Specialty 113 «Applied Mathematics» prepares specialists in mathematical modeling, algorithm development, data analysis, and software development for solving complex scientific, technical, and business problems.

Main Study Areas:

Mathematical and Computer Modeling: construction of mathematical models of physical, economic, biological, and social processes.

Data Analysis and Machine Learning (Data Science & ML): development of artificial intelligence algorithms, statistical processing of large datasets (Big Data).

Optimization and Operations Research: finding optimal solutions in logistics, economics, resource planning, and managerial decision-making.

Cryptography and Information Security: development of encryption algorithms, security protocols, and data coding.

Key Disciplines:

Higher Mathematics (Differential Equations, Functional Analysis, Mathematical Physics)

Probability Theory, Mathematical Statistics, and Data Mining

Optimization Methods and Operations Research

Algorithms, Data Structures, and Programming (Python, C++, R, MATLAB)

Machine Learning and Neural Networks

Graduate Career Roles:

Data Scientist / Machine Learning Engineer

Data Analyst / BI Analyst

Algorithm Engineer / Software Engineer

Cryptographer / Information Security Specialist

Quantitative Analyst (Quant) in the Financial Sector

Primary Employment Sectors:

IT companies (product and service), R&D centers, analytical and financial departments of banks, investment and risk management companies, defense industry tech enterprises, research institutes, and laboratories.

Training is conducted at the Postgraduate and Doctoral Studies Department

Training is provided under the following degree programs:

Educational Program	Degree Level	Mode of Study	Duration of Study
Applied Mathematics	Doctor of Philosophy	Full-time and Part-time	4 years