The Master’s Degree Program in Statistics (by Industries and Sectors) is designed to train highly qualified specialists with advanced knowledge in statistical analysis, research methodology, and data-driven decision-making. The program emphasizes applied statistics, business and financial analysis, and modern statistical programming tools for professional and academic careers.
The master’s curriculum includes the following core courses:
Research Methodology
Applied Statistics
Business Statistics
Financial Statistics
Programming in R
These courses provide a strong combination of theoretical depth and practical application, focusing on real-world economic, business, and financial data.
Upon successful completion of the program, graduates will be able to:
design and conduct independent scientific and applied research;
apply advanced statistical methods to economic, business, and financial data;
analyze industry- and sector-level processes using quantitative techniques;
use the R programming language for statistical modeling, data analysis, and visualization;
interpret analytical results and prepare professional reports and academic publications;
support strategic and managerial decision-making using statistical evidence.
Graduates of the master’s program may pursue careers in:
government and official statistical institutions;
ministries and public administration bodies;
banks, financial institutions, and insurance companies;
consulting and analytical firms;
research institutes and think tanks;
international organizations and development projects;
higher education institutions and research-oriented positions.
Graduates may work in positions such as:
Senior Statistician;
Data Analyst / Senior Data Analyst;
Economic or Financial Analyst;
Business Analytics Specialist;
Research Associate;
Lecturer or Assistant Lecturer (in relevant fields).
Graduates of the master’s program are expected to:
possess advanced theoretical and applied knowledge of statistics;
independently conduct statistical and econometric analysis;
work confidently with large datasets and statistical software, including R;
develop analytical models for industry, business, and financial analysis;
prepare high-quality analytical reports and research papers;
demonstrate critical thinking, professional communication, and ethical responsibility;
comply with academic integrity standards and relevant regulatory requirements.
"Department of Economic Statistics"
100066, 49 Islam Karimov Street, Tashkent
+998 71 239 01 49
info1@tsue.uz