|Study location||Hungary, Budapest|
Information and Communication Technologies (ICTs) (ISCED 061)
|Type||Master, partial/exchange studies|
|Nominal duration||1-2 semesters (60 credits/ 2 semesters) (60 ECTS)|
|Course code||Computer Science and Information Technology|
Bachelor diploma (or higher)
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.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Minimum level of language proficiency (oral) (A1-C2): B2
The goal of this program is to prepare students for the design and development of software for intelligent systems including, e.g. autonomous cars. 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.
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.
CORE SUBJECTS – SOFTWARE TECHNOLOGY
CORE SUBJECTS – SOFTWARE TECHNOLOGY OF REAL TIME SYSTEMS
Embedded and Real Time Systems
CORE SUBJECTS – HUMAN AND LEGAL ASPECTS OF SOFTWARE DEVELOPMENT
Human Factors in Traffic Environment
Legal Framework for Autonomous Driving
CORE SUBJECTS – ARTIFICIAL INTELLIGENCE
Design and Analysis of Algorithms
Artificial Intelligence in Processes and Automation
CORE SUBJECTS – MACHINE LEARNING
Data Mining in Smart Systems
Applied Deep Learning
CORE SUBJECTS – NUMERICAL OPTIMIZATION AND CONTROL THEORY
Numerical Methods for Optimization
Systems and Control Theory
CORE SUBJECTS – IMAGE AND SIGNAL PROCESSING
Image and Signal Processing
Image and Video Processing
CORE SUBJECTS – COMPUTER GRAPHICS AND VISION
3D Computer Vision
CORE SUBJECTS – COMPUTER SENSING
Introduction to Vehicles and Sensors
3D Sensing and Sensor Fusion
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.
Systems designer / engineer
AI / machine learning researcher
AI Software developer.