The admissions to the two-year master’s programmes at Aalto University are organised once a year. The application period for studies beginning in the autumn of 2025 runs from 28 November to 27 December 2024. Read more: https://www.aalto.fi/en/study-at-aalto/applying-to-masters-programmes.
If you are interested in security related topics, apply to Computer Science major: https://www.aalto.fi/en/study-options/computer-science-computer-communication-and-information-sciences-master-of-science-technology
The Secure Systems study track within the major combines foundational knowledge in information security and cryptography with hands-on engineering skills. Students learn to understand how the adversary thinks, to analyse cyber threats, and to design secure computing and communication systems. Topics include network and protocol security, cloud and operating system security, mathematical cryptography, andmodern software technologies.
SECCLO will not open admission for autumn 2025 student intake. The last application round funded with Erasmus Mundus scholarships by the European Commission was autumn 2024 student intake and the consortium is focusing on further development of the programme during 2024-2025 so there is no intake for 2025.
International Master’s Programmes only have one intake per academic year. The next application period is from 2-16 January 2025 (for studies starting in autumn 2025). You can study security in the following programmes:
In the Master’s Programme in Computer Science, you get the skills that can lead you to creating new network solutions, buildng the future digital society, developing secure digital services, or being involved in a ground-breaking software project. The master’s programme has three study tracks: algorithms, networks and software. Read more: https://www.helsinki.fi/en/admissions/degree-programmes/computer-science-masters-programme
In the interdisciplinary Master’s Programme in Data Science, you are trained to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems. You can specialise either in the core areas of data science — machine learning and algorithms, infrastructure and statistics — or in its applications. Read more: https://www.helsinki.fi/en/admissions/degree-programmes/data-science-masters-programme