Bachelor of Artificial Intelligence (Honours)

2025 Deakin University Handbook

Year	2025 course information
Award granted	Bachelor of Artificial Intelligence (Honours)
Deakin course code	S408
Faculty	Faculty of Science, Engineering and Built Environment
Campus	Offered at Burwood (Melbourne)
Online	Yes
Duration	4 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 code	111442F Burwood (Melbourne)
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

Course sub-headings

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 computational 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. In the beginning you'll explore fundamental concepts across mathematical modelling and programming, 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 and to work in teams with an industry partner, tackling authentic business challenges as part of a capstone project. You can also focus your studies towards the area that interests you most by undertaking minor studies in an area of your choosing. In your final year, culminate your knowledge in your final year through completion of an honours research project.

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.

Career opportunities

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 engineer/scientist, data analyst, AI technology engineer, AI ethicist, or an AI architect – to name a few.

By undertaking a focused research project in your final year of study, you will acquire research skills and advanced technical expertise in your chosen topic. Plus, you will develop 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.

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 laptop or 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

Alternative exit

S308 Bachelor of Artificial Intelligence

Course Learning Outcomes

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 incorporating research-driven perspective 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	Identify, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources for research and practice.
Critical thinking	Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with research and practice in artificial intelligence.
Problem solving	Apply cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate innovative solutions to real-world and ill-defined computing problems.
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	Work independently and collaboratively to achieve team goals, contributing knowledge and skills from artificial intelligence practice and research 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 research and practice 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 (Honours) students must pass 32 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 artificial intelligence capstone units
4 credit points artificial intelligence research training capstone units
8 credit points which may comprise of:
- 2 minors (8 credit points)
- 1 minor (4 credit points) and 4 credit points of open elective units
a maximum of 10 credit points at level 1
a minimum of 10 credit points at level 3 or above

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)

SIT010

Safety Induction Program (0 credit points)

STP010

Career Tools for Employability (0 credit points)

SIT102

Introduction to Programming

SIT192

Discrete Mathematics

SIT111

Computer Systems

SIT112

Introduction to Data Science and Artificial Intelligence

Year 1 - Trimester 2

SIT232

Object-Oriented Development

SIT103

Database Fundamentals

SIT202

Computer Networks and Communication

SIT194

Introduction to Mathematical Modelling

Year 2 - Trimester 1

SIT221

Data Structures and Algorithms

SIT215

Computational Intelligence

SIT220

Data Wrangling

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

Year 2 - Trimester 2

SIT307

Machine Learning

SIT223

Professional Practice in Information Technology #

SIT292

Linear Algebra for Data Analysis

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

Year 3 - Trimester 1

SIT319

Deep Learning

SIT330

Natural Language Processing

SIT374

Team Project (A) - Project Management and Practices ^

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

Year 3 - Trimester 2

SIT332

Robotics, Computer Vision and Speech Processing

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

Plus 2 credit points from the following capstone options:

SIT378

Team Project (B) - Execution and Delivery ^

SIT306

IT Placements and Industry Experience ^+

SIT344

Professional Practice (2 credit points) ^+

Year 4 - Trimester 1

SIT723

Research Techniques and Applications (2 credit points) (Research Training capstone)^

Plus 2 minor or open elective units (2 credit points)

Year 4 - Trimester 2

Plus 2 open elective or minor units (2 credit points)

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

SIT724

Research Project (2 credit points)^

SIT746

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 Information Technology.

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

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

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 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 (WIL) 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

Burwood (Melbourne), 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

SIT233

Cloud Computing

SIT226

Cloud Automation Technologies

SIT323

Cloud Native Application Development

SIT314

Software Architecture and Scalability for Internet-Of-Things

Cyber Security

Campuses

Burwood (Melbourne), Online

Unit set code

MN-S000015

Overview

This minor sequence provides 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

SIT182

Real World Practices for Cyber Security

SIT218

Secure Coding

SIT284

Cyber Security Management

SIT379

Ethical Hacking

Cyber Security Analytics

Campuses

Burwood (Melbourne), Online

Unit set code

MN-S000016

Overview

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. This minor sequence provides an insight into the analysis of data associated with cyber security attacks.

Units

SIT182

Real World Practices for Cyber Security

SIT282

Computer Forensics and Investigations

SIT384

Cyber Security Analytics

Plus one (1) unit from:

SIT326

Advanced Network Analytics and Forensics

SIT327

Network Forensics

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

SIT122

Robotics Studio

SIT225

Data Capture Technologies

SIT210

Embedded Systems Development

SIT329

Advanced 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

MAF101

Fundamentals of Finance

Plus three (3) units from:

MAF203

Business Finance

MAF202

Banking and Financial Institutions

MAF306

International Finance and Investment

MAF307

Equities 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

SIT120

Introduction to Responsive Web Apps

SIT331

Full Stack Development: Secure Backend Services

SIT313

Full Stack Development: Secure Frontend Applications

SIT305

Mobile 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 introduce the use of data science tools in the area. Students who are interested in the field of health and who 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

HBS107

Understanding Health

HBS108

Health Information and Data

HSH205

Epidemiology and Biostatistics 1

HSH216

Epidemiology 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

MMM132

Management

Plus three (3) units from:

MMH230

Fundamentals of Human Resource Management

MMH231

Human Resource Practice

MMH232

Human Resource Development

MMH349

Employment 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

MMK101

Marketing Fundamentals

Plus three (3) units from:

MMK251

Services Marketing

MMK266

Consumer Behaviour

MMK295

Integrated Marketing Communications in the Digital Age

MMK368

Business 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

MMK101

Marketing Fundamentals

Plus three (3) units from:

MMK217

Retail Management

MIS313

Strategic Supply Chain Management

MMK280

Brand Management

MMK317

Advanced 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:

MIS211

Cyber Security and Governance

MMH356

Change Management

MMM132

Management

SIT182

Real World Practices for Cyber Security

SIT284

Cyber 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 field experts and to introduce using 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

HSE010

Exercise and Sport Laboratory Safety (0 credit points)

HSE104

Research Methods and Data Analysis in Exercise and Sport

HSE202

Biomechanics

HSE311

Applied Sports Science 1

HSE314

Applied 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, enabling 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 who want to work as a data scientist in this area are encouraged to do this minor.

Units

SLE101

Environmental Techniques and Monitoring

SLE121

Environmental Sustainability

SLE207

Environmental Planning and Impact Assessment

SLE245

Marine 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 also have redefined the way we represent and interact with digital media - whether it be our holiday souvenir snapshots or the latest interactive gaming experience.

Units

SIT183

Interactive Application Design for Virtual and Augmented Reality

SIT283

Development for Virtual and Augmented Reality

SIT253

Content Creation for Interactive Experiences

SIT383

Assembling Virtual and Augmented Reality Experiences

Information Technologies Research

Campuses

Burwood (Melbourne), Online

Unit set code

MN-S000018

Overview

This minor provides students with hands-on experience in research and publishing scientific papers. This minor is designed to help support students aiming to pursue a research higher degree.

Units

SLE761

Professional Research Practice

SIT718

Real World Analytics

SIT747

Research Project (Publication) (2 credit points)+

+ Entry to SIT747 is subject to specific unit entry requirements.

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.

Contact Student Central

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.