Master of Applied Artificial Intelligence (Global)

2026 Deakin University Handbook

Year	2026 course information
Award granted	Master of Applied Artificial Intelligence (Global)
Course Credit Points	12
Deakin course code	S732
Course version	1
Faculty	Faculty of Science, Engineering and Built Environment
Course Information	For students who commenced from Trimester 2, 2026 onwards
Campus	This course is delivered by Great Learning online.
Duration	2 years part-time (includes the 11 month or 12 month pathway program via Great Learning and 1 year part-time Deakin content)
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9
Supplementary Information	New course from Trimester 2, 2026. This course is only available to students via the Great Learning pathway. This course is not available to international students studying onshore in Australia. This course is offered part-time only.

Course sub-headings

Course overview

In a world where artificial intelligence (AI) is reshaping industries, many companies are looking to understand and harness this transformative technology. With Deakin’s Master of Applied Artificial Intelligence (Global), you will acquire the specialised knowledge and skills essential for designing and developing software solutions that leverage the power of AI. Get ready to graduate as an in-demand professional worldwide.

Embrace the future of digital disruption and embark on a journey that immerses you in the realms of AI technologies, deep learning, and reinforcement learning. Explore the application of these algorithms in computer vision and speech processing, paving the way for innovative solutions across diverse sectors. Better yet, experience practical learning that mirrors real-world scenarios, utilising state-of-the-art software, robotics, VR, and cyber-physical systems in our fully equipped labs and studios.

Students who have successfully completed Great Learning’s Postgraduate Program in Machine Learning and Artificial Intelligence and who satisfy the entry requirements for this course, will undertake further studies at Deakin.

Indicative student workload

You can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Career opportunities

With artificial intelligence estimated to contribute up to $15.7 trillion to the global economy by 2030,* it's fast becoming the cornerstone to technological progress across industries. AI and machine learning specialists also rank among the top three fastest-growing roles worldwide.^ Evidently, businesses and organisations are increasingly recognising how AI can be harnessed to optimise their growth and operations. This means careers in AI are more exciting and varied than ever before.

Job opportunities are thriving everywhere from healthcare, to retail, to financial services, to transport and logistics – and they will only continue to grow as AI advances. Set yourself up with a career that holds an important place in the employment opportunities of tomorrow.

As a graduate, you will have the specialist knowledge to become a sought-after professional in a range of roles, including:

AI technology software engineer
API integration expert
AI researcher
data scientist
language model trainer
prompt engineer
natural language processing engineer
AI product manager
AI ethicist
AI architect
machine learning engineer.

* PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution.
^ World Economic Forum, The Future of Jobs Report 2025.

Pathways

The Master of Applied Artificial Intelligence (Global) builds upon the postgraduate programs from Great Learning with units that extend students into the AI area. Units within the Deakin delivered content are independent of each other and will enable students to acquire the specialised knowledge and skills essential for designing and developing software solutions that leverage the power of AI.

Course learning outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline- specific knowledge and capabilities	Develop an advanced and integrated knowledge of the technologies of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of the application of AI algorithms across a range of domains and applications including computer vision and speech processing. Design, develop and implement software solutions that incorporate novel applications of artificial intelligence. Apply advanced knowledge of artificial intelligence to the research and evaluation of AI solutions and provision of specialist advice. Design artificial intelligence solutions that incorporate safe ethical decision making.
Communication	Communicate in professional and other contexts to inform, explain and drive sustainable innovation through artificial intelligence and to motivate and effect change by drawing upon advances in technology, future trends and industry standards, and by utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences including specialist and non-specialist clients, industry personnel and other stakeholders.
Digital literacy	Identify, evaluate, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources and justify digital tools selection to influence others.
Critical thinking	Questions assumptions and seeks to uncover inconsistencies and ambiguities in information and judgements, critically evaluates their sources and rationales, to inform and justify decision making in the field of artificial intelligence.
Problem solving	Apply expert, specialised cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate solutions to complex real-world and ill-defined computing problems.
Self-management	Apply reflective practice and work independently to apply knowledge and skills in a professional manner to complex situations and ongoing learning in the field of artificial intelligence with adaptability, autonomy, responsibility, and personal and professional accountability for actions as a practitioner and a learner.
Teamwork	Work independently and collaboratively within multidisciplinary environments to achieve team goals, contributing advanced knowledge and skills from artificial intelligence to advance the teams objectives, employing effective teamwork practices and principles to cultivate creative thinking, interpersonal adeptness, leadership skills, and handle challenging discussions, while excelling in diverse professional, social, and cultural scenarios.
Global citizenship	Engage in professional and ethical behaviour in the field of artificial intelligence, with appreciation for the global context, and openly and respectfully collaborate with diverse communities and cultures.

Course rules

To complete the Master of Applied Artificial Intelligence (Global) you must pass 12 credit points. This includes:

DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in your first study period
10 credit points of core units
2 credit points of elective units

Students are required to meet the University's academic progress and conduct requirements.

Graduates of the Postgraduate Program in Artificial Intelligence and Machine Learning (PGPAIML) who have successfully completed Great Learning units equivalent to 6 credit points as recognised by Deakin; and will have met the minimum requirements for admission to Deakin, will be eligible for enrolment into the Deakin course with 6 credit points of Recognition of Prior Learning (RPL) and will be required to successfully complete 6 units with Deakin University in online mode in order to qualify for the Deakin Master of Applied Artificial Intelligence (Global) Award. i.e.

6 x Deakin units
6 x RPL

The Deakin component of the structure consists of all existing units which will be delivered online over a period of a year (3 x trimesters). Students will enrol part-time, undertaking 2 units (2 credit points) each trimester. Outlined below are the units.