Management of Business Information Systems | Master's Degree Program | Altai State University

The program prepares specialists for solving problems of modeling and designing applied and information processes in the sphere of economy and management on the basis of modern technologies in accordance with the development strategy of the organization. Graduates are able to design the architecture of information systems in business and manage projects to create information systems of enterprises and organizations.


09.04.03 Applied Computer Science


Management of Business Information Systems

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

66 040 ₽

Entrance test

Examination in Applied Computer Science

Passing score in 2022


What training you get

Graduates of the program have an in-depth knowledge of two areas - information technology and the economics unit - in order to solve key economic challenges facing an organization through the latest IT solutions.

Core disciplines

  • Development of applied software solutions based on an object-oriented approach;
  • IT project management;
  • Technologies of development of object-oriented information systems;
  • Information technologies of modeling and forecasting on the securities market;
  • Information technologies of multidimensional data analysis;
  • Business analytics and big data analysis; etc.

Career opportunities and graduates

Professional trajectory of the graduates is positions related to scientific, scientific-production, complex managerial activity in economics and finance: researcher, head of information-analytical service, head of information services, head of applied software development, IT project manager, information systems expert, system analyst in organizations and institutions of various forms of ownership.


  • Program Head - Alexey Jurievich Yudintsev, Candidate of Science (Physics and Mathematics), Associate Professor at the Department of Digital Technology and Business Analytics.
  • Phone: +7 (3852) 296-546
  • E-mail:


Print version Modified 8.07.2023