Information Science and Technology (PhD)

CURRICULUM COURSE DESCRIPTIONS CV OF LECTURERS ACADEMIC DOCUMENTS INFORMATION GUIDE

 

FACULTY

Faculty of Mechanical Engineering and Informatics

STUDY PROGRAMME

Hatvany József Doctoral School of Information Science

QUALIFICATION

Information Science and Technology PhD

LEVEL

PhD

DURATION

8 semesters

TEACHING MODE

on-site, / blended

LANGUAGE REQUIREMENTS

English B2 level

ACADEMIC REQUIREMENTS

masters’ degree in Computer Science

ECTS CREDITS TO COLLECT

240

TUITION FEE

3500 EUR/semester

OTHER FEES

150 EUR application fee

LECTURE, SEMINAR - PRACTICE

not applicable

SHORT DESCRIPTION: The doctoral school offers the opportunity to pursue a doctoral degree to those with a master’s degree who are interested in research and development in applied and theoretical computer science. For this purpose, the most relevant master programmes in the faculty are Computer Science Engineering, Electrical Engineering and Logistics Engineering. The doctoral school deals with three main topic areas: applied computer science, information technology for production engineering (including measuring and control engineering information systems), and material flow systems (information technology for logistics). The doctoral programme can be undertaken through a course-based structure or independently.


SPECIALIZATIONS: 

a) Applied Computer Sciences
- Theory and Application of Algorithms
- Data-and Knowledge Systems
- Intelligent Soft Computing
- Computer Graphics and Geometry

b) Computer Supported Production Systems
- Computer Integrated Production Systems
- Automatization and Control Systems

c) Logistic Systems
- Design and Planning of Logistic Systems
- Operation Control of Logistic Systems

 

CAREER PROSPECTS: Since Computer science is at the core of research in major international companies and also many small and medium enterprises that create technologies and applications for the future our PhD graduates can easily find a position in the industry such as research institutes and universities as (full time or part-time) professors to strengthen the link between university and industry research and to bring their industrial experience back into the university education and research.
 

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