AI-based Risk Assessment and Management, 7.5 hp
This course introduces cybersecurity risk analysis and related AI-driven management concepts, as a foundation for cybersecurity protective mechanisms. AI-based principles and processes used for risk management methodologies are introduced. Comprehensive cybersecurity techniques are practiced to learn about means to protect industrial infrastructure assets. The implication of AI methodologies in cybersecurity management is emphasized through machine learning tasks used to assess vulnerabilities and to prioritize remedial actions to reduce cyber risk.
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
General entry requirements and approved result from the following course/courses: PFC600-Principles of cybersecurity or the equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 October 2026
APPLICATION CODE
HV-E3256
START/END
From v.03 2027 to v.12 2027
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