01.04.04 Applied mathematics

The program provides in-depth training of professionals in information technology and mathematical data analysis methods. Emphasis is placed on computer model implementation techniques, the use of specialized software tools and methods for extracting knowledge from experimental data.

Level of education:

Master’s degree

Form of training:

Full-time (daytime)

Venue of training:

Moscow

Entrance exams:

— Higher mathematics

Programs, specializations:

Data mining

Alumni can professionally engage in software application, development and research, along with the use of mathematical techniques and models designed to analyze, develop and prepare decisions in all spheres of activity and subject areas. They study in depth classical mathematical disciplines, modern concepts and methods of applied and computational mathematics, mathematical modeling and data analysis techniques in various fields: economics, physics, engineering, natural science, etc.
Students pursuing the program have access to modern training laboratories, specialized foreign and domestic software, large amounts of experimental data in economics, physics, technology, engineering, etc.

Alumni can be employed as

big data analyst
data analyst
data mining specialist
data scientist

Program subjects

Data analysis methods
Making and using neural networks and genetic algorithms
Data mining
Prediction and analysis systems
Mathematical simulation of applied tasks
Information support for data analysis systems
Applied tasks of non-linear dynamics
Parallel computing software

Graduating department:
Applied Mathematics Department