Updating Results

Deakin University

  • 21% international / 79% domestic

Master of Applied Artificial Intelligence

  • Masters (Coursework)

Artificial intelligence is driving digital disruption, with new technology helping redefine many industries.

Key details

Degree Type
Masters (Coursework)
Course Code
S736, 0100305
Intake Months
Jun, Oct

About this course

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 around the globe.

Deakin's Master of Applied Artificial Intelligence will equip you with specialist knowledge and skills necessary to design and develop software solutions that harness the latest advances in artificial intelligence (AI).

The Master of Applied Artificial Intelligence will develop your understanding of the technologies of artificial intelligence, deep learning, reinforcement learning, and the application of these algorithms in computer vision and speech processing.

As a graduate you will be well-equipped to work on design, development, and operation of software solutions involving artificial intelligence.

Ready to drive digital disruption and harness the power of AI?

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 learn to apply advanced knowledge of artificial intelligence to the research and evaluations of AI and explore the complexities of introducing AI solutions in a human context, both from an ethical perspective as well as from an engineering 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.

Entry requirements

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

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

Career pathways

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 structure

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. Foundation 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)

Credit for prior study or work

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.

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Deakin University.
79.2%
Overall satisfaction
80.8%
Skill scale
65.2%
Teaching scale
88.8%
Employed full-time
$110k
Average salary