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MAComputer Science - Digital Factory specialization

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Program description:
The goal of this program is to train Computer Scientist with a professional knowledge based on a solid theoretical background knowledge. 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.

Our programs provide students with a broad education in Computer Science in combination with specialized work in manufacturing and predictive use of data arising from the Industrial Assets, and the Computer Science tools to develop Decision Making and Artificial Intelligence for Industry.

Students learn the theory as well as the methodologies and techniques in the development and implementation of computer systems. The more practical programming courses are aided by several courses in pure and applied mathematics and theoretical computer science courses throughout the curriculum.

This program is recommended to applicants who:

- want to gain expertise in one of the most fascinating and fastest growing areas of manufacturing and computer science. This course is oriented to develop the basic knowledge on technologies like Product Lifecycle Management systems and Manufacturing Execution Systems, in order to produce valid Product and Production Digital Twin viable to improve productivity and efficiency in real applications, Plant Simulation Technologies will support optimization of the assets and also will allow gathering data to produce other advanced uses and applications
- want to take part in innovative and well-grounded education for the next generation of service designers and software architects capable of designing and engineering novel software system.
- want to conduct analyses to detect, discover and better understand the abounding data around us generated by social media, manufacturing systems, medical devices, logistic services, and countless others on a daily basis.
- want to be a responsible cybersecurity specialists with the right knowledge and skills to be able to contribute to make the digital world a safer place.

This program enables students to get up-to-date knowledge in one of the most dominant technological trends by gaining skills in design and implementation of the next generation of software solutions endowed with human-like capabilities.
apply concepts of machine learning, design neural networks in order to solve real world problems with applications of intelligence.
work in teams to guide the software development process (modern and agile software engineering methodologies integrated with design thinking and User Centric/Service Design methods) of complex information systems.
gain 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).
be valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together, through their multidisciplinary attitude.
Strength of program
The ELTE Faculty of Informatics has great competence both in computer science and in mechanical engineering. Courses within the Digital Factory programme will be supported by hands-on experiences with CNC machines, PLC controlled assembly lines, as well as robots. Thanks to our core infrastructure, we are able to teach Industry 4.0 on a project-oriented basis. In particular, we focus on communication channels and data-driven optimization.

The high standard of training is guaranteed by the highly qualified academic staff. Teaching is supported by modern infrastructure and well equipped computer labs. 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. 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.

Entry requirements:
BSc in Computer Science

Entrance exam:

Type of entrance exam:
online complex

Entrance exam location:

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 transcript 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 Szombathely.

Preparatory year available:
Yes – at Budapest – Lágymányosi Campus – after successfully accomplishment students are required to continue their studies at SZOMBATHELY CAMPUS

Specialisation year available:


Dual training system is also available for international students starting from the 2nd semester, selection by a partner company at the end of the first semester.

Minimum number of scholarship holders:

Maximum number of scholarship holders:



Program leader:
Professor Zoltán Horváth

International coordinator:
Ms Anita Tajnai

Programme structure


Career opportunities

Graduated students are welcomed in jobs of different industries (manufacturing, communications, automotive) and in many sectors of informatics, finance, healthcare, transport and logistics, customer service and countless others.

Job examples
Process engineer, automatization engineer, industry 4.0 specialist

Not available for applying at the moment
Not available for applying at the moment