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Programme Outlines and Overviews

Cybersecurity and AI 7.5 credits

Course content

The course provides a comprehensive overview of the intersection of cybersecurity and AI. It introduces core AI and ML concepts and their applications within the cybersecurity domain. It covers how adversaries exploit AI technologies to conduct sophisticated cyber-attacks such as personalised phishing, deepfake generation, and automated hacking techniques. Concurrently, the course explores defensive strategies utilizing AI/ML, including anomaly detection, behavioral analytics, and automated log analysis for threat detection and incident response. The course includes the following elements: - Fundamentals of AI and ML - AI/ML-driven offensive cybersecurity techniques (e.g. personalized phishing and social engineering, deepfakes and misinformation, automated attack strategies, - AI/ML-driven defensive cybersecurity techniques (e.g. intrusion detection systems, behavioral and anomaly detection, automated analysis and response, and ethical and societal impacts of AI in cybersecurity

Entry requirements

Passed courses at least 90 credits within the major subject in Computer Science, Informatics, Information Systems, Computer Engineering, or the equivalent, and taken course Cybersecurity Overview, 7,5 credits or the equivalent. Proof of English proficiency is required.

Level: Second cycle

Course/Ladok-code: T2COAE

School: School of Engineering

Course information

  • Type of courseProgramme instance course
  • Type of instructionNormal teaching
  • Semester
    2026 Week 44 - 2027 Week 2
  • Study pace50%
  • LocationJönköping
  • Teaching hoursDay-time
  • Tuition feeApplies only to students outside the EU/EEA/Switzerland.21375 sek
  • Course SyllabusHTML (English)PDF (English)
  • Occasion codeT1034
Content updated 2013-07-31