Master of Business Analytics

What you will study

To earn the Master of Business Analytics, you must successfully complete units totalling 8, 12 or 16 credit points, depending on your entry point and approved Recognition of Prior Learning, as detailed below. Unless otherwise noted, each course is worth 1 credit point.

The structure below represents the full 16-credit-point course.

Entry requirements

Academic requirements

1.5 years full-time (or part-time equivalent) – 12 credit points

Applicants must meet at least one of the following requirements:

• Completion of a bachelor’s degree or higher in a related discipline.
• Completion of a bachelor’s degree or higher in any discipline and at least two years of relevant work experience, or part-time equivalent.

Related disciplines may include information systems, information technology, computer science, mathematics or statistics. A bachelor’s degree containing a relevant major or minor may also be considered.

Relevant experience may include work involving data-driven decision-making, analytics, business intelligence, consulting, information systems, data science or operations research. Experience in financial, marketing, cybersecurity or supply chain analytics may also be relevant, as may project management, product management or business strategy roles with a strong data-analysis component.

2 years full-time (or part-time equivalent) – 16 credit points

Applicants must have completed:

• A bachelor’s degree or higher in any discipline.

Potential reduced course duration – 8 credit points

Previous qualifications and professional experience may be considered for Recognition of Prior Learning and could reduce the course to 8 credit points. Eligibility, the amount of credit awarded and the resulting course duration are assessed individually.

English language requirements

Applicants must provide evidence of at least one of the following:

• A bachelor’s degree completed in a recognised English-speaking country.
• An IELTS overall score of 6.5, with no individual band score below 6.0, or an accepted equivalent.
• Other accepted evidence of English language proficiency.

Contact the university for further information.

Selection is based on a holistic consideration of academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements and individual circumstances. Applicants must meet the minimum academic and English language requirements to be considered for admission. Meeting these requirements does not guarantee admission.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Learning outcomes

• Show a specialised and integrated understanding of contemporary body of knowledge of business analytics to research, design and implement projects with creativity and initiative
• Interpret specialised knowledge and effectively communicate complex business analytics findings to both specialists and non-specialists
• Expertise in using business analytics technologies to independently source information, analyse complex business data and disseminate finding
• Evaluate complex business information using specialised and advanced critical and analytical thinking and judgement
• Use research skills and analytics techniques to interpret data, analyse business environments, and develop advanced solutions for authentic (real world and ill-defined) problems
• Show autonomy, adaptability and responsibility, self- reflect and critique own performance and identify and plan future development as a business analytics professional
• Collaborate constructively in teams to produce and share specialised and integrated analytic solutions to complex business problems
• Engage ethically and productively in a business analytics professional context with diverse communities and cultures in a global context

Career outcomes

Graduates can pursue roles that connect advanced analytics with commercial strategy and organisational decision-making. Career opportunities across finance, retail, health, telecommunications, mining, government and technology, including:

• Business intelligence analyst
• Artificial intelligence engineer
• Business data scientist
• Analytics project manager
• Data analyst
• Market research analyst
• Customer experience analyst
• Risk and compliance analyst
• Artificial intelligence governance consultant
• Business intelligence developer
• Data modeller
• Data engineer

Fees and CSP

Indicative annual fee in 2026: $8,337  (Commonwealth Supported Place)

Indicative annual fee in 2026: $32,800 (Full-fee paying place)

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

• The number of units studied.
• Choice of units.
• Credit from previous study or work experience.
• Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

• Calculated per the course you're enrolled in.
• Dependent on the study areas they relate to.
• Reviewed and adjusted each year.

Student fees shown are subject to change. Contact the university directly to confirm.

HECS-HELP loans are available to CSP students to pay the student contribution amount.

FEE-HELP loans are available to assist eligible full-fee-paying domestic students with the cost of a university course.