Students
Tuition Fee
AUD 18,200
Per semester
Start Date
2027-02-16
Medium of studying
Blended
Duration
2 years
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 18,200
Intakes
Program start dateApplication deadline
2026-02-16-
2027-02-16-
About Program

Program Overview


Master of Business Analytics

The Master of Business Analytics is a postgraduate degree offered by Victoria University. The course code is BMBU, and the CRICOS code is H, M. The level of study is postgraduate, and the duration is 2 years.


Duration and Delivery Mode

The Master of Business Analytics is a 2-year program with a hybrid delivery mode.


Fees

The tuition fee for the Master of Business Analytics is AU$18,200 per semester for the 2025 academic year and AU$19,100 per semester for the 2026 academic year.


Location and Next Start Date

The program is located at the City Tower campus, and the next start date is 16 February 2026.


Overview

The Master of Business Analytics program is designed to provide students with practical skills in applying data to solve business problems. The program covers various areas, including:


  • Data wrangling and visualization
  • 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

Learning Outcomes

Upon successful completion of the program, students will be able to:


  1. Critically reflect upon theoretical approaches and analyze their application to achieve effective use of Business Intelligence/Business Analytics to support operations and management practice.
  2. 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.
  3. Critically reflect on cross-disciplinary knowledge in decision making associated with the selection, implementation, and use of Business Intelligence/Business Analytics System for emerging contexts.
  4. Exhibit accountability in autonomous and collaborative judgments and innovative strategic thinking in response to contemporary and future business Intelligence/business analytics challenges.
  5. 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.
  6. Articulate effectively with specialist and non-specialist audiences, including multi-disciplinary teams, diverse cultural communities, and business and other professional organizations in regards to Business Intelligence and Analytics.
  7. 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.
  8. Exemplify initiative and inspirational leadership in a contemporary work environment, acting consistently, ethically, and socially responsibly.

Entry Requirements

To be considered for the Master of Business Analytics program, applicants must meet the following entry criteria:


  • Completion of an Australian Bachelor degree (or equivalent) in any discipline.
  • Completion of an Australian Graduate Diploma (or equivalent) in a similar discipline.
  • IELTS (or equivalent): Overall score of 6.5 (with no band less than 6.0 in Listening, Reading, Writing, and Speaking).

Special Entry Programs

The university offers special admission programs for students from disadvantaged or underrepresented social, economic, or cultural backgrounds.


Credit and Entry Pathways

Applicants who do not meet the entry requirements may be eligible for an alternative study pathway. Credit may be granted for previous study or work experience, reducing the time it takes to complete the course.


Course Structure

To attain the Master of Business Analytics, students must complete 192 credit points, consisting of:


  • 48 credit points college core units
  • 96 credit points professional core units
  • 12 credit points BMO5501 Business Ethics and Sustainability
  • 12 credit points BMO7006 Applied Business Project (Capstone)
  • 24 credit points elective units

Units

The program includes the following units:


College Core Units

  • Accounting for Management (BAO6504, 12 credits)
  • Data Analysis for Business (BEO6000, 12 credits)
  • Business Economics (BEO6600, 12 credits)
  • Work and Organisation Systems (BMO6506, 12 credits)

Professional Core Units

  • Predictive Analytics (BCO6008, 12 credits)
  • Business Analytics and Visualisation (BCO7000, 12 credits)
  • Experience Management (BCO7002, 12 credits)
  • Analytics Project Management (BCO7003, 12 credits)
  • Business Data Mining and Warehousing (BCO7004, 12 credits)
  • Data Security and Governance (BCO7005, 12 credits)
  • Coding for Business Analytics (BCO7006, 12 credits)
  • Artificial Intelligence and Machine Learning for Business (BCO7007, 12 credits)

Core Units

  • Business Ethics and Sustainability (BMO5501, 12 credits)
  • Applied Business Project (BMO7006, 12 credits)

Fees and Scholarships

The university offers various scholarships, including the VU Block Model International Scholarship, which provides up to 30% off tuition fees for the entire first year of study.


Fees

The tuition fee for international students is AU$18,200 per semester for the 2025 academic year and AU$19,100 per semester for the 2026 academic year.


Careers

The Master of Business Analytics program prepares students for various career paths, including:


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

Graduates of the program have been employed by companies such as Accenture, AGL, BHP, and IBM.


See More