and AI techniques when decision making.
Career and Academic Advancement
To graduate, students must complete six core subjects and four electives for a total of 30 credits. The core courses allow students to establish a strong foundation in AI and business analytics. A diversified choice of elective subjects is offered to cater for students' interests, abilities and career plans while students may learn more advanced and/or practical knowledge across various domains.
Special Features
- It provides students with knowledge that spans the core disciplines of Artificial Intelligence (AI) and business analytics, and integrates various disciplines to allow students to better understand all aspects of AI and business analytics and how they are used in the real world.
- It takes into consideration more practical business applications and frontier technologies by combining AI and business analytics with blockchain, marketing, healthcare, geographical information systems, and optimisation. Thereby enhancing the competitiveness of graduates in the job market.
- It serves a wide range of professionals, decision and policy makers who need to process and analyse big data. It is also ideal for healthcare and public utility sector practitioners who understand the importance of AI and business analytics in enhancing the quality of society and effectiveness of operations.
- It develops students’ analytical and critical thinking, as well as their problem-solving skills, which enables graduates to pursue careers as business analysts, data analysts, data scientists, and AI consultants/experts across various industries.
Mode of Study
Full-time
Programme Duration
Mode of study | Normal Study Period | Maximum Study Period |
| Full-time | 1 year | 3 years |
Medium of Instruction
English
Credit Required
30 credits
Modules Required
6 required courses (18 credits) and 4 elective courses (12 credits)
Programme Curriculum
Core courses (6 courses, a total of 18 credits)
- CDS504 Business Data Analytics (3 credits)
- CDS521 Foundation of Artificial Intelligence (3 credits)
- CDS522 Business Data Management (3 credits)
- CDS523 Principle of Data Analytics and Programming (3 credits)
- CDS524 Machine Learning for Business (3 credits)
- CDS525 Practical Application of Deep Learning (3 credits)
Elective courses (any 4 courses, a total of 12 credits)
- CDS505 Mobile Technology and Applications in eBusiness (3 credits)
- CDS510 Social Media for eBusiness (3 credits)
- CDS511 Project Management with Software (3 credits)
- CDS515 Business Decision Making with Software (3 credits)
- CDS526 Artificial Intelligence Based Optimisation (3 credits)
- CDS527 Big Data Analytics (3 credits)
- CDS528 Blockchain (3 credits)
- CDS529 Project for Artificial Intelligence and Business Analytics (3 credits)
- CDS530 Healthcare Analytics (3 credits)
- CDS531 Marketing Analytics and Intelligence (3 credits)
- SCI501 Geospatial Intelligence for Sustainable Development (3 credits)
Pre-entry Course (if any)
Applicants with no or limited background in computer science or statistics will be required to complete the corresponding pre-entry courses below:
- Introduction to Computing
- Statistics
Graduation Requirements
To qualify for the award of the Master of Science in Artificial Intelligence and Business Analytics offered by Lingnan University (LU), students must, where applicable:
- Complete 10 courses (6 core courses and 4 elective courses) and obtain a minimum of 30 credits;
- Achieve a minimum CGPA of 2.67; and
- Fulfil the University exit requirement on English language competency, if applicable; and fulfil all University/programme requirements.
- A student who fulfils all the requirements for graduation shall be awarded a Master of Science in Artificial Intelligence and Business Analytics degree with one of the following classifications:
Degree Classification | Minimum Cumulative G.P.A. |
Distinction | 3.50 |
Pass | 2.67 |
- Students will be awarded a Postgraduate Diploma in Artificial Intelligence and Business Analytics if they complete any 4 required courses and obtain a minimum CGPA of 2.33, and do not continue in the programme. Acceptance of an intermediate award implies an intention not to complete the final award.
Last Updated: 3 October 2023
Tuition Fees
Mode of Study | Tuition Fee |
Full-time | $278,000 |
Application Fee
HKD 400
Financial Assistance
Government Student Financial Assistance
Local students are eligible for applying the Extended Non-means Tested Loan Scheme (ENLS). For eligibility and details, please visit the Working Family and Student Financial Assistance Agency's website.
Scholarships
Scholarships might be considered for outstanding students on the basis of academic merit. All students admitted to the programme will automatically be the candidates for the scholarships.
Last Updated: 3 October 2023
Entrance Requirements
Applicants shall fulfill the minimum admission requirements for taught master’s degree programmes as follows.
Minimum Admission Requirements
Academic Qualification(s)
- hold a relevant bachelor’s degree awarded by a tertiary education institution recognised for this purpose by the University; or
- have obtained an equivalent qualification; or
- have provided satisfactory evidence of academic and professional attainment.
English Proficiency
In addition to the above, applicants whose degree or, exceptionally, an alternative qualification deemed equivalent from a tertiary institution is not using English as the medium of instruction (MOI) for the programme should obtain:
- a minimum score of 550 (paper-based test) or 79 (internet-based test) in the Test of English as a Foreign Language (TOEFL)1 2; or
- a band score of 6.5 or above in the International English Language Testing System (IELTS)1, or
- an equivalent score in a recognised test, or
- an equivalent qualification to prove his/her English language proficiency which will be considered on a case-by-case basis.
1For IELTS and TOEFL qualifications, the University only accepts results that are within the validity period, viz. 2 years, from the time of submission of an admission application for the specific intake cohort.
2For an applicant using TOEFL “MyBest scores” to fulfill the minimum required score of 79, the programme should use interview or other means to assess the applicant’s proficiency in English.
Please refer to the programme website for details.
Application Method
Apply through the online application system:
https://www.ln.edu.hk/admission/apply
Last Updated: 3 October 2023
