Master of Artificial Intelligence

Professionals with expertise in artificial intelligence (AI) are in great demand worldwide, and this need is only expected to increase. The Master of Artificial Intelligence program, taught by some of the top experts in the field, equips you with the specialised knowledge and flexibility you need to lead the AI revolution. It gives you the ability to create, build, and run intelligent systems and AI-based products that will improve everything from manufacturing, legal services, and financial services to healthcare, agriculture, and education.
Deep learning, machine learning, natural language processing, human-computer interactions, and contemporary optimisation approaches are all covered in this artificial intelligence program's fundamental sections. You will also gain a deeper grasp of AI's ethical concerns and best practices, as well as its profound effects on businesses, societies, and the global community.

Entry Level 1 (96 points, 2 years full-time, 4 years part-time):

• An Australian bachelor's degree (or equivalent), not necessarily in IT, with a minimum WAM 60.

Entry Level 2 (72 points, 1.5 years full-time, 3 years part-time):

• An Australian bachelor's degree or equivalent in a cognate discipline relating to IT, or an engineering or science degree with a substantial IT component including Python programming, data structures and algorithms, databases, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics), with a minimum WAM 60 or equivalent.

Important Note:

• The pathway to Entry Level 1 or Entry Level 2 is subject to an internal assessment of the applicant's qualifications to conform to the MQA Program Standards for Computing.

English Language Requirements:

• IELTS (Academic)/IELTS One Skill Retake (Academic)/IELTS Online:
  • Overall score: 6.5
  • Listening score: 6.0
  • Reading score: 6.0
  • Writing score: 6.0
  • Speaking score: 6.0
• TOEFL iBT/TOEFL iBT Paper Edition:
  • Total Score: 79
  • Listening score: 12
  • Reading score: 13
  • Writing score: 21
  • Speaking score: 18
• PTE Academic:
  • Overall score: 58
  • Listening score: 50
  • Reading score: 50
  • Writing score: 50
  • Speaking score: 50
• C1 Advanced or C2 Proficiency:
  • Overall score: 176
  • Listening score: 169
  • Reading score: 169
  • Writing score: 169
  • Speaking score: 169

PART A. FOUNDATIONS FOR ADVANCED ARTIFICIAL INTELLIGENCE STUDIES:

• Introduction to databases
• Algorithms and programming foundations in Python
• Introduction to computer architecture and networks
• Mathematical foundations for data science

PART B. CORE MASTER’S STUDIES:

• Fundamentals of artificial intelligence
• Project management
• IT research methods
• Machine learning
• Deep learning
• Modelling discrete optimisation problems
• Multi-agent systems and collective behaviour
• Choose one of the following:
  • Natural language processing
  • Malicious AI

PART C. ADVANCED PRACTICE:

• Industry experience: A program of coursework involving advanced study and an industry experience studio project.
• Master’s thesis: A research pathway including a thesis. (Recommended for those wishing to pursue a PhD).