Victoria University

Master of Business Analytics

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Gain in-demand, practical skills for a rewarding career applying data to solve business problems.

Course overview

In an era where information and data are central to business, the Master of Business Analytics will teach skills you can apply every day to solve business problems, create new opportunities and run the market.

You'll discover the principles of data science, data visualisation, machine learning and Artificial Intelligence (AI). Using open-source environments R and Python and cloud platforms at AWS and Github – and through our global partnership with SAP – you'll gain practical, useful skills. More importantly, you'll learn how to turn these principles and skills into business profit.

Building on our strong connections with local businesses and international partners, our course gives you hands-on experience and a true feel for using data to solve real-world problems. You will develop a portfolio of projects to present in job applications, based on our continuous review of recent job market demands. Plus, you will have plenty of opportunities to network with industry experts and learn from mentors, supported by our Postgraduate Data Analytics association.

The Master of Business Analytics course covers the following areas:

  • Data wrangling and visualisation
  • Predictive analytics and big data
  • Artificial intelligence and machine learning for business
  • Data security and governance
  • Cloud technology
  • Business data mining and warehousing
  • IT project management

Key facts

Delivery
Face to Face
More Information
Delivered in hybrid mode, where part of the course is completed online.
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $4,313
More Information
Prices are calculated based on a first-year and full-time study load of eight units.
Campus
Brisbane
City
Sydney
Intake
24th November, 2025
16th February, 2026
27th April, 2026
27th July, 2026
28th September, 2026
Units
16
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To attain the Master of Business Analytics, students are required to complete 192 credit points consisting of:

  • 48 credit points of college core units
  • 96 credit points of professional core units
  • 12 credit points for the Business Ethics and Sustainability unit
  • 12 credit points for the Applied Business Project (Capstone) unit
  • 24 credit points of elective units.

College core units

  • Accounting for Management
  • Data Analysis for Business
  • Business Economics
  • Work and Organisation Systems

Professional core units

  • Predictive Analytics
  • Business Analytics and Visualisation
  • Experience Management
  • Analytics Project Management
  • Business Data Mining and Warehousing
  • Data Security and Governance
  • Coding for Business Analytics
  • Artificial Intelligence and Machine Learning for Business

Core units

  • Business Ethics and Sustainability
  • Applied Business Project

Elective units

Students must complete 24 credit points of elective units.

Entry requirements

To be considered for postgraduate study, you will need to have specific academic qualifications, as outlined below. Victoria University also considers non-academic research and work experience for research candidates.

Admission criteria

Applicants must have one of the following:

  • Completion of an Australian Bachelor's degree (or equivalent) in a any discipline.
  • Completion of an Australian Graduate Diploma (or equivalent) in a similar discipline.
  • Applicants without an undergraduate qualification may be admitted to the Graduate Diploma based on approved work experience. Upon completion of the Graduate Diploma, graduates will be eligible for admission to this course with credit granted for completed units.

Special entry programs

If you are from a disadvantaged or underrepresented social, economic or cultural background, you may be eligible for one of the university's special admission programs. These programs are designed to help you access education more easily.

Recognition of Prior Learning

You may receive credit for your previous study, reducing the time it takes to complete your course.

Pathways from other institutions

Any study completed at another institution will be considered in your application.

Credit for skills and past study

Applicants with an Australian bachelor's degree (or equivalent) or higher in a similar discipline may be eligible for an exemption of 48 credit points of study.

Contact the university for more information.

Outcomes

Learning outcomes

On successful completion of this course, students will be able to:

  • Critically reflect upon theoretical approaches and analyse their application to achieve effective use of Business Intelligence/Business Analytics to support operations and management practice.
  • Justify and interpret theoretical propositions and related bodies of knowledge to critically evaluate the resolution of business problems and make recommendations relevant to contemporary Business Intelligence/Business Analytics Systems.
  • Critically reflect on cross-disciplinary knowledge in decision making associated with the selection, implementation and use of Business Intelligence/Business Analytics Systems for emerging contexts.
  • Exhibit accountability in autonomous and collaborative judgements and innovative strategic thinking in response to contemporary and future business Intelligence/business analytics challenges.
  • Formulate, implement and evaluate industry-specific investigations to resolve complex professional problems and inform decision-making, drawing on Business Intelligence/Business Analytics Systems and associated Information Systems.
  • Articulate effectively with specialist and non-specialist audiences, including multi-disciplinary teams, diverse cultural communities and business and other professional organisations, regarding Business Intelligence and Analytics.
  • Propose and execute a substantial research-based project or evidence-based capstone experience linked to a contemporary Business Intelligence/Business Analytics System to generate and evaluate complex ideas and concepts at abstract and practical levels.
  • Exemplify initiative and inspirational leadership in a contemporary work environment, acting consistently, ethically and socially responsibly.

Career outcomes

The Master of Business Analytics prepares you for positions including:

  • Business analyst
  • Business intelligence analyst
  • Machine learning and AI consultant
  • Data scientist

Fees and FEE-HELP

Indicative fee per unit in 2026: $4,313 (domestic full-fee paying place)

Indicative full fee in 2026: $34,500 per year (domestic full-fee paying place)

Full-fee courses are not government subsidised. You will pay the total cost of each unit.

A student’s fee may vary depending on:

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

You may also need to pay the student services and amenities fee.

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

FEE-HELP loans are available to assist eligible full-fee paying domestic students.