Basic subjects
History and philosophy of science. The history of science. Foreign language. Higher school pedagogy.
Specialized subjects
Artificial intelligence and machine learning. Methods of professionally-oriented training. Methods of preparation of scientific publications.
Program Overview
As part of the educational program, graduate students study the development of methods, algorithms, and creation of artificial intelligence and machine learning systems; methods and technologies for searching, acquiring, and using knowledge and patterns in artificial intelligence systems; and the development of specialized mathematical, algorithmic, and software for artificial intelligence and machine learning systems.
Program Benefits
The graduate student works according to an individual plan drawn up jointly with the supervisor. Modern educational models and technologies are used in the learning process. The implementation of the competence approach involves the extensive use of active and interactive forms of classes. Practice locations - Research Institute of the Ministry of Internal Affairs of SFedU
Prospects. Career & Employment
Graduates can work in scientific and teaching positions at research institutes, design bureaus and higher educational institutions.
Why is it important to pursue a higher education?
Graduate students are able to conduct critical analysis and evaluate modern scientific achievements, generate new ideas in solving research and practical problems, conduct comprehensive research, organize the work of a research team, conduct teaching activities in the main educational programs of higher education and research activities in the field of developing methods, algorithms and creating artificial intelligence and machine learning systems.