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.

Key Features

• 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.

• 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