Mathematical Methods of Digitalisation of Economics

01.04.02In russian

Level of education Master

Type of instruction Full-time

Duration 2 years

Main academic courses
  • History and Methodology of Applied Mathematics and Computer Science: Methods of Mathematical Modelling of Dynamic Processes
  • Operations Research Methods and Models
  • Introduction to Problems of Digital System Investigation and Design
  • Database Technologies
  • Concepts and Methods in Economic Theory
  • Pareto Principle and Set
  • Markov Chains in Applied Control Problems
  • Discrete and Probabilistic Models
  • Machine Learning
  • Management (Advanced Level)
  • Marketing (Advanced Level)
  • Methods of Optimal Solutions
  • Dynamic Problems
  • Discrete Control Systems
  • Big Data
  • Econometrics
  • Project Management in Information Technology
  • Modern Computer Technologies
  • Technology of Internet Application Development
  • Mathematical Modelling of Digital Control Systems
  • Data Mining
  • Risk Management
  • Business Process Modelling and Management
  • Modern Information Retrieval
Our advantages
  • The programme is interdisciplinary. It is designed to train master’s students who will be engaged in practical activities in the field of digitalisation of the economy across three areas: information technology; mathematical methods of optimisation; and managerial activities to build, develop and distribute ready-made software.
  • Digitalisation of the economy includes: the production, distribution and consumption of software and appropriate algorithms; and the creation and maintenance of information systems (IT systems). The digitalisation process and its mathematical support are very flexible when analysing and using production factors. They provide attractiveness for investments. Their development level is crucial in: the country's security system; GDP growth; and creating competitive products and trading systems.
  • Digitalisation of the economy can develop through small and medium-sized businesses, without requiring large investments in fixed assets. Graduates of this master's programme will be capable of research activities in such areas as: the development of computational optimisation algorithms; the development of mathematical modelling; software engineering; system administration; information security and information protection; Web technologies; supercomputing; and neural computation and systems
Career opportunities
  • Systems Analyst
  • IT manager
  • Technical writer (expert in technical documentation for information technology)
  • Teacher of professional training, vocational education, and lifelong professional education and training
Main areas of research

Main areas of research activities

  • developing computational optimisation algorithms
  • developing mathematical modelling
  • software engineering
  • system administration
  • information security and information protection
  • Web technologies
  • supercomputing
  • neural network computing and systems

Areas of applied and production activities

  • Application Development
  • Business Analysis
  • Database Administration
  • Database Analysis
  • Information Auditing and Data Compliance
  • IT Architecture
  • IT Operations Management
  • IT Security and Risk Management
  • Network Administration
  • Project Management