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 Analytics3
2. CDS521: Foundation of Artificial Intelligence3
3. CDS522: Business Data Management3
4. CDS523: Principle of Data Analytics and Programming3
5. CDS524: Machine Learning for Business3
6. CDS525: Practical Application of Deep Learning3
Elective courses (12 credits)Credits
1. CDS505: Mobile Technology and Applications in eBusiness3
2. CDS510: Social Media for eBusiness3
3. CDS511: Project Management with Software3
4. CDS515: Business Decision Making with Software3
5. CDS526: Artificial Intelligence based Optimisation3
6. CDS527: Big Data Analytics3
7. CDS528: Blockchain3
8. CDS529: Project for Artificial Intelligence and Business Analytics3
9. CDS530: Healthcare Analytics3
10. CDS531: Marketing Analytics and Intelligence3
11. SCI501: Location Intelligence3
* The offering of elective courses is subject to sufficient demand and faculty availability.
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:

  1. Introduction to computing
  2. 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.