Macquarie University

Master of Information Technology in Artificial Intelligence

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Gain advanced capabilities in machine learning, natural language processing, computer vision and automated decision-making while learning to design ethical, human-centred AI solutions through industry-informed study and a major project.

Course overview

Artificial intelligence is transforming industries through advances in predictive analytics, intelligent automation, computer vision, natural language processing and personalised technologies. Macquarie University’s Master of Artificial Intelligence prepares you to design, evaluate and deploy intelligent systems that are technically robust, efficient and socially responsible.

Co-designed with CSIRO, CommBank and Oracle, the course develops advanced knowledge of programming, data science, machine learning, automated decision-making and AI applications in cyber security and business. You will also examine the ethical, legal and societal implications of intelligent technologies, drawing on perspectives from computing, philosophy, law and business.

Practical and project-based learning will allow you to apply your knowledge to complex AI challenges and strengthen your professional capabilities. You will study in Macquarie’s dedicated computing precinct and complete a substantial major project, preparing you to contribute to the design and responsible implementation of AI systems across diverse industries.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $4,512.50
More Information
The estimated fee is determined by individual units of study and the year the course was commenced.
Campus
Macquarie North Ryde
Intake
22nd February, 2027
26th July, 2027
Units
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You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
16
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To earn the Master of Artificial Intelligence, you must successfully complete 160 credit points, as detailed below. Unless otherwise noted, each course is worth 10 credit points.

The structure below is based on the two-year course pathway.

Foundation units

Complete all of the following:

  • Foundations of Computer Programming
  • Networking and Cloud Computing
  • Data Science
  • Intelligent Machines, Ethics and Law
  • Knowledge, Planning and Decision Making under Uncertainty
  • Artificial Intelligence for Text and Vision
  • Foundations of Artificial Intelligence and Cyber Security
  • Business Applications of Artificial Intelligence

Core units

Complete all of the following:

  • Advanced Machine Learning
  • Applications of Artificial Intelligence for Cyber Security
  • Advanced Natural Language Processing
  • Advanced Computer Vision and Action
  • Automated Decision Making in Business
  • Rights, Responsibilities, and AI
  • Major Project (20 credit points)

Entry requirements

Academic requirements

To be eligible for this course, applicants must:

  • Hold an AQF level 7 bachelor’s degree in a related field or a recognised equivalent qualification.

Related fields include Artificial Intelligence, Information Technology, Statistics, Mathematics, Engineering, Science, Actuarial Studies, Data Science and Computing.

English language requirements

Applicants must provide evidence of English language proficiency through at least one accepted option, including:

  • IELTS Academic: overall score of 6.5, with at least 6.0 in reading, writing, listening and speaking

Applicants may also satisfy the English language requirements by completing another approved English language test or holding an eligible qualification taught in English in an approved country.

Other approved qualifications and pathways may also be used to meet Macquarie University’s English language requirements. Contact the university for further information.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Career outcomes

Graduates may pursue careers in roles such as:

  • Potential career outcomes include:
  • AI Consultant
  • AI Governance Specialist
  • AI Research Scientist
  • AI Solutions Architect
  • AI Transformation Manager
  • Business Intelligence Developer
  • Computer Vision Engineer
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Ethical AI Adviser
  • GenAI and ML Model Operations Specialist
  • Machine Learning Specialist
  • Natural Language Processing Engineer
  • Operations Manager
  • Policy Adviser
  • Robotics Engineer
  • Software Engineer
  • User Experience Designer

Fees and FEE-HELP

Full-fee paying place

Indicative unit fee in 2027: $4,512.50 (10-credit-point unit)
Indicative annual fee in 2027: $36,100
Indicative full-course fee: $72,200

The average full-course fee shown is calculated based on the 160 credit point (16 units) course structure completed over 2 years.

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

  • The number of units studied.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee-paying domestic students with the cost of a university course.