C6007 Master of Artificial Intelligence

The course comprises 96 credit points structured into three parts: Part A. Foundation studies, Part B. Core studies, and Part C. Applied studies. 

Part A. Foundation studies

These studies will provide an orientation to the field of artificial intelligence at graduate level. They are intended for students whose previous qualification is not in a cognate field.

Part B. Core studies

These studies will provide an orientation and draw on best practices within the broad field of artificial intelligence practice and research. You will gain a critical understanding of theoretical and practical issues related to artificial intelligence. Your studies will focus on fundamentals, core knowledge as well as application in artificial intelligence. 

Part C. Applied studies

The focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development in AI. You  have three options: 

• A program of coursework involving advanced study and an industry experience studio project.

• A research pathway including a thesis. If you wish to use this master’s course as a pathway to a higher degree by research you should take this option.

• A work integrated learning industry placement (for Clayton students only).

Master's entry points

Depending on prior qualifications you may receive entry level credit which determines your point of entry to the course:

• If you are admitted at entry Level 1 you complete 96 credit points, comprising Part A, Part B and Part C. 

• If you are admitted at entry Level 2 you complete 72 credit points, comprising Part B and Part C.

Note: If you are eligible for credit for prior studies you may elect not to receive the credit and complete one of the higher credit-point options.

Course progression map

The course progression map (Clayton) and(Malaysia)provides guidance on unit enrolment for each semester of study.

The course comprises 96 credit points structured into three parts: Part A. Foundation studies (24 credit points), Part B. Core studies (48 credit points), and Part C. Applied studies (24 credit points).

Units are 6 credit points unless otherwise stated.

Part A. Foundation studies (24 credit points)

You must complete the following units:

• FIT9132 Introduction to databases

• FIT9136 Introduction to Python programming

• FIT9137 Introduction to computer architecture and networks

• MAT9004 Mathematical foundations for data science and AI

Part B. Core studies (48 credit points)

You must complete 48 credit points, comprising:
- the following seven units (42 credit points); and
- one further unit (6 credit points) from Specified elective studies.

• FIT5047 Fundamentals of artificial intelligence

• FIT5057 Project management

• FIT5125 IT research and innovation methods

• FIT5201 Machine learning

• FIT5215 Deep learning

• FIT5222 Planning and automated reasoning

• FIT5226 Multi agent systems and collective behaviour

Specified elective studies

You must complete one of the following units:

• FIT5216 Modelling discrete optimisation problems

• FIT5217 Natural language processing

• FIT5221 Intelligent image and video analysis

• FIT5230 Malicious AI

Part C.  Applied studies (24 credit points)

You must complete one of the following pathways.

Note. The Work integrated learning industry placement is NOT available to students at the Malaysia campus.

Industry experience pathway

You must complete the following units (18 credit points) plus one Level 5 elective unit (6 credit points). You must have the required prerequisites for the unit you choose.

• FIT5120 Industry experience studio project (12 credit points)

• FIT5122 Professional practice

• one level 5 elective unit (6 credit points)

Research pathway

Note 1: Enrolment in the research units is dependent on available supervisors and projects. Eligible students will be ranked based on their entire academic record and assessed for suitability to undertake the research component of this program.

Note 2: To be eligible for the research pathway:

• You must have successfully completed at least 24 credit points of level 5 FIT-coded units; and have an overall average of at least 80% across all Level 5 units; and must have have achieved at least a distinction (75%) in FIT5125 IT research methods; and achieved an overall course WAM of 70%.

• If you have a WAM between 75-79% across all Level 5 units you must have successfully completed at least 24 credit points of level 5 FIT-coded units; and demonstrated research capability with written support from a prospective supervisor; and must have have achieved at least a distinction (75%) in FIT5125 IT research methods; and achieved an overall course WAM of 70%. 

• FIT5126 Masters thesis part 1

• FIT5127 Masters thesis part 2

• FIT5128 Masters thesis final

• FIT5122 Professional practice

Work integrated learning industry placement pathway

You must complete the following units

Note 1: This pathway is NOT available to students at the Malaysia campus.
Note 2: Permission to enrol in this pathway is by application only.

• FIT5122 Professional practice

• FIT5241 Work integrated learning industry placement (18 points)