Master of Applied Artificial Intelligence (Professional)
2024 Deakin University Handbook
| Year | 2024 course information |
|---|---|
| Award granted | Master of Applied Artificial Intelligence (Professional) |
| Deakin course code | S737 |
| Faculty | Faculty of Science, Engineering and Built Environment |
| Campus | Offered at Waurn Ponds (Geelong) |
| Online | Yes |
| Duration | 2 years full-time or part-time equivalent |
| Course Map - enrolment planning tool | The course map for new students commencing from Trimester 1 2024
The course map for new students commencing from Trimester 2 2024
|
| CRICOS course code | 0100306 Waurn Ponds (Geelong) |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9 |
Course sub-headings
- Course overview
- Indicative student workload
- Professional recognition
- Career opportunities
- Participation requirements
- Mandatory student checks
- Alternative exits
- Fees and charges
- Course Learning Outcomes
- Course rules
- Specialisations
- Course structure
- Work experience
- Details of specialisations
- Other learning experiences
Course overview
Artificial intelligence (AI) is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in AI, which is creating a large demand for skilled professionals.
Deakin’s Master of Applied Artificial Intelligence (Professional) equips you with the specialist knowledge and skills necessary to design and develop cutting-edge software solutions that harness the latest advances in AI.
The Master of Applied Artificial Intelligence (Professional) extends the Master of Applied Artificial Intelligence by providing 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.
Ready to drive digital disruption and harness the power of AI?
As an AI specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your knowledge to ensure AI 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 AI. Our world-leading research in AI feeds directly into our classrooms, meaning that you will be learning at the cutting edge of industry expectations and capabilities.
This degree develops your understanding of the AI technologies, 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 AI-driven software solutions.
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).
Career opportunities
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.
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.
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.
Alternative exits
| Graduate Certificate of Artificial Intelligence (S536) | |
| Graduate Diploma of Artificial Intelligence (S636) | |
| Master of Applied Artificial Intelligence (S736) |
Fees and charges
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
Use the Fee estimator to see course and unit fees applicable to your course and type of place. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
Course Learning Outcomes
| 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. Have a broad appreciation of advanced topics within the IT domain through engagement with research or specialist studies. |
| 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. 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. |
| Global citizenship | 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
Course rules
To complete the Master of Applied Artificial Intelligence (Professional), students must attain 16 credit points, which must include the following:
The course is structured in three parts:
- Part A: Core Applied Artificial Intelligence Studies (8 credit points)
- Part B: Specialisation (4 credit points) or Level 7 SIT or MIS elective units (4 credit points)
- Part C: Professional Studies (4 credit points).
The course comprises a total of 16 credit points, which must include the following:
- DAI001 Academic Integrity Module Module (0-credit-point compulsory unit)
- eight (8) credit points of core units
- four (4) credit point specialisation or four (4) Level 7 SIT or MIS elective units (excluding SIT771, SIT772, SIT773 and SIT774)
- four (4) credit points of Professional Studies.
Students are required to meet the University's academic progress and conduct requirements.
Specialisations
Refer to the details of each specialisation for availability
- Blockchain and Software Development
- Business Analytics
- Cyber Security
- Data Science
- Information Systems
- Networking and Cloud Technologies
- Virtual Reality
Course structure
Core
Mandatory unit for all entry levels
| DAI001 | Academic Integrity Module (0 credit points) |
Part A: Introductory Artificial Intelligence Studies
| SIT720 | Machine Learning |
| SIT787 | Mathematics for Artificial Intelligence |
| SIT770 | Natural Language Processing |
| SIT744 | Deep Learning |
| SIT788 | Engineering AI Solutions |
| SIT789 | Robotics, Computer Vision and Speech Processing |
| SIT796 | Reinforcement Learning |
| SIT799 | Human Aligned Artificial Intelligence |
Part B: Specialisation or 4 Level 7 elective units
Plus a four (4 credit point) specialisation or 4 Level 7 SIT or MIS elective units (excluding SIT771, SIT772, SIT773 and SIT774)
Part C: Professional Studies
| SIT753 | Professional Practice in Information Technology |
| SIT764 | Team Project (A) - Project Management and Practices ~ |
| SIT782 | Team Project (B) - Execution and Delivery |
One (1) level 7 SIT or level 7 MIS elective (1 credit point)
OR
| STP710 | Career Tools for Employability (0 credit points) |
| SIT753 | Professional Practice in Information Technology |
| SIT791 | Professional Practice (2 credit points)* |
One (1) level 7 SIT or level 7 MIS elective (1 credit point)
OR
| SIT723 | Research Techniques and Applications (2 credit points) |
| SIT746 | Research Project (Advanced) (2 credit points)^ |
OR
| SIT753 | Professional Practice in Information Technology |
| SIT723 | Research Techniques and Applications (2 credit points) |
One (1) level 7 SIT or level 7 MIS elective (1 credit point)
*Students undertaking this unit must have successfully completed STP710 Career Tools for Employability (0-credit point unit)
~ 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.
^ Entry to SIT746 is subject to specific unit entry requirements.
Work experience
You may have an opportunity to undertake a placement as part of your course. For more information, please visit deakin.edu.au/sebe/wil.
Details of specialisations
Blockchain and Software Development
Campuses
Burwood (Melbourne), Online
Unit set code
SP-S000092
Overview
This specialisation introduces you to state-of-the-art blockchain technologies and allows you to explore various software platforms and tools used for large-scale data analysis. You will learn how to build software solutions using modern software engineering techniques and have the opportunity to choose to hone your studies in the design and development of cloud applications or blockchain technologies depending on your area of interest.
Units
| SIT708 | Mobile Application Development |
| SIT725 | Applied Software Engineering |
| SIT728 | Blockchain Technologies and Real-World Applications |
| SIT737 | Cloud Native Application Development |
Business Analytics
Campuses
Burwood (Melbourne), Online
Unit set code
SP-MDBS004
Units
| MIS770 | Foundation Skills in Data Analysis |
| MIS771 | Descriptive Analytics and Visualisation |
Plus 2 credit points from:
| MIS772 | Predictive Analytics |
| MIS714 | People Analytics |
| MIS781 | Business Intelligence and Database |
Cyber Security
Campuses
Burwood (Melbourne), Online
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. Students gain an understanding of problem solving, communication and technical capabilities related to Information Technology Security and the legal, regulatory and ethical contexts in which these skills are used. The security units provide a solid foundation in areas including information security, internet and network security, access controls and firewalls. In conjunction with work experience, the units prepare students towards certification as a Certified Information Systems Security Professional on completion of the CISSP exam administered by The International Information Systems Security Certification Consortium (ISC)2.
Units
| SIT716 | Computer Networks and Security |
| SIT704 | Ethical Hacking |
And two (2) units from the following:
| SIT703 | Computer Forensics and Investigations |
| SIT735 | Application and Communication Protocol Security |
| SIT736 | Identity, Access Management and Physical Security |
| SIT738 | Secure Coding |
| SIT763 | Cyber Security Management |
Data Science
Campuses
Burwood (Melbourne), Online
Unit set code
SP-S000055
Overview
The Data Science specialisation has been designed to provide students the opportunity to undertake study and develop technical skills in key areas of data science and data analytics.
Units
| SIT718 | Real World Analytics |
| SIT720 | Machine Learning |
And two (2) units from the following:
| SIT741 | Statistical Data Analysis |
| SIT742 | Modern Data Science |
| SIT743 | Bayesian Learning and Graphical Models |
| SIT744 | Deep Learning |
| SIT731 | Data Wrangling |
Information Systems
Campuses
Burwood (Melbourne), Online
Unit set code
SP-MDBS012
Units
| MIS701 | Digital Business Analysis |
| MIS761 | Cyber Security Strategies |
| MIS770 | Foundation Skills in Data Analysis |
| MIS782 | Value of Information |
Networking and Cloud Technologies
Campuses
Burwood (Melbourne), Online
Unit set code
SP-S000021
Overview
Learn to take advantage of modern networking and cloud technologies in the development, deployment, and scaling of enterprise solutions.
Units
Any four (4) units from the following:
| SIT706 | Cloud Computing |
| SIT716 | Computer Networks and Security |
| SIT727 | Cloud Automation Technologies |
| SIT722 | Software Deployment and Operation |
| SIT737 | Cloud Native Application Development |
Virtual Reality
Campuses
Burwood (Melbourne)
Unit set code
SP-S000083
Overview
Virtual Reality (VR) is an immersive digital environment that can replicate lifelike physical environments or portray a fictional artificial world, and makes the user feel they are immersed in that environment in real-life. These can be viewed through a head mounted display (e.g. Oculus Rift and HTC Vive), a smartphone based display (e.g. Google Cardboard) or by standing within a cube or dome showing 3D projections on every surface. VR allows users to interact with these environments and can also create additional sensory experiences including virtual touch through haptic technology, smell, taste and sound. There is a strong emphasis on creating content that will assist in shaping the future of education, training and entertainment.
Career Outcomes
Virtual Reality and Augmented Reality skills are in high demand across a range of industries and graduates may find employment as Virtual Reality Game Designers, Oculus Developers, Game Producers, 3D Designers and Gameplay Engineers to name a few.
Units
| SIT758 | Assembling Virtual and Augmented Reality Experiences |
| SIT755 | Interactive Application Design for Virtual and Augmented Reality |
| SIT756 | Development for Virtual and Augmented Reality |
| SIT757 | Content Creation for Interactive Experiences |
Other course information
Course duration
Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
Other learning experiences
You may choose to use one of your elective units to undertake an internship or participate in an overseas study tour to enhance your global awareness and experience.