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Mälardalen University
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 clas…
- Higher education
- Information unavailable
- 9 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
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.
Admission scores
Entry requirements
90 credits completed courses of which at least 60 credits in Computer Science, including 15 credits in programming. In addition Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-09
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.mdu.dva512.10259.20262
- Last checked
- 2026-09-23T10:38:46.21657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.mdu.dva512.10259.20262
- Offering identity in the source
- e.uoh.mdu.dva512.10259.20262
- Education-form source code
- HS
- Education code in the source
- DVA512
- Change time according to the source
- 2026-02-19T13:10:39
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.