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. |
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. |
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. |