University of Technology Sydney

Graduate Certificate in Artificial Intelligence Management (Online)

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 8 months
  • Course Type: Graduate Certificate

Delivered 100% online, you will learn the foundations of artificial intelligence management including machine learning methods and state-of-the-art algorithms, all while applying principles of ethics and governance.

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  • Course structure
  • Learning outcomes
  • Fees
  • Entry requirements

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Course overview

The UTS Online Graduate Certificate in Artificial Intelligence Management is designed for tech-driven individuals who want to develop their knowledge in artificial intelligence, data and process management. This course suits tech-driven individuals who wish to develop their expertise in artificial intelligence, data and process management.

Upon completing the Graduate Certificate, you can progress into a Master of Technology Management.

Key facts

Delivery
Online
Course Type
Graduate Certificate
Duration
8 months (Part time)
Price Per Unit
From $4,474
More Information
The estimated per-unit fee is calculated using the annual average first-year fee. It is based on a part-time study load of 24 credit points (normally four subjects) per year.
Intake
New start dates announced soon
Units
More Information
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.
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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

The UTS Online Graduate Certificate in Artificial Intelligence comprises four subjects (24 credit points) and can be completed in eight months.

You will study the following subjects:

  • Data Visualisation and Visual Analytics
  • Data Ethics and Regulation
  • Machine Learning
  • Artificial Intelligence for Enterprises

Entry requirements

Pathway 1

Completed bachelor's degree (or overseas equivalent) in Computer Science, Information Technology, Information Systems, Business Data Analytics, Software Engineering or others comparable to Field of Education (FoE) 02 Information Technology; or one of the following in a relevant field:

  • Completed Master's Degree
  • Completed Graduate Diploma
  • Completed Graduate Certificate
  • Completed Doctorate or Masters (Research or Coursework)
  • Incomplete coursework Doctorate
  • Incomplete coursework Masters (one year and above)

Additional Requirements

In addition to the outlined qualifications, applicants must have at least one year of full-time (or equivalent) experience in a related role to the Graduate Certificate or Graduate Diploma (or alternative experience through their contributions to organisations and/or communities and/or start-ups and/or entrepreneurship may be considered). For those applicants interested in the master's who do not meet the additional requirements for admission, this is an alternative entry point.

This will be supported by the submission of:

  • A CV, electronic portfolio or professional profile outlining work experience, employment dates and position(s) held within the organisation.

Assessment of other criteria:

  • Demonstrates experience in a technology or enterprise role related to artificial intelligence demonstrating work integrated learning and contextualisation of academic qualifications.

Eligibility for admission does not guarantee a place offer.

Pathway 2
English language requirements

Outcomes

Learning Outcomes

Upon successful completion of the Graduate Certificate in Artificial Intelligence Management, you will develop skills through the following learning outcomes:

  • Use data visualisation methods to represent and navigate large information spaces and critique and evaluate different approaches. Apply multi-dimensional visualisation techniques to the process of visual data analytics.
  • Gain an understanding of the regulation and ethics of data principles in the digital environment and apply your knowledge to understand the impact on organisations, individuals and society.
  • Learn how to apply state-of-the-art algorithms to your professional practice. Design an approach to machine learning problems in specialised domains and critically assess the impact of machine learning.
  • Compare and contrast technologies used to achieve AI solutions and apply data visualisation techniques to an enterprise data set.

Career Outcomes

Students of this course may have minimal IT experience moving into tech organisations. This course could lead to roles such as:

  • AI Specialist
  • IT/Digital Project Manager
  • Head of Digital
  • Technical Product Manager

Fees and FEE-HELP

Indicative tuition fee per subject in 2026: $4,474 (domestic full-fee paying place)

Indicative total tuition fee in 2026: $17,895 (domestic full-fee paying place)

All costs are calculated using current rates and are based on a study load of 24 credit points (normally four subjects) per year.

Student fees may vary in accordance with:

  • The number of subjects studied per term.
  • The choice of major or specialisation.
  • Choice of courses.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

You may also need to pay the student services and amenities fee.

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 program.