Applied Business Analytics

Overview

Transform data into decisions with a Master of Applied Business Analytics.

With the Master of Applied Business Analytics, you’ll learn how to develop a strategic mindset that leverages data analytics to drive organisational value and gain a competitive edge.

You’ll learn how to foster and lead a data-driven culture, develop actionable recommendations from predictive insights, and integrate artificial intelligence into your business.

This postgraduate qualification is for strategy and innovation management consultants, IT leaders or professional leaders looking to apply data analytics to businesses to undertake a digital transformation.

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Courses

Master of Applied Business Analytics

Duration:
2 years

Delivery mode:
On campus

Location:
City

Availability:
Full-time
Part-time

Start dates:
March
July
October

SATAC code:
2CM928

Annual indicative fees (2025)
$33,709 (Full fee paying)

Further information on fees listed

Your career

Learn high demand business analytics skills to help unlock your full leadership potential in a range of careers and sectors.

Potential occupations include:

Business analyst
Management consultant
Customer insights analyst
Business development manager
Data analyst
Data visualisation analyst
Financial adviser or analyst
Information technology analyst
Market analyst
Public sector adviser

Potential employers include:

Banks and financial institutions
Business analysis firms
Businesses and corporations
Consulting firms
Government agencies and departments
Insurance firms
Marketing and public relations firms
Retail and e-business companies

What you will study

The Master of Applied Business Analytics generally includes eight topics each year. This depends on how much credit you receive as recognition of prior learning from your professional experience and previous qualifications.

You are introduced to research tools and techniques in core units of the course and learn analytic skills and the practical application of those skills in professional contexts.

First year contains study in Fundamentals of Computing, Business Analytics and Digital Marketing and Analytics. Second year introduces Artificial Intelligence in Business practice, Data Warehousing and Neural Networks and Machine Learning.

Practical experience

The degree provides you with practical experience that prepares you for the workforce where you will have the opportunity to apply knowledge, practice skills and build networks in the industry.

Practical experience requirements

You choose an industry placement or the Leading a Future Workforce topic in second year where you learn to apply new technologies and lead a modern-day workforce.