01.03.04 Applied mathematics

This area of studies in focused on modern concepts and methods of big data analysis to identify patterns and dependencies, to predict parameter trends and values, to compile analytical reviews and reference materials, to prepare management decisions and to provide business intelligence. Special attention is given to programming and efficient use of application software for computing and research, including prognostic and analytical platforms by domestic and foreign developers, and to the study of data repository architecture, construction and operation principles. 

Level of education:

Bachelor's degree

Form of training:

Full-time (daytime)

Venue of training:

Moscow

Entrance exams:

— Mathematics (major)
— Russian language
— Information science and ICT

Programs, specializations:

Data analysis

Students receive theoretical instruction and practical training in the field of data processing, storage, search and analysis in various applied areas. Their training includes acquisition of skills in using specialized software and mathematical techniques to identify patterns and dependencies, to predict parameter trends and values, to make analytical reviews and reference materials, to prepare management decisions and to provide business intelligence. Students pursuing the program have access to modern training laboratories, foreign and domestic specialized software, and large volumes of experimental data in economics, physics, engineering, natural processes, etc.

Alumni can be employed as

data engineer
data scientist
big data analyst
mathematical engineer

Program subjects

Group theory and number theory
Theory of algorithms and recursive functions
Additional chapters of computational mathematics
Programming languages for statistical data processing
Applied problems of mathematical statistics
Machine learning techniques and tools
Data analysis methods
Data management systems
Optimal control theory models and methods
Prediction and analysis systems
Simulation software
Models and methods of predictive analytics
Statistical data organization, processing and storage technology
Simulation of dynamic systems
Non-linear dynamics application tasks

Graduating department:
Applied Mathematics Department