Why study the Graduate Certificate in Artificial Intelligence Management with UTS Online?
Australia's Top 5 university for Computing Science & Engineering1
Ranked in the Top 10 nationally for graduate employability2
Top 100 University Globally3
Australia’s largest Artificial Intelligence research facility4
1Academic World Ranking of World Universities, 2024. 2QS Graduate Employability Rankings, 2024 3QS World University Rankings, 2025. 4Australian Artificial Intelligence Institute
Develop the foundations to support AI processes
According to Honeycomb research, a common opinion of technology leaders is that the demand for artificial intelligence is only expected to increase and those already in the field are able to leverage their expertise.
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.
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.
Upon successful completion of the Graduate Certificate, you will have the opportunity to progress into a Master of Technology Management.
Who is this course for?
The Graduate Certificate in Artificial Intelligence is suitable for tech-driven individuals who want to develop their knowledge in artificial intelligence, data and process management.
Students of this course have technical knowledge from various industries, and might work in roles such as:
- Systems Analyst
- Data Scientist
- Computer Systems Architect
- Analytics Manager
- IT Manager
- IT Project Manager
- General Manager, IT
- User Interface (UI) Engineer
- Solutions Lead
- Website/App Developer
See entry requirements under course information for more eligibility information.
What you will study
The UTS Online Graduate Certificate in Artificial Intelligence comprises four online subjects (24 credit points (CP) in total).
Complete all of the following subjects:
- Data Visualisation and Visual Analytics
- Data Ethics and Regulation
- Machine Learning
- Artificial Intelligence for Enterprises
Note: Most UTS Online subjects are valued at 6 credit points each. For detailed subject descriptions and further information, please download a course guide.
Explore our Technology study pathways
Pathway options are available for students who complete a graduate certificate course and wish to progress to the master’s course. These pathways provide flexibility and allow students to tailor their learning experience to their individual needs and interests.
Learning Outcomes
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.
Course information
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; or
- Completed Graduate Diploma; or
- Completed Graduate Certificate; or
- Completed Doctorate or Masters (Research or Coursework); or
- Incomplete coursework Doctorate; or
- Incomplete coursework Masters (1 year and above).
Additional Requirements
In addition to the outlined qualifications, applicants must have at least one year 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 masters who do not meet the additional requirements for admission, this is an alternative entry point.
This will be supported by submission of:
- A CV, electronic portfolio or professional profile outlining work experience, the dates of employment 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 an offer of a place.
Pathway 2
Applicants who do not meet the academic qualification requirements for admission, but have professional practice (three-year minimum) and a general capacity to undertake tertiary education may be considered.
This will be supported by submission of:
- A CV, electronic portfolio or professional profile outlining work experience, the dates of employment and position(s) held within the organisation.
Assessment of other criteria:
- Demonstrates experience in a technology or enterprise role related to artificial intelligence, demonstrating skills of assumed prior knowledge required for the relevant course.
Eligibility for admission does not guarantee an offer of a place.
Note: 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, provided they meet the specific entry requirements.
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.
Career outcomes
The UTS Online Graduate Certificate in Artificial Intelligence Management prepares professionals to navigate the complexities of AI integration in business. This course provides the knowledge to lead AI-driven projects and strategies, ensuring ethical and effective implementation.
Upon completion, graduates can pursue roles such as:
- AI Project Manager
- Data and AI Strategy Analyst
- Technology Innovation Advisor
- Machine Learning Implementation Specialist
$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.
-
Jan
2025 -
Mar
2025 -
May
2025 -
Jun
2025 -
Aug
2025 -
Oct
2025
Meet our Course Director
"There is no doubt that technology is changing the way we live and work. The collective power of technology, people, cross-disciplinary approaches and performance can lead businesses to optimise and improve processes across the enterprise, leading to sustainable and measurable business growth.”
Valerie Gay is an Associate Professor in the Faculty of Engineering and IT; a researcher in mobile technologies, digital health and social innovation; and the director of the Master of Technology Management portfolio of courses. Valerie completed a Doctor of Science (Habilitation a Diriger des Recherches) and a PhD in Computing and Networking at Sorbonne University in Paris, France.
Dr Valerie Gay
Director, Master of Technology Management
Download a course guide
Download a course guide to explore detailed subject descriptions, entry requirements, pathway options and fee information.
“Knowing that I've got the research behind me through the Master's course is going to give me a lot more confidence when I step into a room where decisions need to be made.”
Joel G, UTS Online Student
“Participating in the course has given me more opportunities at my workplace and has led to me being offered a new role. I absolutely love the flexibility of learning online. Being able to join evening classes; really adaptable to my lifestyle”
Kim M, UTS Online Student
“The flexibility to be able to do it any time, anywhere, just made completing the Masters so much easier.”
Bianca N, UTS Online Student
“I'm really impressed by how the course was structured and the way that I could connect with my peers. I also really enjoyed the opportunity to connect what I was learning, all of the theory to my professional world.”
Sonia D, UTS Online Student
“To be able to connect with these industry experts and also so many different students from so many different industries really allowed you to get stuck in and just explore what else is out there.”
Lauren S, UTS Online Student
Frequently asked questions
The Graduate Certificate in Artificial Intelligence Management is designed for professionals from both tech and non-tech teams who have a basic understanding of modern technologies. Depending on your work experience and academic qualifications, this course offers a pathway to further postgraduate study, including master's programs.
Applicants with a minimum of five years' technology-relevant work experience may be granted recognition of prior learning (RPL) for 24 credit points (four subjects) and gain direct entry into the Executive Master of Technology Management. This course can be completed in as little as 16 months.
Throughout the Graduate Certificate in Artificial Intelligence Management, you’ll receive comprehensive support. This includes regular feedback from lecturers, engaging online discussions and interactive activities to ensure a smooth and rewarding learning experience.
Assignments in our subjects are authentic, relevant and often grounded in your personal clinical context. They vary according to the subject and include, but are not limited to clinical reports, posters, online quizzes and vivas (oral assessment), podcasts, recorded presentations, education tools, proposals, protocols and professional portfolios. You will not be required to complete exams or group assignments to graduate the Graduate Certificate in Artificial Intelligence Management.
When you enrol in the Graduate Certificate in Artificial Intelligence Management at UTS Online, you’ll benefit from an intuitive and engaging online platform. Key features include:
-
Resources for developing AI skills, including Python and machine learning
-
Flexible schedules tailored to working professionals
-
Tools for real-world applications in AI management and decision-making
-
Watch this video example showcasing the platform’s functionalities.
Here’s a video example showcasing key features of our online learning platform, including tools designed to enhance your study experience.
For practical tips on balancing your studies with work and life, click here to learn how to achieve your goals. Remember, our team is just an email or call away to support you every step of the way.
Related courses
Related Articles
How surveillance technology is changing our behaviour and our brains
January 25th, 2025 Explore how surveillance technology impacts human behaviour and cognition, from privacy concerns to societal implications.… Read More
