Applied Mathematics and Computer Science | Master's Degree Program | Altai State University

The program prepares super-specialists, able to invent, create and implement new computer technologies in the leading companies of socio-economic sphere and educational environment. It trains personnel capable of project and pedagogical activities, skilled in modern IT technologies, methods of mathematical modeling of socio-economic systems and methods of intelligent data analysis, taking into account the prospects and trends in the development of digital technologies.


01.04.02 Applied Mathematics and Computer Science


Applied Mathematics and Computer Science in Socio-Economic Sphere and Education

Learning mode

Full-time education, 2 years

State-funded places


Employer-sponsored places


Fee-paying places


Tuition fees per semester in 2023 / 2024 academic year

56 850 ₽

Entrance test

Applied Mathematics and Computer Science exam

Passing score in 2022


What training you get

The educational program focuses on mastering the methods of applied mathematics and computer science.

You will study:

  • basic disciplines aimed at the development of digital culture, formation of teamwork skills, project competence, communication skills, including business communication skills in a foreign language;
  • disciplines that form competence in the fundamental and practical foundations of professional activity, develop the ability to solve problems of applied mathematics and computer science, as well as combine and adapt existing IT technologies to solve professional problems;
  • professional disciplines, aimed at forming the skills of development of applied methods and algorithms of data analysis and automation of processes in the field of professional activity and formation of competencies in the field of IT-project management.

Core disciplines

  • Methods of mathematical modeling of socio-economic systems,
  • Models of system compromise, Information technologies and software systems,
  • Designing and management of projects in professional activity,
  • GIS-technologies,
  • Spatial analysis methods,
  • Intelligent data analysis methods,
  • Data interpretation and visualization technologies,
  • Cloud technologies,
  • Python programming.

Career opportunities and graduates

Graduates of the program will be able to implement their own IT projects both in teaching IT disciplines in general education and professional organizations, and in IT departments of organizations, including areas related to big data analysis.


  • Program Head - Candidate of Physical and Mathematical Sciences, Associate Professor of Theoretical Cybernetics and Applied Mathematics Chair Zhuravleva Vera Vladimirovna.
  • Phone: +7 (3852) 298-151
  • E-mail:


Print version Modified 4.07.2023