C6007 Master of Artificial Intelligence

The course is structured into two consecutive parts:

• Part A: Core master’s studies, and
• Part B: Advanced practice.

Depending on your prior qualifications, you may receive credit for Part B. Please note that you may also elect not to receive the credit for prior study. 

Part A. Core master's studies (48 points)

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 B. Advanced practice (24 points)

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

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

If you are admitted to the course with a recognised honours degree in a discipline cognate to artificial intelligence, you will receive credit for Part B, however, should you wish to complete the research project option as part of the course you should consult with the course coordinator.

Master's entry points

If you are admitted at:

• entry level 1 you complete 72 credit points, comprising Part A and Part B 
• entry level 2 you complete 48 credit points, comprising Part A 

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 provides guidance on unit enrolment for each semester of study.

The course comprises 72 points structured into two parts:

• Part A: Core master’s studies (48 points)
• Part B: Advanced practice (24 points)

If you are admitted at:

• entry level 1 you complete 72 points, comprising Part A and Part B 
• entry level 2 you complete 48 points, comprising Part A 

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.

Part A: Core master's studies (48 points)

You must complete:

a. three units (18 points):

• FIT5197 Statistical data modelling
• FIT5047 Fundamentals of artificial intelligence
• FIT5125 IT research methods

 b. five units (30 points) selected from:

• FIT5201 Machine learning
• FIT5215 Deep learning
• FIT5216 Modelling discrete optimisation problems
• FIT5217 Natural language processing
• FIT5218 Human-centric AI 
• FIT5219 Advanced learning and cognitive systems
• FIT5220 Solving discrete optimisation problems
• FIT5221 Intelligent image and video analysis
• FIT5222 Planning and automated reasoning

Part B: Advanced practice (24 points)

 You must complete either a. or b. below:

a. Minor thesis research* (24 points)

• FIT5126 Masters thesis part 1
• FIT5127 Masters thesis part 2
• FIT5128 Masters thesis final
• One elective unit (6 points) selected from any [[http://www.monash.edu.au/pubs/handbooks/units/index-bycode-f.html][FIT-coded]] level 5 units, if you have the required prerequisites and there are no restrictions on enrolments.

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*: To be eligible for the research option, you must have successfully completed 24 points of level 5 FIT-coded units and have achieved an overall average of at least 75% across all completed FIT-coded level 5 units, and have achieved at least a distinction in FIT5125 IT research methods.

 b. Industry experience (24 points)

• FIT5120 Industry experience studio project (12 pts)
• FIT5122 Professional practice
• One elective unit (6 points) selected from any [[http://www.monash.edu.au/pubs/handbooks/units/index-bycode-f.html][FIT-coded]] level 5 units, if you have the required prerequisites and there are no restrictions on enrolments.