MAI

Credit points

120

Minimum duration

1.5 years full-time or equivalent part-time.

Approved locations

  • ACU Online

Note:


EFTSL value of units : All 10cp units in this course have an EFTSL value of 0.125. Units with a credit point (cp) value of a multiple of 10 have corresponding EFTSL values.

Admission requirements

To be eligible for admission to the Master of Artificial Intelligence, applicants must comply with the Admission to Coursework Programs Policy.. To receive an offer, applicants must have completed one of the following:

1.      An undergraduate degree in Artificial Intelligence, Computer Science, Information Technology or a related discipline* OR

2.      An ACU Graduate Certificate in Artificial Intelligence OR

3.      A Bachelor’s degree or higher qualification in any discipline and at least two years of relevant professional experience in a related discipline *OR

4.      An Advanced Diploma or higher qualification in a related discipline* with at least five years of relevant professional experience.

*Related disciplines

Data Science, Software Engineering, Information Systems, Robotics, Electrical/Electronics or Computer Engineering, Cognitive Science, Networking, Programming, or Data Analytics, Machine Learning, Computer Vision, Natural Language Processing, or Intelligent Systems.

Disclaimer: The course entry requirements above are for 2026 Admission.



Completion requirements

1. To qualify for the degree, a student must complete 120 cp from the Schedule of Unit Offerings, consisting of:

  1. 90 cp from Specified units (Part A)
  2. 20 cp from Project units (Part B)
  3. 10 cp from Elective Stream units (Part C)

Other requirements

Students are required to follow the pattern of unit enrolment set out in the relevant Course Enrolment Guide, unless otherwise approved by the Course Coordinator. In all aspects of progress through the course, students will be advised by the Course Coordinator.

Exit points

A student who has completed the requirements prescribed for the Graduate Diploma in Artificial Intelligence or Graduate Certificate in Artificial Intelligence may exit from the course with the relevant award.

Progression requirements

Applicants who have completed the Graduate Certificate in Artificial Intelligence or Diploma in Artificial Intelligence may be granted advanced standing.

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Schedule of unit offerings

Complete exactly 90 credit points from the following:

  • AINT600Applied Deep Learning and Neural Networks10 CP
  • AINT601Human-Centred and Responsible AI10 CP
  • AINT602AI Systems Engineering and Machine Learning Operations10 CP
  • AINT603Generative and Agentic AI10 CP
  • AINT604AI for Decision Intelligence and Emerging Technologies10 CP
  • COMP630Ethical Leadership and Professional Practice in Artificial Intelligence and Emerging Technologies10 CP
  • DTSC610Data Wrangling and Machine Learning Fundamentals10 CP
  • DTSC620Statistical Data Modelling10 CP
  • DTSC630Predictive Modelling and Analytics10 CP

Complete exactly 20 of the following:

  • DTSC641Data Science Project A Research Essentials10 CP
  • DTSC642Data Science Project B - Implementation10 CP

Part C.1 OR Part C.2 OR Part C.3

    Part C.1 : Option A - Cybersecurity Stream

    Complete exactly 10 credit points from the following:

  • ITEC614Cyber Security Concepts10 CP
  • ITEC624Network Security and Applications10 CP
  • Part C.2 : Option B - Digital Health Stream

    Complete exactly 10 credit points from the following:

  • HLSC674Electronic Health Records, Health Data Exchange & Standards10 CP
  • PHIL519Ethical Practice in Digital Health10 CP
  • Part C.3 : Option C - Internship Stream

    Complete exactly 10 credit points from the following:

  • AINT605Industry/Applied AI Internship10 CP

Course map

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Always check your Course Enrolment Guide before you finalise your enrolment.

Course maps are subject to change.


Commencing Term 3

  • Specified unitsDTSC610 Data Wrangling and Machine Learning Fundamentals 10 cp
  • Specified unitsCOMP630 Ethical Leadership and Professional Practice in Artificial Intelligence and Emerging Technologies 10 cp
  • Specified unitsDTSC620 Statistical Data Modelling 10 cp
  • Specified unitsAINT602 AI Systems Engineering and Machine Learning Operations 10 cp

Commencing Term 4

Commencing Term 1 (2027 onwards)

Commencing Term 2 (2027 onwards)

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