All courses are taught in English and are based on standard leading textbooks. The programme contains six academic modules. The courses in each module are logically sequenced. This provides for the gradual advancement of skills and knowledge needed for the complete understanding and application of econometric and economic models.

The programme starts with an extensive course on the mathematical and statistical foundations necessary to successfully master the theory and toolkits offered in the specialized core courses. The core courses are devoted to static and dynamic econometric theory and methods, statistical learning, microeconomic and macroeconomic modelling, etc. In addition, courses based on using computational software environments such as R, Python, VBA, SQL, EViews, and SAS, provide a wide exposure to practical applications.

Students can also choose among specialized elective courses related to topics such as empirical finance, credit risk modelling, and SAS programming (delivered jointly with ERMC guest lecturers); scorecard development for financial risk assessment (delivered jointly with Experian), decision science, , etc. Finally, the programme provides options to take part in courses focused on project management, soft skills development, acquiring professional research skills, etc.

Evaluation of students’ academic achievement is based on two complementary approaches. The first approach includes traditional exams during and at the end of the respective semesters, and the second one implies solving practical problems, including through structured assignments. The programme completes with writing a thesis on a topic jointly defined and implemented in cooperation with supporting companies. In this respect, writing the thesis also facilitates the smooth transition to the job market.

For a comprehensive list of courses offered, click here.