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Curtin University

  • 28% international / 72% domestic

Master of Artificial Intelligence

  • Masters (Coursework)

This course enhances IT/computational science or engineering skills with AI expertise, focusing on machine learning, neural networks, and ethical AI solutions. It includes practical assessments and an industry-based project.

Key details

Degree Type
Masters (Coursework)
Duration
1 year full-time, 2 years part-time
Course Code
MC-AINTL, 105742M
Study Mode
In person
Intake Months
Feb, Jul
International Fees
$38,008 per year / $38,008 total

About this course

Overview

This course will enhance your existing abilities in IT/computational science or engineering by equipping you with AI expertise.

The course focuses on machine learning and emphasises the skills sought by the industry, such as neural networks design and implementation, while continually reinforcing the fundamental knowledge that underpins AI.

You will undertake assessments and tasks using the latest deep-learning models and tools, ensuring your learning is practical and stimulating. There are opportunities to complete assessments based on solving an AI challenge for your organisation.

You'll also develop ethical, responsible and explainable AI solutions that align with current government standards, qualifying you to be part of a national effort to deliver AI that is safe, secure and reliable.

In your final semester you'll showcase your AI competencies by completing an extensive industry-based project.

Entry requirements

Admission criteria

What you need in order to get into this course. There are different pathway options depending on your level of work and education experience.

A 3-year recognised Bachelor degree in Information Technology or Computational Science or Engineering with a minimum of 2 years relevant work experience or a 4-year degree in Information Technology or Computational Science or Engineering

English requirements

Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.

IELTS Academic (International English Language Testing System)

  • Writing: 6.0
  • Speaking: 6.0
  • Reading: 6.0
  • Listening: 6.0
  • Overall band score: 6.0

Application Requirements

Please refer to our application requirements before applying for this Curtin course.

If you're applying based on Work Experience, you will need to provide a letter of employment that outlines your role and responsibilities. Alternatively, you can provide a letter of employment and position description.

What you will learn

What you'll learn

  • demonstrate specialised knowledge in different areas of machine learning.
  • provide innovative, creative and entrepreneurial solutions underpinning science and analytical methods in artificial intelligence to address real world applications.
  • communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences.
  • develop leading edge technology and expert skills ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO.
  • create artificial intelligence solutions that are underpinned by ethics, sustainability and social responsibility.
  • demonstrate initiative, leadership when working independently and collaboratively using problem solving and decision-making skills.

Career pathways

You may be employed in an industry or government setting as an AI specialist, machine learning engineer, data mining specialist or researcher.

Credit for prior study or work

Finish your course sooner with credit for your previous study or work experience.

How to apply

Please review information on how to apply for the campus of your choice

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Curtin University.
82.6%
Overall satisfaction
89.5%
Skill scale
80.2%
Teaching scale
73.6%
Employed full-time
$90k
Average salary