AI-cybersecurity
In today's rapidly evolving cyber threat landscape, understanding the intersection of AI and cybersecurity is essential. This course teaches how to apply AI and machine learning techniques to strengthen cybersecurity, including risk identification and mitigation, threat detection and prevention (such as malware classification and phishing detection), and addressing security issues like data poisoning and adversarial attacks. It also covers the ethical considerations of using AI in cybersecurity.
Occasions for this course
Autumn semester 2025
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Scope
7.5 credits
Time
2025-11-10 - 2026-01-18 (part time 50%)
Education level
Second cycle
Course type
Freestanding course
Application code
MDU-24061
Language
English
Study location
Eskilstuna
Course syllabus & literature
See course plan and literature list (DVA512)Specific requirements
90 credits completed courses of which at least 60 credits in Computer Science, including 15 credits in programming. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Selection
University credits