The program Mathematical and Computer Modeling is aimed at training students for careers in various fields, including financial modeling, biocomputing, engineering modeling, and research. Students take courses in numerical methods, linear algebra, probability theory and statistics, discrete mathematics, and computer programming. They also study modeling techniques such as optimization and data analysis, and learn how to apply these methods to problems in finance, engineering, biology, and social sciences.

— Machine Learning

— Statistics for Data Analysis in Python

— Business Statistics

— Mathematical Methods for Modeling Physical Processes

— Modeling of Financial Problems

— Mathematical Methods and Computer Modeling of Biological Processes

— Mathematical Methods for Modeling of Chemical Processes

— Biocomputing and Neural Network Modeling.

— Ability to build mathematical models using modern information technologies methods

— Ability to analyze received information

— Ability to develop new algorithms

— Ability to design optimization methods and control algorithms

— Ability to process large volumes of data.

— Comprehensive training in mathematical and computational modeling: The program forms a solid fundamental base and develops skills in applying mathematical methods and computational technologies to analyze complex systems

— Flexibility and variability of training: Specialization tracks (Financial Mathematics, Engineering Mathematics, Biocomputing) of electives, and minors ensure individual educational route

— Practice-oriented and real-world tasks approach: Students get experience working with modern modeling, optimization, and data analysis methods used in industry and research

— Wide career opportunities: Graduates are in demand in IT-sphere, finance, industry, research, healthcare, and ecology

— Strong professional and academic growth prospects: The program serves as a solid foundation for further studies and career development in a rapidly evolving technological landscape.

— Software Designer

— Software Engineer

— Business Analyst (in ICT)

— Machine Learning Specialist

— Big Data Architect.