LLB250 Data Privacy and Cybersecurity
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | LLB250 |
|---|---|
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $2,124 |
| Pre-2021 CSP student contribution | $1,663 The pre-2021 commonwealth supported place (CSP) contribution amount only applies to students enrolled in a course prior to 2021. To learn more, visit our Understanding your fees page. |
| Domestic tuition unit fee | $3,204 |
| International unit fee | $4,368 |
Unit Outline: Semester 1 2025, Gardens Point, Internal
| Unit code: | LLB250 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | LLB101 |
| Coordinator: | Henry Fraser | h5.fraser@qut.edu.au |
Overview
We live in an era where major advances in data-driven technologies and infrastructures are fundamentally changing many aspects of society. How data is collected, combined and stored in large, complex data sets; and subsequently modelled, analysed and used to drive decision-making, is now crucial to many organisations and how they deliver the services we depend on. In this unit, you will explore in two parts the legal and regulatory challenges involving data privacy and cybersecurity. The first centres on how data privacy law provides individual protection in the face of large-scale collection and aggregation of personal information. The second explores cybersecurity requirements that underscore our need to protect data infrastructure, such as essential telecommunications networks. Understanding the application of data privacy and cybersecurity law provides you with insight into how data-driven technologies and infrastructures are governed in different ways, for diverse purposes.
Learning Outcomes
On successful completion of this unit you will be able to:
- Apply the legal and regulatory rules that govern the collection, storage, and use of data (CLO 1.1, 1.3 )
- Evaluate the application of different legal and regulatory frameworks regarding data-driven technologies and infrastructures at individual and infrastructure levels (CLO 1.3, 3.1, 3.2)
- Communicate the legal and social issues raised by data-driven technologies and infrastructures (CLO 1.3, 4.1)
- Critically evaluate the legal and social risks and policy impacts of mass data collection, storage and use involving individual legal protections and societal public policy issues (CLO 1.3, 2.3, 3.1)
Content
The content of this unit includes:
- Introduction to the legal and regulatory issues raised by new data collection technologies and infrastructures
- Realising societal benefits of data use while protecting individual privacy
- The legal obligations governing data privacy and cybersecurity
- Evaluating the legal and social risks that arise from the mass collection, storage and use of personal information at the individual and infrastructural levels
Learning Approaches
This unit employs case study and inquiry-based learning approaches to structure and conceptualise the unit content and to engage you in learning. The learning experiences provide you with the chance to think creatively and produce material evidence of your preparedness for legal pathways in a rapidly evolving technology field.
This unit employs an active and collaborative approach to learning. It involves an online, self-led learning practice and live workshops where you will learn from experts and your peers. Prior to live workshops, you will be supported and engaged in this unit through the delivery of weekly material, interactive quizzes and formative learning activities, and collaborative discussions that will introduce a range of practical and theoretical perspectives.
Your participation in the unit will include:
- Engagement with online materials
- Discussions on online fora and in live workshops
- Collaboration with peers and experts to network and share your understandings
Feedback on Learning and Assessment
Students are provided with feedback to assist their learning throughout the semester. The feedback is provided through:
- the discussions in the weekly workshops
- feedback on workshop tasks
- online materials
- the individual feedback provided on assessment with the completed Criteria Referenced Assessment form
- generic feedback posted on the unit's Canvas for each item of assessment
- the option of consultation with a member of the teaching team.
Assessment
Overview
In this unit students are graded on a scale of one to seven.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Memo
Acting as a legal consultant, you will write a memorandum of advice to a client who is considering new applications of data analysis. Your advice will analyse the opportunities and potential legal and ethical risks, including privacy concerns and provide recommendations.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Essay
You will write an essay that critically examines the legal and social risks and the public policy impacts that could arise from a data breach case study. You will identify and examine potential risks, impacts and/or concerns based on the application of relevant laws and regulation, such as, the Privacy Act and the EU Cyber Resilience Act.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Risk Assessment Statement
There are no unusual risks in this unit.
Unit Outline: Semester 1 2025, Online
| Unit code: | LLB250 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | LLB101 |
Overview
We live in an era where major advances in data-driven technologies and infrastructures are fundamentally changing many aspects of society. How data is collected, combined and stored in large, complex data sets; and subsequently modelled, analysed and used to drive decision-making, is now crucial to many organisations and how they deliver the services we depend on. In this unit, you will explore in two parts the legal and regulatory challenges involving data privacy and cybersecurity. The first centres on how data privacy law provides individual protection in the face of large-scale collection and aggregation of personal information. The second explores cybersecurity requirements that underscore our need to protect data infrastructure, such as essential telecommunications networks. Understanding the application of data privacy and cybersecurity law provides you with insight into how data-driven technologies and infrastructures are governed in different ways, for diverse purposes.
Learning Outcomes
On successful completion of this unit you will be able to:
- Apply the legal and regulatory rules that govern the collection, storage, and use of data (CLO 1.1, 1.3 )
- Evaluate the application of different legal and regulatory frameworks regarding data-driven technologies and infrastructures at individual and infrastructure levels (CLO 1.3, 3.1, 3.2)
- Communicate the legal and social issues raised by data-driven technologies and infrastructures (CLO 1.3, 4.1)
- Critically evaluate the legal and social risks and policy impacts of mass data collection, storage and use involving individual legal protections and societal public policy issues (CLO 1.3, 2.3, 3.1)
Content
The content of this unit includes:
- Introduction to the legal and regulatory issues raised by new data collection technologies and infrastructures
- Realising societal benefits of data use while protecting individual privacy
- The legal obligations governing data privacy and cybersecurity
- Evaluating the legal and social risks that arise from the mass collection, storage and use of personal information at the individual and infrastructural levels
Learning Approaches
This unit employs case study and inquiry-based learning approaches to structure and conceptualise the unit content and to engage you in learning. The learning experiences provide you with the chance to think creatively and produce material evidence of your preparedness for legal pathways in a rapidly evolving technology field.
This unit employs an active and collaborative approach to learning. It involves an online, self-led learning practice and live workshops where you will learn from experts and your peers. Prior to live workshops, you will be supported and engaged in this unit through the delivery of weekly material, interactive quizzes and formative learning activities, and collaborative discussions that will introduce a range of practical and theoretical perspectives.
Your participation in the unit will include:
- Engagement with online materials
- Discussions on online fora and in live workshops
- Collaboration with peers and experts to network and share your understandings
Feedback on Learning and Assessment
Students are provided with feedback to assist their learning throughout the semester. The feedback is provided through:
- the discussions in the weekly workshops
- feedback on workshop tasks
- online materials
- the individual feedback provided on assessment with the completed Criteria Referenced Assessment form
- generic feedback posted on the unit's Canvas for each item of assessment
- the option of consultation with a member of the teaching team.
Assessment
Overview
In this unit students are graded on a scale of one to seven.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Memo
Acting as a legal consultant, you will write a memorandum of advice to a client who is considering new applications of data analysis. Your advice will analyse the opportunities and potential legal and ethical risks, including privacy concerns and provide recommendations.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Essay
You will write an essay that critically examines the legal and social risks and the public policy impacts that could arise from a data breach case study. You will identify and examine potential risks, impacts and/or concerns based on the application of relevant laws and regulation, such as, the Privacy Act and the EU Cyber Resilience Act.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Risk Assessment Statement
There are no unusual risks in this unit.