Requirements for the preparation of specialists with an educational and scientific degree of "Doctor" under the doctoral program "Automation of areas of the intangible sphere" are:
● to have excellent training in the field of systems approach and automation;
● to have in-depth knowledge in the field of linear algebra, mathematical analysis, and statistics;
● to have knowledge in the field of data information extraction, including system identification, machine learning, etc.:
● to have knowledge in the field of optimization and numerical methods, estimation theory, etc.;
● to have training in processing and analysis of experimental data;
● knowledge in the field of information technology contributes to the practical aspects of work. In particular - knowledge focused on parallel processing (technologies such as OCL, CUDA, etc.), platforms for processing large data arrays (so-called Big Data tasks) on the order of gigabytes, terabytes, petabytes, etc.;
● knowledge in economics and econometrics, marketing, finance, planning, risk assessment, industrial management, and other areas of theory covered by the doctoral program contribute to the successful work of the doctoral student;
● in-depth and creative knowledge and use of literature in the specific field in which the dissertation topic is formulated;
● demonstration of creative thinking;
● acquisition of a high level of skills, knowledge, and qualifications for theoretical and/or experimental research work.
