Software, data, artificial intelligence, cybersecurity and information systems.
7 programs found
Delft, Netherlands
A two-year regular master in which students choose two themes of three courses each, such as algorithmics, cyber security, machine learning, software engineering or quantum computer science. It stresses technical depth, research skills and a critical, ethical view of technology.
Eindhoven, Netherlands
A two-year English-taught master that builds both scientific depth and engineering skill for designing and analysing complex software systems. There is no fixed track: students start broad and then choose a specialization such as Algorithms, Data Engineering, Formal Methods or Software Engineering.
Maastricht, Netherlands
A two-year full-time master covering machine learning, data mining and quantum computing, where students tailor their courses and work on real-world AI problems. It can be started in February or September.
Heerlen, Netherlands
A part-time master focused on algorithmic AI, with machine learning, deep learning and Bayesian methods, together with the ethical and societal side of AI. The page states it is the only academic AI master in the Netherlands that can be completed in two years part-time. The page is in Dutch.
Heerlen, Netherlands
A master that starts with a broad base in artificial intelligence, software engineering and business informatics and then lets students specialise, with options in Artificial Intelligence, Software Engineering, Security or Information Science. Many students study part-time alongside an IT job. The page is in Dutch.
Nijmegen, Netherlands
A master covering software design and analysis, machine learning and big data, cyber security and the mathematical logic behind computation. Students pick one of seven specialisations, for example Cyber Security, Data Science and AI, or Software Science.
Amsterdam, Netherlands
A two-year full-time master based at Science Park, with a technical and scientific approach to AI research. The page mentions machine learning, deep learning and foundation models among the topics covered.
