Why Study / Key Benefits

The Associate Degree of Applied Artificial Intelligence is a two-year higher-education qualification designed to develop practical AI skills for applications in cybersecurity, cloud technologies and gaming. Swinburne describes the course as focusing on generative AI, prompt engineering, AI model development and the practical use of AI to create value in products and secure systems.

Key benefits include:

• Practical development of artificial intelligence skills rather than purely theoretical study.
• Exposure to generative AI, prompt engineering and AI language models.
• Application of AI to cybersecurity, threat detection and secure systems.
• Application of AI to game design, visual effects, storytelling and immersive environments.
• Industry-immersed projects and a strong emphasis on ethical and responsible AI use.
• Opportunities to continue into related bachelor degrees after completing the associate degree.

Programme Structure and Subjects / Topics

The qualification contains 16 units and 200 credit points.

Core units – 100 credit points

Students complete the following core AI units:

• Machine Learning AI – COS10036
• Artificial Intelligence Fundamentals – COS10037
• AI Ethics and Copyright – COS10038
• AI Language Models – COS10041
• AI for Agile Innovative Projects – COS20032
• AI Client and Business Needs – COS20033
• AI for Cyber Security – COS20034
• Advanced Generative AI and Theoretical AI – COS20039.

These subjects cover foundational AI concepts, machine learning, AI language models, generative AI, cybersecurity applications, project development, business requirements and ethical/legal considerations.

Major: Cyber Security and Cloud Computing – 100 credit points

The major includes:

• AI for Data Security, Threat Detection and Incident Response – COS10039
• AI for Immersive Security Training Simulations – COS10040
• Recommendation AI – COS10042
• Prompt Engineering – COS10044
• Adaptive AI Security Models – COS20037
• AI Recommendation Engines – COS20041
• AI Driven Behavioural Biometrics for Authentication – COS20042
• Blockchain AI Cyber Security – COS20043.

The specialisation develops AI applications in cybersecurity, including threat detection, security simulation, behavioural biometrics, recommendation systems and blockchain-related security.

Major: Generative AI in Gaming VFX – 100 credit points

The major includes:

• Introduction to Game Design – COS10035
• Generative AI Integration in Gaming – COS10043
• Prompt Engineering – COS10044
• Working in Immersive AI Environments – COS10045
• AI Based VFZ for Gaming – COS20035
• AI for Augmented and Virtual Reality – COS20036
• AI Storytelling and Procedural Dialogue – COS20038
• AI Integrated Game Security – COS20040.

Disciplines / Specialisations

Students can choose between two current specialisation areas:

1. Cyber Security and Cloud Computing
2. Generative AI in Gaming VFX

Programme Highlights

• New two-year applied AI qualification.
• 200 credit points across 16 units.
• Eight AI core units plus eight major units.
• Specialisation options in cybersecurity/cloud computing or generative AI gaming VFX.
• Practical focus on generative AI and prompt engineering.
• AI applications in cybersecurity and threat detection.
• AI applications in game design, VFX and immersive technologies.
• Emphasis on ethical and responsible AI.
• Industry involvement and technology-focused curriculum.
• Industry partners associated with the programme include Amazon Web Services, Check Point and Microsoft; the wider applied AI programme development also involved Epic Games.

Career Outcomes

Swinburne identifies the following potential career opportunities:

• Game designer
• AI concept artist
• AI visual effects artist
• Machine learning engineer
• AI security analyst
• AI product manager
• AI security solutions manager, particularly for the Cyber Security and Cloud Computing specialisation.

Latest Updates / Special Requirements

• The course currently carries CRICOS code 119239M, allowing it to be considered as a registered course for international students subject to applicable enrolment and visa requirements.
• The programme is a relatively new Swinburne offering developed in response to demand for applied skills in AI, cybersecurity, cloud technologies and gaming.
• Swinburne's course page currently lists both Semester 1 and Semester 2 2027 starts at Hawthorn.
• International applicants should verify the final major availability for their selected intake because individual units and major offerings can change.
• Any certification or examination associated with an industry partner is subject to the relevant partner's requirements and availability. Swinburne notes that examinations and certifications may be attempted through industry partners where applicable.
• The course page currently provides a 2026 fee figure in its fee section, but the displayed amount is associated with the domestic/CSP presentation rather than a confirmed international tuition fee. Therefore, a confirmed 2027 international tuition fee is not publicly specified on the current official Swinburne course page.

International Student Visa Requirements

International students intending to study this programme in Australia generally require an Australian Student visa (subclass 500).

Core requirements

The Department of Home Affairs states that Student visa applicants must:

• Be enrolled in an eligible course and hold a valid Confirmation of Enrolment (CoE).
• Hold appropriate Overseas Student Health Cover (OSHC), unless exempt.
• Meet the Genuine Student requirement.
• Meet applicable health and character requirements.
• Provide welfare arrangements if under 18.
• Provide financial evidence where the Department's Document Checklist requires it.