« Data and Analysis/Data Skills and Literacy for Professionals
Description
This micro-credential examines some of the business and legal consequences of data breaches and cyber attacks. Typologies and examples will provide context to the nature and risk associated with data systems in the context of breach and attack. It will explore the interaction of different legal systems and jurisdictions.
Topics
- Introduction: Data breaches, cyber attacks and their consequences.
- Compliance and Mitigating Legal and Technological Risk and the Cloud.
- Breach notification obligations and responding to a data breach.
- Accessing cloud data and law enforcement
Learning outcomes
Upon successful completion, enrolees will have the knowledge and skills to:
- Demonstrate an ability to understand the complex issues stemming from a data breach including the legal requirements and potential liabilities and the consequences of a breach
- Evaluate legal and policy issues in relation to the re-purposing of private and confidential data for law enforcement purposes
- Critically analyse the intersections with differing policy agendas and identify the different interests underlying law enforcement access to data in the context of the provision of cloud services
- Engage in discussions on the application of key requirements to new technologies and the ongoing policy debates regarding the mitigation of cyber risks
Indicative assessment
1,200 word research piece: 75%; links to Learning Outcomes 1, 2, 3
400 word-equivalent activity; 25%; links to Learning Outcomes 2, 4
Assumed knowledge
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Micro-credential stack information
This micro-credential may be undertaken as a stand-alone course or as part of a "stack". The three M-Cs proposed for this “Ninian Stephen Cyber and the Data Professional” stack are:
- Data Privacy and Confidentiality - Associate Professor Philippa Ryan
- Systems Integrity and Consequences of Breach - Associate Professor Will Bateman
- Emotional Artificial Intelligence and the Law - Dr Damian Clifford
Details
Course Code: DATA17
Workload: 43 hours
- Contact hours: 9 hours
- Individual study and assessment: 34 hours
ANU unit value: 2 units
AQF Level: 9
Contact: Associate Professor Will Bateman, ANU College
This Micro-credential is taught at a graduate level. This is not an AQF qualification.
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