Bachelor of Artificial Intelligence

Undergraduate degree

The Bachelor of Artificial Intelligence will equip you with the knowledge and skills necessary to design, develop, and evolve software solutions that takes advantage of the latest advances in artificial intelligence.

Progressive, real-world learning. Online.

40 years of distance and online teaching excellence

#1 university in Australia for educational experience*

Connect with 60,000+ online students

Top 1% of universities worldwide#

Australia's top-rated tech support~

#1 university careers service in Australia^

78,000+ high-achieving online graduates

#1 university in Victoria for student satisfaction^^

Key facts

ATAR

Burwood:
65.3
Cloud:
NP?
Lowest selection rank

Duration

3 years full-time or part-time equivalent

Key dates

Direct applications to Deakin for Trimester 1 2021 close 21 February 2021
Very late VTAC entry closes 4 December 2020 at 5pm. View other VTAC dates

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course information

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 state-of-the-art facilities and fully equipped computer labs, with the latest software and technologies to ensure you graduate with the specialist knowledge to design and build the intelligent machines and software of our future.

To further enhance your industry readiness, a minimum of 100 hours of professional experience will allow you to work 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 more industries spend time and money on improving what they do through learned behaviour and operating efficiencies. This is just the tip of the iceberg however, and many more challenging, real-world problems remain to be solved.

Intelligent systems such as driverless cars and smart digital assistants create 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’ll work alongside software engineers, data scientists, application developers and business analysts, applying your expert knowledge to ensure artificial intelligence is appropriately integrated into software solutions.

As a graduate, you’ll be well-equipped to work on the design, development and operation of software solutions involving AI.

Read More

Course structure

To complete the Bachelor of Artificial Intelligence, students must attain 24 credit points.

The course comprises a total of 24 credit points, which must include the following:

  • 20 core units (totalling 20 credit points)
  • 4 credit points of elective units
  • level 1 - maximum of 10 credit points
  • levels 2 and 3 - minimum of 14 credit points over both levels
  • completion of STP050 Academic Integrity (0-credit point compulsory unit)
  • completion of SIT010 Safety Induction Program (0-credit point compulsory unit)
  • completion of STP010 Career Tools for Employability (0-credit point compulsory unit)

Students are required to meet the University's academic progress and conduct requirements. Click here for more information.

Core

Year 1 -  Trimester 1

  • Academic Integrity (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 Artificial Intelligence
  • Year 1 -  Trimester 2

  • Object-Oriented Development
  • Data and Information Management
  • Secure Networking
  • Introduction to Mathematical Modelling
  • Year 2 -  Trimester 1

  • Data Structures and Algorithms
  • Artificial and Computational Intelligence
  • Plus two elective units (two credit points)

    Year 2 -  Trimester 2

  • Concurrent and Distributed Programming
  • Professional Practice in Information Technology #
  • Linear Algebra for Data Analysis
  • Plus one elective unit (one credit point)

    Year 3 -  Trimester 1

  • Team Project (A) - Project Management and Practices ~
  • Data Mining and Machine Learning
  • Advanced Topics in Artificial Intelligence ^
  • Plus one elective unit (one credit point)

    Year 3 -  Trimester 2

  • Team Project (B) - Execution and Delivery
  • Optimisation and Constraint Programming
  • Software Architecture and Scalability for Internet-Of-Things
  • Plus

  • IT Placement #
  • OR 

  • Industry Based Learning #
  • ^ available from 2022

    # Must have completed STP010 Introduction to Work Placements (0-credit point unit)

    ~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

    Electives

    Select from a range of elective units offered across many courses. In some cases 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.

    Key information

    Award granted
    Bachelor of Artificial Intelligence
    Year

    2021 course information

    VTAC code
    1400510621 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
    1400610621 - Cloud (online), Commonwealth Supported Place (HECS)
    Deakin code
    S308
    CRICOS code?
    0100304
    Level
    Undergraduate
    Approval status

    This course is approved by the University under the Higher Education Standards Framework.

    Australian Qualifications Framework (AQF) recognition

    The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7.

    Campuses by intake

    Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.

    Trimester 1 - March

    • Start date: March
    • Available at:
      • Burwood (Melbourne)
      • Cloud Campus

    Trimester 2 - July

    • Start date: July
    • Available at:
      • Burwood (Melbourne)
      • Cloud Campus

    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's website, www.deakin.edu.au/information-technology/students or telephone 03 9244 6699.

    Course duration - additional information

    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

    The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7.

    Participation requirements

    Placement can occur at any time, including during the standard holiday breaks listed here: https://www.deakin.edu.au/courses/key-dates.

    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. Click here for more information.

    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 between 6 – 12 weeks (conditions apply, please refer to deakin.edu.au/sebe/wil.)

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

    Need help?

    Ask a question about studying at Deakin

    Contact us

    Entry requirements

    Current or recent Year 12

    If you are currently studying Year 12 in 2020 or completed Year 12 in 2018 or 2019 and have not attempted higher education or VET study since, your selection is based on the following.

    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.

    ATAR

    This course uses the ATAR as part of its selection consideration

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    Higher education experience

    If you have undertaken at least one unit of higher education after secondary schooling, your selection is based on the following.

    Education

    This course uses your entire academic record as part of its selection considerations.

    Senior secondary 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 equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    VET education experience

    If you have undertaken at least one unit of Vocational Education and Training (VET) study after secondary school, your selection is based on the following.

    Education

    This course uses your secondary education and subsequent academic records as part of its selection considerations.

    Senior secondary 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 equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    Work and life experience

    If you finished Year 12 more than three years ago or did not finish Year 12, your selection is based on the following.

    Education

    This course uses your entire academic record as part of its selection considerations.

    Senior secondary 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 equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    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 this course and others that Deakin offers by visiting VTAC for more information. You can also discover how Deakin compares to other universities when it comes to the quality of our teaching and learning by visiting the ComparED website.

    Special entry access schemes (SEAS) enables Deakin to consider disadvantageous circumstances you may have experienced and their 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.

    You can also find out about different entry pathways into Deakin courses if you can't get in straight from high school.

    Finally, Deakin is committed to admissions transparency. As part of that commitment, you can learn more about our first intake of 2020 students (PDF, 581.6KB) - their average ATARs, whether they had any previous higher education experience and more.

    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 - full-fee paying place
    The estimated tuition fee for this course is not currently available due to pending Government legislation.
    Learn more about fees and your options for paying.
    Estimated tuition fee - (CSP)?
    The estimated tuition fee for this course is not currently available due to pending Government legislation.
    Learn more about fees.

    The estimated tuition fee for Commonwealth supported places (CSP) is not currently available due to the Job-ready Graduates Package – higher education reforms recently announced by the Australian Government.

    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.

    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

    How to apply

    Apply through VTAC

    VTAC applications are now open for:

    • current Year 12 students.

    Apply to VTAC after reading the course entry requirements, or learn more about the application process.

    Apply direct to Deakin

    Direct applications are now open for:

    • recent Year 12 students who completed secondary education in the past two years
    • applicants with work and life experience
    • applicants with TAFE experience
    • applicants with higher education experience.
    • Please note: If you’re applying for more than one course, you need to apply through VTAC.

      Apply to Deakin after reading the course entry requirements, or learn more about the application process.

    Download the course flyer

    To learn more about what the Bachelor of Artificial Intelligence at Deakin has to offer, download our course flyer.

    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

    Faculty of Science, Engineering and Built Environment
    School of Information Technology
    deakin.edu.au/information-technology

    Prospective student enquiries
    Are you looking to apply for this course or would like further information?
    Call 1800 693 888 or email us at myfuture@deakin.edu.au
    Enquire online

    Current student course and enrolment enquiries
    Call 03 9244 6699 or email us at sebe-enquire@deakin.edu.au
    Submit an online enquiry

    Why choose Deakin

    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 provisionally 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

    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.

    Self-management

    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.

    Teamwork

    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 27 June 2019

    Did you miss Deakin Virtual Open Day?

    Now you can experience Virtual Open Day anytime, online. Explore videos on-demand and learn more about courses and uni life at Deakin.+

    * 2019 Student Experience Survey, based on undergraduate students
    # ARWU Rankings 2020
    ~ According to the Voice Project IT Service Quality Support Benchmark Survey
    ^ Australian Graduate Recruitment Industry Awards, 2017, 2018, 2019 winner
    ^^ Australian Graduate Survey 2010–2015, Graduate Outcomes Survey 2016–2019 (GOS), Quality Indicators for Learning and Teaching (QILT)
    +Produced by Deakin University in August 2020. The information in this video is accurate at the time of filming. Read the course page for the latest information.