Bachelor of Artificial Intelligence (Honours)
2025 Deakin University Handbook
| Year | 2026 course information |
|---|---|
| Award granted | Bachelor of Artificial Intelligence (Honours) |
| Deakin course code | S408 |
| Course Credit Points | 32 |
| Course version | 1 |
| Faculty | |
| Course Information | For students who commenced from 2023 onwards |
| Campus | Offered at Burwood (Melbourne), Online |
| Duration | 4 years full-time or part-time equivalent |
| Course Map - enrolment planning tool | This course map is for new students commencing from Trimester 1 2026 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
| CRICOS code | 111442F Burwood (Melbourne) |
| 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
- Indicative student workload
- Professional recognition
- Career opportunities
- Participation requirements
- Mandatory student checks
- Alternative exits
- Course Learning Outcomes
- Course rules
- Minors
- Course structure
- Work experience
- Details of minor sequences
- Fees and charges
Course overview
Artificial Intelligence (AI) is driving digital disruption through the development of smart systems and machines capable of performing tasks that typically require human intelligence. From self-driving cars to the proliferation of smart assistants, AI is a growing part of everyday life. This specialised four-year course prepares you with the knowledge and skills required to design, develop and evolve computational solutions that harness the latest advances in AI.
You will study up-to-the-minute trends, insights and emerging topics to ensure you graduate with a highly relevant skill set that is sought after by employers across the globe. Explore a range of AI tools and techniques as you learn key concepts and deep dive into advanced topics in machine learning, language and speech processing, and robotics.
Want the skills to develop the intelligent systems that drive digital disruption?
The Bachelor of Artificial Intelligence (Honours) gives you ample opportunity to sharpen your skill set under the guidance and direction of our supportive teaching staff. Start by exploring fundamental concepts across mathematical modelling and programming, before diving into more advanced topics in data science, data engineering, data wrangling, machine learning, natural language and speech processing, robotics and AI. You’ll have opportunities to undertake a professional placement and to work in teams with an industry partner, tackling authentic business challenges as part of a capstone project. You can also focus your studies towards the area that interests you most by undertaking minor studies in an area of your choosing. In your final year, consolidate your knowledge through the completion of an honours research project.
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 Bachelor of Artificial Intelligence (Honours) 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.
Career opportunities
Skilled AI professionals are increasingly in demand as organisations realise the potential of intelligence systems to improve our daily lives – both in and outside the workplace. As AI becomes more deeply integrated into business practices, it enhances automation and operational efficiency – driving global demand for skilled professionals in this emerging field of IT.
As a graduate, you will have a highly specialised skill set that enables you to push boundaries. You may find employment as a data engineer, data scientist, data analyst, AI engineer, AI ethicist or AI architect, to name a few.
By undertaking a focused research project in your final year of study, you will acquire research skills and advanced technical expertise in your chosen topic. Plus, you will develop the skills to become a creative, solutions-driven professional in the dynamic and ever-evolving field of AI. You will also be well positioned to pursue further study including a masters by research or PhD.
Participation requirements
Placement can occur at any time, including during standard holiday breaks. Learn about key dates at Deakin.
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
| Bachelor of Artificial Intelligence (S308) |
Equipment requirements
The learning experiences and assessment activities within this course require that students have access to a range of technologies beyond a desktop computer or laptop. Students will be required to purchase minor equipment, such as small single board computers, microcontrollers and sensors, which will be used within a range of units in this course. This equipment is also usable by the student beyond their studies. Equipment requirements and details of suppliers will be provided on a per-unit basis. The indicative cost of this equipment for this course is AUD$500.
For information regarding hardware and software requirements, please refer to the 'Bring your own device (BYOD)' guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
Course Learning Outcomes
| Deakin Graduate Learning Outcomes | Course Learning Outcomes |
|---|---|
| Discipline-specific knowledge and capabilities | Develop a coherent and advanced knowledge of artificial intelligence, with detailed knowledge of the machine learning, data analytics, and programming and knowledge, skills, tools, and methodologies for professional practice and research. |
| Communication | Communicate in a professional context incorporating research-driven perspective to inform, explain and drive sustainable innovation through artificial intelligence, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences. |
| Digital literacy | Identify, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources for research and practice. |
| Critical thinking | Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with research and practice in artificial intelligence. |
| Problem solving | Apply cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate innovative solutions to real-world and ill-defined computing problems. |
| Self-management | Work independently to apply knowledge and skills to new situations in research and professional practice and/or further learning in the field of artificial intelligence with adaptability, autonomy, responsibility, and personal accountability for actions as a practitioner and a learner. |
| Teamwork | Work independently and collaboratively to achieve team goals, contributing knowledge and skills from artificial intelligence practice and research to advance the teams objectives, employing effective teamwork practices and principles, and comprehending distinct workplace roles and their functions. |
| Global citizenship | Apply professional and ethical standards and accountability in research and practice in the field of artificial intelligence and engage openly and respectfully with diverse communities and cultures. |
Course rules
To complete the Bachelor of Artificial Intelligence (Honours) students must pass 32 credit points and meet the following course rules to be eligible to graduate:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
- STP010 Career Tools for Employability (0-credit-point compulsory unit)
- 17 credit points of core units
- 3 credit points of capstone units
- 4 credit points of research training capstone units
- 8 credit points which may comprise of:
- 2 minors (8 credit points)
- 1 minor (4 credit points) and 4 credit points of open elective units
- a maximum of 10 credit points at level 1
- a minimum of 10 credit points at level 3 or above
Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University’s vocabulary.
Minors
Refer to the details of each minor sequence for availability.
- Artificial Intelligence for Society
- Cloud Technologies
- Cyber Security
- Cyber Security Analytics
- Embedded Systems
- Full Stack Development
- Information Technologies Research.
Course structure
Core
Year 1 - Trimester 1
| DAI001 | Academic Integrity and Respect at Deakin (0 credit points) |
| STP010 | Career Tools for Employability (0 credit points) |
| SIT102 | Introduction to Programming |
| SIT192 | Discrete Mathematics |
| SIT111 | Computer Systems " |
| SIT112 | Introduction to Data Science and Artificial Intelligence |
Year 1 - Trimester 2
| SIT232 | Object-Oriented Development |
| SIT103 | Database Fundamentals |
| SIT202 | Computer Networks and Communication |
| SIT194 | Introduction to Mathematical Modelling |
Year 2 - Trimester 1
| SIT221 | Data Structures and Algorithms |
| SIT215 | Computational Intelligence |
| SIT220 | Data Wrangling |
Plus 1 minor or open elective unit (1 credit point)
Year 2 - Trimester 2
| SIT307 | Machine Learning |
| SIT223 | Professional Practice in Information Technology # |
| SIT292 | Linear Algebra for Data Analysis |
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 1
| SIT319 | Deep Learning |
| SIT330 | Natural Language Processing |
| SIT374 | Team Project (A) - Project Management and Practices ^ (capstone) |
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 2
| SIT332 | Robotics, Computer Vision and Speech Processing |
Plus 1 minor or open elective unit (1 credit point)
Plus 2 credit points from the following capstone options:
| SIT378 | Team Project (B) - Execution and Delivery ^ (capstone) |
| SIT306 | IT Placements and Industry Experience ^+ (capstone) |
OR
| SIT344 | Professional Practice (2 credit points) ^+ (capstone) |
Year 4 - Trimester 1
| SIT723 | Research Techniques and Applications (2 credit points)^ (research training capstone) |
Plus 2 minor or open elective units (2 credit points)
Year 4 - Trimester 2
Plus 2 open elective or minor units (2 credit points)
Plus 2 credit points from the following research training capstone options:
| SIT724 | Research Project (2 credit points)^ (research training capstone) |
OR
| SIT746 | Research Project (Advanced) (2 credit points)^* (research training capstone) |
^ Offered in Trimester 1, Trimester 2, Trimester 3.
+ Students must have completed STP010 Career Tools for Employability (0-credit point compulsory unit) and SIT223 Professional Practice in Information Technology.
# Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit).
*Entry to SIT746 is subject to specific unit entry requirements.
It is important to ensure your course plan meets the course rules detailed above. Students should contact Student Central for assistance with course planning, choosing the right units and understanding course rules.
Electives
Select from a range of elective units offered across many courses. You may even be able to choose elective units from a completely different discipline area (subject to meeting unit requirements).
It is important to note that some elective units may include compulsory placement, study tours, work-based training or collaborative research training arrangements.
Work experience
This course includes a compulsory work placement with an approved host organisation to take your learning beyond the classroom and prepare you to be work and career ready. Work Integrated Learning (WIL) units offered in this course provide you with the opportunity to develop your professional networks and work practices while completing your degree.
Elective units may also provide additional opportunities for work integrated learning experiences.
For more information visit SEBE Work Integrated Learning.
Details of minor sequences
Artificial Intelligence for Society
Campuses
Online
Unit set code
MN-S000024
Overview
This minor sequence offers an interdisciplinary exploration of AI’s intersection with human values, ethics, and strategic integration. Students engage with topics like human-aligned AI, focusing on designing AI systems that prioritise human welfare, and the strategic integration of AI, examining its impact on organisations and society. The minor also delves into professional ethics in the digital age, addressing responsible AI development and usage. Additionally, the philosophy of human and artificial intelligence investigates the evolving relationship between humans and intelligent systems, fostering critical thinking about the ethical and philosophical implications of AI advancements.
Units
| ASP299 | Minds in Action: Philosophy of Human and Artificial Intelligence (AI) |
| MIS231 | Professional Ethics in the Digital Age |
| SIT321 | Human Aligned Artificial Intelligence ^ |
| SIT335 | Strategic Integration of Artificial Intelligence ^ |
^available from 2027
Cloud Technologies
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000011
Overview
In today’s data-driven digital world, cloud technologies are an area of significant business interest. Their adoption and integration into business practices is growing at a rapid pace. This minor focuses on providing you with the knowledge, skills and expertise required to construct solutions using virtualisation, enterprise networks, system security, and cloud infrastructure.
Units
| SIT233 | Cloud Computing |
| SIT226 | Cloud Automation Technologies |
| SIT323 | Cloud Native Application Development |
| SIT314 | Software Architecture and Scalability for Internet-Of-Things |
Cyber Security
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000015
Overview
This minor sequence provides insight into cyber security and equips you with skills in secure coding, security management and ethical hacking. In today's digital world, cyber security threats are a major challenge across many sectors. As cyberattacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally.
Units
| SIT182 | Real World Practices for Cyber Security |
| SIT218 | Secure Coding |
| SIT284 | Cyber Security Management |
| SIT379 | Ethical Hacking |
Cyber Security Analytics
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000016
Overview
In today's digital world, cyber security threats are a major challenge across many sectors. As cyberattacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally. This minor sequence provides an insight into the analysis of data associated with cyber security attacks.
Units
| SIT182 | Real World Practices for Cyber Security |
| SIT282 | Computer Forensics and Investigations |
| SIT384 | Cyber Security Analytics |
Plus one (1) unit from:
| SIT326 | Advanced Network Analytics and Forensics |
| SIT327 | Network Forensics |
Embedded Systems
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000005
Overview
This minor will focus on developing solutions that use hardware, software, sensors, actuators, prototyping platforms and systems software. Students will gain the skills and knowledge to solve real-world problems in smart homes, the Internet of Things and robotics.
Units
| SIT122 | Robotics Studio |
| SIT225 | Data Capture Technologies |
| SIT210 | Embedded Systems Development |
| SIT329 | Advanced Embedded Systems |
Full Stack Development
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000012
Overview
Web development is one of the fastest-growing careers in today’s economy. There is growing demand for full stack web developers who are proficient in both frontend and backend web development. Throughout this minor sequence, you will explore responsive web apps, full stack development across frontend applications and backend services, and mobile programming for Android and iOS.
Units
| SIT120 | Introduction to Responsive Web Apps |
| SIT331 | Full Stack Development: Secure Backend Services |
| SIT313 | Full Stack Development: Secure Frontend Applications |
| SIT305 | Mobile Application Development |
Information Technologies Research
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000018
Overview
This minor provides students with hands-on experience in research and publishing scientific papers. This minor is designed to help support students aiming to pursue a research higher degree.
Units
| SLE761 | Professional Research Practice |
| SIT718 | Real World Analytics |
| SIT747 | Research Project (Publication) (2 credit points)+ |
+ Entry to SIT747 is subject to specific unit entry requirements.
Course duration
You may be able to study available units in the optional third trimester to fast-track your degree, however your course duration may be extended if there are delays in meeting course requirements, such as completing a placement.
Fees and charges
Tuition fees will vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, your study load and/or unit discipline.
Your tuition fees will increase annually at the start of each calendar year. All fees quoted are in Australian dollars ($AUD) and do not include additional costs such as textbooks, computer equipment or software, other equipment, mandatory checks, travel, consumables and other costs.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
Further information
Contact Student Central for assistance in course planning, choosing the right units and explaining course rules and requirements. Student Central can also provide information for a wide range of services at Deakin.