Master of Artificial Intelligence in Business (MAIB)

The Master of Artificial Intelligence in Business is a two-year coursework master's that sits at the intersection of AI and business strategy. You'll study machine learning, data analytics, and how to apply those tools to real commercial problems, forecasting demand, automating decisions, reading customer behaviour, and figuring out where AI actually pays off for an organisation. Alongside the technical side, there's the business side: strategy, operations, finance, and managing teams through technology change. The aim is to produce people who can talk to both the data scientists and the board.

How the degree is structured

Like most Australian master's degrees, this is built from units of study, each worth a set number of credit points. You accumulate credit points across the two years, usually over four semesters or trimesters, and you need a certain total to graduate. The early stages cover core material, programming for data, statistics, machine learning fundamentals, and business analytics. Later stages let you specialise through electives and move into a capstone project, where you take a real business problem and work through it end to end, often with an industry partner. Some students do a research-based thesis instead if they're heading towards further study.

Skills you pick up

By the end you should be able to build and evaluate machine learning models, clean and interrogate messy business data, and translate findings into recommendations a non-technical manager can act on. You'll also get practice in project management, ethical and regulatory questions around AI, and the kind of communication that gets a proposal approved. Work-integrated learning or an industry placement is common in this field, and it's where a lot of students land their first job offer.

Who it suits

This suits two groups. First, business graduates who want to move into analytics, product, or strategy roles and need the technical grounding to be credible. Second, technical people, engineers, analysts, IT professionals, who want to move into management or consulting and need the commercial vocabulary. If you're already working, the two-year length gives you room to do an internship or a substantial capstone without rushing. International students should note the standard student visa work rights: 48 hours per fortnight during study. After graduating, the Temporary Graduate visa (subclass 485) post-study work stream may be available, depending on your circumstances. Confirm all details, including fees and English requirements, on the official CRICOS listing and the university's own page.

• AI or machine learning consultant, advising organisations on where and how to deploy AI; hired by consulting firms and specialist analytics practices.
• Data analyst or data scientist, building models and dashboards to support decisions; roles sit in banks, insurers, retailers, and government agencies.
• Business intelligence manager, leading reporting and analytics teams; common in large Australian corporates and the public sector.
• Product manager, AI or data products, owning the roadmap for tools that use machine learning; tech companies and digital arms of traditional businesses hire for this.
• Digital transformation or strategy analyst, helping established companies adopt AI and automation; consulting and internal strategy teams.
• Operations or supply chain analyst, using forecasting and optimisation models; logistics, mining, agriculture, and manufacturing in Australia.
• Risk and compliance analyst, AI governance, assessing model risk and regulatory exposure; growing demand in financial services and government.
• Entrepreneur or startup founder, building AI-enabled products; supported by Australia's startup ecosystem and incubators.