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Why study the Graduate Certificate in Artificial Intelligence Management with UTS Online?

Top 100 University globally1

#1 in Australia for Artificial Intelligence2

Top 10 globally for Artificial Intelligence2

Australia’s largest Artificial Intelligence research facility4


1QS World University Rankings, 2027 2Shanghairanking’s Global Ranking of Academic Subjects, 20263Academic Ranking of World Universities, 2025 4Australian Artificial Intelligence Institute.

AI moves fast. Good decisions still need judgement.

AI can create new opportunities across almost every part of an organisation, but deciding where it belongs is more complex than choosing the latest tool. Leaders need to understand what AI can do, where it can create value, what risks it introduces and how to turn technical capability into outcomes that make sense for the organisation.

The UTS Online Graduate Certificate in Artificial Intelligence Management builds practical capability across artificial intelligence, machine learning, data visualisation, ethics, regulation and enterprise AI. Designed for working professionals, the four-subject course focuses on applying AI in organisational contexts and provides a pathway into the Master of Technology Management when you’re ready to broaden your technology leadership capability.

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Professional analysing artificial intelligence and data systems on a computer.
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Technology management professional consulting on digital transformation initiatives.

Who is this course for?

The UTS Online Graduate Certificate in Artificial Intelligence Management is designed for professionals who want to understand how AI can be applied across organisations and build the capability to contribute to AI-enabled initiatives responsibly.

Whether you work across technology, business, product, projects, operations or transformation, the course can help you connect technical possibilities with organisational priorities and decision-making.

This course may suit professionals looking to:

  • Understand how AI and machine learning can be applied across organisations
  • Identify where AI can create practical value
  • Work more effectively across business, technical and data teams
  • Build capability in AI ethics, governance, regulation and risk
  • Create a pathway into the Master of Technology Management

See entry requirements under course information for more eligibility information.

What you will study

The UTS Online Graduate Certificate in Artificial Intelligence Management comprises four online subjects totalling 24 credit points, building practical capability across data visualisation, AI ethics and regulation, machine learning and enterprise AI.

CORE SUBJECTS

Complete all four subjects:

  • Data Visualisation and Visual Analytics (6CP)
  • Data Ethics and Regulation (6CP)
  • Machine Learning (6CP)
  • Artificial Intelligence for Enterprises (6CP)

CP = credit points. Subject descriptions and learning outcomes are available via the subject links on this page. Subject availability, sequencing and course structures are subject to change. 

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Professional working with artificial intelligence and data systems across multiple computer monitors.

Flexible course options

Whether you’re ready to take the next step or prefer to start with a shorter qualification, begin with the Graduate Certificate in Artificial Intelligence Management and continue into the Master of Technology Management when you’re ready.

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1. Diagram illustrating the four stages of a Master of Technology in Technology Management program.

Learning outcomes

The UTS Online Graduate Certificate in Artificial Intelligence Management gives you the capability to understand AI technologies, evaluate where they can create value and contribute to responsible, evidence-informed AI decisions across organisations. 

Leverage AI and machine learning for business innovation

Apply cutting-edge machine learning techniques to solve complex challenges in business and industry. Design AI-driven solutions that optimise operations and drive strategic decision-making.

Master data visualisation and analytics

Transform complex data into actionable insights using advanced visualisation techniques. Critically assess and apply multi-dimensional data representations to enhance AI-driven decision-making.

Navigate AI ethics, governance and regulation

Develop a deep understanding of ethical frameworks, governance policies and regulatory considerations in AI. Ensure responsible AI implementation that aligns with societal, organisational and legal standards.

Implement AI strategies for enterprise transformation

Compare and evaluate AI technologies to develop scalable solutions for enterprise challenges. Apply AI methodologies to business contexts, ensuring seamless integration and measurable impact.

Career outcomes

The UTS Online Graduate Certificate in Artificial Intelligence Management builds capability relevant across AI adoption, product, technology, governance and digital transformation.

Depending on your professional background and experience, graduates may explore opportunities such as:

  • Business Analyst
  • Project Manager
  • Product Manager
  • IT Manager
  • Digital Transformation Lead
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Infographic illustrating career outcomes in technology management and digital leadership roles.

Course information

Entry Requirements

This course is currently available to Australian citizens or permanent residents and is best suited to professionals with experience in business, technology or related fields looking to apply AI in their role. If you’re unsure whether you meet the requirements, a Student Enrolment Advisor can help assess your eligibility.  

Applicants must have the following:

  • Completed Australian bachelor’s degree or higher qualification, or overseas equivalent, in Information Technology or Electrical and Electronic Engineering and Technology, AND a minimum of 1 year’s full-time (or equivalent part-time) relevant professional work experience# in:
    • a technology role, or
    • a professional enterprise role, or
    • alternative experience through contributions to organisations, communities, start-ups or entrepreneurship 

OR

  • Completed Australian bachelor’s degree or higher qualification, or overseas equivalent, in any field of study, AND a minimum of 1 year’s full-time (or equivalent part-time) relevant professional work experience# or alternative experience through contributions to organisations and/or communities and/or start-ups and/or entrepreneurship in a role which demonstrates skills and knowledge in technology and/or artificial intelligence 

OR

  • A minimum of 3 years’ full-time (or equivalent part-time) relevant professional work experience# or alternative experience through contributions to organisations and/or communities and/or start-ups and/or entrepreneurship in a role which demonstrates skills and knowledge in technology and/or artificial intelligence 

#Relevant professional work experience is defined as employment within OSCA groups of ICT professionals, ICT and Telecommunications Technicians and ICT Managers.

Applicants who do not meet the entry requirements for the Graduate Certificate in Artificial Intelligence Management may use the successful completion of the Graduate Certificate in Technology Management as a pathway to the Masters of Technology Management, provided they meet the specific entry requirements.


Supporting documentation to be submitted with the application

For applicants who need to demonstrate professional work experience:

  • Curriculum Vitae AND Statement of service in one of the following formats:
    • A 'Statement of Service' provided by the employer
    • A completed 'UTS statement of service’ signed by the employer
    • A statutory declaration confirming professional work experience (Australian residents only)
    • An official letter from the applicant’s accountant or solicitor, on company letterhead, confirming the applicant’s professional work experience or engagement with the business, duration of operations, and nature of the business
    • A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)

Eligibility for admission does not guarantee an offer of a place.

English Language Requirements
Recognition of Prior Learning
FEE-HELP

Want to check your eligibility?

Not only do we have the right tools and support teams to help you – we have people who care about your success.

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$128,000 

Average salary

Artificial Intelligence Specialists in Australia earn an average salary of approximately $128,000 per year, reflecting the financial rewards associated with expertise in AI.

(Talent.com)

74% 

Global job market growth

Globally, AI roles have experienced significant growth, with a 74% annual increase, positioning AI among the top 15 jobs worldwide. 

(Forbes)

300,000 

Tech Workers by 2030

Australia requires an additional 300,000 tech workers by 2030 to support its AI agenda and technological growth, highlighting critical demand for skilled professionals.

(The Australian)

Upcoming intakes

UTS Online courses have 6 intakes per year. The diagram below shows all upcoming intakes. Our next intake is highlighted below.

Meet our Course Coordinator

“We prepare technology leaders for a world where innovation, data, and artificial intelligence are transforming every industry. While technology drives change, it is people and leaders who shape its impact. Our Master of Technology Management combines academic excellence with industry relevance to develop professionals who can lead ethical, sustainable, and responsible innovation for the benefit of organisations and society.”

Dr Madhushi Bandara
Course Coordinator, Master of Technology Management


Dr Madhushi Bandara is a Senior Lecturer in the School of Computer Science at UTS and Director of the Master of Technology Management. Her work spans artificial intelligence, software systems and data-intensive digital ecosystems, with research applied across healthcare, finance and telecommunications. Through her teaching, you’ll build the capability to understand emerging technologies, work across business and technical teams and contribute to technology-enabled transformation.

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Madhushi Bandara

Download a course guide

Download a course guide to explore detailed subject descriptions, entry requirements, pathway options and fee information.

By submitting this form you agree to be contacted by UTS regarding furthering your education.Privacy Policy.

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What our students are saying
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“I thought completing one subject at a time would be much easier for me to juggle with my work. Everything was in one place. The broad coverage of what I studied has been really helpful, because I’m opening my progression up to those new paths.” 

Audrey B, UTS Online Graduate

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“I continued some friendships from fellow students and also continued the relationship with UTS.” 

Ben G, UTS Online Graduate

Frequently asked questions

A Graduate Certificate in Artificial Intelligence Management is a postgraduate qualification focused on how artificial intelligence can be evaluated, governed and applied in organisational and business contexts.

The UTS Online Graduate Certificate in Artificial Intelligence Management develops capability across enterprise AI, machine learning, data visualisation, ethics and regulation, helping experienced professionals make informed decisions about AI adoption without training to become AI engineers or data scientists.

Artificial intelligence management is the strategic evaluation, governance and application of AI within an organisation.

It involves identifying where AI can create value, understanding data and AI capabilities, working with technical teams, managing ethical and regulatory considerations, and guiding AI initiatives so they support organisational goals.

The UTS Online Graduate Certificate in Artificial Intelligence Management is designed for experienced professionals who want to apply AI in business, technology or related organisational contexts.

It can suit professionals who work with data or technical teams, contribute to digital or transformation initiatives, manage projects or products, or want to build the confidence to make more informed decisions about AI adoption, governance and implementation.

The course can suit professionals who are new to applying AI, but it is not designed for people at the very beginning of their careers or with no relevant professional context.

You do not need to be an AI specialist or have coding experience. However, the course is best suited to experienced professionals in business, technology or related fields who want to understand how AI can be applied, governed and managed in real organisational settings.

Not necessarily. The course has entry pathways for applicants from both technology and non-technology backgrounds, but relevant professional experience is required.

Current entry pathways include a relevant technology degree plus at least one year of relevant experience; a degree in another field plus at least one year of experience that demonstrates technology or AI knowledge; or at least three years of relevant professional or equivalent experience demonstrating technology or AI capability.

Eligibility for admission does not guarantee an offer of a place.

No. A coding background is not required.

The course focuses on how professionals evaluate, govern and apply AI in business and organisational contexts rather than training students to build AI systems from code. You’ll develop enough understanding of AI and machine learning to work more effectively with technical teams and make informed decisions about AI adoption.

You’ll build capability in identifying AI opportunities, evaluating AI technologies, interpreting data-informed insights, working with technical teams and considering the ethical, governance and regulatory implications of AI.

You’ll also strengthen your understanding of machine learning, data visualisation and enterprise AI so you can contribute to practical AI initiatives and make more informed decisions about implementation.

The UTS Online Graduate Certificate in Artificial Intelligence Management comprises four core subjects totalling 24 credit points:

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

Together, these subjects build capability across enterprise AI, machine learning, responsible AI, governance and the interpretation and communication of data.

The UTS Online Graduate Certificate in Artificial Intelligence Management focuses on applying and managing AI rather than training you to become an AI engineer or data scientist.

You’ll study how AI and machine learning can be used in organisations, how to interpret data and visualisations, how to evaluate AI opportunities and how to address ethics, governance and regulation.

The emphasis is on informed decision-making, implementation and leadership rather than coding-intensive model development.

Yes. The course is designed around practical application in organisational contexts.

You can use what you learn to identify potential AI use cases, evaluate AI opportunities and risks, communicate more effectively with technical teams, interpret data-informed insights and contribute to decisions about responsible AI adoption in your workplace.

The UTS Online Graduate Certificate in Artificial Intelligence Management can be completed in a minimum of eight months.

The course comprises four online subjects totalling 24 credit points, with students studying one subject at a time through the UTS Online study model.

Yes. The UTS Online Graduate Certificate in Artificial Intelligence Management is designed for experienced professionals who want to complete postgraduate study alongside existing work and personal commitments.

You’ll study one subject at a time through structured online learning, allowing you to focus on one area of AI management at a time and connect what you learn with practical organisational challenges.

How you balance work, study and personal commitments will depend on your individual circumstances, so it is important to plan for the weekly study requirements of each subject.

Yes. The UTS Online Graduate Certificate in Artificial Intelligence Management provides a pathway into the Master of Technology Management.

The Graduate Certificate comprises four subjects totalling 24 credit points and aligns with the Artificial Intelligence major in the master’s. If you successfully complete the Graduate Certificate and receive full credit for those four subjects towards the 12-subject master’s degree, you will have eight additional subjects remaining, subject to current UTS credit rules.

The Graduate Certificate in Artificial Intelligence Management is a four-subject postgraduate qualification focused specifically on enterprise AI, machine learning, data ethics and data visualisation.

The Master of Technology Management is a 12-subject master’s degree that develops broader technology leadership capability across areas such as digital strategy, innovation, enterprise agility, AI, data, cybersecurity and technology-enabled transformation.

The Graduate Certificate can also provide a pathway into the master’s.

Both UTS Online Graduate Certificates can provide pathways into the Master of Technology Management, but they focus on different capability areas.

The Graduate Certificate in Artificial Intelligence Management focuses on enterprise AI, machine learning, data ethics and data visualisation.

The Graduate Certificate in Technology Management provides a broader technical foundation across cybersecurity, databases, enterprise AI and Python programming.

The right option depends on whether you want to focus more deeply on AI management or build broader technology capability.

You may be eligible to apply for Recognition of Prior Learning, or RPL, if your previous study or professional experience meets the relevant UTS course requirements.

UTS assesses RPL after an offer of enrolment has been accepted. The amount of credit available depends on your individual circumstances and the evidence provided.

AI management capability can be applied across business analysis, projects, products, technology management and digital transformation roles.

Career directions identified by UTS Online for graduates include:
• Business Analyst
• Project Manager
• IT Manager
• Product Manager
• Digital or Transformation Lead

The qualification does not lead to one specific role, and career outcomes will depend on your previous experience and how you apply AI capability within your field.

Whether a Graduate Certificate in Artificial Intelligence Management is worthwhile depends on your professional experience, career goals and the AI capability you want to build.

For experienced professionals who need to understand how AI can be evaluated, governed and applied without becoming technical AI specialists, the course provides a structured way to build capability across enterprise AI, machine learning, data, ethics and governance.

It can also provide a pathway into the UTS Online Master of Technology Management if you decide to continue your postgraduate study.

The current indicative tuition fee for the UTS Online Graduate Certificate in Artificial Intelligence Management is $18,700 in total, with an indicative fee of $4,675 per subject.

Fees are indicative and subject to change. Your total course fee may vary depending on your study plan, Recognition of Prior Learning and the fees applicable at the time of enrolment, so refer to the UTS Online fees page for the latest information.

Yes. FEE-HELP is available to eligible students studying the UTS Online Graduate Certificate in Artificial Intelligence Management.

FEE-HELP is an Australian Government loan scheme that can help eligible full-fee-paying students cover some or all of their tuition fees.

Eligibility requirements apply, so check the current FEE-HELP information before enrolling.

UTS Online courses have six intakes per year, giving you multiple opportunities to commence the Graduate Certificate in Artificial Intelligence Management.

Intake dates can change from year to year, so refer to the course page for the next available intake and current application dates.

For a standard six-credit-point UTS Online subject, you should typically allow around 15–20 hours per week for study.

This can include working through weekly learning materials, completing readings and activities, participating in online discussions and preparing assessments. Your actual study time may vary depending on the subject, your previous experience and assessment deadlines.

UTS Online students generally study one subject at a time, helping you focus your study around your professional and personal commitments.

For more information, read our guide to study resources with an example study schedule.

Assessment in the UTS Online Graduate Certificate in Artificial Intelligence Management varies by subject and is designed to reflect practical, real-world AI management, data, governance and business application challenges.

Depending on the subject, assessments may include written assignments, case analyses, data interpretation or visualisation tasks, presentations, quizzes, proposals, applied projects, oral assessments and collaborative activities.

Assessment requirements, including whether exams or group assessments apply, are subject-specific, so refer to the individual subject information in the UTS Handbook for current details.

The UTS Online Graduate Certificate in Artificial Intelligence Management is delivered online through Canvas, with students studying one subject at a time through structured weekly modules. You’ll engage with practical activities, multimedia learning, peer discussions and assessments designed to connect your studies with real-world AI management, data, governance and organisational challenges.

Throughout the course, you’ll also have access to support including:
• A dedicated Student Success Advisor
• Academic and assignment support
• UTS Career Hub resources and networking opportunities
• Peer learning and presentation support
• Confidential health and wellbeing services

Here’s a video example showcasing key features of our online learning platform, including tools designed to enhance your study experience.

Or read our tips for balancing postgraduate study with work and life: https://studyonline.uts.edu.au/blog/balancing-postgraduate-study-and-life-commitments-practical-tips-success

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Explore your study options with UTS Online

Schedule a call with our team to discover how UTS Online can support you in reaching your goals.

Our Student Enrolment Advisors can assist with: 

  • Courses and pathway options 
  • Course fees and FEE-HELP 
  • Entry requirements and recognition of prior learning (RPL)
  • Preparing your application 

Ready to apply? Take the next step in your career by clicking the 'Apply now' button below.

Acknowledgement of Country

 

UTS acknowledges the Gadigal people, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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