Master of Science in Artificial Intelligence and Big Data Computing (62037-FAI/PAI)

Study Pattern

[The following information is applicable to cohorts admitted in or after 2026/27.]

Each subject takes place once a week in the evening over a 13-week semester. Full-time students normally take five subjects in a semester, whereas part-time students usually take two or three subjects. Some subjects may be offered during the summer to provide students with greater flexibility in designing their own study plan.

Students are required to complete 31 credits. All subjects carry 3 credits, unless otherwise specified. Student needs to complete either of the following options:

Option 1

• 15 credits of Compulsory subjects
• 15 credits of Elective subjects
• 1 credit of Academic Integrity and Ethics (AIE) subject
• non-credit bearing National Education (NE) requirement

Option 2

• 15 credits of Compulsory subjects
• 6 credits of Elective subjects
• 9 credits of Dissertation
• 1 credit of Academic Integrity and Ethics (AIE) subject
• non-credit bearing National Education (NE) requirement

Normally, only students who have completed 12 credits and the AIE subject (1 credit) with GPA 3.0 or above at the end of Semester One will be considered for Option 2.