Why Study / Key Benefits

The Master of Supply Chain Innovation combines supply chain management, innovation and business information systems. Swinburne positions the course around improving contemporary supply chains, responding to changing industry requirements and developing capabilities for strategic management roles.

The Business Analytics specialisation adds a data and technology focus. Students learn to extract useful insights from data and communicate findings through visualisation, with exposure to mobile applications, social media, artificial intelligence and Big Data.

Key benefits include:

• Supply chain management and logistics knowledge.
• Business information systems knowledge.
• Business analytics and data visualisation skills.
• Exposure to artificial intelligence, machine learning and Big Data.
• Understanding of mobile-based business applications and social media.
• Development of critical, entrepreneurial and ethical thinking.
• Awareness of local and international supply chain environments.
• Practical industry engagement through supply chain projects.

Programme Structure and Subjects / Topics

The programme has four foundation units, eight core units and four Business Analytics specialisation units.

Foundation units:

• Business Information Systems – INF60007
• Business Sustainability and Social Impact – MGT60042
• Future Management Skills – MGT60043
• Operations Management – SCM60001

Core units:

• Opportunity Discovery, Creativity and Design – ENT60009
• Six Sigma Lean Green Belt – SCM60002
• Supply Chain Management – SCM60003
• Logistics Management – SCM60004
• Business Analytics and Visualisation – INF70008
• Project Management for Innovative Outcomes – PRM60002
• Supply Chain Innovation Project – SCM80002
• Governing Technology for Business Environments – INF80042.

Business Analytics specialisation students select four units from:

• Cloud Enterprise Systems and Analytics – INF60012
• Mobile Business and Social Media – INF60013
• Business Information Systems Internship Project – INF80005
• Applied Business Intelligence Analytics and Data Visualisation – INF80031
• Predictive Analytics – INF80040
• Artificial Intelligence and Insights – INF80051.

Disciplines / Specialisations

Selected specialisation: Business Analytics.

The broader Master of Supply Chain Innovation currently offers specialisations including:

• Accounting
• Business Analytics
• Digital Marketing
• Entrepreneurship
• Finance
• Financial Technologies
• Human Resource Management
• International Business
• Project Management
• Research
• Social Impact.

Business Analytics focuses on:

• Machine learning in business
• Business intelligence
• Data visualisation
• Predictive analytics
• Artificial intelligence
• Big Data
• Cloud enterprise systems
• Mobile business applications
• Social media.

Programme Highlights

• Master of Supply Chain Innovation with Business Analytics specialisation.
• 200 credit points.
• Standard 2-year duration.
• Possible 1-year or 1.5-year advanced-standing pathways.
• Hawthorn campus.
• Blended delivery.
• CRICOS code 102654B.
• Business Analytics specialisation with six available specialist units.
• Supply Chain Innovation Project involving industry-based problems.
• Industry collaboration with organisations including CEVA Logistics, Tableau, Vative and GS1 Australia.
• Lean Six Sigma Green Belt accreditation/certification incorporated into the course.
• GS1 certification is identified by Swinburne's Australian Graduate School of Entrepreneurship as an external accreditation available through the supply-chain courses.
• AACSB accreditation/recognition associated with Swinburne's business education.

Career Outcomes

Swinburne identifies potential career roles including:

• Supply chain manager
• Procurement manager
• Logistics manager.

The combination of supply chain and Business Analytics can also support career areas involving:

• Supply chain analytics
• Business intelligence
• Data analysis
• Procurement analytics
• Logistics analytics
• Operations management
• Digital supply chain transformation
• Business information systems
• Predictive analytics
• AI-enabled supply chain decision-making.

Latest Updates / Special Requirements

The latest published 2027 information confirms:

• Semester 1 commencement: 1 March 2027.
• Semester 2 commencement: 2 August 2027.
• Semester 1 application deadline: 24 February 2027.
• Semester 2 application deadline: 28 July 2027.
• Location: Hawthorn.
• CRICOS: 102654B.
• Course code: MA-SCI1. 

International Student Visa Requirements

The relevant Australian visa is generally the Student visa (subclass 500).

Key requirements include:

• A valid enrolment in the course.
• Confirmation of Enrolment (CoE).
• Meeting the Genuine Student requirement.
• Meeting applicable financial-capacity requirements.
• Meeting applicable English-language requirements or qualifying for an exemption.
• Meeting health and character requirements.
• Maintaining appropriate Overseas Student Health Cover (OSHC).
• Complying with the conditions attached to the individual Student visa.