Data Analytics

Learning outcomes

Upon completion of the Graduate Certificate in Data Analytics, graduates will be able to:

No.Course learning outcome
1Demonstrate specialist knowledge of how a range of data sources and analytical methods are used to inform decision making across multiple domains.
2Demonstrate familiarity with the use of appropriate contemporary programming languages to manipulate data and perform statistical analyses.
3Critically assess the strengths and limitations of a range of data analytics approaches.
4Select and apply contemporary data analytics research techniques to investigate social, policy, scientific and organisational problems.
5Synthesise insights from a range of analyses to develop evidence-based solutions to complex problems.
6Critically assess and reflect on the social and ethical implications of data collection and analysis in various contexts.
7Effectively communicate the outcomes and implications of a range of analyses to diverse audiences.

Upon completion of the Graduate Diploma in Data Analytics, graduates will be able to:

No.Course learning outcome
1Demonstrate advanced knowledge of how a range of data sources and analytical methods are used to inform decision making across multiple domains.
2Demonstrate proficiency with the use of appropriate contemporary programming languages to manage and manipulate data and perform statistical analyses.
3Critically assess the strengths and limitations of a range of data analytics approaches.
4Select and apply contemporary data analytics research techniques to investigate social, policy, scientific and organisational problems.
5Synthesise insights from a range of analyses to develop evidence-based solutions to complex problems.
6Critically assess and reflect on the social and ethical implications of data collection and analysis in various contexts.
7Effectively communicate the outcomes and implications of complex analyses to diverse audiences.

Upon completion of the Master of Data Analytics, graduates will be able to:

No.Course learning outcome
1Demonstrate expert and integrated knowledge of how a wide range of data sources and analytical methods are used to undertake research and inform decision making across multiple domains.
2Demonstrate expert-level proficiency in the use of relevant contemporary programming languages to manage data and undertake advanced statistical analyses.
3Critically assess the strengths and limitations of a range of data analytics approaches.
4Select, adapt and apply contemporary data analytics research techniques to investigate social, policy, scientific and organisational problems.
5Synthesise insights from a range of analyses to develop evidence-based and creative solutions to complex problems.
6Critically assess and reflect on the social and ethical implications of data collection and analysis in various contexts.
7Effectively communicate the outcomes and implications of complex analyses to diverse audiences.