This course is part of Cybersecurity.
This advanced course provides comprehensive training in information security risk management frameworks and methodologies. Students learn to identify, model, and assess cybersecurity risks using both qualitative and quantitative approaches. The curriculum covers risk analysis, assessment, and mitigation strategies, while exploring the intersection of information security with big data and artificial intelligence. Through industry case studies, students learn to evaluate business impacts and articulate security risks to stakeholders. Part of RIT's Cybersecurity MicroMasters Program, this course is essential for information security professionals.
4.2
(14 ratings)
30,564 already enrolled
Instructors:

Tong Sun
English
English
What you'll learn
Master information security risk management frameworks and methodologies
Develop skills in identifying and modeling information security risks
Apply both qualitative and quantitative risk assessment methods effectively
Learn to articulate security risks in business terms
Understand data-driven risk analytics using machine learning approaches
Skills you'll gain
This course includes:
Live video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 7 modules in this course
The course provides comprehensive coverage of cybersecurity risk management, focusing on both theoretical frameworks and practical applications. Starting with information security evolution, it progresses through risk management processes and methodologies. Students learn to differentiate between qualitative and quantitative risk assessments, define security metrics, and implement analysis techniques. The curriculum includes automated metrics calculations and tools, culminating in the study of real-world industry cases. Special emphasis is placed on connecting technical risks to business impacts through data-driven analytics and machine learning approaches.
Evolution of Information Security
Module 1
Risk Management Process Framework and Life Cycle
Module 2
Quantitative versus Qualitative Risk Assessment
Module 3
Defining Information Security Metrics
Module 4
Analysis Techniques
Module 5
Automating Metrics Calculations and Tools
Module 6
Industry Case Studies
Module 7
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Cybersecurity
Payment options
Financial Aid
Instructor

Tong Sun
5 Courses
Leading Expert in Cybersecurity and Machine Learning at RIT
Dr. Tong Sun, an adjunct professor in Computing Security at Rochester Institute of Technology and leader of the data analytics research lab at PARC, Xerox Company, specializes in machine learning, social media data mining, distributed service computing, and cybersecurity. With a Ph.D. in Electrical & Computer Engineering from the University of Rhode Island and an MS in Artificial Intelligence from Huazhong University of Science and Technology, Dr. Sun has contributed significantly to modeling user interests and community interactions using machine learning.
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Frequently asked questions
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