Direct applications to Deakin for Trimester 1 2020 close 23 February 2020
VTAC entries are closed.
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
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
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.
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 2 - Trimester 1
Plus two elective units
Year 2 - Trimester 2
Plus one elective unit
Year 3 - Trimester 1
Plus one elective unit
Year 3 - Trimester 2
^ available from 2022
# Must have completed STP010 Introduction to Work Placements (0 credit point unit)
~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
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.
2020 course information
1400610621 - Cloud (online), Commonwealth Supported Place (HECS)
This course is approved by the University under the Higher Education Standards Framework.
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
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.
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7.
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.
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.
Ask a question about studying a at Deakin
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.
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.
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 2019 students (PDF, 746.6KB) - 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
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.
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
How to apply
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.
Applications can be made directly to the University through the Course and Scholarship Applicant Portal.
For more information on the application process and closing dates, visit the how to apply page.
Please complete the Register your interest form to receive further information about our direct application opportunities.
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.
Faculty of Science, Engineering and Built Environment
School of 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 email@example.com
Current student course and enrolment enquiries
Call 03 9244 6699 or email us at firstname.lastname@example.org
Submit an online enquiry
Frequently asked questions
What are the key study start dates?
Browse all start and finish dates for Deakin’s main study periods. You’ll also find dates relating to applications and prospective student events, plus a list of all public holidays and study breaks.
How much does it cost to study at Deakin?
Your tuition fees will depend on the type of student you are, the course you study and the year you start. Fees are based on an annual amount; they don't cover the entire duration of the course.
Use our fee estimator to gauge what your fees could be per year.
Can I speak to someone in person about my study options?
Yes! We regularly host a range of events including 1:1 consultations and information sessions, to assist you with your study options and career planning. Check out our upcoming events or contact our Prospective Student Enquiry Centre on 1800 693 888 for more information.
Am I eligible for a scholarship with this course?
Scholarships are available for domestic and international students at all study levels. Find a scholarship that works for you.
Can I claim recognition of prior learning (RPL) for this course?
In some courses, you can reduce your overall study time and tuition cost by getting your work and previous study experience recognised as recognition of prior learning (RPL).
Why choose Deakin
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.
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.
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.
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.
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.
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