System Analytics of Big Data (Applied Mathematics and Informatics)

Traditional approaches to the processing and analysis of ever-increasing data sets in enterprise information systems and the Internet are losing their effectiveness. To process large volumes of data (Big Data), new storage and processing technologies are developed that rely on in-depth knowledge of applied mathematics and computer science. Large players and developing companies declare an increase in demand for specialists in the analysis of big data and designing modern and adequate tools based on them. As part of the master's program, students study methods and products for statistical analysis, machine learning, knowledge extraction, and apply them to solve a wide range of problems.

The master's program supports the achievement of goals and solving the tasks of the national project "Digital Economy" (2019-2024).


Education at Moscow Poly

The master's program with full-time education involves an evening class schedule, the beginning of classes is 18:30 on weekdays and Saturdays, which allows master students to continue their studies without interruption from professional activities in their field.