Deakin sets the standard for employability
#1 Victorian university for course satisfaction
Top 3 Victorian university for AI
Why choose artificial intelligence at Deakin
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 at a top three university in Victoria for artificial intelligence, where you will build intelligent AI-driven software solutions that go beyond software to include systems, products, and technologies shaping the future with the support of academics who are leaders in this emerging field.
Our world-class research in AI feeds directly into our state-of-the-art facilities, giving you access to fully equipped computer labs with the latest software and technologies. This ensures what you learn is at the cutting edge of industry expectations and capabilities.
As a graduate, you will be ready to thrive in this booming field, equipped with the specialist knowledge to create and operate intelligent software solutions across a wide range of industries.
-
Degrees shaped by employers
The Bachelor of Artificial Intelligence is designed with industry input to reflect current AI tools, systems and ethical practices.
-
Work-integrated learning for every student
Apply your AI skills through professional experience placements or industry projects embedded in your degree.
-
Cutting-edge technical focus
Build expertise in machine learning, data science and intelligent systems using our state-of-the-art facilities to solve complex industry problems.
-
Unbeatable employability
Not all degrees come with career-ready experience. Ours do. Build the practical skills and confidence to enter the workforce ready to succeed.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Graduate ready to thrive in the booming field of artificial intelligence, equipped with the technical, analytical and ethical skills to design intelligent solutions across a wide range of industries.
AI and machine learning specialist
Develop intelligent systems that learn from data to solve complex problems. You will design, train and optimise machine learning models that power products, services and technologies across a wide range of industries.
- #3
Fastest-growing job globally
- #1
Fastest-growing skills globally
Data engineer
Design, build and maintain the data platforms and pipelines that power AI systems and analytics. Data engineers create the infrastructure that enables organisations to collect, manage and use data at scale.
- $135k
Typical annual salary in Australia
- 4.2/5
Job satisfaction
Other jobs
- Data analyst
- Data scientist
- AI engineer
- AI ethicist
- AI architect
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
VTAC
FAQs
Yes – every Deakin student can access work-integrated learning (WIL) in their degree. Each year, more than 30,000+ students complete a placement or internship with partners including Microsoft, KPMG, EY and the National Australia Bank. You can access WIL through placements, industry projects, field-based experiences, simulations and global programs, helping you apply your skills and graduate with the experience and confidence employers value.
DeakinTALENT is Deakin's award-winning career service, and you can access it for life – not just while you're studying. From personalised career coaching sessions and AI-enhanced resume support to a jobs and internships board with employment opportunities, it’s designed to give you the career management skills and connections you need to stand out. Every Deakin degree is built with input from employers, so your course is designed around real workplace needs, now and into the future.
Entry requirements and the minimum ATAR vary by degree and are detailed on the degree page, but if your ATAR is below the cut-off, you still have options. Use the pathway finder tool to find the opportunities available to you, including associate degrees and Deakin Guaranteed ATAR, which offers eligible students a guaranteed entry score that's on average 10 points below the lowest selection rank. If you don't have an ATAR, Deakin Uni Ready is a free, supported program designed to build your skills and confidence and open doors to degrees in arts, health, science and business. Access programs and equity schemes are also available.
At Deakin, employability isn't an add-on – it's built in. Our degrees are designed with industry input, so your skills are aligned to what employers actually need. Every Deakin student can access work-integrated learning through opportunities such as placements, internships and industry projects, helping you build your professional network and practical experience before you even graduate. It's an approach that works: nine out of 10 Deakin graduates get a job within four to six months of finishing their degree.
Yes. Most eligible undergraduate students are offered a Commonwealth Supported Place meaning the government subsidises part of your tuition fees. If eligible, you can pay your student contribution using a HECS-HELP loan that you only start repaying once your income is above the repayment threshold. Deakin has scholarships that cater to our diverse student community, ranging from $5,000 per year for high ATAR achievers to $10,000 per year for students facing financial or personal hardship. The University also offers support services including financial counselling, budgeting help and access to short-term, interest-free loans to help you stay on track.
Deakin is the #1 Victorian university for student support and that starts the moment you accept your offer. Orientation is designed to help you feel welcome and get to know your community of classmates and teachers from day one. Across all campuses, there's a vibrant student community with clubs, events and opportunities to build real friendships. Deakin offers a range of services to help students stay healthy and safe, including sport and fitness facilities, free counselling, on-campus medical services and around-the-clock security.
Yes, and it's straightforward. You can transfer to Deakin in a few steps and apply for credit through recognition of prior learning (RPL), so you won't necessarily repeat subjects you've already completed. If you're coming from a TAFE partner, you may get guaranteed entry into second year with guaranteed RPL. Deakin's three-trimester system also means you may be able to start mid-year rather than waiting until March.
Most Deakin courses run across three trimesters per year instead of the traditional two semesters. Trimester 1 begins around March, Trimester 2 around July and Trimester 3 around November, each with roughly 12 weeks of teaching followed by an exam period. This means you can usually start your degree at three different points in the year and have more flexibility to manage your study load. Check the intakes by location section on the course page for details.
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
+Some courses have limited places, apply early to avoid missing out.
What will I study in the Bachelor of Artificial Intelligence?
This degree focuses on core computing foundations before progressing to advanced AI design and application. You will develop the technical depth and ethical awareness needed to create intelligent systems that work in the real world.
Core foundation
Programming and problem solving
Develop confidence in writing code and structuring logical solutions to complex problems. You will learn how algorithms translate ideas into working systems.
Mathematical foundations for AI
Strengthen your skills in areas such as discrete mathematics, statistics and linear algebra that support machine learning and data-driven reasoning.
Computing systems essentials
Explore how software, data and computer systems interact, giving you the technical grounding to understand how intelligent applications are built and deployed.
Choose your electives
Machine learning principles
Study how systems learn from data, including supervised and unsupervised approaches. Examine how models are trained, tested and refined.
Data and representation
Learn how information is structured, processed and interpreted so machines can recognise patterns, language and images.
Ethics and responsible AI
Consider the social and ethical implications of intelligent technologies, building the judgement needed to design fair and accountable systems.
Consolidate and graduate
Advanced intelligent systems
Work with contemporary AI techniques such as deep learning, natural language processing, large language models and optimisation to solve open-ended challenges.
Industry or project experience
Undertake a substantial project or work-integrated learning experience that reflects professional AI practice.
Professional readiness
Strengthen teamwork, communication and project management skills so you graduate industry-ready.
Course structure
To complete the Bachelor of Artificial Intelligence, you must pass 24 credit points.
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
You are required to complete 17 core units plus three credit points of capstone units (these are essential units for this degree).
In your first trimester you must also complete two 0-credit point units which are compulsory for this degree.
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.
Refer to the details of each minor sequence for availability.
You can choose four open elective units from within the faculty or other disciplines across the University (subject to meeting unit prerequisites).
It is important to note that some elective units may include compulsory placement, study tours, work-based training or collaborative research training arrangements.
Alternatively, these electives may be used to complete a minor sequence.
Professional recognition
The Bachelor of Artificial Intelligence 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.
What to expect while studying
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.
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.
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 checks.
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.
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.
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.
At Deakin, we're committed to ensuring an inclusive environment that supports all students to belong, thrive and succeed. We work closely with students, where needed, to identify potential barriers to participation and where possible, provide tailored support so students can engage with learning and assessment activities.
If you are neurodivergent, have a disability, health condition or mental health condition that may impact your study or participation in university life, and want to know how Deakin could support you, contact our Domestic students (opens in a new window) or International students (opens in a new window) or Disability Resource Centre (opens email client) teams for a collaborative and confidential discussion. This discussion is to support you to make plans for your studies and future career and will not have any bearing on your application to the course.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
|---|
| 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. |
| 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. |
| Use digital technologies, platforms, frameworks and tools from the field of artificial intelligence to generate, manage, process and share digital resources and solutions. |
| Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with the field of artificial intelligence. |
| 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. |
| 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. |
| 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. |
| Apply professional and ethical standards and accountability in the field of artificial intelligence and engage openly and respectfully with diverse communities and cultures. |
- Award granted
- Bachelor of Artificial Intelligence
- Year
2027 course information
- VTAC code
1400510621 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
1400610621 - Online, Commonwealth Supported Place (HECS)- Deakin code
- S308
- Level
- Undergraduate
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7
Fees
Estimated tuition fee
$8,784
for 1 yr full-time - Commonwealth Supported Place (CSP)
The estimated tuition (student contribution) fee above is based on a typical first-year full-time enrolment of 8 credit points and is provided as a guide only. Your student contribution is determined by the units you enrol in and will vary depending on the units you choose, your study load, the course duration, and any approved recognition of prior learning. You may also be eligible for a HECS-HELP loan to defer payment of all or part of your student contribution.
Check your eligibility or learn more about CSP or HECS-HELP.
Scholarships
We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you'll have more freedom to focus on what matters most – your education and future success.
Applications for 2027 are open
Ready to take the next step? Apply now to start your journey at Deakin and get ready for what’s next.
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
VTAC
Apply now
Apply direct
Simply create an account in the Deakin Application Portal, enter your personal and educational details, upload your supporting documents and submit your application.
Apply through VTAC
Applications are open. Apply through VTAC if you're:
- currently in Year 12 and applying for Trimester 1 or Semester 1
- applying for multiple undergraduate courses
Need help? Follow our step-by-step undergraduate guide to prepare and submit your application.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.
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.
Not sure if you'll meet entry requirements?
Deakin offers a range of pathways into the Bachelor of Artificial Intelligence to suit your background and goals. Explore the pathways finder to see how previous study, diplomas or alternative qualifications can lead you into the course.