Top 3 Melbourne university for AI
#1 Melbourne university for IT systems graduate employment
#1 Melbourne university for IT facilities and resources
Why choose applied artificial intelligence at Deakin
In a world where artificial intelligence (AI) is reshaping industries, many companies are seeking to understand and harness this transformative technology. With Deakin’s Master of Applied Artificial Intelligence, you will develop the specialised knowledge and skills essential to design and develop software solutions powered by AI, preparing you for in-demand roles worldwide. Deakin is ranked #1 in the state of Victoria for computing and information systems median salary, and 92.9% of Deakin computing and information systems postgraduates found employment within four months.
Embrace the future of digital disruption as you explore AI technologies, including deep learning and reinforcement learning. Apply these algorithms in areas such as computer vision and speech processing, and experience practical learning using state-of-the-art software, robotics, virtual reality (VR), and cyber-physical systems in fully equipped labs and studios.
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Degrees shaped by employers
Study AI concepts aligned with industry needs, preparing you to design and implement intelligent systems in real contexts.
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Work-integrated learning
Apply your AI skills through practical projects or industry-based experiences that build job-ready capability.
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Flexible postgraduate pathway
Progress your learning with a course that can lead into further postgraduate sustainability study.
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Hands-on experience with new technology
Benefit from Deakin's world-class research in IT and AI and get hands-on experience with cutting edge technologies throughout your degree.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Develop advanced artificial intelligence expertise and apply it across industries including healthcare, finance, retail and logistics. Build practical experience designing intelligent solutions for complex business and technology challenges.
Data scientist
Analyse complex datasets to uncover insights, develop predictive models and support better decision-making. Apply machine learning and AI techniques to solve business and technical challenges across a range of industries.
- $125k
Typical salary in Australia
- 11%
Projected job growth in 5 years
AI engineer
Design, build and deploy artificial intelligence systems that solve complex problems and automate tasks. Combine machine learning, software development and data engineering to create intelligent applications that improve products, services and decision-making.
- #1
Fastest-growing role in Australia
- 53.3%
Roles offering hybrid work
Other jobs
- AI software engineer
- AI researcher
- Prompt engineer
- AI product manager
- AI architect
- AI ethicist
“The course has allowed me to gain deep knowledge and practical skills in AI, giving me the tools to take my career as a software developer to the next level.”
YeisonMaster of Applied Artificial Intelligence
FAQs
A foundation in mathematics, particularly statistics and linear algebra, is beneficial, but Deakin's Master of Applied Artificial Intelligence is designed for students from a range of technical backgrounds. The program emphasises practical implementation of AI tools and systems. Students who need to strengthen their mathematical foundations can access bridging resources and academic support. Review the course entry requirements for specific prerequisite expectations.
Deakin's Master of Applied AI focuses specifically on machine learning, deep learning, natural language processing, computer vision and AI deployment. A Master of Data Science focuses on data analysis, statistical modelling, data engineering and business intelligence, with less emphasis on building AI models. The two disciplines overlap significantly, but AI is more focused on building intelligent systems while data science is more focused on extracting insights from data. Your career goals should guide the choice.
Graduates of Deakin's Master of Applied Artificial Intelligence pursue careers as AI engineers, machine learning specialists, data scientists, AI product managers, NLP engineers and digital transformation consultants. These roles are in demand across technology, finance, healthcare, government and manufacturing sectors globally. The program's applied focus means graduates are job-ready with the practical skills employers actively seek.
Yes. Deakin's Master of Applied Artificial Intelligence is designed to welcome students from diverse academic backgrounds. While a computing or IT background is helpful, strong problem-solving skills and a willingness to engage with mathematics and programming are what matter most. The course builds foundational knowledge in its early stages, so students from related science, technology, engineering and mathematics (STEM) fields can transition confidently into AI study.
Yes. Deakin's Master of Applied Artificial Intelligence can be completed in one year (8 credit points) for international students with a bachelor honours in an IT or computing field, a bachelor in a related field plus two years of relevant experience or a graduate certificate and diploma in a related area. A 1.5-year (12 credit point) pathway is also available.
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
What will I study in the Master of Applied Artificial Intelligence?
The Master of Applied Artificial Intelligence is typically completed in two years full-time or part-time equivalent. You will build advanced AI capabilities and apply them to real problems across industries.
Foundations of information technology and artificial intelligence
Develop core AI and data skills
Learn foundational concepts in machine learning, data analysis and intelligent systems to understand how AI solutions are built.
Apply problem-solving with AI tools
Work on practical tasks that strengthen your ability to analyse data and develop effective AI-driven solutions.
Explore areas of AI application
Gain exposure to different AI domains, helping you identify areas of interest for deeper study.
Advanced application and specialisation
Advance your AI expertise
Build deeper capability in designing, evaluating and deploying intelligent systems across different contexts.
Undertake applied project work
Complete a substantial project that demonstrates your ability to apply AI to real problems.
Strengthen career readiness
Graduate with practical experience, a portfolio of work and skills aligned to industry expectations.
Course structure
To complete the Master of Applied Artificial Intelligence, you must pass 16 credit points. ;
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
You are required to complete four core units within Part A (these are essential units for this degree).
In your first trimester you must also complete a 0-credit point unit which are compulsory for all Deakin University degrees.
You are required to complete three core units and one course elective unit within Part D.
Plus 1 level 7 SIT or MIS-coded elective (1 credit point)
Professional recognition
The Master of Applied Artificial Intelligence is professionally accredited with the Australian Computer Society (ACS). This course is recognised internationally for entry to professional practice by other accrediting bodies through the Seoul Accord.
In order to meet ACS requirements for professional membership, students must satisfy the completion requirements for the whole degree. In addition, ACS guidelines require that the following specific units are completed at Deakin or equivalent units undertaken within another ACS-accredited program: SIT720, SIT744, SIT770, SIT789, SIT796, SIT753, SIT764, SIT782, SIT723, SIT792, SIT791, SIT709.
What to expect while studying
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a laptop or desktop computer. For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
You may be able to study available units in the optional third trimester to fast-track your degree, however your course duration may be extended if there are delays in meeting course requirements, such as completing a placement.
You may choose to use one of your elective units to undertake an internship or participate in an overseas study tour to enhance your global awareness and experience.
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.
Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.
You may have an opportunity to undertake a placement as part of your course. For more information, please visit deakin.edu.au/sebe/wil.
At Deakin, we're committed to ensuring an inclusive environment that supports all students to belong, thrive and succeed. We work closely with students, where needed, to identify potential barriers to participation and where possible, provide tailored support so students can engage with learning and assessment activities.
If you are neurodivergent, have a disability, health condition or mental health condition that may impact your study or participation in university life, and want to know how Deakin could support you, contact our Domestic students (opens in a new window) or International students (opens in a new window) or Disability Resource Centre (opens email client) teams for a collaborative and confidential discussion. This discussion is to support you to make plans for your studies and future career and will not have any bearing on your application to the course.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
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| 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. |
| 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. |
| 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. |
| 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. |
| 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 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. |
| 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. |
- Award granted
- Master of Applied Artificial Intelligence
- Year
2027 course information
- Deakin code
- S736
- CRICOS code?Commonwealth Register of Institutions and Courses for Overseas Students
- 0100305 Waurn Ponds (Geelong)
- Level
- 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
Fees
Estimated tuition fee
$45,800
for 1 yr full-time AUD
The estimated tuition fee above is based on a typical first-year full-time enrolment of 8 credit points and is provided as a guide only. Your tuition fees are determined by your course and unit enrolment. Your tuition fees will vary depending on your study load, the course duration, and any approved recognition of prior learning.
Save 10% as a Deakin alumni
We love welcoming Deakin alumni back to continue their journey with us. If you're starting a postgraduate award course, you may be eligible for a 10% discount on your enrolment fees, applied per unit. It's our way of supporting your next step.
Scholarships
Deakin scholarships recognise your hard work and achievements. Our support can ease the financial pressure of studying in Australia so you stay focused on your success. Numbers are limited, so apply early for the best chance.
Apply now
Apply directly to 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.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.
Students intending to gain professional membership of the Australian Computer Society (ACS) on the basis of their study of this program must complete the following units at Deakin University, or equivalent units undertaken within another ACS-accredited program: SIT720, SIT744, SIT770, SIT789, SIT796, SIT753, SIT764, SIT782, SIT723, SIT792, SIT791, SIT709.
Pathways
Pathways for students to enter the Master of Applied Artificial Intelligence are as follows:
- Graduate Certificate of Information Technology (S578) followed by a 12-credit-point Master of Applied Artificial Intelligence
- Graduate Certificate of Information Technology(S578) and Graduate Certificate of Artificial Intelligence (S536) followed by an 8-credit-point Master of Applied Artificial Intelligence
Pathway options will depend on your professional experience and previous qualifications.
Alternate exits
- Graduate Certificate of Artificial Intelligence (S536)
- Graduate Certificate of Information Technology (S578)
- Graduate Diploma of Artificial Intelligence (S636)