MIT9308 Information Assurance and Risk Management
Unit Code
MIT9308
Level
Postgraduate
Campus
Sydney
Prerequisites
MIT8202
Credit Points
10
Subject Description
MIT9308 Information Assurance and Risk Management familiarises students with the essential knowledge and skills to protect organisational information assets and manage risk effectively. It covers the principles and practices of information assurance, focusing on the identification, assessment, treatment, and mitigation of risks. Students will gain a comprehensive understanding of risk management frameworks, including ISO 31000 and industry best practices, and learn how to develop and implement robust risk management strategies. Through a combination of lectures, practical exercises, discussions, and case studies, students will gain experience in applying risk management principles to business scenarios.
Course Level
Level 2
Subject Type
☒ Specialisation (MIT Cybersecurity)
☒ Elective (MIT)
Study Mode: Face to face on site
Study Load: Full-time
Learning Topics
- Information assurance and risk-management principles
- Cybersecurity and risk frameworks
- Asset and risk identification
- Risk analysis, evaluation and treatment
- Business continuity and disaster recovery
Subject Learning Outcomes
- Demonstrate a comprehensive understanding of information assurance principles and their integration with broader risk management strategies.
- Evaluate information assets and associated risks using risk assessment methodologies, including ISO 31000.
- Critically review and revise information risk management strategies and related business continuity plans.
- Design and deploy information assurance and security controls to cover the acquisition, processing, transmission and disposal of information.
- Communicate information risk management strategies, and business continuity plans effectively and persuasively to technical and non-technical stakeholders.
Assessment
AIIHE uses a variety of assessment tools to guide and assess each student’s achievement of the subject learning outcomes. In this subject, students undertake students will be assessed by a portfolio that includes their work on practical exercises, class discussions, and smaller projects related to information assurance and risk management, students analyse a detailed case study focusing on information assurance concepts and the cia triad (confidentiality, integrity, availability), incorporating the principles and guidelines of iso 31000, and students will work in groups to develop a comprehensive risk management plan for a fictional organisation, incorporating the principles and guidelines of compliance, information assurance measures, and iso 31000; and present their work in class. These tasks assess the knowledge, applied skills, critical analysis, communication and collaborative capabilities relevant to the subject.
Summary of Assessment
- Students must attempt all assessment tasks, and achieve an overall mark of at least 50%, to pass this subject.
- Assessment in this subject is consistent with and informed by the AIIHE Assessment Policy and Procedure.
| Assessment Type | Due Date | Weighting |
|---|---|---|
| Assessment 1: Portfolio | Weeks 2 to 12 | 30% |
| Assessment 2: Individual Report | Week 9 | 30% |
| Assessment 3: Group Report and Presentation | Week 12, 13 | 40% |
Learning Resources
AIIHE will update the topic coverage of the subject and the available relevant learning resources at the time of subject delivery. In the interim, AIIHE provides the following indicative list of relevant reference material. AIIHE also subscribes to eLearning Resources through the Canvas portal, and where relevant material is available, AIIHE will seek to source reference material from this system for staff and student access.
Prescribed Reading
- Gordon, A., Memos, Z. (2024). NIST Cybersecurity and Risk Management Frameworks. Packt Publishing.
- Hubbard, D.W., Seiersen, R. (2016). How to measure anything in cybersecurity. John Wiley & Sons.
Texts and References
- Refsdal, A., Solhaug, B., Stolen, K. (2015). Cyber-Risk Management. SpringerBriefs in Computer Science.