Master of Applied Artificial Intelligence (Professional)

Postgraduate coursework

Broaden your knowledge and skills to design and develop cutting-edge software solutions that harness the latest advances in AI.

Key facts


2 years full-time

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

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, 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. 

The Master of Applied Artificial Intelligence (Professional) extends the Master of Applied Artificial Intelligence by providing you with the opportunity to undertake industry-based learning or engage in an in-depth research project under the supervision of our internationally recognised research staff.

Are you ready to lead the charge in the AI revolution? 

As an AI specialist, you will collaborate with multidisciplinary teams, including software engineers, data scientists, application developers, and business analysts, to ensure appropriate integration of AI into software solutions from a technical and human perspective. 

Our world-leading research in AI feeds directly into our classrooms, meaning you will be learning at the cutting-edge of industry expectations and capabilities. Graduate with the hands-on experience to confidently work on the design, development, and operation of AI-driven software solutions. 

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.

Artificial intelligence is driving digital disruption across almost every sector, redefining the workforce, and creating global demand for skilled professionals. AI and machine learning specialists top the list of the fastest-growing jobs worldwide.* There are projected to be more than 200,000 roles (25.1% growth or 36,700 new jobs) for software and application programmers in Australia in the next 10 years.^ 

With this significant projected job growth, now is the time to future-proof your career. By enrolling in our Master of Applied Artificial Intelligence (Professional), you position yourself at the forefront of this thriving field, equipped to drive innovation and shape the future of technology. 

*World Economic Forum, The Future of Jobs Report 2023.

^Jobs and Skills Australia, National Employment Projections 2023 to 2033. 

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Course information

Award granted
Master of Applied Artificial Intelligence (Professional)

2025 course information

Deakin code
CRICOS code?
0100306 Waurn Ponds (Geelong)
Higher Degree Coursework (Masters and Doctorates)
Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9

Course structure

To complete the Master of Applied Artificial Intelligence (Professional), students must pass 16 credit points, which must include the following:

The course is structured in three parts:

  • Part A: Core applied artificial intelligence studies (8 credit points)
  • Part B: Specialisation (4 credit points) or level 7 SIT or MIS elective units (4 credit points)
  • Part C: Professional studies (4 credit points).

The course comprises a total of 16 credit points, which must include the following:

  • DAI001 Academic Integrity module (0-credit-point compulsory unit)
  • 8 credit points of core units
  • 4 credit point specialisation or four (4) Level 7 SIT or MIS elective units (excluding SIT771, SIT772, SIT773 and SIT774)
  • 4 credit points of professional studies.

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


Core units


Specialisation/Elective units


Professional units




Mandatory unit for all entry levels

  • Academic Integrity Module (0 credit points)
  • Part A: Introductory artificial intelligence studies

  • Machine Learning
  • Mathematics for Artificial Intelligence
  • Natural Language Processing
  • Deep Learning
  • Engineering AI Solutions
  • Robotics, Computer Vision and Speech Processing
  • Reinforcement Learning
  • Human Aligned Artificial Intelligence
  • Part B: Specialisation or 4 level 7 elective units

    Plus a four (4 credit point) specialisation or 4 level 7 SIT or MIS elective units (excluding SIT771, SIT772, SIT773 and SIT774)

    Part C: Professional studies

  • Professional Practice in Information Technology
  • Team Project (A) - Project Management and Practices ~
  • Team Project (B) - Execution and Delivery
  • One (1) level 7 SIT or level 7 MIS elective (1 credit point)


  • Career Tools for Employability (0 credit points)
  • Professional Practice in Information Technology
  • Professional Practice (2 credit points)*
  • One (1) level 7 SIT or level 7 MIS elective (1 credit point)


  • Research Techniques and Applications (2 credit points)
  • Research Project (Advanced) (2 credit points)^
  • OR

  • Professional Practice in Information Technology
  • Research Techniques and Applications (2 credit points)
  • One (1) level 7 SIT or level 7 MIS elective (1 credit point)

    *Students undertaking this unit must have successfully completed STP710 Career Tools for Employability (0-credit point unit)

    ~ Note: Students are expected to undertake SIT764 and SIT782 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT764 and SIT782 consecutively.

    ^ Entry to SIT746 is subject to specific unit entry requirements.


    Refer to the details of each specialisation for availability


    Intakes by location

    The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

    Trimester 1 - March

    • Start date: March
    • Available at:
      • Waurn Ponds (Geelong)
      • Online

    Trimester 2 - July

    • Start date: July
    • Available at:
      • Waurn Ponds (Geelong)
      • Online

    Additional course information

    Course duration

    Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.

    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.


    You can expect to participate in a range of teaching activities each week. This could include lectures, 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.

    Participation requirements

    Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

    Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.

    Work experience

    You may have an opportunity to undertake a placement as part of your course. For more information, please visit

    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 will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.

    Academic requirements

    To be considered for admission to this degree you will need to meet at least one of the following criteria:

    • completion of a bachelor degree or higher in a related discipline
    • completion of a bachelor degree or higher in any discipline and at least two years' relevant work experience (or part-time equivalent)
    • completion of a Graduate Certificate of Information Technology or equivalent

    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:

    Admissions information

    Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.

    Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.

    Recognition of prior learning

    If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of prior learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of prior learning.
    Your Recognition of prior learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.

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

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place

    The tuition fees you pay are determined by the course you are enrolled in. The 'Estimated tuition fee' is provided as a guide only and represents the typical first-year tuition fees for students enrolled in this course. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of prior learning you have.

    Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together eight credit points of a typical combination of units for this course. Eight credit points is used as it represents a typical full-time enrolment load for a year.

    You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.

    Learn more about international student fees.

    Scholarship options

    A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.

    Search or browse through our scholarships

    Postgraduate bursary

    If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.

    Learn more about the 10% Deakin alumni discount

    Apply now

    Apply through Deakin

    Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service.

    We recommend engaging with a Deakin Authorised Agent who can assist you with the process and submit the application.

    Deakin International office or Deakin representative

    Fill out the application form and submit to a Deakin International office or take your application form to a Deakin representative for assistance

    Need more information on how to apply?

    For information on the application process, including required documents and important dates, visit the How to apply webpage.
    If you need assistance, please contact us.

    Entry pathways

    Alternative exits


    Career outcomes

    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. 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.

    *PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution. 

    Professional recognition

    The Master of Applied Artificial Intelligence (Professional) is professionally accredited with the Australian Computer Society (ACS).

    Course learning outcomes

    Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.

    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.

    Have a broad appreciation of advanced topics within the IT domain through engagement with research or specialist studies.


    Communicate in professional and other context 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 advanced 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

    Demonstrate an advanced and integrated understanding of artificial intelligence and 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 specialist 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.