1.2.1 Artificial intelligence and machine learning'|Mathematical and natural science foundations of artificial intelligence

1107

Location: Rostov-on-Don

SFedU Institute: International Research Institute of Intelligent Materials

Tuition fee - based: 1

Tuition fee per year (in rubles): 220 000

Duration of full-time mode: 3 years

Уровень образования образовательной прог: Doctoral degree (PhD)

Код программы: 1.2.1 Artificial intelligence and machine learning

Направление подготовки: Mathematical and natural science foundations of artificial intelligence

Basic subjects
Specialized subjects
Program Overview
Program Benefits
Prospects. Career & Employment
Why is it important to pursue a higher education?

Basic subjects

History and philosophy of science, History of science, Foreign language, Higher education pedagogy, Methods of professionally oriented education

Specialized subjects

The scientific component of the program includes: 1. Scientific research activities 2. Preparation of scientific publications

Program Overview

The formation of highly qualified scientific and scientific-pedagogical personnel that meet the needs of the socio-economic development of the country, capable of positively influencing domestic and global processes in the field of artificial intelligence and machine learning. The focus of the program: Mathematical and natural science foundations of artificial intelligence.

Program Benefits

The concept of the postgraduate program in the field of training 1.2.1 "Artificial intelligence and machine learning" of the focus "Mathematical and natural science foundations of artificial intelligence" is: -training of specialists who possess fundamental knowledge in the field of artificial intelligence, possess universal, general professional and professional competencies of a researcher and teacher and are prepared to defend a scientific qualification work (dissertation) for the degree of candidate of sciences in the scientific specialty 1.2.1 Artificial intelligence and machine learning; -formation of graduates' skills in practical implementation and implementation of innovative solutions and projects in the field of intelligent systems, tasks of planning and organizing work, analyzing the market efficiency of created systems, author's support of proposed solutions, preparation of scientific and technical reports, publications and scientific reports based on the results of completed research, as well as the development of educational and methodological materials for students in the disciplines of the subject area of this direction.

Prospects. Career & Employment

Why is it important to pursue a higher education?