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Macquarie University (MQU)

Sydney , New South Wales ,Australia

Master of Business Analytics

Measuring performance is big business. Today, most of the world’s major companies employ business analytics to gain valuable business insights and get an edge on their competitors. Using data modelling and statistical analysis, business analytics allows companies to measure their past performance, improve efficiency, increase profits, continuously improve, innovate and make educated decisions that drive the organisation forward. 

This comprehensive, flexible degree has a strong focus on the real-world application of business analytics tools and techniques. You’ll develop your knowledge and understanding of computer programming, databases, applied statistics and machine learning techniques applied to big data. You’ll become adept at recognising the importance of ethical reasoning in the solution of analytic-related problems. And you’ll learn how to collaborate and communicate effectively with diverse teams to achieve a range of purposes in different contexts.


  • You’ll apply advanced quantitative data analysis techniques including modern data mining approaches. 
  • You’ll learn how to extract pertinent information from large data sets using advanced database methodology. 
  • You’ll develop your understanding of advanced methods from information technology and their use in supporting business processes. 
  • In your final year, you’ll undertake a research methods project, where you’ll have the opportunity to apply data analytics methodology in a real-world setting. 
  • You’ll have access to our world-class Finance Decision Lab with live data from the world’s leading sources of business intelligence, as well as our on-campus incubator. 
  • Your learning will be enhanced by our location in Australia’s largest high-tech precinct, which is brimming with collaborative, internship and employment opportunities. 
  • Macquarie Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB), so you’ll be studying with a globally recognised institution. AACSB recognises the School wide focus on excellence in teaching, research, curriculum development and student learning.

Campus Information

North Ryde

Sydney New South Wales 2109 Australia


  • Feb Deadline: Dec
  • July Deadline: May

Application Processing Time in Days: 7

Application Process

More Information Required
4 Days
Possible Interview Call from Institution
0 Days
Provisional/Unconditional Offer
7 Days
Visa Process
30 Days
More Information Required
4 Days
Possible Interview Call from Institution
0 Days
Provisional/Unconditional Offer
7 Days
Visa Process
30 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

Career Opportunities

  • Business planning executive 
  • Consumer analyst 
  • Data insights analyst 
  • Data scientist 
  • Data visualisation analyst 
  • Financial analyst 
  • Human resources officer 
  • Information technology analyst 
  • Management consultant 
  • Marketing analyst 
  • Public service adviser


  • Banks 
  • Business analyst firms 
  • Consulting firms 
  • Financial institutions 
  • Government organisations 
  • Insurance companies 
  • Large businesses 
  • Marketing and PR firms 
  • Retail 
  • Small businesses

Admission Requirement / Eligibility Criteria

Depending on your prior qualifications, work experience, or other recognised prior learning, you may qualify for entry to the course at one of the admission points below. 

Each admission point requires the completion of some or all of the course's zones  (see Course Structure) which will affect the overall duration of the course.

Core Zone

  • AQF level 7 bachelor's qualification in a related field or recognised equivalent, which covers study in statistics and/or econometrics with a WAM of +65

Where specified for entry to this course, the following are considered related disciplines of prior study, relevant areas of work experience, professional certification, or other recognised prior learning: