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Data Analytics

Learning outcomes

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

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