New Master`s Courses

 Economic Analysis and Master's program in Business and Financial Economics

Starting January 8, new courses will start within Master’s in Economic Analysis and Master’s program in Business and Financial Economics. This program is taught exclusively in English by faculty of western Ph.D. economists, professors with MBA degrees, and top business practitioners. 


The courses within the Master’s program in Business and Financial Economics gives fundamental economic and financial knowledge and skills essential for a successful career in data-driven business analysis and focuses on fundamental economic and financial knowledge and skills essential for a successful career in data-driven business analysis. 


  • The course Financial and Accountingwill 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 theory, practical applications and problem-solving techniques. Students will be exposed to various issues of accounting and financial work. Lecturer – Andrii Drobot 


  • Statistics and Econometrics III course will provide students with the knowledge and analytical techniques needed to transform data into a source of competitive advantage for firms in different industries. We will focus on marketing applications and discuss how to analyze different kinds of qualitative data (like whether or not a client buys something, or how satisfied a person is with a specific company product), how to combine datasets with several dimensions (for example, data from different companies who have been observed over several time periods). Lecturer – Hanna Vakhitova 


  • The course Financial Economics I: Financial Instruments provides both descriptive and quantitative introduction to financial markets and financial asset valuation. The objective is to equip students with fundamental analytical and quantitative skills necessary for understanding financial instruments. The main topics of the course are financial risk and return, portfolio theory, arbitrage, equilibrium asset pricing (CAPM), fixed income securities and linear derivative pricing. Lecturer – Olesia Verchenko 



  • Data Analysis and Visualization in R course is designed to get hands-on experience in working with big data in business, economics and finance. In addition to lectures students will have numerous business cases to be solved in groups. The course will cover basic tools of data analytics and visualization with more than 10 practical cases analyzed in R. Students are expected to come to classes with a notebook with the most recent versions of R and RStudio installed. Lecturer – Maksym Obrizan 



The courses with the Master’s in Economic Analysis program offers unique skills in economic and financial modeling and analysis, and it is an ideal preparation for positions that require a high level of analytical sophistication like research-oriented and analytical functions in international organizations or businesses, as well as for further study at international Ph.D. programs.


  • Microeconomics II continues to convey intermediate concepts of microeconomic theory to students with the use of mathematical and analytical tools. The emphasis of the course is also on developing analytical, problem solving and presentation skills. Lecturer – Olga Kupets 



  • In the first part of the Macroeconomics III course we will continue in-depth study of economic growth starting from growth stylized facts and growth accounting exercise which helps to identify sources of growth. Next, we will consider more recent growth theories in addition to Solow and Ramsey models that we covered before. In the second part of the course we will review topics in macroeconomics such as (advances in) real business cycle theory, asset pricing, optimal fiscal and monetary policy and intertemporal job search. We will also study Dynare which is a Matlab toolbox that helps to solve. And visualize macroeconomic DSGE models. Lecturer – Maksym Obrizan, Ph.D 



  • Statistics and Econometrics III –  is the third course in the econometrics series. The goal of this course is to continue building a theoretical foundation and practical skills needed for independently conducting an econometric research project. The focus of the course is on the application, however, no proper application is possible without understanding the underlying assumptions behind each method. Such knowledge will allow the students to understand both the advantages of each method and its limitations. This course is built around techniques of analysis of cross-sectional and panel data. Lecturer – Oleg Nivievskyi, Ph.D


  • The course Advanced Econometrics is built around the issue of identification of production function coefficients and thus is more leaning towards empirical Industrial Organizations. On the practical side, students will learn to embrace complexity of identification due to various data issues, such as attrition, non-balanced panels, pecuniary revenue vs. physical volumes of output, issue of outliers. Students will also understand possible sources of data and various limitations of such data set. Lecturer – Volodymyr Vakhitov, Ph.D 


Duration and format of courses:


Classes are held daily twice a week.

Teaching semester lasts 8 weeks from 8 January to 28 February 2020.

Upon completion of the course, each participant will receive a certificate.




Cost of one course: 6000 UAH


Program Manager: Mariia Pashkova, [email protected], 380685580015, 380505222058