Bachelor of Artificial Intelligence

Undergraduate degree

Gain the skills necessary to design, develop, and evolve software solutions that takes advantage of the latest advances in artificial intelligence.


67.25 ATAR lowest selection rank ?

Student access and equity

62 Deakin guaranteed ATAR ?

Check if you are eligible and how to apply

3 years full-time or part-time equivalent


NP ATAR lowest selection rank ?

Student access and equity

62 Deakin guaranteed ATAR ?

Check if you are eligible and how to apply

3 years full-time or part-time equivalent

Course overview

Deakin’s Bachelor of Artificial Intelligence equips you with the knowledge and skills to design, develop and evolve software 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 to ensure you graduate with the specialist skills to design and build the intelligent systems of the future. You will also have opportunities to obtain certificates from the training program for Microsoft Azure AI.

With a minimum of 100 hours of industry experience, you will develop in-demand skills working side-by-side with experienced AI specialists.

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 spend 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 have created 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'll be well-equipped to work on the design, development and operation of AI-driven software solutions.

Read More

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

2024 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
CRICOS code?
0100304 Burwood (Melbourne)
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:

  • seventeen (17) credit points of core units
  • 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)
  • three (3) credit points of artificial intelligence capstone units
  • four (4) credit points of open elective units or a minor sequence (4 credit points).
  • six (6) credit points at level 3.

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


Core units


Capstone units


Minor/Elective units




Year 1 - Trimester 1

  • Academic Integrity Module (0 credit points)
  • Safety Induction Program (0 credit points)
  • Career Tools for Employability (0 credit points)
  • Introduction to Programming
  • Discrete Mathematics
  • Computer Systems
  • Introduction to Data Science and Artificial Intelligence
  • Year 1 - Trimester 2

  • Object-Oriented Development
  • Database Fundamentals
  • Computer Networks and Communication
  • Introduction to Mathematical Modelling
  • Year 2 - Trimester 1

  • Data Structures and Algorithms
  • Computational Intelligence
  • Data Wrangling
  • Plus one (1) minor or open elective unit (one (1) credit point)

    Year 2 - Trimester 2

  • Machine Learning
  • Professional Practice in Information Technology #
  • Linear Algebra for Data Analysis
  • Plus one (1) minor or open elective unit (one (1) credit point)

    # Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit)

    Year 3 - Trimester 1

  • Deep Learning
  • Natural Language Processing
  • Plus one (1) minor or open elective unit (one (1) credit point)

    Plus one (1) credit point from the following capstone options:

  • Team Project (A) - Project Management and Practices ^~ OR
  • One (1) SIT elective unit

    Year 3 - Trimester 2

  • Robotics, Computer Vision and Speech Processing
  • Plus one (1) minor or open elective unit (one (1) credit point)

    Plus two (2) credit points from the following capstone options:

  • Team Project (B) - Execution and Delivery ^ and
  • IT Placements and Industry Experience ^+
  • OR

  • Professional Practice (2 credit points) ^+
  • ^ 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 IT.

    ~ Note: Students are recommended to undertake SIT374 and SIT378 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT374 and SIT378 consecutively.


    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

    For information regarding hardware and software requirements, please refer to the School of Information Technology.

    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.


    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 where you will be required to undertake a minimum of 100 hours in industry, providing professional work experience with an approved host organisation. Alternatively, high achieving students may have the opportunity to undertake an extended full-time paid industry-based learning placement (conditions apply).

    Elective units may also provide additional opportunities for Work Integrated Learning experiences.

    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.

    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


    • 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 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

    Estimated tuition fee - (CSP)?
    $7,823 for 1 yr full-time - Commonwealth Supported Place (HECS)
    Learn more about fees.

    The tuition fees you pay will depend on the units you choose to study as each unit has its own costs. The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students undertaking the first year of 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 that 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

    Apply through VTAC

    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.

    Apply direct to Deakin

    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.

    Graduates of the Bachelor of Artificial Intelligence will be able to progress to further studies in the Master of Applied Artificial Intelligence, the Master of Data Science or pursue research higher degrees after enrolling in the Bachelor of Information Technology (Honours).

    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.


    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 have the specialist knowledge and be equipped 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 scientist, data analyst, AI technology software 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.


    Prepare different types of technical and user-oriented documentation using adequate structure, terminology and context.

    Convey information in a clear, concise and coherent manner using appropriate oral communication techniques and skills.

    Represent ideas using IT codes, conventions, modelling languages, and standards to reflect on artificial intelligence ideas and processes in an effective manner.

    Apply interpersonal skills to proactively assist, contribute to ideas, respect opinions and value contribution made by others when working collaboratively.

    Digital literacy

    Identify, select and use digital technologies and tools to generate, manage and share digital resources associated with artificial intelligence concepts and solutions.

    Independently and systematically locate information, evaluate its reliability, and use the information for design and problem solving.

    Identify appropriate practices and processes to ensure the security, integrity, safety and availability of digital resources.

    Critical thinking

    In assessing artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems, and proposals to identify basic statements.

    In assessing artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected.

    In assessing artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid.

    Problem solving

    Apply technical skills, knowledge and techniques to identify and define problems utilising artificial intelligence in a variety of contexts.

    Apply technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design artificial intelligence solutions.

    Apply technical skills and knowledge to develop creative approaches and/or solutions in planning, designing, managing, evaluating and executing artificial intelligence projects.


    Evaluate own knowledge and skills using frameworks of reflection and use that self-awareness to target professional goals.

    Recognise the need, and engage in, independent learning for continual development as a computing professional.

    Work under general direction, engaging in the feedback process independently to ensure outcomes are achieved.


    Contribute knowledge and skills of artificial intelligence when working within a team, demonstrating responsibility and accountability.

    Engage consistently and professionally in groupware to contribute knowledge and skills of artificial intelligence to achieve shared team objectives and outcomes.

    Apply strategies to support positive group dynamics and to function effectively as a team member.

    Global citizenship

    Apply professional ethics, responsibilities, and norms of professional computing practice.

    Demonstrate awareness of regulation and ethical implications of acquisition, use, disclosure and eventual disposal of information.

    Engage with societal, health, safety, legal, and cultural issues to identify consequential responsibilities relevant to artificial intelligence in practice.

    Approved by Faculty Board 2 June 2022