Why Study / Key Benefits

The Bachelor of Artificial Intelligence in Business is designed for students who want to combine artificial intelligence with business strategy rather than focus solely on technical AI development. Swinburne describes it as an interdisciplinary degree combining programming, AI-enabled analytics, cloud technologies, business strategy, project management and responsible AI governance.

Key benefits include:

• Combines technical AI knowledge with business and strategic decision-making skills.
• Develops skills in AI-driven business analysis, strategic AI planning, AI governance, consulting and project/change management.
• Uses project-based and industry-linked learning.
• Covers responsible and ethical use of AI, including legal, privacy, risk and governance considerations.
• Includes a Business Digitalisation Industry Project and other applied projects.
• The qualification is accredited by the Australian Computer Society (ACS) at professional level.
• Swinburne describes the course as Australia’s first and only business AI degree of its kind on the current course page.

Programme Structure and Subjects / Topics

The 300-credit-point degree consists of 24 standard 12.5-credit-point units:

• 8 core units
• 8 Business Artificial Intelligence major units
• 8 units of other study, which can include electives, minors or a co-major.

Core units:

1. Introduction to Programming – COS10009
2. Data Management and Analytics – INF10025
3. Cloud Computing Architecture – COS20019
4. Systems Analysis and Design – INF20029
5. Artificial Intelligence in Business Decision Making – INF20034
6. Object Oriented Programming – COS20007
7. Cyber Security for Business – INF20031
8. Business Digitalisation Industry Project – INF30027

Business Artificial Intelligence major:

1. Business Artificial Intelligence Project – INF10028
2. Tools and Techniques for Business Artificial Intelligence – INF10029
3. Ethics and Governance of Technology Innovation – INF20032
4. Artificial Intelligence Business Strategy and Transformation – INF20033
5. IT Program and Project Management – INF30033
6. Artificial Intelligence Consulting Project – INF30038
7. Introduction to Artificial Intelligence – COS30019
8. Predictive Analytics – INF30036

Indicative study sequence

Year 1 includes programming, data management and analytics, cloud computing, systems analysis and business AI project work.

Year 2 introduces AI decision-making, technology ethics and governance, AI business strategy and transformation, object-oriented programming, cyber security and IT project management.

Year 3 includes an AI consulting project, introduction to AI, predictive analytics, the Business Digitalisation Industry Project and further electives.

Disciplines / Specialisations

The named major is:

• Business Artificial Intelligence

The handbook also allows students to use their 100 credit points of other study toward a co-major, minor, advanced minor and/or electives.

Examples of available co-majors include:

• Business Analysis
• Computer Science
• Data Analytics
• Information Systems
• Management
• Marketing
• Ethics and Technology
• Digital Advertising Technology
• Psychology
• Politics and International Relations
• Social Media
• Games and Interactivity
• Environmental Sustainability
• Biotechnology
• Animation
• Journalism.

Examples of minors include:

• Accounting
• Business Law
• Data Analytics
• Digital Marketing
• Entrepreneurship
• Finance
• Human Resource Management
• Logistics and Supply Chain Management
• Management
• Marketing
• Public Relations
• Managing Information Systems
• Social Impact
• Social Media

Programme Highlights

• 3-year undergraduate AI and business qualification.
• Business Artificial Intelligence major.
• 300 credit points.
• 24 standard units in the normal degree structure.
• Strong combination of AI, business, analytics, programming, cloud computing and cyber security.
• Dedicated subjects in AI business strategy, AI consulting, predictive analytics and responsible technology governance.
• Industry-linked projects are incorporated into the degree.
• Business Digitalisation Industry Project provides an applied industry component.
• ACS professional-level accreditation.
• Optional professional placement arrangements exist, although international Student visa holders cannot undertake the placement within this standard course under the stated course rules.

Career Outcomes

Swinburne identifies career opportunities in areas such as:

• AI business analyst
• AI project manager
• AI and data strategy consultant
• AI governance and ethics consultant
• AI transformation architect
• AI product manager.

The handbook groups graduate opportunities into five broad areas:

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

Latest Updates / Special Requirements

• Current CRICOS code: 118260M.
• Current 2027 intakes are 1 March and 2 August 2027.
• Current application deadlines are 24 February and 28 July 2027 respectively.
• The standard course remains 300 credit points and 3 years full-time.
• The published curriculum currently uses a Semester 1, 2026 indicative sequence, so individual unit offerings should be reconfirmed before enrolment.
• Professional placement is not available within this course to international students holding a Student visa under the stated government-regulation restriction.
• The course has professional conduct and responsible-AI requirements. Students are expected to demonstrate appropriate reasoning, protect client information, recognise privacy risks and identify risks associated with misleading AI outputs.
• Credit transfer/RPL is assessed case-by-case.

International Student Visa Requirements

The relevant visa for an international student studying this on-campus bachelor degree in Australia is generally the Australian Student visa (subclass 500).

Key requirements and conditions include:

• Students need a Confirmation of Enrolment (CoE) for their registered full-time course when applying for the Student visa.
• Swinburne requires international students in Australia holding a Student visa to study full-time and on campus.
• For English tests taken on or after 7 August 2025, the standard Student visa English threshold is IELTS Academic 6.0 overall, or equivalent approved scores such as PTE Academic 47 and TOEFL iBT 67, where English evidence is required. Lower thresholds may apply to eligible packaged ELICOS/foundation/pathway arrangements.
• Online/at-home versions of certain English tests are not accepted for Australian visa purposes.
• From 21 January 2026, TOEFL applicants must select “Taking TOEFL for Australia” when registering for the test for it to be valid for Australian visa purposes.
• From 1 July 2026, the Student visa application fee is from AUD 2,500 per application unless an exemption applies.
• Student visa holders can generally work up to 48 hours per fortnight while their course is in session. During scheduled course breaks, unlimited work is generally permitted, subject to visa conditions.
• Students must maintain adequate health insurance for the duration of their stay.
• Students must remain enrolled and maintain satisfactory course progress and attendance requirements.
• Students must notify their education provider of their residential address within 7 days of arriving in Australia.
• Applicants may need to satisfy the Genuine Student requirement and provide supporting evidence as part of the visa process.
• If financial evidence is requested, applicants must demonstrate sufficient funds under the Department of Home Affairs requirements applicable at the time of application.