Computer Science - Adaptive Cybersecurity

Who is this course for?



This programme is aimed at graduates with a primary qualification and / or extensive industry experience in Computer Science or related subject area. It is not a conversion programme but expects students to already be at a very high standard regarding their Computer Science education.



What will I study?



Students will collect 90 ECTS during 12 months of full-time studies. The programme covers over two semesters many complementary areas of Cybersecurity, Artificial Intelligence, and Data Analytics, including Intrusion Detection and Malware Analysis, Secure DevOps, Ethics & Data Privacy, Deep Learning, Case Studies in Cybersecurity Analytics, Autonomous Agents and Multi-Agent Systems. Further on, students reinforce their newly gained skills in a project that is completed during the summer. 

Year 1 (90 Credits)



Required CT5189: Introduction to Cybersecurity

Required CT5190: Societal impact of AI and Cybersecurity

Required CT5191: Network Security & Cryptography

Required CT5165: Principles of Machine Learning

Required CT5132: Programming and Tools for AI

Required CT5195: Adaptive Cybersecurity Project

Required CT5193: Case Studies in Cybersecurity Analytics

Required CT5100: Data Visualisation

Required CT5133: Deep Learning

Required CT5192: Secure DevOps

Required CT5194: Malware and Intrusion Detection

Optional CT5141: Optimisation

Optional CT5120: Introduction to Natural Language Processing

Optional CT561: Systems Modelling and Simulation

Optional CT5105: Tools and Techniques for Large Scale Data Analytics

Optional CT5134: Agents, Multi-Agent Systems and Reinforcement Learning

Optional CT5121: Advanced Topics in Natural Language Processing

Optional CT5113: Web and Network Science

Optional CT5187: Knowledge Representation

1 year full-time.

Next start date: September 2026

Career Opportunities

The high global demand in cybersecurity experts is being reflected in a range of career options for example as network security architect, cybersecurity operations analyst or information security analyst.



While our graduates can compete for such jobs, the programme, in particular, will cater for the demand stemming from emerging R&D career paths in cybersecurity that have a strong focus on machine learning and data analytics. These include positions such as an AI security controls architect, cybersecurity data analytics engineer, or cyber intelligence analyst.