Key facts

Duration

1 year part-time

Locations

Course overview

Develop the knowledge and skills to introduce AI thinking into a business organisation with Deakin, a top 3 university in Victoria for artificial intelligence. As artificial intelligence reshapes the way organisations work, compete and make decisions you will learn to formulate ethically responsible, AI-driven business strategies and apply existing commercial AI software. Learn about industry best practice in the application of different AI technologies and types, along with practical techniques in machine learning to support data-based business decision making.

This course also provides a pathway to Deakin Business School coursework master’s degrees so you can continue developing your expertise. You will graduate ready to help organisations design, adopt and manage AI-enabled solutions that create real business value.

Key dates

Direct applications to Deakin for Trimester 1 2027 close 7 February 2027

Current Deakin students

To access your official course details for the year you started your degree, please visit the handbook

Award granted
Graduate Certificate of Artificial Intelligence for Business
Year

2027 course information

Deakin code
M553
Level
Postgraduate (Graduate Certificate and Graduate Diploma)
Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

Flexible course delivery

Deakin’s blend of online and on-campus learning means you can balance work, study and personal development. Achieve work-life balance – study with Deakin's dedicated support and flexible learning options.

Course structure

To complete the Graduate Certificate of Artificial Intelligence for Business you must pass 4 credit points. This includes:

Most units are equal to one credit point.

Students are required to meet the University's academic progress and conduct requirements.

People Analytics
Responsible Artificial Intelligence
Artificial Intelligence Strategies and Enterprise Applications
Machine Learning in Business

Intakes by location

The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

  • Start date: March
  • Available at:
    • Burwood (Melbourne)
    • Online
  • Start date: July
  • Available at:
    • Burwood (Melbourne)
    • Online

This course is available as part-time study only.

It is not available to international students studying onshore in Australia.

Course duration

Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.

Workload

You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, online interactions, or professional experiences for Work Integrated Learning (WIL) units. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Work experience

This course does not require students to undertake formal work integrated learning units.

Inclusive learning support

At Deakin, we're committed to ensuring an inclusive environment that supports all students to belong, thrive and succeed. We work closely with students, where needed, to identify potential barriers to participation and where possible, provide tailored support so students can engage with learning and assessment activities.

If you are neurodivergent, have a disability, health condition or mental health condition that may impact your study or participation in university life, and want to know how Deakin could support you, contact our Domestic students (opens in a new window) or International students (opens in a new window) or Disability Resource Centre (opens email client) teams for a collaborative and confidential discussion. This discussion is to support you to make plans for your studies and future career and will not have any bearing on your application to the course.

Entry requirements

Your academic history, work and life experience, and individual circumstances will be considered. Meeting the minimum academic and English language requirements does not guarantee admission, but alternative pathways may be available.

To be considered for admission to this degree you will need to meet at least one of the following criteria:

  • completion of a bachelor degree or higher
  • at least two years’ relevant work experience (or part-time equivalent)

Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.

Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.

Recognition of prior learning

We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.

Fees and scholarships

Fee information

Estimated tuition fee - (CSP) ?Commonwealth Supported Places are subsidised by the Australian Government. The estimated tuition fee shown is the student contribution amount.

$5,958 - Commonwealth Supported Place (CSP)

The estimated tuition (student contribution) fee above is based on a typical enrolment of 4 credit points undertaken within the same academic year and is provided as a guide only. Your student contribution is determined by the units you enrol in and will vary depending on the units you choose, your study load, the course duration, and any approved recognition of prior learning. You may also be eligible for a HECS-HELP loan to defer payment of all or part of your student contribution.

Check your eligibility or learn more about CSP or HECS-HELP.

Scholarship options

We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you’ll have more freedom to focus on what matters most – your education and future success.

Find the right scholarship for your goals

Deakin alumni discount

We love welcoming Deakin alumni back to continue their journey with us. If you're starting a postgraduate award course, you may be eligible for a 10% discount on your enrolment fees, applied per unit. It's our way of supporting your next step.

Learn more about the 10% Deakin alumni discount

Apply now

Apply direct

Simply create an account in the Deakin Application Portal, enter your personal and educational details, upload your supporting documents and submit your application.

APPLY THROUGH DEAKIN

Pathways

This course acts as a pathway to any Deakin Business School Coursework masters degree that has provision for a minimum of 4 credit points of electives or for a faculty-wide specialisation to be taken as part of its structure.

Further study options

This course acts as a pathway to any Deakin Business School Coursework Masters degree that has provision for a minimum of four credit points of electives or for a Faculty-wide specialisation to be taken as part of its structure.

Career outcomes

This course provides you with the skills and knowledge to use and evaluate AI systems to complement your existing business career in job markets including:

Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.

Course Learning Outcomes
Apply broad and integrated knowledge of artificial intelligence concepts and existing software, to research, identify and justify responsible solutions for organisation and social contexts.
Communicate complex considerations in oral and written form on the use and impact of existing artificial intelligence software to non-specialist audiences in organisation and social contexts.
Use machine learning techniques and models to find and apply information that solve challenging business problems.
Analyse and evaluate competing academic, professional and/or stakeholder issues when analysing complex organisation and social contexts where existing artificial intelligence software is being considered.
Identify and define organisational problems, formulate, evaluate alternatives, and recommend suitable artificial intelligence solutions based on organisational and societal needs.

*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.

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