Computer Science

About this programme

Please note : free access, subject to verification of admission requirements and personal academic background . Depending on their course of study, graduates may go on to become senior data scientists, business intelligence analysts, AI engineers, cybersecurity managers, technical leaders or project managers in industry or research centres, or they may continue their studies towards a PhD. The Master’s programme in Computer Science and its associated teaching activities promote the following goals of the 2030 Agenda for Sustainable Development from distributed algorithms and protocols to multi-agent systems, networks and blockchains the data lifecycle, from acquisition to the Internet of Things, through to data management and protection dedicated to the use of AI and LLMs to support software development, testing, analysis and maintenance Key: AIDA refers to the Artificial Intelligence and Data Analytics programme, RESSY to the Reliable and Secure Software Systems programme. The know-how and skills required to manage and analyse data effectively are essential for developing technologies capable of supporting decision-making and improving quality of life by creating smarter systems or providing better services. Digital technologies underpin every aspect of our lives: from the ubiquitous apps that we all use several times a day, to the less obvious software embedded in household appliances, vehicles and critical systems. Insecure, underperforming and poorly designed software has become a threat to the management, safety and security of our society. High-quality softwar