"Applied Statistics and Data Management in Commercial Activities" Educational Program involves training Business Intelligence Architects and Revenue Strategists. In modern retail, finance, or e-commerce, statistics is not just about numbers—it is Data-Driven Growth. You are the one who designs loyalty algorithms, optimizes real-time pricing, and manages the corporation's data architecture. The objects of your activity will include shopping carts, logistics flows, credit risks, and marketing funnels of global brands.
The goal of training is to mold a Commercial Data Scientist who understands the language of business and mathematics equally fluently. We will teach you econometric modeling, database management, customer experience (CX) analysis, and statistical sales forecasting. This is the domain of Actionable Analytics & Database Management, where you will master SQL, Python (Pandas, Plotly), Power BI, and Tableau. You will learn to build systems that turn every byte of data into pure profit, becoming a key player in the headquarters of any successful company.
Your superpower: In a world of fierce competition, you will possess Market Intelligence and Data Management Mastery—the skill to see profitable niches where others see only chaos. Your professional toolkit will include:
- Commercial Data Management: designing and administering data warehouses for operational business analysis.
- Marketing Analytics: customer segmentation, churn rate forecasting, and customer lifetime value (LTV) calculation.
- Financial & Risk Statistics: assessing partner reliability and modeling real-time financial flows.
- Business Forecasting: creating predictive demand models to optimize inventory and supply chains.
Our graduates are Data Leads in retail chains, analysts in strategic planning departments of FMCG giants (Coca-Cola, Procter & Gamble), Big Data consultants in consulting firms, and data management system architects in the banking sector.
Objects of activity for bachelors include commercial data and business processes; mathematical models of consumer behavior; database management systems; as well as technologies for visualizing and presenting analytical insights.
Field of study: E Natural Sciences, Mathematics and Statistics
Specialty: E8 Statistics
Educational program: Applied Statistics and Data Management in Commercial Activity
Competitive proposal: Applied Statistics and Data Management in Commercial Activity
Accreditation certificate: The educational program was introduced in 2026.
Faculty: Faculty of Software Engineering and Business
Graduating department: Department of Economics and Public Administration (601)
Availability of part-time mode of study: available
Possibility of training foreign citizens: none