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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.

This offering version is phasing out and no longer taking applications. You may be able to apply for a later version.

Course outline
  • Qualification
    Master of Artificial Intelligence
  • Duration

    Duration

    1 year full-time
  • Credit

    Credit

    200
  • CRICOS

    CRICOS

    105742M
Course outline

Outline

Outline

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

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 charges

Domestic fee paying postgraduate

2024 Fee year:

$31,588*

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
  • 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: 5 October 2024

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