Faculty

of economics and management

Specialty

7-06-0533-05 Applied Mathematics and Computer Science

Academic degree

Master

Profilization

Computer Data Analysis

Duration of study

 Full-time – 2 years

Language of study

Russian/English

Main subjects studied

Mathematical modeling and optimization of complex systems;

Multidimensional statistical analysis;

Mathematical and computer forecasting;

Basics of Python Programming;

Introduction to Machine Learning in Python;

Numerical methods of computer modeling and analysis;

Data mining technologies;

Fundamentals of computer data analysis using the R language;

Methods and means of data visualization;

Discrete optimization;

Mathematical methods of control in conditions of incomplete information;

Analysis and forecasting of time series in economics and finance in the Mathematica package.

Main competencies that the graduate will have

Specialists who have completed training in profiling are ready to:

• apply effective mathematical methods and computer technologies, as well as specialized software to solve scientific and practical problems;

• develop and apply effective methods, algorithms and software tools for computer data analysis;

• create and research models of complex systems and processes of various nature;

• develop intelligent decision support systems;

• solve problems of computer modeling and optimization of systems and processes of various nature, management of data mining processes, simulation modeling, statistical modeling and forecasting.

Area of future professional occupation

Entrance tests