Managerial Accounting


This course continues to build students’ background in accounting and finance. In contrast to BBA courses Masters’ level course will concentrate on practical techniques and more advanced methodology of financial and managerial analysts, financial controllers’ and financial directors’ work in multinational companies. The course includes a theory, practical applications of budgeting and financial modeling and problem-solving techniques in managerial accounting. Students will be exposed to various issues of accounting and financial work.


Will be interesting for

  • Students or anyone who is interested to pursue a career in management currently willing to learn approaches of managerial accounting, budgeting and financial planning.
  • Analysts, financial controllers, accountants.


After course completion, you will be able to

  • Construct Profit and Loss Statement, Balance Sheet, Cashflow Statement based on various inputs
  • Prepare Master Budget of a company
  •  Construct and analyze various managerial accounting reports, including a Master Budget for a company or a start-up
  • Analyze efficiency and effectiveness of operations based on various techniques of financial analysis
  • Analyze CVP/BEP of a company or a project, analyze company economics and unit economics
  •  Prepare managerial presentations with cohesive conclusions
  • Analyze the operational and strategic strengths in order to make managerial decisions
  •  Assess credit structure and credit worthiness of a company
  • Analyze ABC/ABM costs, cost drivers, etc



Linear algebra, math



Andrii Drobot – MBA, Hon.Dr. Lecturer of Kyiv School of Economics





Education format

Twice a week for seven weeks



Monday, March 6 through Friday, 28 April 2023



10 000 uah


Course outline

1. Homogeneous functions.

2. Cardinal vs ordinal utility. Homothetic functions and their properties.

3. Concave functions in finite dimensional spaces. Concave functions in economics.

4. Quasiconcave functions.  Calculus criteria of quasiconcavity.

5. Eigenvalues and eigenvectors.

6. Linear difference equations.

7. Ordinary differential equations.