The educational program is aimed at training engineering professionals with modern knowledge and practical skills in the fields of nuclear reactor physics, radiation technologies, digital control systems, and information security of nuclear energy facilities.The program combines fundamental training in mathematics, physics, programming, and engineering disciplines with in-depth study of nuclear physics, nuclear power plant operation, technological process digitalization (SCADA systems, digital twins), as well as numerical modeling tools (MCNP, SCALE).
Special emphasis is placed on automation, microcontrollers, big data processing, modeling of complex technical systems, and cybersecurity in the nuclear industry.Graduates of the program will be able to work at nuclear power plants, research and design institutes, nuclear fuel production facilities, as well as in organizations responsible for radiation control and safety.
Admission Committee
(7172) 64-57-10
info@astanait.edu.kz
Mon-Fri 9:00 – 18:00
The objective of the educational program is to train highly qualified specialists in the field of nuclear energy who possess fundamental knowledge in nuclear and applied physics, engineering and technical skills, as well as digital competencies necessary for the design, operation, automation, and safety assurance of nuclear power installations.
The program is aimed at developing students’ abilities to:
The course includes knowledge of sociological subject areas, research methods and directions. The course will discuss in detail the basic sociological theories and the most effective ways of gaining deep knowledge about various aspects of our modern society. The special significance of this course for students is to develop a sociological imagination, to understand the basic concepts of sociology as a science.
The course is devoted to the formation of the physical culture of the individual and the ability of the directed use of various means of physical culture to maintain and strengthen health.
This course presents questions of psychology in a wide educational and social context. The knowledge and skills acquired and formed as a result of mastering the course content give students the opportunity to put them into practice in various spheres of life: personal, family, professional, business, social, in working with people from different social groups and age groups.
«Information Communication Technologies» course is developed to learn the introduction to ICT and the idea of computer systems; to obtain understanding of computer systems, cybersecurity, smart technologies, human-computer interaction. Students acquire the concepts of relational databases, computer networks, and cloud technologies, and gain extensive practical experience working on a project. In addition to the practical purpose, this course provides academic and educational purposes, helping to expand the horizons of students, improve their general culture and education.
The course develops student academic English skills, including grammar, vocabulary, reading comprehension, critical thinking and analysis, and listening and speaking skills. Students will learn how to use academic English effectively to express complex ideas and deliver academic presentations focusing on various aspects of public speaking. The course helps students better understand academic English conventions and use them competently in their disciplines and specific areas of expertise.
The course further enhances student academic English skills by emphasising active and participatory learning. This is achieved through a series of writing assignments that are designed to develop student ability to produce well-structured, well-supported, and persuasive texts using advanced English conventions, grammar and vocabulary. The course provides students with the necessary tools to write competently across various disciplines, ensuring their success in their academic pursuits.
The course helps students acquire complex knowledge on the history of the Motherland, identify true history based on facts, evidence, written and archival records, research analysis and develops historical consciousness in accordance with national priorities and modern challenges. History of Kazakhstan covers events, facts, processes, and historical patterns that have taken place from antiquity to the present day. This course is very important because it is a state-significant academic discipline which develops civil identity and brings its contribution to the development of students’ knowledge.
The course is dedicated to general political knowledge for specialties in the field of ICT. It includes political self-awareness, improvement of one’s political outlook and communicative competencies. Teaching political knowledge is communicative, interactive, student-oriented, result-oriented, and largely depends on the independent work of students.
The course is also designed for the formation of bachelors’ ideas about the factors that complicate teaching at the present stage of development of society, about the difficulties specific to this activity. The course will help to become the basis for the study of the whole complex of social and human sciences, as well as an addition to general courses in history and philosophy. The course includes topics such as morphology, semiotics, anatomy of culture; the culture of nomads of Kazakhstan, the cultural heritage of the proto-Türks, the medieval culture of Central Asia, the formation of the Kazakh culture, the Kazakh culture in the context of globalization, the cultural policy of Kazakhstan, etc.
The course occupies a special place in the system of bachelor training with engineering education. For engineering students, the study of professional Kazakh/Russian is not only an enhancement of the skills and abilities acquired at school, but also a means of mastering the future profession with a focus on writing and reasoned oral speech allowing for effective communication.
The course occupies a special place in the system of bachelor training with engineering education. For engineering students, the study of professional Kazakh/Russian is not only an enhancement of the skills and abilities acquired at school, but also a means of mastering the future profession with a focus on writing and reasoned oral speech allowing for effective communication.
The object of study of discipline is philosophy as a special form of spiritual studies in its cultural and historical development and modern sound. The main directions and problems of world and national philosophy are studied. Philosophy is a special form of cognition of the world, creating a system of cognition of the general principles and foundations of human life, about the essential characteristics of a person’s relationship to nature, society and spiritual life, in all its main direction.
The discipline introduces students to modern concepts and tools of entrepreneurship and obtaining the theoretical knowledge and practical skills necessary to launch their own startup, taking into account the basics of life safety. On the basis of law and anti-corruption culture, the process of obtaining a patent, the legality of ownership of technological development is being studied, considering the legislation of the Republic of Kazakhstan in the field of intellectual property. Students apply strategic analysis in the field of economics, management, communication and technological entrepreneurship.
Within the framework of the academic discipline, the student studies the essence of entrepreneurial activity on the basis of the current legislation of the Republic of Kazakhstan. The course will demonstrate the role and place of small enterprises in the modern conditions of the functioning of the economy of the state and society. The discipline will allow to understand the basic principles and content of the business plan of business entities, to form thinking based on modern anti-corruption culture, organizational forms of entrepreneurial activity are explained, including considering sustainable development, ecology and safety of personnel.
This course introduces students to the fundamental principles of personal and digital finance. It covers key financial concepts, tools, and strategies necessary for effective financial resource management in everyday life and professional settings. Topics include basic financial planning, budgeting, modern banking services, and the risks and opportunities associated with digital financial technologies. The course aims to foster financial responsibility, critical thinking, and informed decision-making in a rapidly changing economic environment.
The academic discipline includes knowledge of analyzing functions represented in a variety of ways, and understanding the relationships between these various representations, understanding the meaning of the derivative in terms of a rate of change and local linear approximation, and using derivatives to solve a variety of problems. The course is aimed at forming students’ mathematical foundation for solving applied problems in their specialty.
The course covers the basics of mechanics with an emphasis on conservation laws, particle interaction modeling, computational methods, and microlevel representations. Skills of system analysis of physical processes using numerical modeling are being developed.
The discipline covers the basic concepts of the structure of matter, chemical bonds, properties of elements and their compounds. The processes of oxidation-reduction, acid-base interaction, chemical equilibrium and thermochemistry are considered with an emphasis on materials used in nuclear power engineering.
Academic discipline acquaints students with important branches of calculus and its applications in computer science. During the educational process, students should become familiar with and be able to apply mathematical methods and tools (ordinary differential equations, series, double and triple integrals) to solve various applied problems. Discipline forms the ability to apply mathematical methods and tools (differential equations, series, double and triple integrals) to solve complex applied problems in their specialty.
The discipline studies the molecular structure of matter, thermal motion, the laws of thermodynamics, and statistical models. Internal energies, entropy, phase transitions, and thermal processes in closed and open systems are considered.
The discipline reveals the principles of an object-oriented approach to software development. The basic concepts are studied: classes, objects, encapsulation, inheritance, and polymorphism. The skills of designing and implementing software solutions using OOP are being developed.
The course aims to develop an understanding of the fundamentals of linear algebra and matrix theory. The subject of the discipline is the basic properties of matrices, including determinants, inverse matrices, matrix factorizations, eigenvalues, linear transformations, etc.
The course covers electric and magnetic fields, Gauss’s law, field flow, circulation, Maxwell’s equations, and electromagnetic induction. The emphasis is on microscopic models, numerical calculations, and conservation laws.
The discipline is aimed at developing basic skills in building algorithms and implementing them in the form of programs. The types of algorithms, data structures, control structures, functions, and debugging basics are studied. Logical thinking and analytical abilities are being developed.
The course focuses on analytical methods of mechanics, including Lagrangian and Hamiltonian formalisms. Generalized coordinates, variational principles, Euler–Lagrange equations, and the Hamiltonian approach to dynamics are considered. The skills of rigorous description and analysis of mechanical systems are being developed.
Educational practice is an integral part of the student training program. The main content of the practice is the implementation of practical educational, educational and research, creative tasks that correspond to the nature of the future professional activity of students. The purpose of educational practice: the study and consolidation of theoretical and practical knowledge in the disciplines obtained in the learning process, the development of creative activity and initiative of students, their artistic and creative needs and aesthetic worldview.
The discipline covers the basics of electrical circuits, signal analysis, Kirchhoff’s laws, as well as the operation of passive and active components. The principles of signal amplification, filtering and processing in analog electronic circuits are considered.
Discipline deepens the knowledge of the object-oriented approach, including abstractions, design patterns, exception handling, working with modules and components. The skills of developing scalable and supported software systems using the principles of OOP are being developed.
This course provides in details the principles and applications of digital electronics, including the fundamentals of Boolean algebra, the design and analysis of combinational and sequential logic circuits, and the operation and application of key digital elements such as decoders, multiplexers, counters, and registers. In addition, students are introduced to various memory circuits and the basics of programmable logic devices. The course also covers modern methods and technologies for designing digital systems, preparing students for work in the field of electronics and microprocessor technology.
The discipline covers the basics of quantum mechanics and the structure of atoms. Wave-particle dualism, energy quantization, the Bohr model, the Schrodinger equation, and the principles of superposition are considered. Atomic spectra and quantum effects in microobjects are studied.
This course provides a broad overview of cybersecurity, including how computers and networks are attacked, how the attackers benefit, and how to mitigate attacks. The types of attacks, vulnerabilities, attackers, and malware are studied along with the introduction of underlying technologies used in cybersecurity. Social engineering, cryptography, and application security are also introduced. The security principles in the CIA triad (data confidentiality, data integrity, and data availability) will be studied during the course.
Discipline introduces the basics of augmented (AR) and virtual reality (VR), their architecture, principles of interaction and areas of application. The basic technologies of tracking, display, user interface and tools for developing digital 3D scenes are studied.
The discipline is devoted to the study of the structure and properties of atomic nuclear energy, nuclear reactions, radioactive decay and the interaction of radiation with matter. The mechanisms of fission and synthesis, the main methods of registration and application of nuclear processes are considered.
The discipline studies the physical properties of solids and liquids based on quantum and statistical models. Crystal structure, band theory, conductivities, semiconductors, magnetism, and phase transitions are considered.
Academic Writing is aimed to develop the ability in differentiating writing styles in English; skills in critical reading and writing strategies to foster critical thinking and prepare a critical analysis of а written piece; understanding of academic vocabulary, grammar and style; skills in writing well structured paragraphs; writing statements with arguments and proofs; and writing an academic essay.
The discipline covers the principles of relational database design, creation, and management. Data models, SQL language, normalization, transactions, and the basics of administration are studied. Practical skills of working with DBMS in engineering tasks are being developed.
The discipline is aimed at developing knowledge and programming skills in assembly and C languages and introduces students to the interface and structure of various families of microcontrollers. Mastering the course will allow students to start developing simple embedded systems based on various families of microcontrollers.
The course studies the fundamentals of logic circuit design using programmable logic integrated circuits (PLIC). It covers hardware description languages (HDL), simulation, synthesis, debugging, and implementation of digital devices on FPGA platforms.
The internship is conducted at specialized enterprises of the nuclear industry, as well as in scientific or engineering organizations. Students become familiar with real equipment operating conditions, participate in applied engineering tasks, develop professional skills, and build readiness for work in the industry.
The course studies the physical processes occurring in the core of nuclear reactors. It covers neutron transport theory, criticality, reactor coefficients, fuel burnup, and reactor kinetics. The course provides the foundation for understanding the design and operation of nuclear power plants.
The course covers the principles of storing, processing, and analyzing big data generated during the operation and monitoring of nuclear installations. It includes the study of distributed system architectures, data analysis tools, and methods for integrating data into decision-making systems.
The course introduces methods of numerical modeling of neutron-physical processes in nuclear installations using professional software tools such as MCNP and SCALE. It covers criticality calculations, fuel burnup, radiation field analysis, and shielding analysis.
The discipline covers the principles of building the Internet of Things (IoT): sensors, wireless networks, microcontrollers and cloud platforms. The architectures of IoT systems, data exchange protocols, and the use of IoT in monitoring and management of engineering facilities are being studied.
The discipline studies the principles of functioning of nuclear power plants, the organization of their operation, equipment diagnostics, maintenance and repair. Special attention is paid to safety regulations, protection systems and safety culture in the nuclear power industry.
The discipline is devoted to the study of the properties of structural and fuel materials under the influence of ionizing radiation. Radiation defects, fuel elements, fuel burnout, corrosion resistance, and principles of material selection for nuclear installations are considered.
The discipline studies the principles of building automated process control systems at nuclear power plants. The architecture of SCADA systems, digital twin technologies, data collection and processing, visualization of parameters and integration with engineering infrastructure are considered.
The discipline examines the fundamentals of cybersecurity in relation to control systems and critical infrastructure of nuclear power plants. Threats, vulnerabilities, protection architectures, regulatory requirements, and methods for ensuring the sustainability of automated and digital systems in the nuclear industry are studied.
The course provides a broad understanding of the principles, architecture, and technologies behind computer networks. Students learn the basics of network communication, wired and wireless connection technologies, data transfer protocols, routing and switching, network security and network resource management. Emphasis is placed on understanding and using the OSI model and the TCP/IP model. This course prepares students for the design, management, and security of computer networks, as well as the foundation for more advanced networking topics and specializations.
The course is devoted to the study of information security technologies. It provides practical training in safeguarding vital infrastructure, focusing on endpoint security, network security, threat assessment, incident response, compliance, and developing and studying local security policies. Through hands-on simulations and industry partnerships, students gain insight into real-world challenges and solutions. They develop crucial skills in risk mitigation, ethical considerations, and regulatory compliance, preparing them for roles in industrial cybersecurity
In this course, the student will study the main types of tasks that can be solved with the help of machine learning – mainly we will focus on classification, regression and clustering. And also, they will be able to learn about the basic methods of machine learning and their features, learn to evaluate the quality of models – and decide whether the model is suitable for solving a specific problem.
The discipline is aimed at mastering the methods of data processing, purification and interpretation. The basics of statistical analysis, charting, interactive visualization and presentation of results using modern data analysis tools (for example, Python, pandas, matplotlib) are considered.
The discipline covers classical approaches in the field of artificial intelligence: intelligent agents, logical inference methods, heuristic search, planning, expert systems and decision-making. AI architectures and their applications in engineering tasks are being studied.
The discipline studies the architecture of artificial neural networks, backpropagation algorithms, convolutional and recurrent networks. Methods of deep model learning and their application in classification, pattern recognition, and technical diagnostics are considered.