Data Science
| Study location | Hungary, Budapest |
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| Academic field | Information and Communication Technologies (ICTs) (ISCED 06) |
| Type | Master, full degree studies |
| Nominal duration | 4 semesters |
| Study language | English |
| Course code | Computer Science and Information Technology |
| Entry qualification | Bachelor diploma (or higher) Holding a BSc degree in Computer Science or obtaining altogether at least 60 ECTS credits in informatics and mathematical subjects related to computer science during a completed Bachelor’s program. The entry qualification documents are accepted in the following languages: English. - You must take the original entry qualification documents along with you when you finally go to the university. Take copies along as well. |
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| Territory requirements | Applicants are accepted from the following territories (based on their citizenship): |
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| Language requirements | English Minimum level of language proficiency (oral) (A1-C2): B2 |
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| More information |
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Overview
Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.
The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.
Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).
This program is recommended to applicants who already have a BSc degree in Computer Science, Electrical Engineering or Mathematics and would like to expand their opportunities in the field of the above mentioned areas.
The goal of this program is to train Computer Scientist in the field of Data Science with a professional knowledge based on a solid theoretical background knowledge. They have the skills to take part in program development, in developing information systems and system management in various areas. The Computer Scientist often acts as a mediator between the customers of information systems and the producers. In this way, the job of a Computer Scientist synthesizes the constructive activity of engineers with the general problem-solving attitude of mathematicians while participating in teams of large-scale projects.
Entry requirements:
BSc in Computer Science
Entrance exam:
Yes
Type of entrance exam:
online complex
Entrance exam location:
Electronic
Entrance exam description:
Decision regarding admission is based on the result of the entrance exam and the academic excellence of previous studies. The latter can be evaluated if the applicant submits his/her Bachelor degree and the trascript of records. The submitted documents shall be examined and evaluated by the Computer Science MSc Admissions Committee. The Commitee needs to be satisfied about the extant knowledge of the applicants, concerning on Informatics and Mathematics. At the same time the applicants have to fulfill an online entry test, solving a programming task and uploading the source code.. Applicants are officially notified by the course coordinator. Admitted students are entitled to start their studies in the subsequent academic semester at Budapest, Hungary.
Contact:
programme leader:
Professor Tamás Horváth
associate professor
international coordinator:
Ms. Katalin Schneider
SH Faculty Coordinator
studentcoordinator@inf.elte.hu
Preparatory year available:
Yes – at Budapest – Lágymányosi Campus
Specialisation year available:
Data Science
Minimum number of scholarship holders:
1
Maximum number of scholarship holders:
200
Programme structure
Strength of program
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-yearstudents 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. The Faculty has concluded bilateral agreements with numerous universities in the world, which allows students to study one or two semesters or participate in research projects at a partner institution.
Extracurricular undergraduate research activities of the students are supported and supervised by leading scientists of the Faculty. These students present their findings at a conference organised by the Faculty every year. Workshops are also organised with international partners.
Career opportunities
Data science is a highly innovative area. The profession was described as “Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!
Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations.
Data Science consultant
Data Analyst
Data Science Specialist