The Computer Science for Autonomous Systems programme of Eötvös Loránd University 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.
This program is recommended to applicants who are interested in a career related to self-driving cars, robotics or artificial intelligence.
This program enables students to gain new skills in design, implementation, operation and maintenance of software for self-driving vehicles. Students get thorough and up-to-date knowledge in the fields of artificial intelligence and machine learning. Our courses cover a wide spectrum of topics related specifically to current challenges of autonomous vehicles, and they prepare students for a variety of career options in software development in autonomous systems.
Autonomous software systems are becoming widespread in application areas, such as media, finance, customer service, and healthcare. ELTE offers students the opportunity to explore and develop their careers through professional practice at partner companies. We combine the training of students with the research activities at the university, and we invite our best students into R&D&I work of research labs. These long-running, innovative software-engineering projects are carried out in cooperation with industrial partners like Ericsson and Bosch and work together in international teams on real problems of autonomous systems.
ELTE endeavours to provide a supportive and enjoyable atmosphere for learning - we provide helpdesk and extensive assistance during studies.
Strength of program
Computer Science for Autonomous Systems program was developed in accordance with Autonomous Systems technical major of EIT Digital Master School. 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.
Computer Scientists for Autonomous Systems are welcome in jobs of development of autonomous, intelligent software systems in many sectors of informatics, digitized production and manufacturing, finance, healthcare, transportation, etc. These software systems perform specific tasks according to the profile of the company, including e.g. medical diagnosis, electronic trading, robot control, remote sensing, autonomous driving, computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics. Jobs are offered to graduates of Computer Science for Autonomous Systems MSc by large manufacturing companies, software development companies, research institutes and universities.
- Software designer/architect
- Systems designer / engineer
- AI / machine learning researcher
- AI Software developer.
- Software Technology
- Project Management
- Human Factors in Traffic Environment
- Legal Framework for Autonomous Driving
- Design and Analysis of Algorithms
- Artificial Intelligence in Processes and Automation
- 24 months
Start dates & application deadlines
- Apply before
- Apply before
DisciplinesComputer Sciences Bioinformatics Machine Learning View 4 other Masters in Bioinformatics in Hungary
We are not aware of any academic requirements for this programme.
- Holding a BSc degree in Computer Science or holding another BSc degree and obtaining altogether at least 80 ECTS credits in informatics, computer science and mathematics.
- For admission to the masters program the student must have at least 40 credits on the basis of undergraduate studies in the areas listed. In the Master's program, missing credits must be obtained.
- Minimum level of language proficiency (oral) (A1-C2): B2
- Minimum level of language proficiency (written) (A1-C2): B2
- Online Application form
- Secondary school certificate
- Bachelor-level degree
- Transcript of records
- Motivation letter
- Copy of the main pages of the passport (needs to be valid)
- Passport photo
- Medical certificate
- Language certificate
International6000 EUR/yearTuition FeeBased on the tuition of 3000 EUR per semester during 24 months.
EU/EEA6000 EUR/yearTuition FeeBased on the tuition of 3000 EUR per semester during 24 months.
Living costs for Budapest
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.