Direct applications to Deakin for Trimester 2 2023 close 25 June 2023
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
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 provides IT professionals with foundational knowledge of AI and the skills necessary to design and develop advanced AI-driven solutions to solve challenging, real-world problems.
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 More
- Award granted
- Graduate Certificate of Artificial Intelligence
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, students must attain 4 credit points (part-time over 1 year), which must include the following:
- Two (2) core units
- One course elective unit
- One (1) Level 7 SIT elective unit (1 credit point -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.
Plus one unit (one credit point) from the following course elective units:
Plus one level 7 SIT elective unit (one credit point)
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)
Trimester 2 - July
- Start date: July
- Available at:
- Waurn Ponds (Geelong)
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.
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.
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- Bachelor degree in related discipline,OR
- Bachelor degree in any discipline AND two years relevant work experience, OR
- Graduate Certificate of Information Technology or equivalent, 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
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
Learn more about fees and your options for paying.
Learn more about fees.
The available fee places for this course are detailed above.
Tuition fees are determined by your enrolment:
- If you are offered a full fee paying place, your tuition fees are calculated based on your course.
- If you are offered a Commonwealth supported place, your tuition fees are calculated depending on the units you choose. A limited number of Commonwealth supported places are available for this course.
The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year. 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.
One year full-time study load is typically represented by four credit points of study for Graduate Certificates. 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.
What is FEE-HELP?
FEE-HELP loans cover up to 100% of tuition fees for eligible students. By taking out a FEE-HELP loan, the government pays your tuition fees directly to Deakin, and the balance is repaid from your employment income - but only once you're earning over $48,361.
Please note: fees shown by the calculator are indicative only and based on 2023 rates. Actual fees may vary. We advise confirming fees with Prospective Student Enquiries prior to enrolment.
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- $* is the estimated full cost for a Graduate Certificate of Artificial Intelligence (4 credit points), based on the 2023 fees.
- is the annual FEE-HELP payment, based on your current salary
- of your current salary be spent on FEE-HELP
Deakin University (Deakin):
- gives no warranty and accepts no responsibility for the currency, accuracy or the completeness of the information provided;
- advises users that no reliance should be placed upon on the information provided, and;
- instructs users that they should confirm the actual course fee with Prospective Student Enquiries prior to enrolment.
This tool provides indicative information about the fees that will be payable in respect of courses and subjects offered to prospective students domiciled in Australia during the periods indicated.
Please note that the fees shown by the calculator are indicative only and actual fees may vary. Users are advised to confirm the actual course fee with Prospective Student Enquiries prior to enrolment.
The estimated course fee is based on the tuition fee costs applicable to a domestic full time student commencing the course in Trimester 1 and studying full time for the duration of the course but:
- does not include non-tuition costs that may apply, such as Student Services and Amenities Fees (SSAF);
- does not take into account any scholarships or bursaries awarded to the student (including the 10% Deakin alumni discount);
- assumes the maximum number of units that need to be successfully completed actual number completed may be reduced if recognition of prior learning is granted;
- assumes that no exceptional, or non-typical, circumstances apply to the proposed course of study;
- assumes that the options that the user selects are appropriate for the course of study that they intend to undertake;
- where fees are estimated for future years those fee will be subject to annual increases in accordance with increases in the cost of course delivery.
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 the Deakin Application Portal. 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.
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.
Upon completion of the Graduate Certificate of Artificial Intelligence you could use the credit points you’ve earned to enter into further study, including:
Master of Applied Artificial Intelligence
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 Mon–Fri, 9am–5pm
- Live Chat: Mon–Thurs, 8am–7pm, Fri 8am–5pm
- Submit an online enquiry
- Help hub find common and trending questions and answers
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