Bachelor of Artificial Intelligence

2024 Deakin University Handbook

Year

2025 course information

Award granted Bachelor of Artificial Intelligence
Deakin course codeS308
Faculty

Faculty of Science, Engineering and Built Environment

CampusOffered at Burwood (Melbourne)
OnlineYes
Duration3 years full-time or part-time equivalent
Course Map - enrolment planning tool

This course map is for new students commencing from Trimester 1 2025

Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.

CRICOS course code0100304 Burwood (Melbourne)
Australian Qualifications Framework (AQF) recognition

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

Course sub-headings

Course overview

Deakin’s Bachelor of Artificial Intelligence equips you with the knowledge and skills to design, develop and evolve computational 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, ensuring you graduate with the specialist skills to design and build the intelligent systems of the future. Develop in-demand skills by working alongside experienced AI specialists during a professional work placement. You will also have opportunities to obtain certificates from the training program for Microsoft Azure AI.

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 are spending 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, has created a 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 will be well-equipped to work on the design, development and operation of AI-driven software solutions.

Indicative student workload

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.

Professional recognition

The Bachelor of Artificial Intelligence is professionally accredited with the Australian Computer Society (ACS).

Career opportunities

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 be equipped with the specialist knowledge 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 engineer/scientist, data analyst, AI technology engineer, AI ethicist or an AI architect, to name a few.

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.

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.


Equipment requirements

The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a desktop computer.

For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.

Course Learning Outcomes

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

Communicate in a professional context to inform, explain and drive sustainable innovation through artificial intelligence, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.

Digital literacy

Use digital technologies, platforms, frameworks and tools from the field of artificial intelligence to generate, manage, process and share digital resources and solutions.

Critical thinking

Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with the field of artificial intelligence.

Problem solving

Apply cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, and operate solutions to real-world and ill-defined computing problems.

Self-management

Work independently to apply knowledge and skills to new situations in 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

Work independently and collaboratively to achieve team goals, contributing knowledge and skills from artificial intelligence to advance the teams objectives, employing effective teamwork practices and principles, and comprehending distinct workplace roles and their functions.

Global citizenship

Apply professional and ethical standards and accountability in the field of artificial intelligence and engage openly and respectfully with diverse communities and cultures.

Course rules

To complete the Bachelor of Artificial Intelligence students must pass 24 credit points and meet the following course rules to be eligible to graduate: 

  • DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
  • SIT010 Safety Induction Program (0-credit-point compulsory unit)
  • STP010 Career Tools for Employability (0-credit-point compulsory unit)
  • 17 credit points of core units
  • 3 credit points of artificial intelligence capstone units
  • 4 credit points - one of:
    • 4 credit points of open elective units 
    • 1 minor (4 credit points)
  • a maximum of 10 credit points at level 1
  • a minimum of 6 credit points at level 3

Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University's vocabulary.

Minors

Refer to the details of each minor sequence for availability.

Course structure

Core

Year 1 - Trimester 1

DAI001 Academic Integrity and Respect at Deakin (0 credit points)

SIT010Safety Induction Program (0 credit points)

STP010Career Tools for Employability (0 credit points)

SIT102Introduction to Programming

SIT192Discrete Mathematics

SIT111Computer Systems

SIT112Introduction to Data Science and Artificial Intelligence

Year 1 - Trimester 2

SIT232Object-Oriented Development

SIT103Database Fundamentals

SIT202Computer Networks and Communication

SIT194Introduction to Mathematical Modelling


Year 2 - Trimester 1

SIT221Data Structures and Algorithms

SIT215Computational Intelligence

SIT220Data Wrangling

Plus 1 minor or open elective unit (1 credit point)

Year 2 - Trimester 2

SIT307Machine Learning

SIT223Professional Practice in Information Technology #

SIT292Linear Algebra for Data Analysis

Plus 1 minor or open elective unit (1 credit point)


Year 3 - Trimester 1

SIT319Deep Learning

SIT330Natural Language Processing

SIT374Team Project (A) - Project Management and Practices ^

Plus 1 minor or open elective unit (1 credit point)

Year 3 - Trimester 2

SIT332Robotics, Computer Vision and Speech Processing

Plus 1 minor or open elective unit (1 credit point)

Plus 2 credit points from the following capstone options:

SIT378Team Project (B) - Execution and Delivery ^

SIT306IT Placements and Industry Experience ^+

OR

SIT344Professional Practice (2 credit points) ^+

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

^ 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 Information Technology.

It is important to ensure your course plan meets the course rules detailed above. Students should contact Student Central for assistance with course planning, choosing the right units and understanding course rules.

Electives

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.

Work experience

This course includes a compulsory work placement with an approved host organisation to take your learning beyond the classroom and prepare you to be work and career ready. Work Integrated Learning units offered in this course provide you with the opportunity to develop your professional networks and work practices while completing your degree.

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

For more information visit SEBE Work Integrated Learning.

Details of minor sequences

Cloud Technologies

Campuses

Online


Unit set code

MN-S000011


Overview

In today’s data-driven digital world, cloud technologies are an area of significant business interest. Their adoption and integration into business practices is growing at a rapid pace. This minor focuses on providing you with the knowledge, skills and expertise required to construct solutions using virtualisation, enterprise networks, system security and cloud infrastructure.


Units

SIT233Cloud Computing

SIT226Cloud Automation Technologies

SIT323Cloud Native Application Development

SIT314Software Architecture and Scalability for Internet-Of-Things


 

Cyber Security

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000015


Overview

This minor sequence provides an insight into cyber security and equips you with skills in secure coding, security management and ethical hacking. In today's digital world, cyber security threats are a major challenge across many sectors. As cyber-attacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally.


Units

SIT182Real World Practices for Cyber Security

SIT218Secure Coding

SIT284Cyber Security Management

SIT379Ethical Hacking


Embedded Systems

Campuses

Burwood (Melbourne), online 


Unit set code

MN-S000005


Overview

This minor will focus on developing solutions that use hardware, software, sensors, actuators, prototyping platforms and systems software. Students will gain the skills and knowledge to solve real-world problems in smart homes, the Internet of Things and robotics.


Units

SIT122Robotics Studio

SIT225Data Capture Technologies

SIT210Embedded Systems Development

SIT329Advanced Embedded Systems


Finance

Campuses

Burwood (Melbourne), Online


Unit set code

MN-M30005


Overview

This minor will provide students with an understanding of the basic principles of business finance and the operation of money and capital markets. This knowledge is extended into practical application in domestic and international equity and debt markets.


Units

MAF101Fundamentals of Finance

Plus three (3) units from:

MAF203Business Finance

MAF202Banking and Financial Institutions

MAF306International Finance and Investment

MAF307Equities and Investment Analysis


Full Stack Development

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000012


Overview

Web development is one of the fastest-growing careers in today’s economy. There is growing demand for full stack web developers who are proficient in both front-end and back-end web development. Throughout this minor sequence, you will explore responsive web apps, full stack development across frontend applications and backend services, and mobile programming for Android and iOS.


Units

SIT120Introduction to Responsive Web Apps

SIT331Full Stack Development: Secure Backend Services

SIT313Full Stack Development: Secure Frontend Applications

SIT305Mobile Application Development


Health Analytics

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000017


Overview

This minor provides specialisation in health data analysis, enabling students to have the specific domain knowledge to work with field experts and to introduce the use of data science tools in the area. Students who are interested in the field of health and want to work as a data scientist in this area are encouraged to do this minor. HSH302 (Policy, Politics and Health) is recommended as an elective for those wanting to extend their studies in this area.


Units

HBS107Understanding Health

HBS108Health Information and Data

HSH205Epidemiology and Biostatistics 1

HSH216Epidemiology and Biostatistics 2


Human Resource Management

Campuses

Burwood (Melbourne), Online


Unit set code

MN-M30012


Overview

This minor will equip students with the skills, knowledge and abilities needed to perform basic workplace tasks in human resource management. Human resource management is a critical area that is relevant to all organisations, as it encompasses employees working effectively within and for organisations.


Units

MMM132Management

Plus three (3) units from:

MMH230Fundamentals of Human Resource Management

MMH231Human Resource Practice

MMH232Human Resource Development

MMH349Employment Relations


Marketing

Campuses

Burwood (Melbourne), Online


Unit set code

MN-M30008


Overview

This minor focuses on developing discipline knowledge and industry-relevant practices in marketing. There is a strong focus on industry-relevant insights, the latest marketing practices, future market trends and strategy development in an ever-changing business landscape. The knowledge and skills developed within the marketing minor are complementary to anyone looking to better understand drivers to successful business outcomes, irrespective of which sector a business may sit within.


Units

MMK101Marketing Fundamentals

Plus three (3) units from:

MMK251Services Marketing

MMK266Consumer Behaviour

MMK295Integrated Marketing Communications in the Digital Age

MMK368Business Marketing


Retail Management

Campuses

Burwood (Melbourne), Online


Unit set code

MN-M30009


Overview

This minor provides you with an understanding of what underpins management and operations in today’s retailing sector. Retail business are finding it increasingly difficult to compete without adopting innovation. More and more, new retailers (e.g. Amazon) are impacting the retail landscape at the expense of more traditional bricks and mortar stores. The minor places a strong emphasis on the dynamic nature of retailing, highlighting evolving trends driven by the increasing prevalence of digital marketing technologies. These technologies are changing every aspect of the retailing landscape.


Units

MMK101Marketing Fundamentals

Plus three (3) units from:

MMK217Retail Management

MIS313Strategic Supply Chain Management

MMK280Brand Management

MMK317Advanced Retail Management


Security Management

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000003


Overview

This minor will give you the opportunity to use your learned managerial and cyber security skills to assist companies in their planning, governance and change policies,  ensuring their resilience and defence of related threats.


Units

Four units from:

MIS211Cyber Security and Governance

MMH356Change Management

MMM132Management

SIT182Real World Practices for Cyber Security

SIT284Cyber Security Management


Sports Analytics

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000020


Overview

This minor provides specialisation in sports and exercise data analysis, enabling students to have the specific domain knowledge to work with the field experts and to introduce the use of data science tools in sports and exercise. Students who are interested in the field of sports and exercise and who want to work as a data scientist in this area are encouraged to do this minor.


Units

HSE010Exercise and Sport Laboratory Safety (0 credit points)

HSE104Research Methods and Data Analysis in Exercise and Sport

HSE202Biomechanics

HSE311Applied Sports Science 1

HSE314Applied Sports Science 2


Sustainability and Environmental Science

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000021


Overview

This minor provides specialisation in sustainability and environmental Science. This  enables students to have the specific domain knowledge to work with field experts, and to introduce the use of data science tools. Students who are interested in the field of sustainability and environmental science and want to work as a data scientist in this area are encouraged to do this minor.


Units

SLE101Environmental Techniques and Monitoring

SLE121Environmental Sustainability

SLE207Environmental Planning and Impact Assessment

SLE245Marine Geographic Information Systems


Virtual and Augmented Reality

Campuses

Burwood (Melbourne), Online


Unit set code

MN-S000009


Overview

Virtual and augmented reality technologies are revolutionising business processes, disrupting the way companies work with complex data sets, and enhancing educational and training practices. They contribute to novel therapies and treatments, and allow access to opportunities despite physical and geographical restrictions. They have also redefined the way we represent and interact with digital media - whether it be our holiday souvenir snapshots or the latest interactive gaming experience.


Units

SIT183Interactive Application Design for Virtual and Augmented Reality

SIT283Development for Virtual and Augmented Reality

SIT253Content Creation for Interactive Experiences

SIT383Assembling Virtual and Augmented Reality Experiences



Course duration

Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.

Further information

Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.

Other learning experiences

To broaden your experience of the world, you may have an opportunity to participate in overseas placements and study tours as an elective option in your course.

Fees and charges

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, and their study discipline or your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

Estimate your fees

For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.