The Master of Computer Science (Artificial Intelligence) requires two years of full time study (or the equivalent part time). The course is offered by the College of Science and Engineering.
Applicants must normally hold an approved Bachelor degree or equivalent qualification in computer science, information technology, ICT-based engineering or a closely related discipline from an approved institution. Applicants with an approved degree in behavioural science or psychology, which includes a major in artificial intelligence or computer science, are also eligible to apply.
Knowledge of second year undergraduate level study in information technology is assumed.
The Dean (Education) may, under certain circumstances and subject to specific conditions, admit others who can show evidence of fitness for candidature.
This award aims to provide students with:
The award provides the foundations that will underpin ongoing professional development, preparing students for admission to a research higher degree or for a career as a computing professional.
On completion of the course you will be able to:
To qualify for the Master of Computer Science (Artificial Intelligence), a student must complete 72 units, with a grade of P or NGP or better in each topic, according to the program of study below. Students who commence but subsequently do not wish to complete may apply to transfer to the Graduate Diploma in Computer Science.
27 units comprising:
COMP7716 Information Retrieval and Language Technology (4.5 units)
COMP8715 Heuristic Optimisation GE (4.5 units)
COMP8801 Computer Programming 2 GE (4.5 units)
COMP9721 Enterprise Information Security GE (4.5 units)
ENGR8703 Electronics GE (4.5 units)
STEM8001 Research Methods and Professional Skills (4.5 units)
9 units selected from:
COMP7707 Advanced Data Mining (4.5 units)
COMP8781 Computer Mathematics GE (4.5 units)
ENGR7761 Computer Vision (4.5 units)
ENGR8772 Sensors and Actuators GE (4.5 units)
18 units comprising:
COMP9712 Computer Programming 3 GE (4.5 units)
COMP9722 Theory and Practice of Computation GE (4.5 units)
COMP9742 Intelligent Systems GE (4.5 units)
COMP9771 Advanced Database and Analytics GE (4.5 units)
18 units comprising:
COMP9700A Masters Thesis (4.5/18 units)
COMP9700B Masters Thesis (4.5/18 units)
COMP9700C Masters Thesis (4.5/18 units)
COMP9700D Masters Thesis (4.5/18 units)
OR
9 units comprising:
COMP9710A Masters Project (4.5/9 units)
COMP9710B Masters Project (4.5/9 units)
Plus
9 units selected from:
COMP9751 Interactive Computer Systems GE (4.5 units)
ENGR9742 Systems Engineering (4.5 units)
ENGR9771 Robotic Systems GE (4.5 units)
STAT8721 Data Science GE (4.5 units)
Course Rule Notes
Every effort has been made to ensure the information published on the Course Rule pages is accurate at the time of publication. Flinders University reserves the right to amend its curriculum without prior notice, and will update the Course Rules to reflect any amendments at the earliest opportunity.
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