The enormous power of IT is the main driving force shaping modern society, going beyond the technical and economic aspects. 

In this Master’s programme in Computing Science, you can study the design and analysis of software, machine learning and big data, cyber security, or the logic and mathematics behind computation, but also the interplay between these areas. In the Computing Science Master's programme, you can opt for six specialisations.

Something for you?

• Be taught by many of the best cyber security experts in the world.
• Our curriculum is unique its broad scope, ranging from hardware security to security of AI.
• Internationally, we’re leading the cryptographic algorithm design, with our designs being selected as NIST standards or competing as finalists in ongoing NIST competitions.
• Education is closely connected to research at the Privacy & Identity Lab, where privacy and identity are researched from legal, technical, and social perspectives.

After your studies:

After completing the Master’s, you will have an in-depth knowledge of cyber security and be familiar with its theoretical, technical, managerial, legal and ethical aspects. Cyber security experts are in high demand, so you should have no problems finding a job as consultant, manager or researcher after graduating. 

Possible occupations:

• Security consultant
• Research & Development scientist in companies
• Scientist or academic researcher

Possible specialisations:

• Cyber Security: As our society's reliance on IT increases, cyber security grows in importance. In this specialisation, you learn how to assess the security of existing ICT systems, and how to develop more secure future solutions.
• Cyber Security and AI: The interplay between AI and Cyber Security provides solutions to many real-world problems, but also brings new challenges. In this unique specialisation, you will learn to understand the latest approaches of the interaction between both domains.
• Data Science and AI: Data plays a role in almost every scientific discipline, the corporate sector and social organisations. This specialisation will teach you how to transform data into knowledge and solutions using modern machine learning and AI techniques. 
• Mathematical Foundations of Computer Science: The Master's specialisation of Mathematical Foundations of Computer Science (MFoCS) is all about understanding the fundamental mathematical concepts of computation and information, to explore the potentials of computer science. 
• Software Science: Software plays a role in almost every aspect of our daily lives and in every organisation across the globe. This specialisation focuses on analysing and testing of code in order to both improve and simplify it.
• Science, Management and Innovation: In Science, Management and Innovation (SMI) you will gain expertise addressing societal challenges, work towards the Sustainable Development Goals (SDGs) and learn to speak in the languages of policy and business.
• Science in Society: How can we improve the interaction between science and society? What societal and ethical responsibilities do scientific experts have? What does it take for scientific knowledge to make an impact outside of the laboratory? If you are interested in question like these, enrol in this Master’s specialisation to learn how science and society shape each other and how to make science better—for us.