"Statistical Data Analysis" Educational Program involves training Insight Architects capable of extracting invaluable knowledge from an ocean of information. Today, a specialist in this program is a Data Scientist with a powerful mathematical background. You are the one who does not just build charts, but develops mathematical models to predict financial crises, election outcomes, or the success of new drugs. The objects of your activity will include large datasets of socio-economic indicators, clinical trial results, and real-time transaction streams.
The goal of training is to cultivate an Analytical Mindset capable of distinguishing random fluctuations from fundamental patterns. We will teach you probability theory, mathematical statistics, regression analysis, and experimental design. This is the realm of Statistical Computing & Modeling, where you will master R, Python (Pandas, Scikit-learn), SQL, as well as specialized packages like SAS and SPSS. You will learn to transform noisy numbers into accurate forecasts, becoming the chief advisor for top management and government bodies.
Your superpower: In a world where data is the new oil, you will possess Probabilistic Vision and Statistical Rigor—the skill to make decisions with measurable accuracy. Your professional toolkit will include:
- Exploratory Data Analysis (EDA): uncovering hidden structures and anomalies in data using visualization techniques.
- Predictive Modeling: building models that forecast future states of complex systems based on historical data.
- A/B Testing & Experimental Design: scientifically proving the effectiveness of new products, marketing strategies, or treatment methods.
- Time Series Forecasting: analyzing and predicting the dynamics of markets, demand, and macroeconomic indicators.
Our graduates are Quantitative Analysts in the banking sector, biostatisticians in international medical centers, Risk Managers in insurance, and Lead Analysts at world-class marketing agencies.
Objects of activity for bachelors include mass random phenomena; statistical models and data analysis algorithms; software for statistical calculations; as well as methodologies for collecting and processing big data.
Field of study: E Natural Sciences, Mathematics and Statistics
Specialty: E8 Statistics
Educational program: Statistical Data Analysis
Competitive proposal: Statistical Data Analysis
Accreditation certificate: The educational program was introduced in 2026.
Faculty: Faculty of Rocket and Space Technology
Graduating department: Department of Higher Mathematics and Systems Analysis (405)
Availability of part-time mode of study: none
Possibility of training foreign citizens: none