Direct applications to Deakin for Trimester 1 2020 close 23 February 2020
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Artificial intelligence is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in artificial intelligence, which is creating a large demand for skilled professionals.
Deakin’s suite of courses in Applied Artificial Intelligence will equip you with specialist knowledge and skills necessary to design and develop advanced solutions using artificial intelligence.
The Master of Applied Artificial Intelligence will develop your understanding of the state of the art in artificial intelligence, deep learning, reinforcement learning, and the application of these algorithms in computer vision and speech processing. You will explore the complexities of introducing AI solutions in a human context, both from a conceptual and ethical perspective as well as from an engineering perspective.
As an artificial intelligence specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your specialist knowledge to ensure artificial intelligence is appropriately integrated into software solutions from a technical and human perspective.
You will gain hands-on experience in the development of software solutions and the use and development of artificial intelligence. Our world-leading research in artificial intelligence feed directly into our classrooms, meaning that you’ll be learning at the cutting edge of industry expectations and capabilities.
As a graduate you will be well-equipped to work on design, development, and operation of software solutions involving artificial intelligence.
Units in the course may include assessment hurdle requirements.Read More
To complete the Master of Applied Artificial Intelligence, you will complete 8, 12 or 16 credit points, depending on your prior experience.
The course is structured in three parts:
- Part A. Fundamental Information Technology Studies (4 credit points),
- Part B. Introductory Artificial Intelligence Studies (4 credit points), and
- Part C. Mastery Applied Artificial Intelligence Studies (8 credit points).
Depending upon prior qualifications and/or experience, you may receive credit for Parts A and B.
The course comprises a total of 16 credit points, which must include the following:
- 14 credit points of core units
- 2 credit points of Level 7 SIT elective units
- completion of STP050 Academic Integrity (0-credit point compulsory unit)
Mandatory unit for all entry levels
Part A: Fundamental Information Technology Studies
Part B: Introductory Artificial Intelligence Studies
Plus one elective unit
Part C: Mastery Applied Artificial Intelligence Studies
Plus one elective
~ 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.
^ Available from 2021
Plus two (2) level 7 SIT-coded elective units.
2020 course information
This course is approved by the University under the Higher Education Standards Framework
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9
Campuses by intake
Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.
Trimester 1 - March
- Start date: March
- Available at:
- Waurn Ponds (Geelong)
- Cloud Campus
New course commencing Trimester 1 2020
Additional course information
Course duration - additional information
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 classes, 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.
Reasonable adjustments to participation and other course requirements will be made for students with a disability. Click here for more information.
You will have an opportunity to undertake a placement as part of your course.
Ask a question about studying a at Deakin
Deakin University offers admission to postgraduate courses through a number of Admission categories.
All applicants must meet the minimum English language requirements.
Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.
For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library
The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.
Admission to study postgraduate coursework at Deakin is based on your professional experience and previous academic qualifications. Depending on your prior experience, your course will be:
1 year full time (2 years part time) – 8 credit points
Admission is based on:
- Bachelor’s Honours (AQF8) degree in a related discipline OR
- Bachelor’s degree in a related discipline, plus two years relevant work experience OR
- Graduate Certificate of Applied Artificial Intelligence (or equivalent) OR
- Evidence of academic capability judged to be equivalent
1.5 years full time (3 years part time) – 12 credit points
Admissions is based on:
- Bachelor’s degree in a related discipline OR
- Bachelor’s degree in any discipline, plus two years relevant work experience OR
- Graduate Certificate of Information Technology or equivalent OR
- Evidence of academic capability judged to be equivalent
2 years full time (4 years part time) – 16 credit points
Admissions is based on:
- Bachelor’s degree or other qualification at a higher AQF level in any discipline OR
- Evidence of academic capability judged to be equivalent
Recognition of prior learning
Recognition of Prior Learning may be granted for relevant postgraduate studies, in accordance with standard University procedures.
You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Learn more about fees and your options for paying.
Fees and charges vary depending on your course, your fee category and the year you started. To find out about the fees and charges that apply to you, visit www.deakin.edu.au/fees.
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.
If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 15% reduction per unit on your enrolment fees. Your Immediate Family Members may also be eligible to apply for this bursary.
How to apply
For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.
Please complete the Register your interest form to receive further information about our direct application opportunities.
- Graduate Certificate of Artificial Intelligence (S536)
- Graduate Certificate of Information Technology (S578)
- Graduate Diploma of Artificial Intelligence (S636)
Faculty of Science, Engineering and Built Environment
School of Information Technology
Prospective student enquiries
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Frequently asked questions
What are the key study start dates?
Browse all start and finish dates for Deakin’s main study periods. You’ll also find dates relating to applications and prospective student events, plus a list of all public holidays and study breaks.
How much does it cost to study at Deakin?
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Use our fee estimator to gauge what your fees could be per year.
Can I speak to someone in person about my study options?
Yes! We regularly host a range of events including 1:1 consultations and information sessions, to assist you with your study options and career planning. Check out our upcoming events or contact our Prospective Student Enquiry Centre on 1800 693 888 for more information.
Am I eligible for a scholarship with this course?
Scholarships are available for domestic and international students at all study levels. Find a scholarship that works for you.
Can I claim recognition of prior learning (RPL) for this course?
In some courses, you can reduce your overall study time and tuition cost by getting your work and previous study experience recognised as recognition of prior learning (RPL).
Why choose Deakin
Graduates will have the specialist knowledge needed to operate as Data Scientists, AI Technology Software Engineers, AI Product Managers, AI Ethicist and grow into roles such as AI Architect.
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.
Prepare a range of technical and user-oriented documentation using adequate structure, terminology and context to address technical and non-technical audiences.
Convey information and instructions in a clear, concise and coherent manner using appropriate oral communication techniques and skills for a broad range of audiences.
Imagine, conceive, and represent ideas using IT conventions, modelling languages, and standards to reflect on complex artificial intelligence ideas and processes in an effective manner.Apply interpersonal skills to lead, proactively assist, contribute to ideas, respect opinions and value contribution made by others when working collaboratively with a wide range of stakeholders.
Identify, select and use a range of digital technologies and tools to generate, manage and share digital resources associated with advanced artificial intelligence concepts and solutions.
Independently and systematically locate information, evaluate its reliability, and use the information for design, problem solving and research purposes.Recommend and use appropriate practices and processes to ensure the security, integrity, safety and availability of digital resources.
In assessing complex artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems and proposals to identify basic statements.
In assessing complex artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected.In assessing complex artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid.
Apply expert, specialised technical skills, knowledge and techniques to identify and define complex problems utilising advanced artificial intelligence in a variety of contexts.
Apply expert, specialised technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design novel artificial intelligence solutions.
Apply expert, specialised technical skills and knowledge to develop innovative and creative approaches and/or solutions in planning, designing, managing, evaluating and executing complex artificial intelligence projects.
Integrate knowledge of social, safety, legal and cultural aspects to solve problems in complex and contradictory situations.
Evaluate own knowledge and skills with relation to wider artificial intelligence community and use frameworks of reflection to define and progress professional goals.
Recognise the need, and engage in, independent learning for continual development pf specialist knowledge and skills in artificial intelligence as a computing professional.
Demonstrate the ability to accept responsibility for objectives, and work under broad direction, engaging in the feedback process independently to ensure outcomes are achieved.
Contribute specialist knowledge and skills of artificial intelligence when working within a team, demonstrating high levels of responsibility and accountability.
Engage consistently and professionally in groupware to contribute expert knowledge and skills of artificial intelligence to achieve shared team objectives and outcomes.
Apply strategies to lead and support positive group dynamics, manage conflict and to function effectively as a team member.
Apply professional ethics, responsibilities, and norms of professional computing practice.
Demonstrate awareness of regulation and ethical implications of acquisition, use, disclosure and eventual disposal of information.
Engage with global trends and research with concern for societal, health, safety, legal, and cultural issues to effectively manage responsibilities relevant to artificial intelligence in practice.
Approved by Faculty Board 27 June 2019