Cybersecurity and AI 7.5 credits
Course Contents
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
Prerequisites
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 of Education: Second cycle
Coursecode/Ladok code: T2COAE
The course is conducted at: School of Engineering
Label | Value |
---|---|
Type of course | Programme instance course |
Study type | Normal teaching |
Semester | Spring 2027 |
Study period |
week 12 - week 22
|
Rate of study | 100% |
Language | English |
Location | Jönköping |
Time | Day-time |
Tuition fees do NOT apply for EU/EEA citizens or exchange students | 21375 SEK |
Syllabus (PDF) | |
Application code | HJ-T1026 |