Objective of Educational Programm

To train specialists in modeling production processes and forecasting social phenomena based on differential and integral equations, computational experiments and big data analysis, who have a solid fundamental knowledge of mathematics and are highly qualified in applied methods based on computational technologies.

List of a specialist’s positions

• Database Administrator
• Technician
• AI Developer
• Developer of Mathematical Models
• Head of the organization
• Head of the structural uniit
• Employee of the national scientific and practical center, university.
• Software Developer
• High Load Application Developer
• HPC calculator
• Computational Experiment Programmer
• Deputy head of the structural unit
• Expert of the republican center

Learning outcomes

• To be able to think critically and analyze assigned tasks, possessing general flexible skills in the preparation and presentation of results and documents, knowledge of languages and social interactions to ensure fruitful work, both individually and in teams.
• To be able to carry out all stages of the development of information systems and software at different scales to prepare parts or entire software products.
• To formulate and prove fundamental laws and theorems in the fields of mathematical modeling and computational sciences, analyze and discuss the results of computational experiments for scientific research.
• To know and select mathematical models and analyze them for convergence and stability in order to predict the course of real processes in the relevant industry.
• To formulate and tune the methods of computational sciences in order to optimize, solve new problems, adapt algorithms to new computing platforms.
• To be able to collect, process and analyze data, using the methods of mathematical statistics, data science and machine learning to make forecasts and prepare managerial and operational recommendations.
• To apply high-performance computing algorithms based on embedded, medium- and large-scale computing systems to solve real industrial production problems.
• Develop mathematical models, develop numerical algorithms and choose computational methods for conducting computational experiments and predicting the course of deterministic and probabilistic processes.
• Formulate and apply methods of mathematical modeling, computational methods and data analytics methods for engineering production problems
• Formulate and apply methods of mathematical modeling, computational methods and methods of data analytics for problems of bioinformatics and genetics
• Formulate and apply methods of mathematical modeling, computational methods and data analytics methods for social engineering problems and social network analysis