English language requirements
6.5/6 - Overall 6.5, no band less than 6.0
1 year part-time
The business landscape is changing rapidly with the advancement of Artificial Intelligence (AI). Cognitive automation, business process automation, robotics, (augmented) virtual reality, machine learning, and big data analytics are fast becoming highly sought-after areas of expertise. There's an increasing push for business professionals to improve digital skills relating to AI, sharpen soft skills and invest in transferable skills to meet the growing demand in the market for AI solutions to business problems.
This course provides you with the knowledge and skills to introduce AI thinking into a business organisation. You'll learn to formulate ethically responsible AI-driven business strategies, and use existing commercial AI software in contexts including marketing, supply chain management and finance. You'll also gain the opportunity to explore challenges and pitfalls of using existing commercial AI software in business contexts.
The course comprises 4 credit points of study. Course duration is 1 year part-time equivalent.Read More
- Award granted
- Graduate Certificate of Artificial Intelligence for Business
2023 course information
- Deakin code
- Postgraduate (Graduate Certificate and Graduate Diploma)
- Approval status
This course is approved by the University under the Higher Education Standards Framework.
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.
To complete the Graduate Certificate of Artificial Intelligence for Business, students must attain a total of 4 credit points of core units and completion of the compulsory 0-credit point module, MAI010 Academic Integrity Module.
Most units (think of units as 'subjects') are equal to 1 credit point.
Compulsory 0-credit point module
To be completed in the first trimester of study:-
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.
Trimester 1* - March
- Start date: March
- Available at:
*Part-time study only in Trimester 1
Trimester 2* - July
- Start date: July
- Available at:
*Part-time study only in Trimester 2
This course is not available to international students studying onshore in Australia.
Trimester 1 and Trimester 2 is part-time study only.
There is an expectation that the students will undertake at least 150 hours of learning and assessment activities per Deakin credit point.
This course does not require students to undertake formal work integrated learning units.
Minimum admission requirements:
- Bachelor degree or higher, OR
- two years of relevant work experience, OR
- evidence of academic capability judged to be equivalent
Deakin University offers admission to postgraduate courses through a number of Admission categories.
All applicants must meet the minimum English language requirements.
Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.
For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library.
Recognition of prior learning
If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of Prior Learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of Prior Learning.
Your Recognition of Prior Learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.
You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree.
Fees and scholarships
The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year in which they started. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of Prior Learning you have.
The 'Estimated tuition fee' is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a Graduate Certificate.
Each unit you enrol in has a credit point value. You can find the credit point value of each unit under the Unit Description by searching for the unit in the Handbook.
Learn more about tuition fees.
A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.
If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.
Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page.
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.
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.
This course provides students with the skills and knowledge to succeed as business professionals, in their jobs in the future, which increasingly are being transformed by artificial intelligence. All business professionals need skills and knowledge in using and evaluating artificial intelligence software to augment their work in job markets ranging from marketing, accounting, finance, supply chain management and other fields.
Course learning outcomes
Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.
|Graduate Learning Outcome||Course Learning Outcome|
|Discipline specific knowledge and capabilities|| |
Apply broad and integrated knowledge of artificial intelligence concepts and existing software, to research, identify and justify responsible solutions for organisation and social contexts.
|Communication||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.|
|Digital literacy|| |
Use machine learning techniques and models to find and apply information that solve challenging business problems.
|Critical thinking||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.|
|Problem solving|| |
Identify and define organisational problems, formulate, evaluate alternatives, and recommend suitable artificial intelligence solutions based on organisational and societal needs.
|Self-management||Not explicitly addressed as a learning outcome in this award|
|Teamwork||Not explicitly addressed as a learning outcome in this award|
|Global citizenship|| |
Not explicitly addressed as a learning outcome in this award