Informatics Engineering

The doctoral program in Informatics Engineering is designed according to the planned research topics of doctoral students, as well as qualification training courses in this field of science. The purpose of the doctoral program is to train scientists, who would be capable of independently carrying out research and experimental development and solving scientific problems of Informatics Engineering.

Research topics

Research topics of doctoral students in Informatics Engineering:

  • Computer System Modeling and Optimization
  • Cyber-physical-social Systems Engineering
  • Computer Teaching and Learning Technologies
  • Parallel and Distributed Computing
  • Applications of Numerical Intelligence in Economics, Medicine and other fields
  • Blockchain technologies and Cybersecurity
  • Video, Audio and Streaming Technologies based on Artificial Intelligence
  • Bioinformatics Data Analysis and Algorithms
  • Cognitive Computing Technologies: Artificial Intelligence, Deep Learning, Big Data, Classification, Recognition
  • Machine Learning and Natural Language Processing

The study program consists of two blocks for subjects: compulsory block and elective block. The compulsory block consists of the subject for all the doctoral students and it reflects the main research topics for doctoral students, providing them with access to the general qualifications required for research. An elective block offers the subjects from which the rest of the program may be chosen and it is based on the research topics of Informatics Engineering. With the approval of the PhD Committee, students can choose the subject in other fields of science.

Study plan

Compulsory block

  • Research Methods in Informatics and Informatics Engineering
  • Fundamental Methods of Informatics and Informatics Engineering

Elective block

  • Blockchain Technologies
  • Big Data Analytics
  • Speech Signal Processing
  • Parallel and Distributed Computing
  • Machine Learning
  • Model-based Systems Engineering
  • Natural Language Processing
  • Methods and Tools of Requirements Engineering
  • Systems Analysis Technologies in Informatics Engineering
  • Digital Signal Processing
  • Decision Making Strategies
  • Video Signal Processing
  • Technology-based Learning
  • Knowledge-based Computerized Information Systems Engineering

Do you have more questions? Contact:

  • E-mail:
  • Phone: +370 5 210 9300
  • Address: Akademijos str. 4, room 208, Vilnius, Lithuania.