Infopaket

Artificial Intelligence Technologies

21443

Master Computer Science

2 years

120

7

Second (Master)

Information technologies

KnowledgeField EN

Having a bachelor's degree

Admission was based on the results of the foreign language common entrance examination and a professional examination

Attestation of graduates of the educational program "Technology of artificial intelligence" specialty 122 "Computer science" is carried out in the form of the defense of the qualification work and ends with the issuance of a document of the established model awarding the holder of a master's degree with the qualification "master of computer science".

PRN1. Have specialized conceptual knowledge that include modern scientific achievements in the field of computer science and is the basis for the original thinking and conducting research, critical understanding of problems in the field of computer science and so on boundaries of fields of knowledge. PRN2. Have specialized problem-solving skills/skills problems of computer science, necessary for conducting research and/or implementation of innovation activities aimed at developing new knowledge and procedures. PRN3. It is clear and unambiguous to convey your own knowledge, conclusions and reasoning in the field computer science for specialists and non-specialists, in particular to persons who are studying. PRN4. Manage work processes in the field information technologies, which are complex, unpredictable and need new strategic ones approaches PRN5. To evaluate the performance of teams and collectives in the field of information technologies, ensure the effectiveness of their activities. PRN6. Develop a conceptual model information or computer system. PRN7. Develop and apply mathematical methods for analyzing information models. PRN8. Develop mathematical models and methods data analysis (including big data). PRN9. Develop algorithmic and software provision for data analysis (including large). PRN10. Design architectural solutions various information and computer systems appointment.

Full-time form

The final evaluation of learning outcomes at the University is carried out on a single 100-point scale. The assessment of the applicant corresponds to the ratio established of the level of professional and general competencies to the planned learning outcomes (as a percentage). The minimum positive level of assessment is 60 points. According to the results of exams, according to the results of course and diploma works (projects); based on the results of work in practice, the student is also graded on a 4-point scale: “Excellent”, “Good”, “Satisfactory”, “Unsatisfactory”. If the final exam is not conducted in the disciplines, the results of the applicant’s work are evaluated on a 2-point scale: “Passed” or “Fail”.

Research practice

Graduates can work in state bodies management, banking institutions, organizations and enterprises of all forms of ownership of various industries economy in development and support units intelligent technologies; in international, state and non-state scientific institutions, on enterprises, firms, organizations of the IT sector economics; in international, state and non-governmental organizations and institutions for providing informational, analytical and consulting services Graduates can carry out professional activities as development professionals mathematical, information and software provision of computer systems in the field information technologies.

Obtaining an education according to the educational program of the third (educational and scientific) level of higher education and attainment additional qualifications in the adult education system