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Digital technologies in nuclear power engineering

Digital technologies in nuclear power engineering

6B07103 Digital technologies in nuclear power engineering

Profile subjects: mathematics, physics

Threshold Score (Grant): 75.

Objective of Educational Program

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:

-understand and analyze physical processes occurring in nuclear reactors and radiation-affected materials;

-apply modern digital and computational technologies (including SCADA systems, digital twins, IoT, and artificial intelligence) for monitoring and controlling technological processes at nuclear energy facilities;

-perform engineering calculations and simulation of nuclear installations using professional software tools (such as MCNP, SCALE, and others);

-ensure the reliable and safe operation of equipment and systems at nuclear power plants, including aspects of cybersecurity;

-adapt to the requirements of the modern nuclear energy industry and participate in the development of innovative technological solutions.

List of a specialist’s positions

  • Nuclear Energy Engineer-Physicist
  • Nuclear Installation Operation Engineer
  • Radiation Safety Engineer
  • Engineer in Automation and Process Control (SCADA, Automated Process Control Systems)
  • Engineer in Technical Maintenance and Diagnostics of NPP Equipment
  • Specialist in Nuclear Reactor Calculations and Modeling (MCNP, SCALE)
  • Cybersecurity Engineer for Critical Infrastructure Facilities
  • Engineer in Microcontrollers and Digital Devices for the Nuclear Industry
  • Data Analysis and Digital Twin Specialist in Nuclear Energy
  • Junior Researcher or Research Assistant at a Nuclear Research Institute

Learning outcomes

  • Apply teamwork skills, ethical behavior, entrepreneurial mindset, and financial literacy in professional activities, considering their social significance. Evaluate the impact of physical activity and a healthy lifestyle on sustainable personal development.
  • Design and analyze analog electronic circuits considering the operating principles of hardware components and system functionality requirements
  • Analyze the operating principles of nuclear reactors and identify methods for calculating nuclear processes using modern specialized software and digital platforms.
  • Apply Kazakh, Russian, and English languages in oral and written professional communication; interpret, argue, and format academic and technical texts.
  • Apply mathematical and natural science methods to describe, analyze, and model physical processes underlying nuclear and energy technologies.
  • Apply modern programming languages, development tools, databases, and digital platforms to create engineering-oriented software solutions.
  • Apply data intelligence methods, including machine learning and deep learning, to optimize engineering and manufacturing processes.
  • Design and apply digital monitoring and control systems in nuclear energy, ensuring their information and cybersecurity.
  • Evaluate readiness for professional activity in the nuclear industry through participation in internships and completion of a graduation project applying theoretical knowledge in practice.
В062 - Electrical engineering and energy

Group of educational programs
Bachelor in «Engineering, manufacturing, and construction industries» in the educational program 6B07103 «Digital technologies in nuclear energy»

Awarded degree
3 years

Duration of study

Program Structure

GED – General Education Disciplines
CC – Compulsory Component
EC– Elective Component
Courses chosen by the student
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
GED
ЕС
Pred 2116 / TP 3113
Technological Entrepreneurship
5
2
GED
EC
Pred 2116 / TP 3113
Entrepreneurship
5
3
GED
ЕС
Pred 2116 / TP 3113
Financial Literacy
5
4
GED
СС
HSS 1122 HSS 1132 (Soz 2109)
Sociology
2
5
GED
СС
Fiz 1112
Physical Education
8
6
GED
СС
HSS 1182 (MSP 2313)
Psychology
2
7
GED
СС
IKT1115 IKT 1105
Information and Communication Technologies
5
8
GED
ДВО
DMCS1
Digital Media, Culture and Society 1
5
9
GED
ДВО
DMCS2
Digital Media, Сulturе and Society 2
5
10
GED
ДВО
FGL1
Foreign (Gеrmаn) Language 1
5
11
GED
ДВО
FGL2
Foreign (Gеrmаn) Language 2
5
12
GED
ДВО
FCL1
Foreign (Chinese) Language 1
5
13
GED
ДВО
FC3L2
Foreign (Chinese) Language 2
5
14
GED
ДВО
FKL1
Foreign (Korean) Language 1
5
15
GED
ДВО
FKL2
Foreign (Korean) Language 2
5
16
GED
СС
HSS1145 (SIK2022)
History of Kazakhstan
5
17
GED
СС
HSS 1132 MSP 2315
Political Science
2
18
GED
СС
HSS 1162 Cult 1111
Cultural Studies
2
19
GED
СС
K(R) Ya2105
Kazakh (Russian) Language 1
5
20
GED
СС
K(R) Ya2106
Kazakh (Russian) Language 2
5
21
GED
СС
Fil 2102
Philosophy
5
BD – Basic Disciplines
UC – University Component
EC – Elective Component
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
BD
UC
MATH 1115 MA1 1202
Calculus 1
5
2
BD
UC
MATH 1215 MA2
Calculus 2
5
3
BD
UC
MATH 2125 LA 1201
Linear Аlgebra
5
4
BD
UC
IT 1115 IKT 1105
Information and Communication Technologies
5
5
BD
UC
AP
Algorithmization and programming
5
6
BD
UC
IntOOP
Introduction to Object-oriented programming
5
7
BD
UC
PM
Programming microcontrollers
5
8
BD
UC
IntCySec
Introduction to Cybersecurity
5
9
BD
UC
IntAR/VR
Introduction to AR/VR
5
10
BD
UC
AI
Artificial Intelligence
5
11
BD
UC
NNDL
Neural networks and deep learning
5
12
BD
UC
DDD
Designing digital devices on PIIC
5
13
BD
UC
DE55
Digital Electronics
5
14
BD
UC
EEAE
Electrical engineering and analog electronics
5
15
BD
UC
M 2205
Mechanics
5
16
BD
UC
MPT
Molecular physics and thermodynamics
5
17
BD
UC
EaM
Electricity and magnetism
5
18
BD
UC
TM
Theoretical mechanics
5
19
BD
UC
NP56
Nuclear physics
5
20
BD
UC
RMNF
Radiation materials and nuclear fuel
4
21
BD
UC
MCNI
Modeling and calculation of nuclear installations (MCNP, SCALE)
5
22
BD
UC
NPPOM
NPP operation and maintenance
5
23
BD
UC
IOC15
Inorganic chemistry
5
24
BD
UC
UP SIS 1211
Educational Practice
2
25
BD
AK 3221
Academic Writing
5
MD – Major Disciplines
UC – University Component
EC – Elective Component
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
MD
UC
AdP
Advanced programming for engineers
5
2
MD
ЕС
DaBs
Database
5
3
MD
ЕС
DAaV
Data Analysis and Visualization
5
4
BD
UC
CS 3145 KSC 3216
Computer Networks
5
5
MD
UC
MiII3222
Research Methods and Tools
5
6
MD
ЕС
IoTT
IoT technologies
5
7
MD
UC
CybTNPI
Cybersecurity technologies in the nuclear power industry
4
8
MD
ЕС
ML
Machine Learning
5
9
MD
UC
BDNPI
Big data in the nuclear power industry
5
10
MD
ЕС
DaAPNPP
Digitalization and automation of processes at nuclear power plants (SCADA, digital twins)
5
11
MD
UC
AaQP
Atomic and quantum physics
5
12
MD
UC
CMP25
Condensed matter Physics
5
13
MD
ЕС
PoNR
Physics of nuclear reactors
5
14
MD
UC
PP 2305
Industrial Practice
4
15
МD
UC
PP 3307
Undergraduate Practice
4
16
MD
UC
PP 3306
Industrial Practice
8

Documents

Academic disciplines

Cycle of general education disciplines

Compulsory component / University’s component

Elective component

Cycle of fundamental disciplines

University’s component

Cycle of fundamental disciplines

Elective component

Cycle of major disciplines

University’s component

Cycle of major disciplines

Elective component

Additional types of learning

Contacts

Admission Committee

+7 (7172) 64-57-10
info@astanait.edu.kz

Mon-Fri 9:00 – 18:00

Astana IT University