18 months continuous study comprising 16 credit points of units (equivalent to 2 years full-time study load)
Course map - enrolment planning tool
The course map for students commencing from Trimester 2 2027 will be available soon
Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
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, 2027 - This course is delivered at our GIFT City campus, India. It is only available to applicants for study at GIFT City. This course is not available to international students studying onshore at campuses in Australia or as Online students.
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) will provide 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.
Indicative student workload
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.
Professional recognition
The Master of Applied Artificial Intelligence (Professional) 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.
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.
Inclusive support for learning and participation
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, you can contact our Disability Resource Centre (opens email client) team for a collaborative and confidential discussion.
Participation requirements
Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.
Research information
Students interested in pursuing a Higher Degree by Research, including a Masters by Research or PhD are encouraged to undertake the Professional Studies – Research Project pathway and consider using their electives to undertake additional research units (e.g. SIT724 and/or SIT747). Students are encouraged to contact Student Central and speak to a course adviser if they are interested in pursuing this option.
Course learning outcomes
Course Learning Outcomes
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.
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.
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.
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.
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
The Master of Applied Artificial Intelligence (Professional) is structured in four parts:
Part A: Fundamental Artificial Intelligence Studies (4 credit points)
Part B: Mastery Applied Artificial Intelligence Studies (4 credit points)
Part C: Specialisation or course electives (4 credit points)
Part D: Professional Studies (4 credit points)
To complete the Master of Applied Artificial Intelligence (Professional) you must pass 16 credit points. This includes:
DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in your first study period
8 credit points of core units
4 credit points which may comprise of:
4 credit point specialisation or
4 credit points of course elective units (level 7 SIT or MIS-coded units excluding SIT771, SIT772, SIT773 and SIT774)
4 credit points of professional studies capstone units which may comprise of:
Team Project or
Professional Practice (subject to meeting unit requirements) or
Research Project (subject to meeting unit requirements)
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.
Research Techniques and Applications (2 credit points) + (research training capstone)
*Students undertaking this unit must have successfully completed STP710 Career Tools for Employability (0-credit point unit).
+ Entry is subject to specific unit entry requirements.
^Students interested in pursuing a Higher Degree by Research, including a Masters by Research or PhD are encouraged to undertake the Professional Studies – Research Project pathway and consider using their electives to undertake additional research units (e.g. SIT724 and/or SIT747). Students are encouraged to contact Student Central and speak to a course adviser if they are interested in pursuing this option.
Cyber security
Campuses
GIFT City, India
Unit set code
SP-S000028
Overview
Develop skills in securing data, communications and infrastructure, as well as investigating, analysing and providing solutions to computer crime. You will gain problem solving, communication and technical capabilities related to information technology security, along with an understanding of the legal, regulatory and ethical contexts in which these skills are used. Security units provide a solid foundation in areas including information security, internet and network security, access controls and firewalls.
The data science specialisation has been designed to provide students with the opportunity to undertake study and develop technical skills in key areas of data science and data analytics.
Tuition fees will vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, your study load and/or unit discipline.
Your tuition fees will increase annually at the start of each calendar year. All fees quoted are in Australian dollars ($AUD) and do not include additional costs such as textbooks, computer equipment or software, other equipment, mandatory checks, travel, consumables and other costs.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
