The Master of Artificial Intelligence provides students with a broad range of Artificial Intelligence (AI) topics ranging from foundations to state-of-the-art technologies and applications.
Students will learn how AI is driving digital disruption, how to work in this dynamic and fast evolving field, and how it is changing every facet of life and society.
This course focuses on the most important and up to date AI topics and trends including but not limited to:
knowledge representation and reasoning, machine learning, natural language understanding and processing, knowledge graphs, AI ethics and governance as well as relevant specialisation areas in computing and data sciences.Accreditation
Accreditation of the Master of Artificial Intelligence will be sought from the Australian Computer Society in late 2021 to coincide with the completion of the degree by the first cohort of graduates.
The program is designed to meet the guidelines of the Australian Computer Society.
Qualification for this award requires the successful completion of 160 credit points which include the units listed in the recommended sequence below.
Students must complete twelve (10 credit points) core units (total of 120 credit points).
Students must also choose between a specialisation-specific award or complete 40 credit points of units selected from any specialisation for a generic award (total 40 credit points).
Recommended sequence
|
Code
|
Name
|
|
301116
|
Social Media Intelligence
|
|
Code
|
Name
|
|
301313
|
Natural Language Understanding
|
|
Code
|
Name
|
|
301312
|
Applied Machine Learning
|
|
Code
|
Name
|
|
301046
|
Big Data
|
At this point, students can exit with a Graduate Certificate in Artificial Intelligence
|
Code
|
Name
|
|
301315
|
Knowledge Representation and Reasoning
|
|
Code
|
Name
|
|
301196
|
Advanced Topics in Artificial Intelligence
|
|
Code
|
Name
|
|
301314
|
Artificial Intelligence Ethics and Organisations
|
And one specialisation unit
At this point, students can exit with a Graduate Diploma in Artificial Intelligence
|
Code
|
Name
|
|
301162
|
Information Security Management
|
|
Code
|
Name
|
|
301112
|
Visualisation
|
|
Code
|
Name
|
|
300597
|
Master Project 1
|
From 2021, students are advised to select 301384 Postgraduate Project A which has replaced 300597. The units are equivalent.
|
Code
|
Name
|
|
301384
|
Postgraduate Project A
|
And one specialisation unit
|
Code
|
Name
|
|
300695
|
Network Technologies
|
|
Code
|
Name
|
|
300598
|
Master Project 2
|
From 2021, students are advised to select 301385 Postgraduate Project B which has replaced 300598. The units are equivalent.
|
Code
|
Name
|
|
301385
|
Postgraduate Project B
|
And two specialisation units
|
Code
|
Name
|
|
301047
|
ICT Practicum
|
Specialisations
|
Code
|
Name
|
|
ST3053
|
Data Analytics
|
|
Code
|
Name
|
|
ST3065
|
Cybersecurity
|
|
Code
|
Name
|
|
ST3049
|
Networking
|
|
Code
|
Name
|
|
ST3050
|
Web and Mobile Computing
|
From 2021 students are advised to select ST3082 Web and Mobile Computing
|
Code
|
Name
|
|
ST3082
|
Web and Mobile Computing
|
|
Code
|
Name
|
|
ST3052
|
Digital Futures
|
Note: Students may exit with the 3766 - Graduate Diploma in Artificial Intelligence (80 credit points) or 3767 - Graduate Certificate in Artificial Intelligence (40 credit points) on completion of the relevant units as specified in the course structure. Please refer to the links below for details.
3766 - Graduate Diploma in Artificial Intelligence
3767 - Graduate Certificate in Artificial Intelligence
