Training of highly qualified specialists in the field of economics and business analytics with analytical, technical and communication skills for forecasting, planning and identifying the main trends in the economy. Be able to apply analytical methods, use artificial intelligence, manage financial aspects to solve problematic situations in the economy of organizations.

ECO 203 Statistics 1-5 ECTS;
FIN 303 Fundamentals of Financial Management – 5 ECTS;

Total: 10 ECTS

There is no need to study prerequisite subjects if your Bachelor degree (major) is in relative speciality.

• Economic theory
• Macroeconomics

• Evaluate dependencies in real data, as well as visualize, interpret and use them for forecasting using econometric models;
• To contribute to the formation of a highly educated person with a broad outlook,by understanding basic knowledge in the field of social, humanitarian disciplines;
• Identify scientific and economic problems and evaluate them using various sources of information;
• Write a research paper in the field of economics and business analytics, using the acquired academic, research skills during training;
• To forecast, plan and identify the main trends in the development of the economy using micro- and macroeconomic concepts;
• Increase the competitive advantage in the labor market by using additional professional English;
• Analyze data, understanding the situation under study, identifying trends, forecasting and receiving recommendations, using Excell and the Python programming language;
• To explore the possibilities of using artificial intelligence (AI) solutions in customer classification, in transaction monitoring and security, in regulatory
  requirements; reduce user support costs by studying various cases of AI implementation;
• Successfully manage projects by applying effective communication skills in project tasks;
• Manage the financial aspects of the project, including its cost, revenue and profit, using key assessment methods;
• Demonstrate the application of analytical methods in various fields, such as finance, marketing, personnel management, logistics, using various
  data visualization tools, such as Power BI, Tableau.

• Research Methods in Social Sciences
• Stakeholder Management
• Human Resource Management
• Econometrics for Business Analysis
• Empirical Finance
• Psychology of Management
• Foreign Language (professional)
• Data Analysis
• Mathematical economics
• Applied Analytics
• Microeconomic analysis
• Higher School Pedagogy
• History and Philosophy of Science
• Finance in Project Management
• Financial Risk Management
• Macroeconomic analysis
• AI for Financial Technologies