7М06103 Business Analytics

Description of the educational program

The latest advances in information technology have enabled organizations, enterprises, institutions, government agencies and businesses to accumulate large amounts of data. Business analytics are modern methods and tools for extracting useful information from large amounts of data in order to deeply understand and optimize business processes and make the best management decisions. Applying models and methods of extracting knowledge from data, a business analyst is able to analyze all available solutions in difficult situations, predict and assess the possible consequences and risks of their implementation, and develop recommendations to management decision makers. Business analysis as a direction is closely related to requirements analysis, but aims to identify changes for the organization that are required in order for the organization to achieve strategic goals. These changes include changes in strategy, structure, policies, processes and information systems. Business analysis as a modern trend of higher professional education of a new generation, substantiates the innovative aspects of the master's program in business analysis, which form the most important qualification characteristics of modern in-demand professions of a business analyst.

One of the key specialists in the field of IT is a business analyst. Today, the labor market is in demand for specialists who are able to work in the field of business analysis of multidimensional data of complex structure, in the field of managing business processes of an enterprise and making effective management decisions based on data analysis.

The main competitive advantages of OP "Business Analytics" can be called the following: 1)that it is focused on the needs of modern personnel policy in the field of business analysis; 2) it is in demand in the educational services market due to the relevance, novelty and insufficiency of educational programs for the training of business analysts; 3) the professional cycle of disciplines has a customizable block for the choice of undergraduates, which maximally takes into account their interests in certain areas of analytical activity, and the program also provides starting intellectual capital for academic and scientific careers.

The convergence of the areas of OP is ensured by an optimal combination of disciplines in a balanced curriculum, provides a set of knowledge necessary for successful professional activity in the field of business analysis in the conditions of digitalization.

A Master's degree in Business Analytics will have a unique set of competencies that are in demand at any modern enterprise: to know modern methods and technologies of data mining; to be able to apply them in the analysis and design of business processes of the organization, providing analytical support for decision-making processes; to possess the tools of data mining and business analytics for modeling digital business, and improving the efficiency of its functioning and development.

Graduates can work at enterprises and organizations of any form of ownership in various market segments as IT managers, business analysts, architects of information systems and IT business, heads of directions and business projects. Masters of the Business Analysis training course can realize themselves in most applied areas related to the use of IT competencies, including in the scientific field related to the use of mathematical methods and tools.

The purpose and objectives of the educational program

The purpose of the OP is to provide research training of masters in the field of business analysis of business processes and/or ICT projects of the organization in accordance with the requirements of the new information society.

Objectives of the OP: to equip trainees with theoretical knowledge and practical skills necessary for:

  1. forming ideas about the role and place of business analysis in the company's activities;
  2. applications of cognitive models of data analysis for making effective management decisions;
  3. using business intelligence tools and platforms;
  4. modeling and optimization of business processes and/or ICT projects of the organization,
  5. formation of skills for developing data analysis models;
  6. IT project management in the field of information systems development based on business analysis.
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