About

Students will get up-to-date knowledge in one of the fastest growing and dominant technological trends of the future. The training offers students the opportunity to acquire valuable knowledge and competences in software technology, real-time systems, artificial intelligence, robotics and deep learning, data mining, computer image and signal processing, process control, computer graphics and vision. Electives include GIS systems, autonomous systems security issues and industrial mathematics. Students will be involved in the work of the research labs and can work on real industrial research together with professionals of leading companies interested in autonomous systems and autonomous driving.Strength of programComputer Science for Autonomous Systems program was developed in accordance with Autonomous Systems technical major of EIT Digital Master School, (a joint initiative by the leading technical universities and business schools in Europe with excellent European research organisations and business partners). Hungary, as full node of EIT Digital through ELTE can provide therefore a top European double degree program shared with the leading European universities. There are two ways of studies of CS for Autonomous Systems. Applicants can choose ELTE for their two-year long full master program in CS for Autonomous Systems. Or, they can apply to EIT Digital Master School, and choose for their Exit year studies ELTE EIT specialization Computer Science for Autonomous Driving.The high standard of training is guaranteed by the highly qualified academic staff. Teaching is supported by modern infrastructure and well equipped computer labs (artificial intelligence, databases, and robotics). The library of the Faculty contains several thousand volumes. Upper-year students and PhD students help the first-year students in a mentor system to overcome their first challenges at the university.In addition to the high level of theoretical training, the Faculty's relationship with the business community, the joint research and development projects offer up-to-date practical knowledge and experience to the students. Extracurricular research activities of the students are supported and supervised by leading scientists of the Faculty and professionals of partner companies.