Master of Science in Artificial Intelligence Applications (60 credits)

  • MAI 701 Foundation of Artificial Intelligence (3 credit)
  • MAI 702 Intelligent Agents (3 credit)
  • MAI 703 Techniques in Artificial Intelligence (3 credit)
  • MAI 704 The Human Intelligence Enterprise (3 credit)
  • MAI 705 Computational Biology (3 credit)
  • MAI 706 Computers systems Architecture (3 credit)
  • MAI 707 Advanced Machine Learning (3 credit)
  • MAI 708 Advanced parallel computing (3 credit)
  • MAI 709 Simulation Modelling for Computer Science (3 credit)
  • MAI 710 Robotic systems (3 credit)
  • MAI 711 Thesis (30 credit)
  • MAI712 Research Methodology
  • MAI713 Research Skills

Assessment

  • Students with more than 5 years of industry experience can apply for the Level 7 RPL Test (Recognition of Prior Learning). Those who pass the Level7 test can directly enter the final stage and submit an industry report/research paper of minimum of 15,000 words.
  • Holders of Postgraduate Diploma or equivalent qualifications in this field, can also directly enter the final stage
  • Relevant degree holders can submit their transcripts and certificates, and apply for credit exemption review

After passing the Level 7 RPL test, students are required to

  • Attend a 6-hour Research Methodology class (online)
  • Submission of topic
  • Submission of Proposal
  • Finish the dissertation under the guidance of an assigned supervisor