Entry requirements and pathways
International students

Academic entry requirement

Prerequisites

Successful completion of an Australian bachelor degree (or equivalent).

Specialisation - compulsory: Computer science, information technology or information systems.

Note: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.

English language requirement

Please refer to our English Language Requirements page for details of other accepted English Proficiency tests and additional recognised English Language Proficiency Measures, such as English as the language of instruction.

Credit for previous study (advanced standing)

Credit for previous study (advanced standing) is the recognition of prior study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous study and the number of subjects completed.

The University will designate courses where there is only admission into Year 1 of the course. In these cases, there is limited credit. See list of limited entry courses.

To check if this course is available for credit, please visit the Advanced standing webpage.

Questions about the course?

Check when course applications close and find out how to apply directly.

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What you'll study

Sample course structure

Please note, the following course structure is indicative and subject to change depending on your course location, offer year or how you tailor your course with specialisations, majors, minors and electives. Structures for the following year are not normally finalised until October, so the sample provided is based on the most recently approved structure. For more information, please refer to the La Trobe University Handbook.

To qualify for the award of Graduate Certificate in Artificial Intelligence , students must complete a total of 60 credit points across 1 year.

Students who transfer to the Master of Artificial Intelligence from the Graduate Certificate in Artificial Intelligence, and complete the Industry Based Learning or Thesis Pathways, will not be eligible to undertake the Intelligent Systems and Robotics specialisation.

Year 1 requires the completion of 60 credit points including:

  • 60 credit points from chosen Core

Study options

Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.

Subject name Subject code Year Credit points
ACADEMIC INTEGRITY MODULE LTU0AIM 1 0
ARTIFICIAL INTELLIGENCE FUNDAMENTALS CSE4002 1 15
COMPUTER VISION CSE5CV 1 15
MACHINE LEARNING CSE5ML 1 15
NATURAL LANGUAGE PROCESSING CSE5NLP 1 15

See La Trobe University Handbook for more details

The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses.

View course information for Online

Questions about the course?

Check when course applications close and find out how to apply directly.

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 Call  (+61 3) 6145 0033

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Graduate Certificate in Artificial Intelligence course and career outcomes

However you choose to structure your study, La Trobe recognises your hard work. Here are the pathways you could follow as you move through your course.

Course intended learning outcomes

  • Apply advanced understanding of fundamental issues and techniques in information technology to a specialised area in artificial intelligence.
  • Critically evaluate and design solutions to technical problems in artificial intelligence.
  • Test theories in artificial intelligence using research and technical skill.
  • Apply information technology principles and research to develop artificial intelligence solutions.
  • Apply awareness of contemporary social and ethical issues to professional decision-making in artificial intelligence and computer science.

Graduate Certificate in Artificial Intelligence career opportunities

After graduation, you could work across a range of sectors including healthcare, manufacturing, agriculture, the automotive industry and more.

Possible* roles include:

  • Artificial intelligence architect
    • Identify how to successfully apply AI technology in business settings.
  • Software engineer
    • Use engineering principles and computer language to design, develop and maintain AI software systems.
  • Computer vision scientist
    • Program software to process and analyse image and video data used in automation and predictive decision-making.
  • Speech recognition engineer
    • Apply your knowledge of digital signal processing to create algorithms that accurately detect and process spoken words.

*Specific career outcomes may depend on the completion of further tertiary studies in AI or a related field.

Questions about the course?

Check when course applications close and find out how to apply directly.

Apply now

 Call  (+61 3) 6145 0033

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Chat is available from 9am to 5pm AEST Monday to Friday during business days.

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Fees and scholarships

Estimated course fees for international students

Estimated fees per year (2025): Indicative based on 2024 fees
A$15 800 full course duration (per 60 credit points).
Note: 120 credit points represents full-time study for one year.

Scholarships: Not available for this course

The International estimated fees are indicative only. The tuition fees you pay will depend on the subjects you choose to study, with each subject having its own cost. In some cases, your course fees may be higher than the indicated fees because of the subjects you choose.

International scholarships

This course is not eligible for international scholarships.

Questions about fees and scholarships?

Check when course applications close and find out how to apply directly.

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 Call  (+61 3) 6145 0033

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How to apply

Apply now or ask us a question if you need more help. You can also call us on +61 3 9627 4805.

Note: Some courses start earlier than the standard semester, term or study period. Applications for these courses close one week prior. Always check your course’s start date to ensure your application is submitted in time.

Check when course applications close

CRICOS code:

Ready to apply?

Check when course applications close and find out how to apply directly.

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Overview

Key facts

Award Graduate Certificate in Artificial Intelligence
Start dates

Indicative based on 2024 start dates

LTU Term 2 (March 2025), LTU Term 4 (July 2025), LTU Term 5 (September 2025)
Duration
Available locations Online
Scholarships View fees and scholarships
Annual tuition fee

Indicative based on 2024 fees

A$15 800 full course duration (per 60 credit points).
Note: 120 credit points represents full-time study for one year.

About the Graduate Certificate in Artificial Intelligence

Take a step into this rapidly evolving field with La Trobe's Graduate Certificate in Artificial Intelligence.

In this course, you'll explore the fundamentals of AI technology and their roles in different industries, including health, manufacturing, smart cities, sustainable energy infrastructure and precision agriculture.

You'll learn from educators who are leading the way in virtual reality and computer engineering. Whether you want to upskill or break into the AI industry, they'll work closely with you to understand your career goals – then help you achieve them.

Or, if you want to keep advancing your AI knowledge after you finish the graduate certificate: continue on to our Master of Artificial Intelligence. You could specialise in key areas including interactive media and computer vision, intelligent systems and robotics, or natural language processing.

You'll learn:

  • Problem solving with AI
    • Discover how research skills and algorithms are used to develop AI-based solutions for societal and industrial benefit, including the legal and ethical impact of AI.
  • Machine learning
    • Develop data analysis skills to design, implement and evaluate machine learning techniques for practical outcomes.
  • Computer vision
    • See how AI mimics the human brain to locate objects in digital images and videos by using neural outcomes networks designed for image recognition.
  • Natural language processing
    • Understand the interactions between computers and human language that are used to program computers to process and analyse large volumes of data.

Students who commence study in Semester 1 will only have part-time study available. Students who commence study in Semester 2 will have the choice of full-time or part-time study.

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 8 - Graduate Certificate.

Have questions?

Check when course applications close and find out how to apply directly.

Apply now

 Call  (+61 3) 6145 0033

Live chat

Chat is available from 9am to 5pm AEST Monday to Friday during business days.

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