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

Study Pattern

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. Students must complete the following:

• AIBD programme core (Programme-Core) subjects: 3 credits
• Artificial Intelligence core (AI-Core) subjects: 6 credits
• Big Data Computing core (BD-Core) subjects: 6 credits
• Compulsory dissertation: 9 credits
• Electives, BD-Core, AI-Core, and/or Programme-Core subjects: 6 credits
• Academic Integrity and Ethics (AIE) subject: 1 credit
       [Tuition fees will not be charged for the 1-credit AIE subject.]