Master of artificial intelligence

This Masters program provides students with a broad range of Artificial Intelligence (AI) topics ranging from foundations to state-of-the-art technologies and applications.

OVERVIEW

CRICOS code 0101783
Duration (Full Time) 2 Years
2024 Course Fees
Intake Dates March, July

Students Only available to international students

Faculty School of Computer, Data
and Mathematical Sciences
Campus Melbourne

Entry Requirements

English Language Requirement

Overall IELTS (Academic) band score of 6.5 with no individual band score less than 6.0, or equivalent.

Academic Entry Requirements

Successful completion of a recognised Bachelors degree equivalent to an Australian degree

COURSE OUTLINE

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: intelligent agents, machine learning, knowledge representation and reasoning, natural language understanding and processing, AI ethics and governance, as well as relevant specialisation areas in computing and data sciences.

ACADEMIC ENTRY REQUIREMENTS

  • Undergraduate degree in Information Technology, Information Systems or Computer Science or equivalent. Degrees in other disciplines containing at least 8 units in Information Technology or other relevant disciplines such as data science, engineering, communications technology, may also be eligible OR

  • Undergraduate degree in any discipline AND at least one-year full-time equivalent work experience in Information Technology, Information Systems or Computer Science or other relevant work experience

MAJORS AVAILABLE

  • Cyber Security
  • Data Analytics

COURSE UNITS AVAILABLE

  • Artificial Intelligence Ethics and Organisation
  • Advanced Topics in Artificial Intelligence
  • Applied Machine Learning
  • Natural Language Understanding
  • Computer Vision
  • Visualisation
  • Knowledge Representation and Reasoning
  • Project A & B
  • Applied Cybersecurity
  • Network Technologies
  • Information Security Management
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