The date of foundation:
The Department of mathematical modeling and data analysis is founded on June 8, 1988.
Staff: 2 Professors, 7 Associate Professors, 1 Senior Lecturer (including 2 Doctors of Sciences and 7 Ph. Doctors); researchers from the Institute for Applied Problems of Mathematics and Informatics, and from the National Academy of Sciences of Belarus: 1 Professor, 7 Associate Professors.
Chair: Yu. S. Kharin, Corresponding member of The National Academy of Sciences of Belarus, Doctor of Sciences, Laureate of the Government award of the Republic of Belarus, Merited Scientist of the Republic of Belarus.
Contact Information:
Belarus, 220030, Minsk, Nezavisimosti avenue, 4.
Main building, office 239
Tel. (+37517)2095530
Email: mmad@bsu.by
The fundamental academic subjects :

Multivariate Statistical Data Analysis.

Applied Statistical Data Analysis.

Optimal Experimental Design.

Time Series Data Analysis.

Stochastic Differential Equations.

Models and Methods of Forecasting Theory.

Pattern Recognition.

Intelligent Data Analysis.

Statistical Analysis of Incomplete Data.

Nonparametric and Robust Data Analysis.

specialty «Computer security», specialization «Mathematical methods of information protection».
The fundamental academic subjects :

Multivariate Statistical Data Analysis in Information Protection.

Arithmetic Foundations of Cryptography.

Statistical Analysis of Discrete Data.

Finite Automata Theory.

Statistical and Probabilistic Analysis of Random Sequences.

Algebraic Methods in Cryptography.

Computer Security in Operating Systems and Networks.

Cryptographic Protocols.

Information Technologies Security.

specialty «Economic Cybernetics» specialization «Econometric modeling, analysis and forecasting».
The fundamental academic subjects :

Mathematical Models of Intersectoral Balance.

Multivariate Statistical Data Analysis in Economics.

Models of International Economics.

Mathematical Theory of Forecasting.

Foundations of Quality Management.

Financial and Economic Calculus.

Computer Banking Technologies.

Financial Management.

Technical Analysis in Finance.

Mathematical and Applied Statistics

Statistical Modeling and Simulation

Econometrics and Mathematical Economics

Computer Data Analysis and Forecasting

Mathematical Methods of Computer Information Protection