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PhdDoctoral School of Computer Science

More information



Program description:
The aim of the School is to support postgraduate studies at the University of Szeged, leading to the degree of PhD in computer science (informatics). The School operates within the Institute of Informatics. The research work in the school belongs to the following research areas: Theoretical Computer Science, Operations Research and Combinatorial Optimization, Software Engineering, Artificial Intelligence, Image Processing, and Electrical and Computer Engineering.

Entry requirements:
MS degree in related field, transcripts, certificates of language proficiency: at least intermediate level certified by internationally accredited language examination: TELC B2, ECL B2, TOEFL iBT test score of at least 72, or PBT score at least 550, Cambridge First Certificate at least “B”, IELTS score of at least 5.5 Each applicant has to arrange two letters of recommendation

Entrance exam:

Type of entrance exam:
online interview

Entrance exam location:

Entrance exam description:
““Along with the online application form, one has to submit the copies of diplomas (All these will be assessed by the Council of the School. The Council may also require an interview of the applicant in order to obtain further information.”“

Dr. Tamás Vinkó
associate professor

Preparatory year available:

Specialisation year available:

Minimum number of scholarship holders:

Maximum number of scholarship holders:


Programme structure

About the programme

This PhD educational programme requires active and productive research work under the supervision of the thesis adviser, the completion of five courses, and active participation in seminars at the Institute of Informatics. The courses embrace a number of fields in computer science.

Educational programmes of the Doctoral School: Theoretical Computer Science, Operations Research and Combinatorial Optimisation, Software engineering, Artificial intelligence, Image processing, Electrical and computer engineering.

Sample research areas: Theory of automata and formal languages; Theory of economic decisions; Advanced programming paradigms; Machine learning algorithms; Natural language processing; Discrete tomography; Medical image analysis; Noise and fluctuations in various systems; Pneumatic artificial muscles. For more research topics please consult the programme website.

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