Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Artificial intelligence is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in artificial intelligence, which is creating a large demand for skilled professionals.
Deakin’s suite of courses in Applied Artificial Intelligence will equip you with specialist knowledge and skills necessary to design and develop advanced solutions using artificial intelligence. The Graduate Certificate of Applied Artificial Intelligence provides IT professionals with foundational knowledge of artificial intelligence.
This course gives you the essential skills and knowledge to engage with artificial intelligence across a range of industries and prepares you for further studies in artificial intelligence.
You will gain hands-on experience in the use and development of artificial intelligence and its mathematical foundation. Our world-leading research in artificial intelligence feed directly into our classrooms, meaning that you’ll be learning at the cutting edge of industry expectations and capabilities.
As a graduate you will be familiar with the underpinnings of artificial intelligence and machine learning.
Units in the course may include assessment hurdle requirements.Read More
To complete the Graduate Certificate of Artificial Intelligence, students must attain 4 credit points (part-time over 1 year) as detailed below.
The course comprises a total of 4 credit points, which must include the following:
- 3 credit points of core units
- 1 credit point Level 7 SIT elective unit (excluding SIT771, SIT772, SIT773 and SIT774)
- completion of STP050 Academic Integrity (0-credit point compulsory unit)
Students are required to meet the University's academic progress and conduct requirements. Click here for more information.
2020 course information
This course is approved by the University under the Higher Education Standards Framework.
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.
Campuses by intake
Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.
Trimester 1 - March
- Start date: March
- Available at:
- Cloud Campus
Trimester 2 - July
- Start date: July
- Available at:
- Cloud Campus
New course commencing Trimester 1 2020
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin’s Cloud Campus.
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. Refer to the relevant unit guide.
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 classes, 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.
Elective units may be selected that include compulsory placements, work-based training, community-based learning and collaborative research training arrangements.
You will have an opportunity to undertake a discipline-specific internship placement as part of your course. deakin.edu.au/sebe/wil.
Ask a question about studying at Deakin
Deakin University offers admission to postgraduate courses through a number of Admission categories. To be eligible for admission to this program, applicants must meet the course requirements.
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
- Bachelor degree in related discipline OR
- Bachelor degree (any) plus two years relevant work experience OR
- Graduate Certificate of Information Technology or equivalent
Recognition of prior learning
The University 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 at Deakin University, 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 at Deakin.
You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Fees and charges vary depending on your course, your fee category and the year you started. To find out about the fees and charges that apply to you, visit www.deakin.edu.au/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 15% reduction per unit on your enrolment fees. Your Immediate Family Members may also be eligible to apply for this bursary.
How to apply
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. Please note that closing dates may vary for individual courses.
Upon completion of the Graduate Certificate of Artificial Intelligence you could use the credit points you’ve earned to enter into further study, including:
Why choose Deakin
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.
Prepare a range of technical and user-oriented documentation using adequate structure, terminology.
Identify, select and use a range of digital technologies and tools to generate, manage and share digital resources associated with advanced artificial intelligence concepts and solutions.
In assessing complex artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems and proposals to identify basic statements.
In assessing complex artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected.In assessing complex artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid.
Apply technical skills, knowledge and techniques to identify and define complex problems utilising advanced artificial intelligence.
Apply expert, specialised technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design novel artificial intelligence solutions.
Approved by Faculty Board 27 June 2019