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. You will explore different 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. In the beginning you'll explore fundamental concepts across mathematical modelling and programming, before diving into more advanced topics in data wrangling, machine learning, natural language and speech processing, robotics and AI. You’ll also 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, culminate your knowledge in your final year through completion of an honours research project.
Read MoreKey dates
Direct applications to Deakin for Trimester 1 2025 close 16 February 2025
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Course information
- Award granted
- Bachelor of Artificial Intelligence (Honours)
- Year
2025 course information
- VTAC code
- 1400511611 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
1400611611 - Online, Commonwealth Supported Place (HECS) - Deakin code
- S408
- CRICOS code?
- 111442F Burwood (Melbourne)
- Level
- Undergraduate
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8
Course structure
To qualify for the award of Bachelor of Artificial Intelligence (Honours) students must pass 32 credit points comprising:
- DAI001 Academic Integrity and Respect at Deakin (0-credit point compulsory unit)
- SIT010 Safety Induction Program (0-credit point compulsory unit)
- STP010 Career Tools for Employability (0-credit point compulsory unit)
- 17 credit points of core units
- 3 credit points artificial intelligence capstone units
- 4 credit points artificial intelligence research training capstone units
- and one of:
- two minors (totalling 8 credit points) OR
- one minor (totalling 4 credit points), and four open elective units (4 credit points)
- maximum of 10 credit points at level 1
- minimum of 14 credit points over levels 2 and 3
- minimum of 6 credit points at level 3
- minimum 4 credit points of postgraduate units -level 7
Students are required to meet the University's academic progress and conduct requirements.
17
Core units
7
Capstone units
8
Minor/Elective units
32
Total
Core
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 2 - Trimester 1
Plus 1 minor or open elective unit (1 credit point)
Year 2 - Trimester 2
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 1
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 2
Plus 1 minor or open elective unit (1 credit point)
Plus 2 credit points from the following capstone options:
OR
Year 4 - Trimester 1
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:
OR
^ 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.
Minor sequences
Refer to the details of each minor sequence for availability.
- Cloud Technologies
- Cyber Security
- Cyber Security Analytics
- Embedded Systems
- Finance
- Full Stack Development
- Health Analytics
- Human Resource Management
- Marketing
- Retail Management
- Security Management
- Sport Analytics
- Sustainability and Environmental Science
- Virtual and Augmented Reality
- Information Technologies Research
Intakes by location
The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.
Trimester 1 - March
- Start date: March
- Available at:
- Burwood (Melbourne)
- Online
Trimester 2 - July
- Start date: July
- Available at:
- Burwood (Melbourne)
- Online
Deakin splits the academic year into three terms, known as trimesters. Most students usually undertake two trimesters each year (March-June, July-November).
Equipment requirements
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a laptop or desktop computer. 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
Alternative exit
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing 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.
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.
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.
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.
Entry requirements
Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.
If you don't meet the academic entry requirements as outlined in the tabs below, or haven't completed Year 12, or don't hold any relevant qualifications, the STAT (Skills for Tertiary Admissions Test) Multiple Choice (MC) may be an option for you to meet course entry requirements.
Academic requirements
Current or recent secondary education
If you're currently studying Year 12, or completed Year 12 in the last two years, you will need to meet all the following criteria to be considered for admission to this degree:
Year 12 prerequisite subjects
- Units 3 and 4: a study score of at least 25 in English EAL (English as an Additional Language) or at least 20 in English other than EAL
- Units 3 and 4: a study score of at least 20 in one of Maths: Mathematical Methods or Maths: Specialist Mathematics or Maths: General Mathematics
ATAR
- Senior Secondary Certificate of Education with an unadjusted ATAR of at least 50 or equivalent
Higher education
If you have undertaken higher education studies after secondary schooling, you will need to meet all the following criteria to be considered for admission to this degree:
- successful completion of at least two bachelor level or above units (AQF Level 7 or equivalent) with a minimum WAM of 70 or equivalent
- evidence of mathematical ability (equivalent to that of the Year 12 maths prerequisite).
Vocational education
If you have undertaken any Vocational Education and Training (VET) study after secondary school, you will need to meet at least one of following criteria to be considered for admission to this degree:
- completion of a certificate IV or higher in a related discipline
- completion of a diploma or higher in any discipline
- at least 50% completion of a diploma or higher in a related discipline
You will also require evidence of mathematical ability (equivalent to that of the Year 12 maths prerequisite).
Work and life experience
If you finished Year 12 more than three years ago, or did not finish Year 12, and haven't undertaken any further study, you may be considered for admission to this degree based on your work, volunteer and/or life experience.
Submit a personal statement outlining your motivation to study, previous education and employment history, and how this course can assist your career aspirations or progression. Think of it as a job application cover letter - it should be relevant and demonstrate your commitment and interest in this course or study area.
You will also require evidence of mathematical ability (equivalent to that of the Year 12 maths prerequisite).
English language proficiency requirements
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:
- Victorian Certificate of Education (VCE) English Units 3 and 4: Study score of 25 in English as an Additional Language (EAL) or 20 in any other English
- IELTS overall score of 6.0 (with no band score less than 6.0) or equivalent
- other evidence of English language proficiency (learn more about other ways to satisfy the requirements)
Selection adjustments
Subject adjustment
A study score of 30 in any English, any Information Technology or any Mathematics equals 2 aggregate points per study. Overall maximum of 10 points.
Special entry access schemes (SEAS) enable Deakin to consider disadvantaged circumstances you may have experienced and the impact upon your studies. SEAS also allows us to identify if you’re from under-represented groups when making selection decisions for some courses. SEAS does not exempt you from meeting any of the course entry requirements. Learn more about Deakin’s special entry access schemes.
Admissions information
Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning. We're also committed to admissions transparency. Read about our first intake of 2024 students (PDF, 793KB) – their average ATARs, whether they had any previous higher education experience and more.
Not sure if you can get into Deakin? Discover the different entry pathways we offer and study options available to you, no matter your ATAR or education history.
Recognition of prior learning
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.
You can also refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Fee information
Learn more about fees.
The tuition fees you pay will depend on the units you choose, as each unit has its own cost. The 'Estimated tuition fee' is provided as a guide only and represents the typical first-year tuition fees for students enrolled in this course. The cost will vary depending on the units you choose, your study load, the time it takes to complete your course and any approved Recognition of prior learning you have.
Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together 8 credit points of a typical combination of units for this course. Eight credit points is used as it represents a typical full-time enrolment load for a year. You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.
Learn more about fees and available payment options on our Current students fees website.
Scholarship options
A Deakin scholarship could help you pay for your course fees, living costs and study materials. If you've got something special to offer Deakin - or maybe you just need a bit of extra support - we've got a scholarship opportunity for you. Search or browse through our scholarships
Apply now
Applications for Trimester 1, 2025 are open. We've helped over 300,000 Deakin graduates across Australia and throughout the world apply with confidence. In Year 12? Follow these how to apply steps. Completed secondary education in or prior to 2021? Follow these how to apply steps.
To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.
Pathways
View pathways into the Bachelor of Artificial Intelligence (Honours) with our pathways finder.
Further study options
A Bachelor of Artificial Intelligence (Honours) may also provide you with the opportunity to pursue a research pathway to Higher Degree by Research.
Contact information
Our friendly advisers are available to speak to you one-on-one about your study options, support services and how we can help you further your career.
- Call us: 1800 693 888 Monday – Friday, 9am–5pm
- Live Chat: Monday - Friday
- Submit an online enquiry
- Help hub find common and trending questions and answers
Careers
Career outcomes
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. The increasing integration of AI into business practices enhances automation and operating efficiencies such that skilled professionals in this emerging field of IT are highly sought-after across the globe.
As a graduate, you will have a highly specialised skill set that enables you to push boundaries. You may find employment in roles such as a data engineer/scientist, data analyst, AI technology engineer, AI ethicist, or an 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 artificial intelligence. You will also be well positioned to pursue further study including a masters by research or PhD.
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 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. |