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Bachelor of Artificial Intelligence (Honours)

Undergraduate degree

Artificial Intelligence is driving digital disruption through development of systems capable of performing tasks that typically require human intelligence. This course will be available from Trimester 2, 2023.

Key facts

Duration

4 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 overview

Artificial Intelligence (AI) is driving digital disruption through the development of smart systems and machines capable of performing tasks that typically require human intelligence. From self-driving cars to the proliferation of smart assistants, AI is a growing part of everyday life. This specialised four-year course prepares you with the knowledge and skills required to design, develop and evolve software solutions that harness the latest advances in AI.

You will study up-to-the-minute trends, insights and emerging topics to ensure you graduate with a highly relevant skill-set that is sought-after by employers across the globe. You will explore different AI tools and techniques as you learn key concepts and deep dive into advanced topics in machine learning, language and speech processing and robotics.

Want the skills to develop the intelligent systems that drive digital disruption?

The Bachelor of Artificial Intelligence (Honours) gives you ample opportunity to sharpen your skill set under the guidance and direction of our supportive teaching staff. You'll explore fundamental concepts across mathematical modelling and programming at the beginning of the course, before diving into more advanced topics in data wrangling, machine learning, natural language and speech processing, robotics and AI. You’ll also have opportunities to undertake a professional placement as part of studies, work in teams with an industry partner to tackle authentic business challenges as part of a capstone project, focus your studies towards the area that interests you most by undertaking minor studies in an area of your choosing, and culminate your knowledge in your final year through completion of an honours research project.  

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Course information

Award granted
Bachelor of Artificial Intelligence (Honours)
Year

2023 course information

Deakin code
S408
CRICOS code?
111442F Burwood (Melbourne)
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 8.

Course structure

To qualify for the award of Bachelor of Artificial Intelligence (Honours) students must complete 32 credit points comprising:

  • Seventeen (17) credit points of core units
  • A three (3) credit point Artificial Intelligence capstone
  • A four (4) credit point Artificial Intelligence Research Training capstone
  • And one of:
    • Two minors (totalling 8 credit points) OR
    • One minor (totalling 4 credit points), and four elective units (4 credit points)
  • 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)
  • level 1 - maximum of 10 credit points
  • levels 2 and 3 - minimum of 14 credit points over both levels
  • level 3 - minimum of 6 credit points 
  • level 7 – minimum 4 credit points of postgraduate units
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
  • 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 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 elective unit (one (1) credit point)

    Year 3 -  Trimester 1

  • Deep Learning
  • Natural Language Processing
  • Plus one (1) minor or 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 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) ^+

  • Year 4 - Trimester 1

  • Research Training and Project (2 credit points) (Research Training capstone)^
  • Plus two (2) major or minor units (two (2) credit points)

    Year 4 - Trimester 2

    Plus two (2) electives or minor units (2 credit points)

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

  • Research Project (2 credit points)^
  • OR

  • Research Project (Advanced) (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.

     ^ Offered in Trimester 1, trimester 2 and trimester 3

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

    * Entry to SIT746 is subject to specific unit entry requirements.

    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.

    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 2 - July

    • Start date: July
    • Available at:
      • Burwood (Melbourne)
      • Online

    New course from Trimester 2, 2023

    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.

    S308 Bachelor of Artificial Intelligence

    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

    You can expect to participate in a range of teaching activities each week. This could include classes, 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 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 (conditions apply, please refer to deakin.edu.au/sebe/wil.)

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

    Entry requirements

    Current or recent Year 12

    If you are currently studying Year 12 or completed Year 12 in the previous two years and have not attempted higher education or VET/Polytechnic study since, your selection is based on the following.

    VCE 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.

    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 study

    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.

    VCE Senior Secondary prerequisite studies

    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 study

    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.

    VCE Senior Secondary prerequisite studies

    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.

    VCE Senior Secondary prerequisite studies

    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.

    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.

    Fees and scholarships

    Fee information

    Fee rate

    Estimated tuition fees - CSP: 2023 fees are currently unavailable due to a delay in the student contribution rates set 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

    Entry pathways

    Further study options

    A Bachelor of Artificial Intelligence (Honours) may also provide you with the opportunity to  pursue a research pathway to Higher Degree by Research.

    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.

    Call us 1800 693 888 (Mon–Fri, 9am–5pm)
    Live Chat Mon–Thurs, 8am–7pm, Fri 8am–5pm

    Careers

    Career outcomes

    Skilled AI professionals are increasingly in demand as organisations realise the potential of intelligence systems to improve our daily lives – both in and outside the workplace. The increasing integration of AI into business practices enhances automation and operating efficiencies such that skilled professionals in this emerging field of IT are highly sought-after across the globe.

    As a graduate, you will have a highly specialised skill-set that enables you to push boundaries. 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.

    By undertaking a focused research project in your final year of study, you’ll also acquire research skills and advanced technical expertise in your chosen topic, as well as the skills to become a creative, solutions-driven professional in the dynamic and ever-evolving field of artificial intelligence. You will also be well positioned to pursue further study including a masters by research or PhD.

    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 coherent and advanced knowledge of artificial intelligence, with detailed knowledge of the machine learning, data analytics, and programming and knowledge, skills, tools, and methodologies for professional practice and research.

    Communication

    Communicate in a professional context to inform, motivate, and effect change, and to drive sustainable innovation, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.

    Digital literacy

    Utilise a range of digital technologies and information sources to discover, analyse, evaluate, select, process, and disseminate both technical and non-technical information in artificial intelligence projects and research.

    Critical thinking

    Evaluate information and evidence, applying critical and analytical thinking and reasoning, technical skills, personal judgement and values, in decision processes.

    Problem solving

    Apply theoretical constructs, skills and critical analysis to real-world and ill-defined problems and develop innovative automated solutions utilising artificial intelligence.

    Self-management

    Work independently to apply knowledge and skills to new situations in research and 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

    Contribute effectively as a skilled and knowledgeable individual to the processes and output of a work unit or team, with specific knowledge and skills associated with using professional and research practices associated with the information technology industry.

    Global citizenship

    Apply professional and ethical standards and accountability in research and in designing, developing, and deploying automated solutions utilising artificial intelligence.

      Approved by Faculty Board 28 July 2022