Transform the future of work with a Graduate Certificate in Artificial Intelligence from Victoria University.
In the coming decade, Artificial Intelligence (AI) will drive digital transformation of almost all industry sectors. Its impact on our daily life is increasing rapidly. Many companies and government departments are looking to increase AI expertise within their workforce, but the skills shortage has become a global challenge.
Our Graduate Certificate in Artificial Intelligence provides you with a solid foundation of AI technologies and skills for application development, including:
- modern programming skills
- data mining
- data analytics
- neural network
- deep learning
- natural language processing.
By the time you complete the course, you will be able to:
- critically review AI applications and state-of-the-art development
- disaggregate and appraise key components in typical AI application architectures
- design and implement AI applications in a systematic approach
- extrapolate knowledge and skills of AI to support or provide planetary health solutions.
World-class academics who are active in advanced AI research will provide you with examples of modern AI technologies and show you how they can be applied to provide innovative solutions to real world problems. Guest lecturers from the AI industry will also discuss their experiences of the latest developments and applications of AI in industry.
This course is delivered in eight-week mode, which means you study two units (subjects) at a time over eight weeks (or one unit at a time over eight weeks for part-time study), rather than juggling several units at once. And with its focused timetables and smaller, collaborative classes, VU’s Block Model gives you more time to connect with your peers, lecturers and industry partners, helping you to build strong professional networks.
The VU Block Model has improved our student results and engagement, and has won multiple international awards for innovation and excellence.
VU's Learning Hubs are welcoming spaces where you can improve your study and employability skills.
We offer maths, writing, careers and English-language advice, and show you effective ways to study and manage your time.
Our programs include:
- drop-in sessions
- peer mentoring
- maths and writing resources
- resume and career guidance.
Careers in Artificial Intelligence
Graduates from the Graduate Certificate of Artificial Intelligence may be employed in the following roles:
- Software Engineer for AI
- AI Specialist
- AI Consultant
- Data Scientist.
To attain the Graduate Certificate in Artificial Intelligence students will be required to complete:
- 48 credit points of core units
On successful completion of this course, students will be able to:
|1.||Critically review AI applications and state of art development;|
|2.||Disaggregate and appraise key components in typical AI application architectures;|
|3.||Design and implement AI applications in a systematic approach; and|
|4.||Extrapolate knowledge and skills of AI to support or provide planetary health solutions.|
What's a unit?
A unit or 'subject' is the actual class you'll attend in the process of completing a course.
Most courses have a mixture of compulsory 'core' units that you need to take and optional elective units that you can choose to take based on your area of interest, expertise or experience.
Each unit is worth a set amount of study credits based on the amount of time you study. Generally, 1 credit is equal to 1 hour of study per week.
Fees & scholarships
Fee type for this course: Commonwealth Supported Place (CSP)
Fee type definitions
The amount you pay for your course depends on whether you’re offered a Commonwealth supported place (CSP) or a full fee-paying place.
Students who enrol in a:
- Commonwealth supported place pay tuition fees that are partly subsidised by the Australian government
- full fee-paying place need to pay the full amount for all enrolled units before census each study period.
In addition to your tuition fees, you may also be charged a Student Services & Amenities Fee (SSAF).
Scholarships & assistance
Apply for a scholarship to help with your study costs.
We can help with fee assistance and advice.
Admission & pathways
Meeting the minimum admission requirements does not guarantee you entry into this course. Some courses receive more applications than the number of places available. In this situation we will also assess your education, work and other relevant experience.
Completion of an Australian Bachelor degree (or equivalent) in a similar discipline.
Applicants with a minimum five (5) years approved work experience will be considered for admission to this course.
Use our credit calculator to find out how much credit you could get towards your course, based on your previous study.
If you have completed study with another university or institution and believe you are eligible to receive credit for skills and past study, you can apply for advanced standing.
Applications for advanced standing can be made after a discussion with your course chair or academic adviser.
How to apply
Available start dates:
- 1 August 2022
Before you apply
Before applying, you should consider whether you also want to apply for:
- Special admission programs: Depending on your life circumstances you may be eligible for special consideration of your application.
- Advanced standing: If you have significant experience or studies elsewhere you may be eligible for credit for some units of your course and not have to undertake them.
Find out more about applying for our courses.
Apply direct to VU
Direct applications are due on 24 July 2022 for our next intake which starts on 1 August 2022.
Already a VU student?
If you are already a VU student, apply direct to VU using our Admissions centre to transfer into this course. Remember it’s best to be accepted into your new course before withdrawing from your current one.
After you apply
- It’s important to check for emails from us (which may go to your spam/junk folder).
- Complete any requests for information by the given dates, otherwise your application may not be considered