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Updated in [June 30th, 2023]

This course provides an overview of Cybersecurity Risk Management. Students will learn the principles of risk management, including risk analysis, risk assessment, and risk mitigation. They will also learn to identify information security related threats and vulnerabilities, determine the risk level, define controls and safeguards, and conduct cost-benefit analysis or business impact analysis. Additionally, students will explore the qualitative and quantitative frameworks for assessing information security risk, as well as data mining and machine learning approaches for data-driven risk analytics. Through a series of extended case studies, students will gain an understanding of the principles, frameworks, and analytical methods in actual examples. This course is part of the RITx Cybersecurity MicroMasters Program.

[Applications]
Upon completion of this course, students will be able to apply the principles of risk management to identify and model information security risks, and apply both qualitative and quantitative risk assessment methods. They will also be able to articulate the business consequences of identified information security risks, and understand the relationship between IT risk and business value. Additionally, they will be able to apply data mining and machine learning approaches to data-driven risk analytics.

[Career Path]
Job Position Path: Cybersecurity Risk Manager
Description: Cybersecurity Risk Managers are responsible for identifying, assessing, and mitigating risks associated with information security. They are responsible for developing and implementing risk management strategies and policies, as well as monitoring and reporting on the effectiveness of those strategies. They must be able to identify potential threats and vulnerabilities, and develop plans to address them. They must also be able to analyze data and develop reports to present to senior management.

Development Trend: With the increasing complexity of cyber threats, the demand for Cybersecurity Risk Managers is expected to grow. As organizations become more aware of the need for effective risk management, they will be looking for professionals with the skills and knowledge to develop and implement effective strategies. Additionally, the use of data analytics and machine learning to identify and mitigate risks is becoming more common, and Cybersecurity Risk Managers must be able to use these tools to their advantage.

[Education Path]
The recommended educational path for learners of this course is to pursue a degree in Cybersecurity Risk Management. This degree program typically consists of courses in risk management, information security, data mining, machine learning, and artificial intelligence. Students will learn the principles of risk management, how to identify and model information security risks, and how to apply both qualitative and quantitative risk assessment methods. They will also gain an understanding of the relationship between IT risk and business value, and how to conduct cost-benefit analysis and business impact analysis. Additionally, they will explore the intersection of information security, big data, and artificial intelligence.

The development trend of this degree program is to focus on the practical application of the principles and frameworks learned in the classroom. Students will be expected to apply their knowledge to real-world scenarios and develop the skills necessary to become successful information security professionals. As the field of cybersecurity continues to evolve, the degree program will also evolve to keep up with the latest trends and technologies.