Graduate Certificate of Artificial Intelligence
2024 Deakin University Handbook
Year | 2025 course information |
---|---|
Award granted | Graduate Certificate of Artificial Intelligence |
Government subsidised short course | In 2021, the Australian Government's Job-ready Graduates package is providing a limited number of Commonwealth Supported Places (CSPs) in this course. |
Deakin course code | S536J |
Faculty | Faculty of Science, Engineering and Built Environment |
Campus | For students who commenced prior to 2022 |
Duration | 0.5 year full-time or part-time equivalent |
Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8 |
The final intake to this course version was in 2021. Students should contact a Student Adviser in Student Central for course and enrolment information. Further course structure information can be found in the handbook archive. |
Course sub-headings
- Course overview
- Indicative student workload
- Career opportunities
- Participation requirements
- Mandatory student checks
- Pathways
- Course Learning Outcomes
- Course rules
- Course structure
- Work experience
- Fees and charges
Course overview
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 around the globe.
Deakin’s Graduate Certificate of Applied Artificial Intelligence provides IT professionals with foundational knowledge of artificial intelligence and the skills necessary to design and develop advanced solutions using artificial intelligence.
You will gain hands-on experience in the development of software solutions and the use and development of artificial intelligence. Our world-leading research in artificial intelligence feed 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 software solutions involving artificial intelligence.
Indicative student 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 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.
Career opportunities
Graduates of the Graduate Certificate of Applied Artificial Intelligence will be able to engage effectively with specialists in the area of artificial intelligence.
Participation requirements
Elective units may be selected that include compulsory placements, work-based training, community-based learning and collaborative research training arrangements.
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.
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:
Master of Applied Artificial Intelligence
Master of Applied Artificial Intelligence (Professional)
Course Learning Outcomes
Deakin Graduate Learning Outcomes | Course Learning Outcomes |
---|---|
Discipline-specific knowledge and capabilities | Develop a broad knowledge of the technologies of artificial intelligence. |
Communication | Prepare a range of technical and user-oriented documentation using adequate structure, terminology. |
Digital literacy | 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. |
Critical thinking | 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. |
Problem solving | 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
Course rules
To complete the Graduate Certificate of Artificial Intelligence students must pass 4 credit points part-time over 1 year)and meet the following course rules to be eligible to graduate.
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
- Completion of STP050* Academic Integrity (0-credit-point compulsory unit)
- Three (3) core units (3 credit points)
- One (1) credit point Level 7 SIT elective unit (excluding SIT771, SIT772, SIT773 and SIT774)
Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University’s vocabulary.
* DAI001 Academic Integrity and Respect at Deakin replaces STP050 Academic Integrity from 2025.
Course structure
Core
STP050 Academic Integrity (0 credit points) [No longer available for enrolment from 2024, alternate unit DAI001]
SIT720 | Machine Learning |
SIT787 | Mathematics for Artificial Intelligence |
SIT719 | Analytics for Security and Privacy |
Plus one level 7 SIT elective unit (one credit point)
Work experience
You will have an opportunity to undertake a discipline-specific internship placement as part of your course. Explore the SEBE WIL program.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
Fees and charges
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, and their study discipline or your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.