Choose Rewarding Careers in Business Analytics:

  • Business Analyst

  • Business intelligence analyst

  • Machine learning and AI Consultant

  • Data scientist   

CRICOS Provider Number 00124K    |    RTO Code 3113

Victoria University

  • Course: Master of Business Analytics

  • CRICOS Course Code: 103256H

  • Duration: 2 Years (4 Semesters)

  • Location: City Flinders Campus, Victoria

  • Intakes: July & November 2021; February, July & November 2022

  • Course Fees:

    • 2021 Original Tuition Fees: AUD 15,300 / semester

    • First Year Scholarship for Enrolment in 2021 Only:
      • AUD 12,240 / semester (x2) (after 20% Tuition Scholarship) 
    • Second Year Scholarship (condition applies):
      • AUD 13,770 / semester (x2) for second year tuition fees (after 10% scholarship, conditional upon good academic performance) 
    • 2022 Course Fees may be subject to changes.

Course Entry Requirements:

  • Successful completion of an Australian Bachelor degree (or equivalent) in a similar discipline; OR

  • Successful completion of an Australian Graduate Diploma (or equivalent) in a similar discipline; PLUS

  • IELTS Academic Overall6.5 (with no band less than 6.0 in Listening, Reading, Writing and Speaking).

You will study a range of Business Analytics Skills:

  • Using open-source environments, R and Python, you'll discover the principles of data science, DataViz, machine learning, and Artificial Intelligence (AI) – and how to turn these principles into business profit.

  • Learn about data wrangling and predictive analytics and big data.

  • Learn about artificial intelligence, machine learning for business as well as data security and governance.

  • Focus on business data mining and warehousing as well as IT project management.

Core Units of This Course:

  • Accounting for Management

  • Data Analysis for Business

  • Business Economics

  • Work and Organisation Systems

  • 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

  • Business Ethics and Sustainability

  • Applied Business Project