| Name of Faculty | Faculty of Informatics |
|---|---|
|
Degree |
MSc / Computer Scientist for Autonomous Systems
|
|
University type |
Public
|
|
Established |
2003
|
|
Language of course |
English
|
|
Erasmus |
Yes |
|
Course duration |
4 semesters (2 years)
|
|
Intake |
September, February |
|
Total course fee |
12.800 Euro
|
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.
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.
Tuition Fee: € 6.400 per year + one-time fees: Application fee: €80 one-time
Minimum level of language proficiency (oral) (A1-C2): B2
Minimum level of language proficiency (written) (A1-C2): B2
Further comments: At least Intermediate level English language skills is required. English language exams are preferred (but not required) and any certificate is accepted.
The interview takes about 20 minutes in the previously indicated and scheduled time sent by the student coordinator via e-mail.
As the language of the education of the Computer Science Master course of ELTE Faculty of Informatics is English, applicants are required to possess at least intermediate level English language proficiency in order to take part efficiently of their academic studies. During the interview applicants are required to prove their English language and communicational skills by replying to questions about their previous studies, work experiences connected to Computer Science. Applicants are also required to answer simple questions concerning basic terms in mathematics and programming.
As the prerequisite of applying to Computer Science Master course is a previously obtained Bachelor degree in Computer Science or in a related field, no preparation is needed in advance, applicants are only have to be able to present their previously obtained skills.
After accepting the invitation, previously sent by the programme coordinator, applicants are required to create a Canvas account. After logging in, exam exercises are available in Canvas system. There is no exact exam date, applicants are able to take the exam and submit their solutions whenever they want until the indicated deadline.
The exam consists of 1-3 programming problems. Solutions (program source codes in Java, C# or C/C++) are required to be submitted online.
The ranking is based on a total evaluation of the academic excellence (based on the submitted documents) and the results of the entrance exam.
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