Course overview
Deakin’s Bachelor of Artificial Intelligence equips you with the knowledge and skills to design, develop and evolve computational solutions that harness the latest advances in artificial intelligence (AI). Get hands-on experience developing AI-driven software solutions with the support of academics who are leaders in this emerging field. Our world-class research in AI feeds directly into our classrooms, ensuring what you learn is at the cutting edge of industry expectations and capabilities.
You will have access to fully equipped computer labs with the latest software and technologies, ensuring you graduate with the specialist skills to design and build the intelligent systems of the future. Develop in-demand skills by working alongside experienced AI specialists during a professional work placement. You will also have opportunities to obtain certificates from the training program for Microsoft Azure AI.
Want the skills to build intelligent machines and software that power our future?
AI is driving digital disruption, with new technology redefining many industries. Businesses are looking to take advantage of recent advances in AI, creating a large demand for skilled professionals.
AI offers you an exciting future, as a growing number of industries are spending time and money improving what they do through learned behaviour and operating efficiencies. This is just the beginning; many more challenging, real-world problems remain to be solved.
The rise of intelligent systems, such as self-driving cars and smart digital assistants, has created a high demand for skilled AI professionals to develop and implement them. The number of jobs emerging in the AI space is increasing each year and will enable productivity increases for most industries across the globe.
As an artificial intelligence specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your expert knowledge to ensure AI is appropriately integrated into software solutions.
As a graduate, you will be well-equipped to work on the design, development and operation of AI-driven software solutions.
Read MoreCurrent 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
- Year
2025 course information
- VTAC code
- 1400510621 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
1400610621 - Online, Commonwealth Supported Place (HECS)
9190110392 - Burwood (Melbourne), Commonwealth Supported Place (HECS) - Deakin code
- S308
- CRICOS code?
- 0100304 Burwood (Melbourne)
- Level
- Undergraduate
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7
Course structure
To complete the Bachelor of Artificial Intelligence, students must attain 24 credit points, which must include the following:
- DAI001 Academic Integrity Module (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 of artificial intelligence capstone units
- 4 credit points of open elective units or a minor sequence (4 credit points)
- maximum of 10 credit points at level 1
- minimum of 6 credit points at level 3.
Students are required to meet the University's academic progress and conduct requirements.
17
Core units
3
Capstone units
4
Minor/Elective units
24
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
# Corequisite of STP010 Career Tools for Employability (0- credit point compulsory unit)
^ 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.
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 open 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.
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).
Additional course information
Student equipment purchases
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a 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.
Course duration
Course duration may be affected by delays in completing course requirements, such as accessing or completing work 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
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 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)
- 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
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.
Access and equity
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.
The Faculty may grant credit towards a Bachelor of Information Technology for previous tertiary study and other approved forms of post-secondary study or experience. This previous study need not have led to a complete qualification; for example, a student may be given credit after completing the first year of a course in another faculty or at another institution. This credit is called Recognition of prior learning. All applications for Recognition of prior learning must be made initially to the Selection Officer who will advise students of the necessary procedures.
All applications are considered on merit and usually no credit will be given for subjects/courses/units completed more than seven years prior to the request. For the Bachelor of Information Technology, the maximum Recognition of prior learning that can be granted is 16 credit points. This may include credit for non-computing studies.
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 open in August. Each year, thousands of students prepare for uni with the help of Deakin support services. We offer a huge range of support, including one-on-one consultations, webinars, online resources and events throughout the year.
Some of our courses have limited places available - to browse those still open for application, visit courses by trimester.
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.
Entry pathways
View pathways into the Bachelor of Artificial Intelligence with our pathways finder.
Further study options
High performing graduates can continue on to an Honours year of study, which can be completed in two full-time trimesters, or equivalent part-time study. Graduates who gain high outcomes in the Honours year can then continue on to a higher degree by research, either within the School of Information Technology, or in others Schools within the Faculty or other Universities. Graduates can also progress to postgraduate coursework programs offered.
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
AI offers an exciting future for students as more industries invest in improving what they do through learned behaviour and operating efficiencies. However, this is the tip of the iceberg and many more challenging real-world problems remain to be solved.
Graduates will be equipped with the specialist knowledge to work on the design, development and operation of software solutions involving AI, across a broad range of industry sectors. 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.
Professional recognition
The Bachelor of Artificial Intelligence is professionally accredited with the Australian Computer Society (ACS).
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 broad, coherent knowledge of the discipline of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of key AI algorithms. Design, develop and implement software solutions that incorporate artificial intelligence Apply knowledge of artificial intelligence to the research and evaluation of AI solutions and provision of specialist advice. |
| Communication | Communicate in a professional context 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 | Use digital technologies, platforms, frameworks and tools from the field of artificial intelligence to generate, manage, process and share digital resources and solutions. |
| Critical thinking | Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with the field of artificial intelligence. |
| Problem solving | Apply cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, and operate solutions to real-world and ill-defined computing problems. |
| Self-management | Work independently to apply knowledge and skills to new situations in 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 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 the field of artificial intelligence and engage openly and respectfully with diverse communities and cultures. |
Events Explore more events
