Technology
Graduate Certificate in Artificial Intelligence and Machine Learning
- Domestic
- International
About Degree
Pursue an intelligent career
Artificial intelligence and machine learning make life easier, in all its aspects: healthcare, defence, entertainment, agriculture. Artificial intelligence and machine learning now present the world’s single greatest commercial opportunity. Research indicates that by 2030 it could increase global GDP by up to 14%—a staggering US$15.7 trillion gain. Locally, hundreds of millions are invested towards industry-wide transformation, promoting significant job market growth.
The Graduate Certificate in Artificial Intelligence and Machine Learning, conducted through the University of APSB’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you for an exciting career in this pivotal field.
What will you do?
Comprising a carefully balanced mix of face-to-face intensive courses and online study, this degree will equip you with:
- a suite of technical skills in machine learning and AI application development, including in specialist areas, such as deep learning and visual question answering
- broad awareness of the commercial, organisational and research opportunities presented by machine learning and AI
- an introductory understanding of the disciplines’ ethical and social considerations.
- the necessary foundation of skills and understanding to embark on work or further study in artificial intelligence or machine learning
You’ll also receive mentoring, feedback and direction from AIML’s world-class researchers and high-performing industry professionals.
How will you study?
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section.
Where could it take you?
You might develop a solution that constantly monitors a business’s key relationships and predicts how and when to upsell them. Perhaps you’ll help not-for-profits maximise donations through advanced AI modelling of website traffic.
Successful completion of the graduate certificate enables you to gain credit towards our Graduate Diploma and Master in Artificial Intelligence and Machine Learning.
Entry Requirements
Choose your applicant type to view the relevant admissions information for this program.I am a:
- Domestic
- International
Domestic applicants
| SATAC Code | 3GC114, 3GC121 |
|---|---|
| Deferment | Yes - 2 year |
| Intake | January, May and September |
| Prerequisites | SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods. |
Selection Criteria
| Higher Education Study | A Bachelor's degree or equivalent with a minimum GPA of 4.5 OR relevant work experience of at least 3 years in Machine Learning/Artificial Intelligence or cognate roles OR Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning/Artificial Intelligence or cognate roles. |
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Student Profile
| Applicant background | Semester one/Full year intake 2022 | |
|---|---|---|
| Number of students | Percentage of all students | |
| International students | 1 | 25.0% |
| All students | 4 | 100.0% |
- Relevant work experience of at least 3 years in Machine Learning / AI or cognate roles; or
- Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning / AI or cognate roles.
International applicants
| CRICOS | 107541D |
|---|---|
| Intake | January, May and September |
| Australian Year 12 | SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods. |
| International Qualifications | Mathematics |
Selection Criteria
English Language Requirements
| Australian Year 12 | Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject | ||||||||||||
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| English Tests accepted by the University of APSB |
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| Qualifications that meet minimum English requirements | A range of alternative qualifications may meet the University’s minimum English requirements | ||||||||||||
Academic Entry Requirements
Detailed information on international qualifications assessment
| Tertiary Qualifications | Bachelor degree or equivalent; or | |
|---|---|---|
How to Apply
Student Profile
| Applicant background | Semester one/Full year intake 2022 | |
|---|---|---|
| Number of students | Percentage of all students | |
| International students | 1 | 25.0% |
| All students | 4 | 100.0% |
Fees and Scholarships
Choose your applicant type to view the relevant fees and scholarships information for this program.I am a:
- Domestic
- International
Domestic applicants
| Indicative annual tuition fees | Australian Full-fee place: $20,500 |
Where the standard duration of the program is less than one year the full cost of the program is displayed.
A limited number of Commonwealth-Supported Places are available for students commencing studies in this program in Trimester 2 and 3, 2023.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
International applicants
| Indicative annual tuition fees (24 units) | International student place: $24,250 |
Where the standard duration of the program is less than one year the full cost of the program is displayed.
More information on International Student tuition fees.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Careers
Potential careers
Computational Scientist, Computer Programmer, Computer Scientist, Diagnostic Technician, Digital Strategist, Software Specialist, IT Manager, IT Programmer
Degree Structure
The Graduate Certificate in Artificial Intelligence and Machine Learning is ideal for students who have a background/qualifications in any professional field and are looking to upskill in this exciting, high-demand area. The curriculum has been designed to include all of the necessary computer science foundations for students to succeed. Students with relevant qualifications or experience can apply for advanced standing*.
To qualify for the degree of Graduate Certificate in Artificial Intelligence and Machine Learning, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 12 units comprising:
Two core courses to the value of 6 units
Two elective courses** to the value of 6 units
*For further information, please contact one of our friendly program advisors.
**Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Study mode
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you.
- Accelerated mode – 12 units (4 courses) per trimester
- Standard full-time mode – 24 units (8 courses) per year
- Part-time mode – 3 or 6 units (1 or 2 courses) per trimester
Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments—without compromising on authentic and immersive learning experiences.
*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information.
Example Study Plan
| Core course (6 units total) Students must complete all of the following |
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| Electives (6 units total) Students must choose two* of the following courses |
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