Specialty E8 Statistics is the intellectual foundation for Data Science, Quantitative Analysis, and Risk Engineering. Today, a statistician is not a data registrar, but an Insight Architect and a Predictive Modeling Expert. You are the one who measures the level of uncertainty and turns the "white noise" of numbers into clear action algorithms for governments, hedge funds, and medical corporations. The objects of your activity will include large datasets of socio-economic data, bioinformatic sequences, and stochastic processes on stock exchanges.

The goal of training is to build an Analytical Powerhouse capable of seeing hidden patterns beyond human perception. We will teach you mathematical modeling, multivariate statistical analysis, theory of random processes, and working with Big Data. This is the realm of Statistical Learning & Evidence-Based Research, where you will master R and Python languages, SAS and SPSS environments, as well as Bayesian inference methods. You will learn to distinguish randomness from trends, becoming a "truth detector" in a post-truth world.

Your superpower: In a world where data is the new oil, you will possess Probabilistic Vision and Inference Mastery—the skill to make flawless decisions based on limited or noisy information. Your professional toolkit will include:

- Predictive Analytics: building models that forecast epidemics, financial crises, or voter behavior.

- Mathematical Statistics: developing new criteria for hypothesis testing and parameter estimation methods for complex systems.

- Econometrics & Financial Math: analyzing market volatility and evaluating investment portfolio risks.

- Statistical Quality Control: implementing zero-defect systems in high-tech manufacturing.

Our graduates are Quant Researchers on Wall Street, biostatisticians at pharmaceutical giants (Pfizer, Roche), Lead Data Analysts at Google, and chief strategists at national banks and strategic research institutes.

Objects of activity for bachelors include mass phenomena and processes across various fields; mathematical and statistical models; software tools for data processing, as well as methods for experimental design and sociological surveys.

Training is provided by:

- the Department of Higher Mathematics and Systems Analysis (405);

- the Department of Economics and Public Administration (601).

Educational Programs Offered:

Educational Program	Degree	Mode of Study	Duration of Study
Statistical Data Analysis	Bachelor	Full-time	3 years and 10 months
Applied Statistics and Data Management in Commercial Activities