About this program
PhD in Informatics and Computational Science
The doctoral program aims to train highly qualified experts capable of further developing their field by finding new original solutions, methods, and procedures and applying the most demanding known techniques. Students can profile themselves in many different areas, such as computer science, computer vision, machine learning, artificial intelligence, HPC computing, computational chemistry, nanorobotics, and many more. Graduates can quickly get a job in the research and development of high-tech companies or start an academic career in high schools at home or abroad.
- Bachelor degree (at least)
- English-language ability – students, who are not native speakers may be asked to demonstrate their ability to study in English, e.g. by presenting the results of any language tests they have taken. English language ability document - minimum requirements: IELTS score 5,0; TOEFL internet-based score 62 (possibly other certificates at the same level).
- Entrance examination (according to the Faculty Admission Procedure Rules and Conditions for Admission)
Does this course require proof of English proficiency?
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- Advanced Signal Processing Methods
- Applets of Integral and Discrete Transforms
- Applied Functional Analysis
- Applied Linear Algebra
- Basic Methods of Statistical Data Analysis in Practice
- Bio-Inspired Computing
- Classical and Quantum Methods of Molecular Simulations
- Code Analysis and Optimization
- Computational Electrical Engineering
- Computer Security
- Data Analysis
- Data Compression
- Digital Image Processing
- Discrete Mathematics
- Graph Theory I
- HPC libraries and tools
- Image Analysis
- Information Retrieval Systems
- Introduction to Quantum Chemistry with Applications
- Machine Learning
- Mathematical Methods and Tools for Reliability and Risk Analysis
- Mathematical Modelling and FEM
- Methods of Optimization
- Modeling and Simulation of Complex Systems
- Modelling in Electrical Power Engineering
- Modelling of Mass and Heat Transfer
- Numerical Methods
- Parallel Algorithms
- Parallel Architectures
- Petri Nets
- Physical Implementation of Database Systems
- Query Processing in Database Systems
- Reliability of Electronic Devices
- Selected Problems of Fluid Mechanics
- Social Networking
- Software Defined Radio
- Theory of Computation
- Theory of Formal Systems
- Transparent Intensional Logic
- Variational Methods for Engineers
- English Language Dr.
- French Language Dr.
- German Language Dr.
- Spanish Language Dr.
Scholarships & funding
Several scholarship options are available. Please check the VSB-Technical University of Ostrava for more information.
Tuition fee: 500 CZK per semester, approx. 20 EUR per academic year
The graduate can design new, effective and well theoretically justified solutions based on original ideas that are accepted by the international scientific and professional community in the field. He/she can implement, evaluate and compare even very complicated existing procedures. Can solve interdisciplinary problems, requiring knowledge not only from computer science and mathematics, but also from a collaborating discipline (e.g. biology and medicine, engineering, economics, etc.). Can anticipate directions of development in his/her field. He can also implement very large and complex works, usually as the leader of a research team. He or she can choose the appropriate solutions procedures and appropriate technologies, based on the use of the latest knowledge. He can independently develop extensive technical texts in a foreign language, especially English, presenting even very complicated and abstract ideas. He/she can defend the proposed solutions in a professional discussion at international level.
The graduate has a professional overview across the entire field of Computer Science and other involved areas, in the breadth and depth beyond the level of a graduate student. Theoretical knowledge of the core disciplines (e.g. mathematics, discrete mathematics, theoretical computer science) are deepened in ways that are directly applicable to applied and basic research in the chosen subfield. The graduate has a deep theoretical and practical knowledge of especially in the specific chosen subfield according to the focus of their research work. Understands scientific methods used in the field of his/her specialization and can apply them himself/herself. Typically, the knowledge of graduates covers computer science and mathematics, as well as one or more application areas such as industrial digitisation, supercomputing, but also chemistry or biology.
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About this institute
VSB - Technical University of Ostrava
VSB-TUO’s study programs are built on a 170-year tradition. Currently, there are almost eleven thousand undergraduates and graduates studying for degrees at Bachelor’s, Master’s and PhD levels in engineering, IT, technology, economics and business administration. Courses are provided by seven...
Why study at VSB - Technical University of Ostrava
Study at VSB-TUO places an emphasis on practical training, whilst investigating real problems from today’s state-of-the-art industries, using the latest software and instruments. In many subjects 50% of the coursework is practically oriented, perfectly complimenting the advanced theoretical instruction, and ensuring that graduates have gained the education and experience sought by employers the world over. VSB-TUO has strong links to industry and thrives on applied research, in cooperation with companies and institutions worldwide, in finding innovative solutions to modern day issues.
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