Key facts
Duration
Locations
Key dates
Direct applications to Deakin for Trimester 1 2025 close 16 February 2025
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Course overview
Artificial intelligence (AI) is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in AI, which is creating a large demand for skilled professionals around the world.
Deakin’s Graduate Certificate of Artificial Intelligence equips IT professionals with foundational AI knowledge and the skills necessary to design and develop advanced AI-driven solutions for real-world challenges.
Want the skills to build intelligent machines and software solutions that power our future?
You will gain hands-on experience in the development of software solutions and the use and development of AI. Our world-leading research in AI feeds directly into our classrooms, meaning that you will be learning at the cutting-edge of industry expectations and capabilities.
As a graduate you will have a thorough understanding of the design, development and operation of AI-driven software solutions.
Read MoreCourse information
- Award granted
- Graduate Certificate of Artificial Intelligence
- Year
2025 course information
- Deakin code
- S536
- 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
Course structure
To complete the Graduate Certificate of Artificial Intelligence, students must pass 4 credit points which must include the following:
- DAI001 Academic Integrity and Respect at Deakin (0-credit point compulsory unit)
- 2 core units
- 2 course elective units
Students are required to meet the University's academic progress and conduct requirements.
2
Core units
2
Course elective unit
4
Total
Core
Plus 2 units (2 credit points) from the following course elective units:
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:
- Waurn Ponds (Geelong)
- Online
Trimester 2 - July
- Start date: July
- Available at:
- Waurn Ponds (Geelong)
- Online
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin online programs.
Course duration
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.
Mandatory student checks
Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.
Workload
You can expect to participate in a range of teaching activities each week, with units requiring on average 150 hours of study per credit point. This could include lectures, seminars, practicals, studios and online interaction. You can refer to the individual unit details in the course structure for more information. In additional to scheduled activities, you will need to study and complete assessment tasks in your own time.
Participation requirements
Elective units may be selected that include compulsory placements, work-based training, community-based learning and collaborative research training arrangements.
Entry requirements
Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements or higher to be considered for selection, but this does not guarantee admission.
A combination of qualifications and experience may be deemed equivalent to minimum academic requirements.
Academic requirements
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 in a related* discipline
- completion of a bachelor degree or higher in any discipline and at least two years' relevant* work experience (or part-time equivalent).
*Related to the broad field of Information Technology.
English language proficiency requirements
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:
- bachelor degree from a recognised English-speaking country
- IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent
- other evidence of English language proficiency (learn more about other ways to satisfy the requirements)
Admissions information
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're able to commit to your study.
Recognition of prior learning
Deakin aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations.
Students are required to complete a minimum of one-third of the course with Deakin, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed with Deakin.
You can also refer to the Recognition of prior learning Page which outlines the credit that may be granted towards a Deakin degree and how to apply for credit.
Recognition of prior learning may be granted to applicants based on prior studies and/or equivalent industry experience.
Fees and scholarships
Fee information
The available fee places for this course are detailed above. Not all courses at Deakin have Commonwealth supported places available.
The 'Estimated tuition fee' is provided as a guide only and represents the typical tuition fees for students completing this course within the same year 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. The 'Estimated tuition fee' is calculated by adding together four credit points of a typical combination of units for your course.
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 fees and available payment options.
Scholarship options
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.
Postgraduate bursary
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.
Apply now
To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.
For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.
Pathways
Upon completion of the Graduate Certificate of Artificial Intelligence you could use the credit points you’ve earned to enter into further study, including:
Contact information
Our friendly advisers are available to speak to you one-on-one about your study options, support services and how we can help you further your career.
- Call us: 1800 693 888 Monday – Friday, 9am–5pm
- Live Chat: Monday - Friday
- Submit an online enquiry
- Help hub find common and trending questions and answers
Careers
Career outcomes
Graduates of the Graduate Certificate of Applied Artificial Intelligence will be able to engage effectively with specialists in the area of artificial intelligence.
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.
| Deakin Graduate Learning Outcomes | Course Learning Outcomes |
|---|---|
| Discipline-specific knowledge and capabilities | Develop a broad knowledge of the technologies of artificial intelligence. |
| Communication | Communicate in a professional context to inform, explain and drive sustainable innovation through artificial intelligence and to motivate and effect change, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.
|
| Digital literacy | Identify, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources.
|
| Critical thinking | Evaluate and critically analyse information provided and their sources to inform decision making and evaluation of plans and solutions associated with the field of artificial intelligence.
|
| Problem solving | Apply advanced cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate solutions to real-world and ill-defined computing problems.
|