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 (TRU/e Security Master's): With our society's reliance on IT, cyber security and privacy are growing concerns. This specialisation will teach you how to assess the security of IT solutions and how to develop more secure solutions for the future.
- 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: Explore the connections between computing science and mathematics. Both from the perspective of mathematics and logic as the foundation of computing science, and in the use of computers as aid in doing mathematics.
- Software Science: IT gets its power and flexibility from software, but the complexity of modern software poses huge challenges. Learn how to design, generate, and analyse software to control this complexity and improve its safety and correctness.
- Science in Society: Science and technology have a profound influence on society, but the reverse is also true: society significantly shapes the ways in which science and technology evolve. This specialisation equips you with the tools to become a professional intermediary between science and society.
- Science, Management and Innovation: All organisations struggle with challenges such as sustainability, health, energy, and IT security. Solutions require scientists with an analytical as well as a societal understanding of these issues.
