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.
Business analysts help companies improve process efficiencies through the analysis of past data and provide recommendation reports to executives and stakeholders.
A data scientist is responsible for designing and implementing data-based collection and models, creating algorithms and predictive outcomes. Their role encompasses developing tools, automation systems and data frameworks to both frame and solve complex problems.
A statistical analyst uses advanced mathematical techniques to analyse a set of data and draw conclusions. This type of role generally consists of analysing data, using a variety of tools, algorithms, and models, and developing models. You will also be required to interpret data analysis, and produce results and reports for a variety of audiences.
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.
View Master of Business Data Analytics 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.
Take your skill set to the next level
Extend your learning beyond the completion of your degree. Consider progressing on your journey to sharpen your skills and expand your knowledge in business and other specialised areas through these learning opportunities.
High achieving students will be encouraged to complete their Doctor of Philosophy (PhD) with Bond’s Centre for Data Analytics.
Whether you are looking to upskill, advance your career, change direction or dive deeper into a specific area, Bond offers a range of executive training and professional development microcredential courses to help you get ahead.
- Select from a suite of high-quality programs designed in collaboration with industry partners.
- Learn from anywhere in the world, at your own pace.
- Earn a digital certificate for each microcredential.
- Potentially gain credit towards future study at Bond University.