In today’s commercial industries, data analytic skills are highly sought after as they enable organisations to make informed business decisions. A career in business data analytics opens doors for almost every industry imaginable. More businesses today require business analysts, who not only interpret data, but know how to apply data-based modelling to real-life scenarios, in a way that will impact behaviour, and improve business decision-making. These industries include health, sport, climatology, marketing, economics, management, finance, and many more.
Where will your degree take you?
Outcomes
Professional accreditation
Bond Business School is among less than 7% of the world’s 13,000 business programs to have earned accreditation from the Association to Advance Collegiate Schools of Business (AACSB) and less than 2% have earned European Foundation for Management Development's (EFMD) European Quality Improvement System (EQUIS) accreditation. Bond Business School is both AACSB and EQUIS accredited placing us in the top 2% of Business Schools in the world.
Bond Business School is also one of four universities in Australia who are members of the Graduate Management Admission Council (GMAC), a tangible statement of the significant contribution our programs make to graduate management education.
Bond Business School is among less than 7% of the world’s 13,000 business programs to have earned accreditation from the Association to Advance Collegiate Schools of Business (AACSB) and less than 2% have earned European Foundation for Management Development's (EFMD) European Quality Improvement System (EQUIS) accreditation. Bond Business School is both AACSB and EQUIS accredited placing us in the top 2% of Business Schools in the world.
Bond Business School is also one of four universities in Australia who are members of the Graduate Management Admission Council (GMAC), a tangible statement of the significant contribution our programs make to graduate management education.
Program learning outcomes
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge, skills and abilities that will be achieved on completion of the program. These outcomes will help you determine whether this program aligns with your professional pathway, career and learning goals.
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View Master of Data Analytics (Professional) learning outcomes
- Identify appropriate data sources and associated analytic techniques to address statistical problems and develop creative and flexible data-based solutions to industry problems.
- Demonstrate proficiency in data visualisation and the application and interpretation of statistical models and machine learning algorithms to solve problems in a variety of contexts and wide range of business disciplines and beyond.
- Perform basic computational and programming tasks associated with the application of data analytics.
- Interpret the output of data analytic models and undertake appropriate diagnostic procedures to assess the appropriateness of the chosen model for the data being analysed.
- Communicate the results of technical analysis to non-technical audiences.
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