PhD in Information Science and Technology
Veszprém, Hungary
PhD
DURATION
8 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 Oct 2026*
EARLIEST START DATE
Feb 2027
TUITION FEES
EUR 5,500 / per year **
STUDY FORMAT
On-Campus
* ADMISSION - Spring 2027
** for non-EU students
Key Summary
About: The PhD in Information Science and Technology at The University of Pannonia trains you for advanced research in IT. You’ll conduct supervised research, join projects and present at conferences. You must publish at least two articles in refereed international journals. Research areas include AI, optimization, signal and image processing, and medical and health informatics.
Career Outcomes: Graduates move into academic and industry leadership. Typical roles include university lecturer, R&D specialist, data scientist, and AI engineer. You’ll gain computing, algorithm and systems design, signal analysis and health informatics skills, preparing you for roles in higher education, industry R&D and healthcare.
PhD in Information Science and Technology
The PhD programme in Information Science and Technology at the University of Pannonia prepares students for advanced research in a wide range of theoretical and applied IT fields. PhD candidates conduct independent research under the guidance of internationally recognized professors, participate in project work, and present their findings at national and international conferences. To obtain a PhD degree, students must publish at least two articles in refereed international journals.
The programme is designed to be flexible, accommodating the rapidly evolving demands of information science and its applications. Research in the school’s scientific workshops is of international standard and spans several core areas:
- Artificial Intelligence – supervised by Prof. Katalin Hangos (DSc) and coordinated by Ágnes Vathy-Fogarassy. Research focuses on the development of novel algorithms and methodologies in machine learning (reinforcement, supervised, unsupervised learning), theoretical studies on neural networks, natural language processing methods, and the application of AI methods to practical domains including healthcare, energy, vehicle dynamics, and Industry 4.0.
- Digital Reality – led by Prof. Péter Baranyi (DSc) and Prof. Cecília Sik-Lanyi (DSc). Research includes exploring human- and AI-enhanced cognitive capabilities in virtual environments, optimizing visual information representation for physiological and visuo-psychological comfort, developing navigation methods in virtual spaces, studying cognitive effects, and ensuring accessibility for users with special needs.
- Discrete Mathematics and Optimization – supervised by Prof. György Dósa (DSc) and Prof. Zsolt Tuza (DSc). Focus areas include structural and extremal studies of discrete mathematical models such as graphs and hypergraphs, algorithmic complexity of combinatorial problems, approximability of discrete optimization, and competitive ratio analysis in online scheduling.
- Dynamic Systems and Control – led by Prof. Katalin Hangos (DSc), Prof. Ferenc Hartung (DSc), Prof. Attila Magyar (DSc), and Prof. Mihály Pituk (DSc). Research includes intelligent diagnosis of complex systems, state and parameter estimation of nonlinear stochastic systems, optimal integration of renewable energy into power grids, and development of theoretical and numerical methods inspired by biological and neural network models with practical applications.
- Image and Signal Processing – supervised by Prof. Cecília Sik-Lanyi (DSc), Prof. Zoltán Kató (DSc), and Prof. Gyula Simon (DSc), coordinated by László Czúni. Research focuses on efficient methods for image retrieval, object recognition, and video analysis.
- Medical and Health Informatics – led by Prof. Ferenc Bari (DSc) and coordinated by Zoltán Juhász (PhD) and István Vassányi (PhD). Studies include brain and cardiovascular diagnostics and modeling, analysis of food input for multiple components, and development of intelligent informatics systems integrating remote diagnostics and therapeutic units.
Through this program, PhD students acquire not only deep theoretical knowledge but also extensive practical research experience, preparing them for leadership roles in academia, industry, and interdisciplinary research projects at an international level.
- Discrete structures and algorithms
- Dynamic system
- Image and signal processing
- Medical and health informatics
- Optimization of large-scale system and processes
Rankings and Recognition
Recognised Worldwide for Academic Excellence
Our university is proudly ranked among the top 5% of higher education institutions worldwide, placing it within a global community of leading universities known for academic quality, impactful research, and international engagement.
These rankings reflect our commitment to innovation, high-quality education, and strong collaboration with industry and research partners across the world.
International Rankings
Times Higher Education (THE) World University Rankings
- Ranked among the top 1500+ universities globally
- Engineering and Technology: 1001–1500
- Impact Rankings: 1001–1500
- Interdisciplinary Science: 501–600
QS World University Rankings
- Global Ranking: 1200–1400
- Europe: Top 500 (498)
- Eastern Europe: Top 70
Round University Rankings (RUR)
- Overall Global Ranking: 680
- Social Sciences: 599
- Technical Sciences: 609
U.S. News – Best Global Universities
- Global Universities: 2128
- Chemistry: 1357
- Europe: 637
A Globally Connected Learning Environment
These international recognitions highlight the university’s growing global reputation, strong academic foundations, and dedication to preparing graduates for successful international careers.
Programme Outcomes
Upon completing the PhD in Information Science and Technology, graduates develop advanced expertise in core areas of computer science and its applications, including artificial intelligence, digital reality, discrete mathematics and optimisation, dynamic systems and control, image and signal processing, and medical and health informatics.
Graduates are able to:
- Conduct independent, high-level research and contribute original scientific knowledge in their chosen field
- Develop and implement innovative algorithms, methods, and technological solutions across diverse domains, from healthcare to Industry 4.0
- Apply advanced analytical, computational, and experimental skills to solve complex scientific and technical problems
- Present research findings at national and international conferences and publish in refereed journals
- Collaborate in interdisciplinary and international research projects, integrating theory and practical applications
- Prepare for careers in academia, advanced R&D, or leadership roles in technology-driven organisations
The programme equips graduates with the knowledge, skills, and experience required to become leaders in scientific research, technology development, and innovation at the highest international level.
INVEST IN YOUR FUTURE.
At the University of Pannonia, we are committed to making high-quality education accessible to talented students from around the world. We offer a variety of scholarship and funding options to support you in achieving your academic and career goals. Explore your funding options and take the first step towards an unforgettable educational experience in Hungary.
Please check our Scholarship and Funding page on our official admissions website.
Career Opportunities
Graduates of the PhD in Information Science and Technology are prepared for high-level research, academic, and technology-driven careers. They acquire the skills to lead innovative projects, develop cutting-edge algorithms and systems, and contribute to scientific advancement in both industry and academia.
Typical career paths include:
- University lecturer or researcher in computer science and related disciplines
- Research and development specialist in industry or government laboratories
- Data scientist, AI engineer, or software architect in high-tech companies
- Consultant or expert in digital systems, control, or optimisation projects
- Project leader in interdisciplinary and international research initiatives
Graduates are equipped to pursue roles that require advanced expertise in computing, artificial intelligence, digital systems, and applied technology, both in Hungary and internationally, as well as to continue with postdoctoral research or leadership positions in academia and R&D organisations.
Ideal Students
The PhD in Information Science and Technology is designed for highly motivated graduates who are passionate about advanced research in computer science and emerging digital technologies. The programme is ideal for applicants who wish to contribute to scientific innovation and develop new methods, algorithms, and technological solutions in rapidly evolving fields of information technology.
Ideal candidates typically:
- Hold an MSc degree in computer science, information technology, engineering, mathematics, or a closely related field
- Demonstrate strong interest in research and innovation, particularly in areas such as artificial intelligence, digital reality, optimisation, or data-driven systems
- Possess solid analytical, programming, and problem-solving skills
- Are motivated to conduct independent research and publish scientific results internationally
- Enjoy working in interdisciplinary and international research environments
- Aim to pursue careers in academic research, advanced R&D, or high-level technological development
The programme particularly suits students who are curious, persistent, and eager to push the boundaries of knowledge while working closely with internationally recognised researchers on real scientific and industrial challenges.
WHAT MAKES UP AN IDEAL STUDY DESTINATION?
Situated in picturesque towns within the former Roman province of Pannonia, the University of Pannonia is headquartered in Veszprém, the capital of the Bakony Hills. Renowned for its outstanding academic achievements and commitment to delivering high-caliber, marketable knowledge. With a student-friendly atmosphere and a human-scale approach to education, our five faculties offer top-tier programs backed by cutting-edge institutional research. This research portfolio is carefully designed to meet labor market demands, fostering strong collaborations with regional industries and municipalities.
We are committed to future-oriented education that blends innovation with practical application. Our programs emphasize real-world skills and adaptability, ensuring that students graduate well-equipped for professional success. Set against the backdrop of one of Europe’s most beautiful regions, Pannonia offers a unique academic experience where students study under leading experts, engage in impactful research, and earn globally recognized qualifications.
Beyond academics, the University of Pannonia promotes a well-rounded student life with diverse sports activities, fostering a balanced university experience that nurtures both mind and body.
Programme Delivery
Language of instruction: English
Study mode: Full-time, on campus