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Overview

The Master of Artificial Intelligence prepares you for the AI transformation and professional employment across sectors in industry, academia, R&D, government, defense, medicine and finance. The degree provides you with modern knowledge and skills to effectively build AI-based products and intelligent systems. The course includes topics in deep learning, knowledge … For more content click the Read More button below. The course will contain a broad range of units related to fundamental knowledge and applied artificial intelligence skills. You will be able to apply your learning, knowledge and skills in your contexts as part of the assessment process and have the opportunity to complete either a research project or an industry experience studio project.

Mode and location

On campus

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

Upon successful completion of this course it is expected that you will be able to:

Structure

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.

Requirements
72 credit points

Part B. Advanced practice24 credit points

Alternative exit(s)

You may exit this course early and apply to graduate with one of the following awards, provided you have satisfied the requirements indicated for that award during your enrolment in this master's course:

  • Graduate Certificate of Artificial Intelligence after successful completion of 24 credit points of study including all units in Part A, a. (18 credit points) and one unit (6 credit points) from Part A, b.
  • Graduate Diploma of Artificial Intelligence after successful completion of 48 credit points of study including all units in Part A, a. (18 credit points) and five units (30 credit points) from Part A, b.

Progression to further studies

Successful completion of this course may provide a pathway to a Faculty of Information Technology graduate research degree.

Progression will be conditional on you completing the minor research pathway (as described in Part B, a.) and achieving the minimum entry requirements for either Master of Philosophy (3337) or the Doctor of Philosophy (0190).