Master of Business Analytics

What you will study

The course totals 72 credit points and consists of 11 core subjects. Each subject is valued at six credit points, unless otherwise stated.

Core subjects

• Business Analytics Foundations
• Data Governance and Regulation
• Database
• Financial Analytics
• Customer Analytics
• Data Visualisation and Visual Analytics
• Python Programming for Data Processing
• Advanced Data Analytics Algorithms
• Studio 1: Foundation
• Studio 2: Specialisation
• Studio 3: Innovation (12 credit points)

Entry requirements

Applicants must have the following:

• Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a related field of study with more than 75% of all subjects completed at pass level (conceded pass not included).

Related fields of study:

Accounting, banking, commerce, computer engineering, computer science, data science, economics, finance, information systems, management, marketing, project management or other related field of study (e.g. engineering) with sufficient background in business, database or computer programming.

Applicants who do not meet the criteria above should consider applying for Graduate Certificate in Business Analytics.

English language requirements

The English proficiency requirement for international students or local applicants with international qualifications is:

• IELTS Academic: 6.5 overall with a writing score of 6.0.
• TOEFL iBT: 79-93 overall with a writing score of 21.
• AE5: Pass.
• PTE: 58-64 with a writing score of 50.
• C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

Recognition of Prior Learning

Outcomes

Career outcomes

Career options are incredibly varied as virtually every company in every industry now collects huge amounts of data that needs to be interpreted and analysed to inform decision-making. Graduates from this program are able to provide valuable insights on matters such as fraud detection, logistics optimisation, customer acquisition and retention; and demand forecasting.

Learning outcomes

• Evaluate the assumptions implicit in data and apply analytical techniques to create innovative business solutions.
• Communicate complex data-informed decisions clearly in written, verbal and visual form to a range of business stakeholders.
• Collaborate with colleagues and a range of stakeholders to deliver negotiated business outcomes.
• Critically evaluate data practices and use these insights to improve analytical processes which drive positive and equitable outcomes.
• Integrate advanced data analysis techniques with business practices to deliver new insights that drive effective decision-making in local and international contexts.
• Critically reflect on the rights to consent, privacy, data sovereignty and self-determination to work ethically with and for Indigenous Australians as business analytics professionals.