Bachelor of Artificial Intelligence

Course summary for international students

Year	2026 course information
Award granted	Bachelor of Artificial Intelligence
Campus	Offered at Burwood (Melbourne), Online
Length	3 years full-time
Fee paying annual fee - commencing 2026	$42,000 for 1 yr full-time AUD
CRICOS code	0100304 Burwood (Melbourne)
Level	Undergraduate
VTAC codes	1400510623 - Burwood (Melbourne), International full-fee paying place
Deakin course code	S308
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7

Course sub-headings

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. 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 boost productivity for most industries across the globe.

Choose the #1 Victorian university for graduate employment and confidently work alongside software engineers, data scientists, application developers and business analysts - applying your expert knowledge to ensure AI is appropriately integrated into software solutions.

This course focuses on developing skills in data science, data engineering and machine learning. As a graduate, you will be well-equipped to work on the design, development and operation of AI-driven software solutions.

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.

Fees and charges

The tuition fees you pay are determined by the course you are enrolled in. 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 length of 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 eight 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 international student fees.

Career opportunities

AI offers an exciting future for students, with industries increasingly investing in learned behaviour and operational efficiency. However, this is the tip of the iceberg, and many more challenging real-world problems remain to be solved.

According to the World Economic Forum’s ‘Future of Jobs Report 2025’, AI and machine learning specialists are among the top five fastest-growing jobs worldwide. As a graduate, you’ll be ready to thrive in this booming field, equipped with the specialist knowledge to design, develop and operate AI-driven software solutions across a wide range of industries. You may find employment as a data engineer, data scientist, data analyst, AI engineer, AI ethicist or AI architect, to name a few.

Course learning outcomes

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.

Course rules

To complete the Bachelor of Artificial Intelligence, you must pass 24 credit points. This includes:

DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their your 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 - one of:
- 4 credit points of open elective units
- 1 minor (4 credit points)
a maximum of 10 credit points at level 1
a minimum of 6 credit points at level 3.

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.

All students are required to meet the University's academic progress and conduct requirements.

Minors

Refer to the details of each minor sequence for availability.

Course structure

Core units

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)

SIT344

Professional Practice (2 credit points) ^+ (capstone)

# 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.

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.

Admission criteria

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.

A combination of qualifications and experience may be deemed equivalent to minimum academic requirements.

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

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

Academic requirements - Higher education study

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)

Academic requirements - VET study

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

Academic requirements - 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)

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 2026 students (PDF, 879KB) – 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.

Credit for prior learning - general

If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of prior learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of prior learning.
Your Recognition of prior learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.

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.

Articulated courses

Bachelor of Information Technology (Honours) (S470)

Further study

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 other Schools within the Faculty or other Universities. Graduates can also progress to postgraduate coursework programs offered.

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.

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.

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.

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.

Selection adjustment

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

Equity schemes and scholarships, formerly known as Special Entry Access Schemes (SEAS), enable Deakin to consider any disadvantaged circumstances you may have experienced and how these have impacted your studies. Equity schemes help us identify whether you are from an under-represented group when making selection decisions for certain courses. It's important to note that participation in an equity scheme does not exempt you from meeting the standard course entry requirements. Learn more about Deakin's equity schemes and scholarships.