Graduate Diploma of Artificial Intelligence

2023 Deakin University Handbook

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Year	2023 course information
Award granted	Graduate Diploma of Artificial Intelligence
Campus	This course is an exit option only
Online	No
Duration	1 year full-time or part-time equivalent
Deakin course code	S636
Approval status	This course is approved by the University under the Higher Education Standards Framework.
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.

Course sub-headings

Course overview

The Graduate Diploma of Artificial Intelligence is available as an exit option from the Master of Artificial Intelligence. The course provides you with an understanding of artificial intelligence, deep learning, reinforcement learning, and the application of these algorithms in computer vision and speech processing.

Career opportunities

Graduates will have the specialist knowledge needed to operate and engage with artificial intelligence across a broad range of industry sectors.

Participation requirements

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. More information available at Disability support services.

Course Learning Outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Develop an advanced 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. Design artificial intelligence solutions that incorporate safe ethical decision making.
Communication	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.
Digital literacy	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.
Critical thinking	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.
Problem solving	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.
Self-management	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.
Teamwork	Contribute specialist knowledge and skills of artificial intelligence when working within a team, demonstrating high levels of responsibility and accountability.
Global citizenship	Apply professional ethics, responsibilities, and norms of professional computing practice.

Approved by Faculty Board 14 March 2019

Course rules

To complete the Graduate Diploma of Artificial Intelligence, students must attain 8 credit points, which must include the following:

Three (3) core units (3 credit points)
Four (4) credit points from the Master of Applied Artificial Intelligence core units
One (1) credit point Level 7 elective unit
Completion of STP050 Academic Integrity (0-credit point compulsory unit).

Students are required to meet the University's academic progress and conduct requirements.