Associate Degree of Applied Artificial Intelligence
Course handbook
General Information
Overview
The Associate Degree of Applied Artificial Intelligence equips you with the knowledge to apply artificial intelligence within cyber security or game development industries.
Gain insight and knowledge into generative AI, prompt engineering and how to apply the outputs to generate value in products or within the maintenance of secure systems.
With industry immersed projects, you will be equipped with practical skills, knowledge and a strong sense of ethical usage of AI within industries, preparing you to become experts in your field.
Study structure
The Associate Degree in Applied Technologies consists of 16 units of study (200 credit points). Units normally carry 12.5 credit points.
Full-time study: 100 credit points/eight standard units of study per year
Part-time study: 50 credit points/four standard units of study per year
One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)
See the course planner for an example degree structure.
Full-time study: 100 credit points/eight standard units of study per year
One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)
See the course planner for an example degree structure.
| Units of study | Unit code |
|---|---|
| Core units | |
|
Machine Learning AI
Core unit , 12.5 credit points |
COS10036 |
|
Artificial Intelligence Fundamentals
Core unit , 12.5 credit points |
COS10037 |
|
AI Ethics and Copyright
Core unit , 12.49 credit points |
COS10038 |
|
AI Language Models
Core unit , 12.5 credit points |
COS10041 |
|
AI for Agile Innovative Projects
Core unit , 12.5 credit points |
COS20032 |
|
AI Client and Business Needs
Core unit , 12.5 credit points |
COS20033 |
|
AI for Cyber Security
Core unit , 12.5 credit points |
COS20034 |
|
Advanced Generative AI and Theoretical AI
Core unit , 12.5 credit points |
COS20039 |
| Units of study | Unit code |
|---|---|
|
AI for Data Security, Threat Detection and Incident Response
Major unit, 12.5 credit points |
COS10039 |
|
AI for Immersive Security Training Simulations
Major unit, 12.49 credit points |
COS10040 |
|
Recommendation AI
Major unit, 12.5 credit points |
COS10042 |
|
Prompt Engineering
Major unit, 12.5 credit points |
COS10044 |
|
Adaptive AI Security Models
Major unit, 12.5 credit points |
COS20037 |
|
AI Recommendation Engines
Major unit, 12.5 credit points |
COS20041 |
|
AI Driven Behavioural Biometrics for Authentication
Major unit, 12.5 credit points |
COS20042 |
|
Blockchain AI Cyber Security
Major unit, 12.5 credit points |
COS20043 |
| Units of study | Unit code |
|---|---|
|
Introduction to Game Design
Major unit, 12.5 credit points |
COS10035 |
|
Generative AI Integration in Gaming
Major unit, 12.5 credit points |
COS10043 |
|
Prompt Engineering
Major unit, 12.5 credit points |
COS10044 |
|
Working in Immersive AI Environments
Major unit, 12.5 credit points |
COS10045 |
|
AI Based VFZ for Gaming
Major unit, 12.5 credit points |
COS20035 |
|
AI for Augmented and Virtual Reality
Major unit, 12.5 credit points |
COS20036 |
|
AI Storytelling and Procedural Dialogue
Major unit, 12.5 credit points |
COS20038 |
|
AI Integrated Game Security
Major unit, 12.5 credit points |
COS20040 |
Learning outcomes
Upon successfully completing the Associate Degree of Applied Artificial Intelligence, students will be able to:
- apply foundational knowledge of artificial intelligence and digital technologies to address practical challenges across diverse industry settings
- evalute and implement appropriate tools, techniques and processes to support the design and development of AI-enabled and digital technology solutions
- apply ethical and culturally responsive practices in the use of artificial intelligence and digital technologies with consideration for sustainability and the perspectives of Indigenous, local and global communities
- work collaboratively in team-based environments to contribute to the creation of artificial intelligence and digital technology-based products or prototypes
- reflect on personal learning and performance to support ongoing professional growth and lifelong learning.
Course rules
To qualify for the award of the Associate Degree in Applied Artificial Intelligence students must successfully complete 200 credit points comprising:
- eight [8] core units of study (100 credit points)
- eight [8] units of study from Cyber Security and Cloud Computing or Generative AI in Gaming VFX specialisation (100 credit points).
Career opportunities
Graduates of this course may be employed in roles such as:
- machine learning engineer
- AI security analyst
- AI product manager
- game designer
- AI concept artist
- AI visual effects artist.
Volume of learning
The Associate Degree of Applied Artificial Intelligence consists of sixteen [16] units of study (200 credit points). Units normally carry 12.5 credit points. A standard annual full-time load comprises 100 credit points and a part-time load comprises 50 credit points.
The volume of learning of the Associate Degree in Applied Artificial Intelligence is typically 2 years.
Maximum academic credit
The maximum level of credit that can be granted for Associate Degree of Applied Artificial Intelligence is 100 credit points (normally eight units).
Admission criteria
Information about Swinburne's general admission criteria can be found at Admissions at Swinburne - Higher Education webpage.
Interested in the Associate Degree of Applied Artificial Intelligence?
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