The goal of the educational program is to train highly qualified scientific and scientific-pedagogical personnel capable of applying the acquired knowledge and skills in the field of science, education, IT and industry.

Objectives of the educational program:

• training of specialists to work in research departments of IT companies and scientific organizations;

• mastering the skills of conducting scientific research and development in the field of modern information and telecommunication technologies;

• in-depth training of professionals in the field of industrial software production technologies for information and computing systems for various purposes;

• ensuring a significant scientific background for master's students for admission to doctoral studies. 

Main competencies of a graduate of the educational program:

• use mathematical and technological knowledge and skills to select, evaluate, analyze and use big data tools and technologies;

• apply modern technologies for developing web applications using web services, ensuring JWT application security, microservice architecture technologies and related data formats;

• organize the development, implementation and industrial testing of software;

• apply management competencies in the field of implementation of big data systems and services based on big data technologies;

• use research competencies in the field of big data analytics, predictive modeling, forecasting, and enterprise data management.

• design distributed information systems, their components and protocols for their interaction;

• develop and upgrade software and hardware for information and automated systems;

• design high-performance information systems and system software;

• act as an expert in teaching users the necessary skills to use the product;

• optimize the adopted design and technological solutions, providing the necessary conditions for maintaining a high level of quality of objects.

Objects of professional activity:

Research institutes; public and private enterprises and organizations that develop, implement and use computer technology and software in various fields, namely: mechanical engineering, metallurgy, transport, telecommunications, science and education, healthcare, agriculture, services, administration, economics, business, management of various technologies, that is, in almost all spheres of human activity, teaching activities in universities, secondary specialized and other educational institutions of state and non-state profile. 

Professional practice, employment:

"Widget" LLP (BI GROUP's partner in SmartRemont automation), Almaty City Digitalization Department, "Quant Robotics" LLP (one of the leading companies in Central Asia in developing programs and reprogramming robots by integrators and manufacturers), RSE at the PVC "Institute of Information and Computing technology", ROO "National Engineering Academy of the Republic of Kazakhstan" (an academy coordinating and developing scientific and engineering activities in Kazakhstan), LLP "Academset" (a large company for cloud solutions, Data Center in Almaty), etc.

Main learning outcomes:

• edit the texts of scientific and technical articles, including those in a foreign language;
• conduct scientific research in modern information systems;
• master modern technologies using various methods of software development and information technology in all areas of the digital industry;
• apply modern intellectual technologies in professional activities and methods in analyzing big data;
• use modern information technologies in the educational process and demonstrate the skills of professional communication and intercultural communication, oratory, correct and logical presentation of their thoughts in oral and written form, necessary for everyday professional activities;
• explore artificial intelligence based on a neural network in professional activities;
• analyze the scientific results of research experiments;
• explore methods of optimization and protection against cyber threats to the digital industry with solutions to issues of identifying and eliminating technical errors to improve the system.

Regulations on the research work of a doctoral student

Program on the passage of pedagogical practice for doctoral students