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 learning outcomes
- Design data analytics solutions to complex industry problems by selecting appropriate data sources and analytic techniques.
- Apply statistical models and machine learning algorithms to analyse complex datasets across diverse business and industry contexts.
- Develop computational and programming solutions to implement data analytics workflows on complex datasets.
- Evaluate the validity, performance, and limitations of data analytic models through appropriate diagnostic and validation procedures.
- Produce data visualisations that communicate analytical findings clearly to specified audiences.
- Produce written communications on complex data analytics work that clearly convey methodology, findings, and recommendations to both technical and non-technical professional audiences.
- Communicate complex data analytics work orally to both technical and non-technical professional audiences, using visual and presentation tools to support audience understanding.
- Apply ethical, regulatory, and responsible practice principles to data analytics work, including considerations of privacy, bias, and algorithmic accountability.
- Collaborate effectively with others to develop business systems and plans for their implementation.
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