Master of Business Analytics

All applicants:

1.5-year full-time or part time equivalent

To be considered for admission to this degree (with 60 credit points of admission credit applied) you will need to meet at least one of the following criteria:

• completion of an Australian bachelor's degree (or equivalent) or higher qualification in Business Analytics, Data Analytics, Data Science, Computer Science, Information Systems, or Information Technology within the last five years. If the qualification is older, applicants must have a minimum of two years of recent and *relevant work experience.

****Relevant work experience:***Applicants applying based on work experience are required to provide a detailed Resume, outlining their employment history and relevant work experience. Relevant work experience is business experience in a managerial or leadership position with business oversight

2-year full-time or part time equivalent

To be considered for admission to this degree you will need to meet at least one of the following criteria:

• completion of an Australian bachelor degree or equivalent in any discipline.

OR

• completion of the Postgraduate Qualifying Program (Information Technology Stream) (PPN001)

International students:

English language requirements

6.5 IELTS (Academic) with no individual band less than 6.0.

The need for analytics professionals is at an all-time high. Organisations of all sizes are seeking to understand the massive amounts of data now at their disposal. After graduation, you could work across a wide range of sectors in roles such as:

• Data Analyst
  • Leverage advanced analytics, artificial intelligence, data modelling, and visualisation to extract insights from complex data and support informed decision-making. Build effective data models and create clear, impactful visuals to communicate findings and drive business value.
• Business Analyst
  • Analyse business contexts to identify problems and opportunities, using data-driven methods to inform decisions and optimise processes.
• Report Analyst
  • Use and apply data analytics tools and platforms to generate management and operational reports, actionable insights and inform executive decision-making.
• Data Engineer
  • Design and maintain scalable, cloud-based data infrastructure, including data warehouses and pipelines, to enable secure, reliable, and efficient access to analytics-ready data across the organisation.
• Gen AI Specialist
  • Adopt and apply prompting techniques, generative AI models, and AI-assisted coding to develop business solutions and optimise business efficiencies.
• Analytics and AI Consultant
  • Design and evaluate AI-enabled business solutions with a focus on cybersecurity and ethics.