Top 200 worldwide for computer science and information systems
Globally recognised Australian degree in India
In-demand postgraduate skills for a global workforce
Why choose Deakin
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.
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World-class Australian degree
Experience a world class Australian postgraduate education and earn a globally recognised degree while studying in India.
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Industry-informed curriculum
All of Deakin's IT and AI courses are designed in consultation with leading global technology companies, businesses and governments, ensuring you graduate ready to work.
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Industry-connected learning at GIFT City
Studying in India’s global financial and innovation hub gives you practical exposure to the industries shaping the future of business and technology.
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Career readiness built into every course
Deakin's career support services and long-standing global partnerships provide students with internship opportunities and career pathways in India and beyond.
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
The professional practice or research experience you gain throughout your degree will complement your advanced AI expertise, preparing you for specialist careers designing and delivering intelligent solutions across industries.
AI and machine learning specialist
Develop intelligent systems that learn from data to solve complex problems. You will design, train and optimise machine learning models that power products, services and technologies across a wide range of industries.
- #3
Fastest-growing job globally
- #1
Fastest-growing skills globally
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.
- #11
Fastest-growing job globally
- 41%
Global job growth by 2030
Other jobs
- AI technology software engineer
- AI researcher
- Prompt engineer
- AI product manager
- AI architect
- AI ethicist
*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 (Professional)?
The Master of Applied Artificial Intelligence (Professional) is typically completed in two years full-time or part-time equivalent. You will build advanced AI expertise and extend your learning through professional practice and industry engagement.
Foundations of 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 designed and applied.
Apply problem-solving with AI tools
Work on practical tasks that strengthen your ability to analyse complex data and develop effective AI-driven solutions.
Explore areas of AI application
Gain insight into different AI domains to help you identify areas for deeper study and future career focus.
Advanced application, specialisation and professional study
Advance your AI expertise
Build capability in designing, evaluating and deploying intelligent systems across a range of industry contexts.
Undertake applied project work
Complete a substantial project that demonstrates your ability to translate AI theory into practical solutions.
Strengthen career readiness
Develop a portfolio of work and professional skills aligned to industry expectations in artificial intelligence roles.
Course structure
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.
Students are required to meet the University's academic progress and conduct requirements.
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.
^ available at GIFT City Campus from 2028
You have the option to complete a specialisation (4 credit points) or 4 course elective units from this list below:
Specialisations
- Cyber Security - GIFT City
- Data Science - online
Course Electives (available at GIFT City)
Course Electives (available online)
You must choose from one of these Professional Studies options.
Team Project
Plus 1 level 7 SIT or MIS-coded elective unit (1 credit point)
OR
Professional Practice
OR
Research Project^
Plus 1 unit (2 credit points) from the following:
*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, SIT746 and/or SIT747). Students are encouraged to contact Student Central and speak to a course adviser if they are interested in pursuing this option.
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.
What to expect while studying
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.
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.
When can I start?
This course commences in Trimester 2 ( July) only. It is available to commence at the Deakin GIFT City campus in India.
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.
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 |
|---|
| 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. |
- Award granted
- Master of Applied Artificial Intelligence (Professional)
- Year
2027 course information
- Deakin code
- S737A
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9
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.