PROGRAMME STRUCTURE
The total credit requirement for the MScAIBA degree is 30 credits, consisting of six required courses and four elective courses. The teaching pattern for the courses is three hours per week per course, with students normally completing five courses per term. These courses can have different combinations of lectures, laboratory sessions, tutorials, and/or seminars. Although the normal duration for the MScAIBA programme is one year of full-time study, students may extend this up to a maximum duration of three years, subject to the approval of the Programme Coordinator and Head of the Department.
Programme Curriculum
| Required courses (18 credits) | Credits |
| 1. CDS504: Business Data Analytics | 3 |
| 2. CDS521: Foundation of Artificial Intelligence | 3 |
| 3. CDS522: Business Data Management | 3 |
| 4. CDS523: Principle of Data Analytics and Programming | 3 |
| 5. CDS524: Machine Learning for Business | 3 |
| 6. CDS525: Practical Application of Deep Learning | 3 |
| Elective courses (12 credits) | Credits |
| 1. CDS505: Mobile Technology and Applications in eBusiness | 3 |
| 2. CDS510: Social Media for eBusiness | 3 |
| 3. CDS511: Project Management with Software | 3 |
| 4. CDS515: Business Decision Making with Software | 3 |
| 5. CDS526: Artificial Intelligence based Optimisation | 3 |
| 6. CDS527: Big Data Analytics | 3 |
| 7. CDS528: Blockchain | 3 |
| 8. CDS529: Project for Artificial Intelligence and Business Analytics | 3 |
| 9. CDS530: Healthcare Analytics | 3 |
| 10. CDS531: Marketing Analytics and Intelligence | 3 |
| 11. SCI501: Location Intelligence | 3 |
Pre-entry Courses
Applicants with no or limited background statistics or computer science will be required to complete non-credit-bearing pre-entry course(s) on statistics or computer science prior to the start of the programme.
The pre-entry programme includes two courses as listed below:
- Introduction to computing
- Statistics
Progression
For progression, students are required to achieve a cumulative GPA of 2.50 or above in order to proceed to the next term. Students who cannot meet such GPA requirement will normally be put on academic probation in the following term or discontinued.
Graduation
For graduation, students are required to complete a total of 10 courses of 30 credits, as specified in the programme curriculum, including six required courses and four elective courses. The minimum CGPA requirement for graduation will be 2.67 for conferment of the MScAIBA programme. Students will be awarded a Postgraduate Diploma if they cannot meet the requirement(s) for graduation with a M.Sc. degree. Specifically, to qualify for the award of the Postgraduate Diploma in Artificial Intelligence and Business Analytics issued by Lingnan University, students must complete any 4 required courses with a cumulative G.P.A. that is equal to or greater than 2.33.