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

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Study Pattern

 

Each subject takes place once a week in the evening over a 13-week semester. Full-time students are enrolled in 5 subjects per semester; part-time students choose 2 or 3 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 30 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

Programme Requirement Document

 
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2024/25 Cohort [restricted access for DSAI designated staff/students]

 

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