Objective of Educational Program

The goal of the educational program is to provide training of highly qualified scientific and applied specialists and software engineers in the field of modeling, algorithms and analysis of large data, as well as managers and managers of software and information systems for the information technology industry and interdisciplinary industries related to the protection and processing of data in various sectors of the economy of the Republic of Kazakhstan.

List of a specialist’s positions

• Database Administrator;
• Software Developer;
• High Load Application Developer;
• AI Developer;
• HPC calculator;
• Developer of Mathematical Models;
• Computational Experiment Programmer;
• Head of the organization;
• Deputy head of the structural unit;
• Head of the structural unit;
• Expert of the republican center;
• Employee of the national scientific and practical center, university;
• Engineer-developer of artificial neural networks;
• Quantum Computing Technologist;
• Engineer-technologist of peripheral computing;
• Quantum Computing Analyst.

Learning outcomes of Educational Program

• Developing methods and algorithms for computational mathematics based on the approximation of differential equations by methods of finite differences, volumes or elements. <br></br>Conducting a fundamental analysis of computational methods and difference schemes for convergence and correctness, including in the case of high-performance algorithms using elements of mathematical logic and the theory of computability. <br></br>Solving computational problems with complex geometry of regions by building and using correct structured, curvilinear, unstructured computational grids. <br></br>Using data mining techniques based on deep learning, reinforcement learning, generative adversarial networks to effectively predict outcomes. <br></br>Developing parallel computational algorithms for engineering problems and implementing them in high-performance systems, developing quantum computing algorithms. <br></br>Developing and conducting computational simulations of probabilistic processes from various industries using stochastic modeling methods. <br></br>Using methods of data analysis in various areas of production, on real data for the selection of parameters, adaptation and testing of computing systems based on real experiments. Conducting independent research, solving modern urgent problems, publishing results in high-rating journals and speaking at conferences. <br></br>Have knowledge in related fields of project management, data science, information security.