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    MC-AINTL

    Artificial Intelligence

    Master by coursework

    Gain the skills to develop and deploy software solutions that learn to make decisions, and address real-world challenges with AI.

    Course outline
    • Qualification
      Master of Artificial Intelligence
    • Duration

      Duration

      1 year full-time, part-time
    • Credit

      Credit

      200
    • CRICOS

      CRICOS

      105742M
    • Location

      Location

      Curtin Perth,  Curtin University Dubai
    Course outline

    Deadlines for applying direct to Curtin

    Select your preferred campus:

    Intake Application open Application close

    Semester 1, 2026

    21 April 2025

    Applications now closed!

    Semester 2, 2026

    Applications now open!

    2 July 2026

    Semester 1, 2027

    1 May 2026

    28 January 2027

    Semester 2, 2027

    1 March 2027

    1 July 2027

    Course outline

    Overview

    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. 

     

    What jobs can the Artificial Intelligence course lead to?

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

    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.

    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.

    You may demonstrate English proficiency using the following tests and qualifications.

    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.

    Credit for recognised learning (CRL)

    Use your experience to get credit towards your degree

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

    Fees and scholarships

    Domestic fee paying postgraduate

    2026 Fee year:

    $36,162*

    Domestic

    Domestic

    Fees are indicative only.

    * Based on a first-year full-time study load of 200 credits. The total cost will depend on your course options (i.e. units selected and time taken to complete).

    Looking for more detail on the course structure?

    View course structure

    Location

    For start dates, please view the academic calendar.

    Curtin Perth flag

    2026

    Semester 1
    • On campus
    Semester 2
    • On campus

    2027

    Semester 1
    • On campus
    Semester 2
    • On campus

    All endeavours are made to ensure location information for courses is up to date but please note they are subject to change.

    The University reserves the right to withdraw any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/or to vary arrangements for any program.

    How to apply

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

    Please note that each campus has different application deadlines. View our application deadlines page for further information.

    Apply now
    • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

      The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

      While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

      View courses information disclaimer.

    • Curtin course code: MC-AINTL
    • CRICOS code: 105742M
    • Last updated on: 9 March 2026

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