Bachelor of Artificial Intelligence

Undergraduate degree

Deakin's 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.

Key facts

ATAR

Burwood:
N/A?
Cloud:
N/A?
Lowest selection rank

Duration

3 years full-time or part-time equivalent

Current Deakin Students

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

Course information

Artificial intelligence is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in artificial intelligence, which is creating a large demand for skilled professionals.  Deakin’s Bachelor of Artificial Intelligence will equip you with the knowledge and skills necessary to design, develop, and evolve software solutions that take advantages of the latest advances in artificial intelligence.

As an artificial intelligence specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your specialist knowledge to ensure artificial intelligence is appropriately integrated into software solutions from a technical and human perspective.

You will gain hands-on experience in the development of software solutions and the use and development of artificial intelligence. Our world-leading research in artificial intelligence feed directly into our classrooms, meaning that you’ll be learning at the cutting edge of industry expectations and capabilities.

As a graduate you will be well-equipped to work on the design, development, and operation of software solutions involving artificial intelligence.

Units in the course may include assessment hurdle requirements.

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 STP050 (0 credit points)
  • Safety Induction Program SIT010 (0 credit points)
  • Career Tools for Employability STP010 (0 credit points)
  • Introduction to Programming SIT102
  • Discrete Mathematics SIT192
  • Algorithms and Computing Systems SIT111
  • Introduction to Artificial Intelligence SIT114
  • Year 1 -  Trimester 2

  • Object-Oriented Development SIT232
  • Data and Information Management SIT103
  • Networks and Communications SIT202
  • Introduction to Mathematical Modelling SIT194
  • Year 2 -  Trimester 1

  • Data Structures and Algorithms SIT221
  • Artificial and Computational Intelligence SIT215
  • Plus two elective units

    Year 2 -  Trimester 2

  • Programming Paradigms SIT315
  • Professional Practice in Information Technology SIT223
  • Linear Algebra for Data Analysis SIT292
  • Plus one elective unit

    Year 3 -  Trimester 1

  • Team Project (A) - Project Management and Practices SIT374 ~
  • Data Mining and Machine Learning SIT307
  • Advanced Topics in Artificial Intelligence SIT319 ^
  • Plus one elective unit

    Year 3 -  Trimester 2

  • Team Project (B) - Execution and Delivery SIT378
  • Optimisation and Constraint Programming SIT316
  • Software Architecture and Scalability for Internet-Of-Things SIT314
  • IT Placement SIT306
  • ^ available from 2022

    ~Note: Students are expected 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

    2020 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

    New course commencing Trimester 1 2020

    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.

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    Ask a question about studying a at Deakin

    Entry requirements

    Entry information

    Deakin University offers admission to undergraduate courses through a number of Admission categories.

    All applicants must meet the minimum English language requirements.

    Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.

    For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library

    Entry for applicants with recent secondary education (previous three years) will be based on their performance in a Senior Secondary Certificate of Education, with pre-requisite units 3 and 4; a study score of at least 25 in English EAL (English as an additional language) or 20 in English other than EAL, and a study score of at least 20 in one of Maths: Mathematical Methods (any) or Maths: Specialist Mathematics. Applicants will be selected in accordance with the published Australian Tertiary Admission Rank (ATAR) for that year.

    Refer to the VTAC Guide for the latest pre-requisite information www.vtac.edu.au

    Entry for applicants with previous Tertiary, VET, life or work experience: Prerequisites of English and mathematics as for year 12 school leavers (or equivalent). Entry will be based on their performance in:

    • a Certificate IV in a related discipline OR
    • a Diploma in any discipline or 50% completion of a Diploma in a related discipline OR
    • successful completion of relevant study at an accredited higher education institution equivalent to at least two Deakin University units OR
    • other evidence of academic capability judged to be equivalent for example relevant work or life experience.

    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 QILT website.

    Learn more about Deakin's special entry access scheme (SEAS - a way to help boost your ATAR in some circumstances).

    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 2018 students (PDF, 783.5KB) - 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 fee for this course is not currently available, please contact Student Central for further information.
    Learn more about fees and your options for paying.
    Estimated tuition fee - (CSP)?
    The estimated fee for this course is not currently available, please contact Student Central for further information.
    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.

    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

    Applications to VTAC are now open for recent secondary education graduates, including current Year 12 students. Learn about the steps involved and how to complete your preference list for study in 2020.


    Apply direct to Deakin

    Applications can be made directly to the University through the Course and Scholarship Applicant Portal.


    Need more information on how to apply?

    For more information on the application process and closing dates, visit the how to apply page.

    How to apply


    Register your interest to study at Deakin

    Please complete the Register your interest form to receive further information about our direct application opportunities.


    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

    Frequently asked questions

    Deakin runs on trimesters, what dates do they each start?

    Find out more about our key dates

    Am I eligible for a scholarship with this course?

    Find our more about scholarships at Deakin

    Can I claim recognition of prior learning (RPL) for this course?

    Find out more about RPL

    Where can I study with Deakin?

    Find out more about campus locations

    Why choose Deakin

    Career outcomes

    AI offers an exciting future for students as more industries spend time and money on 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.

    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

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