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General information

Overview

The Bachelor of Artificial Intelligence in Business equips students to lead AI-driven business transformation by combining technical expertise with strategic business insight. Through an interdisciplinary curriculum, students develop capabilities in programming, AI-enabled analytics, cloud technologies, business strategy and responsible AI governance. The course prepares graduates to align AI with organisational goals, support decision intelligence, and manage AI ethically and responsibly. This unique integration of business and AI capabilities goes beyond traditional business or IT degrees, positioning students for emerging roles in AI strategy, business transformation consultancy, AI analytics, and AI governance.

Study structure

Successful completion of the Bachelor of Artificial Intelligence in Business requires students to complete units of study to the value of 300 credit points. All units of study are valued at 12.5 credit points unless otherwise stated.

  • Full-time study: 100 credit points/eight standard units of study per year

  • Part-time study: 50 credit points/four standard units of study per year

  • One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)

  • See the course planner for an example degree structure.

  • Full-time study: 100 credit points/eight standard units of study per year

  • One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)

  • See the course planner for an example degree structure.

Units of study Unit code
Core units
Introduction to Programming
Core unit , 12.5 credit points 		COS10009
Data Management and Analytics
Core unit , 12.5 credit points 		INF10025
Cloud Computing Architecture
Core unit , 12.5 credit points 		COS20019
Object Oriented Programming
Core unit , 12.5 credit points 		COS20007
Systems Analysis and Design
Core unit , 12.5 credit points 		INF20029
Artificial Intelligence in Business Decision Making
Core unit , 12.5 credit points 		INF20034
Cyber Security for Business
Core unit , 12.5 credit points 		INF20031
Business Digitalisation Industry Project
Core unit , 12.5 credit points 		INF30027
Units of study Unit code
Business Artificial Intelligence Project
Major unit, 12.5 credit points 		INF10028
Artificial Intelligence Business Strategy and Transformation
Major unit, 12.5 credit points 		INF20033
Ethics and Governance of Technology Innovation
Major unit, 12.5 credit points 		INF20032
Tools and Techniques for Business Artificial Intelligence
Major unit, 12.5 credit points 		INF10029
IT Program and Project Management
Major unit, 12.5 credit points 		INF30033
Artificial Intelligence Consulting Project
Major unit, 12.5 credit points 		INF30038
Introduction to Artificial Intelligence
Major unit, 12.5 credit points 		COS30019
Predictive Analytics
Major unit, 12.5 credit points 		INF30036

Choose from a combination of the following course components to complete 100 credit points of other study. Students may also select elective units (12.5 credit points each).

A co-major is a major in a field of study outside this course. You can choose one in addition to a first major. Co-majors will not be named on your testamur certificate however, they will be shown on your transcript of results.

  • Advertising
  • Animation
  • Biotechnology
  • Business Analysis
  • Cinema and Screen Studies
  • Climate and Social Justice
  • Computer Science
  • Creative Writing and Literature
  • Criminology
  • Data Analytics
  • Digital Advertising Technology
  • Environmental Science
  • Environmental Sustainability
  • Ethics and Technology
  • Games and Interactivity
  • Global Studies
  • History
  • Indigenous Studies
  • Information Systems
  • Journalism
  • Management
  • Marketing
  • Media Industries
  • Neuroscience
  • Perspectives on Globalisation
  • Philosophy
  • Politics and International Relations
  • Politics, Power and Technology
  • Professional and Creative Writing
  • Professional Writing and Editing
  • Psychology
  • Public Relations
  • Screen Production
  • Screen Studies and Popular Culture
  • Social Media
  • Space Technology
View co-major units

Minors are a structured set of 4 units or 50 credit points and may be chosen from any field of study.

  • Accounting
  • Advertising
  • Business Law
  • Data Analytics
  • Digital Advertising Technology
  • Digital Marketing
  • Entrepreneurship
  • Finance
  • Human Resource Management
  • International Relations and Security
  • Logistics and Supply Chain Management
  • Management
  • Managing Information Systems
  • Marketing
  • Public Relations
  • Social Impact
  • Social Media
View minor units

You'll get paid to work in an area related to your field of study for either 6 or 12 months, where you'll combine hands-on learning with academic submissions, workplace reflection and feedback from your host organisation. Most students undertake their placements in the third year of their degree, so you’ll want to map out your electives as soon as you can and register for a placement at least 6 months before your preferred start date.

Units of study Unit code
Professional placement - Major (12 months)
Work Experience in Industry A
Practical unit, 25.0 credit points 		WEI20001
Integrated Professional Placement A - Information Systems
Academic unit, 25.0 credit points 		INF20019
Work Experience in Industry B
Practical unit, 25.0 credit points 		WEI20002
Integrated Professional Placement B - Information Systems
Academic unit, 25.0 credit points 		INF20020
or
Professional placement - Minor (6 months)
Work Experience in Industry A
Practical unit, 25.0 credit points 		WEI20001
Integrated Professional Placement A - Information Systems
Academic unit, 25.0 credit points 		INF20019

These recommended elective units can deepen your understanding of your chosen major or an area of interest. A full list of available elective units can be found upon enrolment.

  • BUS20009 Professional Internship – Business
  • CAR20001 Future Work Skills
  • ECO20003 Managerial Economics and Strategy
  • FIN30014 Financial Risk Management
  • FIN30020 Alternative Investments
  • HRM20016 Dynamics of Diversity in Organisations
  • ICT20005 IT for Social Impact Project
  • INF20016 Big Data Management
  • INF20029 Digital Business Analysis and Design
  • INF30004 Business Intelligence and Data Visualisation
  • LAW20019 Law of Commerce
  • MGT10010 Ethics of Innovation
  • MGT30005 Strategic Planning
Find more detail about elective units

Outcomes and course rules

Learning outcomes

On successful completion of this course students will be able to:

  • Design and apply technical AI–driven business solutions using predictive models and intelligent agent frameworks to achieve strategic organisational objectives.
  • Critically evaluate the ethical, legal, and societal dimensions of responsible intelligent technologies in business.
  • Apply inclusive and responsible practices that recognise Indigenous and multicultural perspectives and promote sustainable innovation.
  • Analyse complex business and social challenges using interdisciplinary, systems-based methods, and engineer AI solution pipelines aligned with stakeholder requirements.
  • Communicate artificial intelligence–driven insights and recommendations effectively to technical and non-technical stakeholders using digital visualisation interfaces and structured analytic reports.
  • Coordinate interdisciplinary AI project workflows using technical project-management and collaboration platforms to deliver ethical and sustainable AI solutions.
  • Evaluate and reflect on the implications of emerging artificial intelligence technologies by applying future-readiness and intellectual autonomy in navigating strategic and societal challenges.

Career opportunities

The Bachelor of Artificial Intelligence in Business prepares students for roles at the intersection of business innovation and Artificial Intelligence (AI) implementation, producing graduates who can leverage emerging technologies to drive performance, innovation, and organisational growth.

Graduates may pursue roles in the following focus areas:

  • AI Strategy and Innovation
  • AI Analytics and Insight
  • AI Delivery and Transformation
  • Digital Consultancy
  • AI Governance and Ethics

Professional recognition

The  Bachelor of Artificial Intelligence in Business is accredited by the Australian Computer Society (ACS) at the professional level.

Course rules

To qualify for the award of Bachelor of Artificial Intelligence in Business students must complete 300 credit points of study comprising :

  • eight (8) core units of study (100 credit points) AND
  • eight (8) units of study from the Business Artificial Intelligence major (100 credit points) AND
  • other studies comprising a co-major, minor/s, advanced minor and/or electives (100 credit points).

Domestic students also have an opportunity to undertake a WIL Professional Placement. Please note that due to government regulation international students holding a student visa are not able to undertake Professional Placements in this course.

International students who successfully gain a placement through the selection process will be required to change courses to a relevant Professional degree if this be feasible, in order to complete a placement and should consider any visa and extended study duration implications prior to applying. Professional Placements are subject to a competitive selection process.

Volume of learning

The Bachelor of Bachelor of Artificial Intelligence in Business consists of a total of 300 credit points.

Units normally carry 12.5 credit points (cp). A standard annual full-time load comprises 100 credit points and a part-time load comprises 50 credit points. The volume of learning of the Bachelor of Business Artificial Intelligence is typically 3 years.

For students who complete a Professional Placement the Bachelor of Business Artificial Intelligence consists of 337.5-375 credit points. Units normally carry 12.5 credit points. A standard annual full-time student load comprises 100 credit points, and a standard part-time load comprises 50 credit points.

The volume of learning of the Bachelor of Artificial Intelligence in Business with a 6-month placement is typically 3.5 years.

The volume of learning of the Bachelor of Artificial Intelligence in Business with a 12-month placement is typically 4 years.

Professional placements

Students who undertake a 12-month professional placement are subject to the following course rules and must complete 375 credit points comprising:

  • eight [8] Core units of Study (100 credit points) AND
  • eight [8] units of study from the from the Business Artificial Intelligence major (100 credit points) AND
  • four [4] Professional Placement units (100 credit points) AND
  • six [6] units of study comprising an Advanced Minor, Minor or electives (75 credit points).
     

Students who elect to undertake a 6 month professional placement are subject to the following course rules and must complete 337.5 credit points comprising:

  • eight [8] Core units of Study (100 credit points) AND
  • eight [8] units of study from the Business Artificial Intelligence major (100 credit points) AND
  • two [2] Professional Placement units (50 credit points) AND
  • seven [7] units of study comprising an Advanced Minor, Minor or electives (87.5 credit points).

 

Maximum Academic Credit

The maximum level of credit that can be granted for the Bachelor of Artificial Intelligence in Business is 150 credit points (normally 12 units).

Admission criteria

Information about Swinburne's general admission criteria can be found at Admissions at Swinburne - Higher Education webpage.

Interested in the Bachelor of Artificial Intelligence in Business?

From state-of-the-art facilities to opportunities to engage with industry – this course is designed with your future in mind. Let's get started.

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