Why Study / Key Benefits

The Master of Project Management is designed to develop advanced knowledge and skills for managing complex and high-value projects across different industries. The course covers project management principles together with resource management, risk management, business analysis, strategy and organisational issues.

The Business Analytics specialisation adds a data-focused dimension to project management. Swinburne describes the specialisation as focusing on extracting insights from data and communicating findings through visualisation techniques, with study involving mobile applications, social media, artificial intelligence and Big Data.

Key benefits include:

• Advanced project-management knowledge.
• Business analytics and data-visualisation skills.
• Exposure to machine learning in business.
• Study of AI and Big Data applications.
• Development of leadership and stakeholder-management skills.
• Project planning, risk and resource-management capabilities.
• Opportunities to undertake an internship project as part of the Business Analytics specialisation.
• Professional alignment with the Australian Institute of Project Management (AIPM), together with AACSB and Vative professional accreditations/recognition associated with the course

Programme Structure and Subjects / Topics

The 200-credit-point master's degree is structured around foundation, core and specialisation units.

Foundation units:

• Business Information Systems – INF60007
• Governing Technology for Business Environments – INF80042
• Business Sustainability and Social Impact – MGT60042
• Future Management Skills – MGT60043

Core units:

• Strategic Project Management – INF70005
• Project Management for Innovative Outcomes – PRM60002
• The Risk Management Spectrum – PRM60003
• Operations Management – SCM60001
• Leading Complex Projects – PRM70002
• Project Governance and Resource Management – PRM80002
• Enterprise Project – PRM80001
• Six Sigma Lean Green Belt – SCM60002.

Business Analytics specialisation:

Students select four units from the Business Analytics specialisation:

• 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 wider Master of Project Management currently provides a range of specialisation areas, including:

• Accounting
• Business Analytics
• Business Information Systems
• Digital Marketing
• Entrepreneurship
• Finance
• Financial Technologies
• Human Resource Management
• International Business
• Research
• Social Impact
• Supply Chain Innovation.

Programme Highlights

• 200-credit-point master's degree.
• Standard duration of 2 years full-time.
• Fast-track options of 1 year or 1.5 years may be available depending on prior qualifications and experience.
• Business Analytics specialisation.
• Hawthorn campus.
• Blended course delivery.
• Business analytics units covering AI, Big Data, predictive analytics and data visualisation.
• Business Information Systems Internship Project available within the specialisation.
• Enterprise Project.
• Six Sigma Lean Green Belt unit.
• Professional alignment/accreditation with the Australian Institute of Project Management.
• AACSB and Vative professional accreditation/recognition associated with the course.

Career Outcomes

Swinburne identifies potential career roles for Master of Project Management graduates including:

• Project Assistant
• Project Officer
• Project Coordinator
• Project Associate
• Consultant
• Delivery Lead
• Delivery Director
• Project Manager
• Project Director
• Program Manager
• Program Director
• Project Management Office Manager
• PMO Head/Director
• Product Manager
• Business Analyst
• Agile Coach
• Scrum Master
• Facilitator.

The Business Analytics specialisation can additionally support roles involving:

• Business intelligence
• Data analysis
• Data visualisation
• Predictive analytics
• Digital transformation
• AI-enabled business analysis
• Analytics consulting.

Latest Updates / Special Requirements

The current course information confirms:

• Course code: MA-PM1
• CRICOS code: 102653C
• Standard duration: 2 years full-time
• Total course requirement: 200 credit points
• Hawthorn campus
• Business Analytics specialisation. 

International Student Visa Requirements

The relevant Australian visa for an international student undertaking this CRICOS-registered course in Australia is generally the Student visa (subclass 500).

Key requirements include:

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