Master of Applied Artificial Intelligence

What you will study

To complete the Master of Applied Artificial Intelligence, you will complete eight, 12 or 16 credit points, depending on your prior experience.

The course is structured in four parts:

• Part A: Foundation Information Technology Studies
• Part B: Fundamental Artificial Intelligence Studies
• Part C: Mastery Applied Artificial Intelligence Studies
• Part D: Applied Artificial Intelligence Capstone Studies

Depending upon prior qualifications and/or experience, you may receive credit towards parts A and B.

The four parts comprise the following: 

• DAI001 Academic Integrity and Respect at Deakin (zero-credit point compulsory unit).
• 15 credit points of core units.
• One credit point of level 7 SIT or MIS-coded elective unit.
   

Entry requirements

Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You must meet the minimum course entry requirements to be considered for selection, but this does not guarantee admission.

Depending on your professional experience and previous qualifications, you may commence this course with Recognition for Prior Learning credit and complete your course sooner.

Academice requirements

Master of Applied Artificial Intelligence - eight credit points

To be considered for admission to this degree (with eight credit points of Recognition of Prior Learning applied~) you will need to meet at least one of the following criteria:

• Completion of a graduate certificate or graduate diploma in a related discipline.
• Completion of a bachelor honours degree in a related^ discipline.
• Completion of a bachelor's degree in a related* discipline, and at least two years' of relevant^ work experience (or part-time equivalent).

Master of Applied Artificial Intelligence - 12 credit points

To be considered for admission to this degree (with 4 credit points of Recognition of Prior Learning applied~), you will need to meet at least one of the following criteria:

• Completion of a bachelor's degree or higher in a related discipline.
• Completion of a bachelor's degree or higher in any discipline and at least two years' relevant* work experience (or part-time equivalent).

Master of Applied Artificial Intelligence - 16 credit points

To be considered for admission to this degree, you will need to meet the following criteria:

• Completion of a bachelor's degree or higher in any discipline.

Related to the broad field of Information Technology.

This is related to the field of Artificial Intelligence, which may be considered to include artificial intelligence, business intelligence, business analytics, computational mathematics and machine learning.

Recognition of Prior Learning will be considered case-by-case and may be granted to applicants based on prior studies and/or equivalent industry experience.

English language proficiency requirements

To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:

• Bachelor's degree from a recognised English-speaking country.
• IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent.
• Other evidence of English language proficiency (learn more about other ways to satisfy the requirements)

Recognition of Prior Learning

The University aims to provide students with as much credit as possible for approved prior study or informal learning.

You can refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

Outcomes

Learning outcomes

• Develop advanced and integrated knowledge of artificial intelligence technologies, 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.
• Communicate in professional and other contexts to inform, explain and drive sustainable innovation through artificial intelligence. Motivate and effect change by drawing upon advances in technology, future trends and industry standards. Utilise a range of verbal, graphical and written methods. Recognise the needs of diverse audiences, including specialist and non-specialist clients, industry personnel and other stakeholders.
• 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 the selection of digital tools to influence others.
• Questions assumptions and seeks to uncover inconsistencies and ambiguities in information and judgements, critically evaluate their sources and rationales, to inform and justify decision-making in the field of artificial intelligence.
• 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.
• 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.
• Work independently and collaboratively within multidisciplinary environments to achieve team goals, contributing advanced knowledge and skills from artificial intelligence to advance the team objectives, employing effective teamwork practices and principles to cultivate creative thinking, interpersonal adeptness, leadership skills, and handling challenging discussions while excelling in diverse professional, social, and cultural scenarios.
• Engage in professional and ethical behaviour in the field of artificial intelligence, with an appreciation for the global context, and openly and respectfully collaborate with diverse communities and cultures.

Career outcomes

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.

Fees and FEE-HELP

Estimated first-year tuition fee in 2025: $32,600 (domestic full-fee paying place)

All costs are calculated using current rates and are based on a full-time study load of eight credit points (normally eight units) per year.

A student’s annual fee may vary in accordance with:

• The number of units studied per term.
• The choice of major or specialisation.
• Choice of units.
• Credit from previous study or work experience.
• Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.