Structure of the Master Specialisation Cyber Security and AI

• NWI-IMC061 Applied Cryptography (6 EC)
• NWI-IMC069 Security and Privacy of Machine Learning (6 EC)
• NWI-IMC070 Deep Learning (6 EC)

• NWI-IMC006 Law and Technology (6 EC)
• NWI-IMC030 Machine Learning in Practice (6 EC)
• NWI-IMC042 Natural Computing (6 EC)
• NWI-NMC048D CDS: Machine Learning (6 EC)
• NWI-IMC056 Statistical Machine Learning (6 EC)
• NWI-IMC062 Advanced Network Security (6 EC)
• NWI-IMC068 Physical Attacks on Secure Systems (6 EC)
• NWI-IMC071 Human-Centered Security and AI (3 EC)
• NWI-IMC074 Online Tracking and Privacy (6 EC)
• SOW-MKI75 Applied Machine Learning (6 EC)

• NWI-IMC072 AI and Security Seminar (6 EC)

• NWI-IMI003 Philosophy and ethics for computing and information science (3 EC)

Research internship (15 EC)
See this page for additional information.

• NWI-IMC047 Research Internship (15 EC)

Master electives (at least 18 EC)
to be chosen from the Computing Science master courses. Courses from other programmes are subject to approval by the Examining Board. Overlap with other courses is not allowed.^[1]

Free electives (6 EC)
To be chosen from courses offered by Radboud University, but overlap with other courses is not allowed. Should be approved by the Examining Board.

• e.g. NWI-FNWI002 Scientific English

Final thesis (30 EC): MSc-project.
The final thesis is scheduled in the last semester. The MSc project is finished by writing a Master's thesis. Generally speaking, students will do their Master's project under the supervision of a member of staff of their own university. However, students may, after consulting a local supervisor, choose to do a Master's project at another site, or an external project at a company or abroad.

• NWI-IMC029 Master's thesis in Computing Science (30 EC)