
Smart Security Technologies
6B06302 Smart Security Technologies
Profile subjects: Mathematics, Informatics.
Threshold Score (Grant): 93.
Program Objective
The educational program aims to train specialists capable of effectively identifying and preventing security threats, protecting devices and data, and developing resilient and secure solutions in the rapidly evolving world of smart technologies.
List of Specialist Positions
- Digital Forensics Specialist;
- Information Security Specialist;
- ICT Security Specialist;
- Cloud IoT Systems Engineer;
- IoT Systems Software Engineer;
- Machine Learning Specialist.
Learning Outcomes
- To be able to express ideas and arguments both in writing and orally for academic work on information technology, present in front of an audience, and defend viewpoints in the state language, English, and the language of interethnic communication, while applying academic vocabulary.
- To apply modern scientific, technical, and experimental research methods to develop advanced Smart systems and protect their components, as well as organize a project team to achieve set goals and make management decisions within the framework of Industry 4.0.
- To demonstrate knowledge of various operating systems and their security, configure and set up computer networks. Work with cloud technologies at the integration level of software, hardware, and electronic components.
- To apply various mathematical tools for system and data analysis based on statistical and probabilistic models. Also, use mathematical tools in the field of cryptography.
- To have a systematic understanding of the role of individuals and events in shaping the current situation; be able to critically evaluate and position actions in relation to complex social processes, considering historical factors.
- To apply practical skills in object-oriented programming and low-level programming, explain general algorithmic foundations of software development, and develop various applications, including mobile applications for Smart devices and microcontroller programming. Be able to use tools for modeling Smart technology components in AR/VR.
- To possess skills in information security and ethical hacking. Use tools for collecting operational data on threats and information leaks. Apply methods to protect IoT devices for Smart and intelligent systems, as well as process and secure biometric data.
- To be able to work with databases and Big Data, analyze and develop systems in areas related to cloud computing, artificial intelligence and machine learning, as well as the Internet of Things and cybersecurity.
058 – Information SecurityEducational
Group of educational programs
Group of educational programs
Bachelor in Information and Communication Technologies under the educational program 6B06302 "Smart Security Technologies"
Degree Awarded
Degree Awarded
3 years
Duration of Study
Duration of Study
Program Structure
GED – General Education Disciplines
CC – Compulsory Component
EC– Elective Component
CC – Compulsory Component
EC– Elective Component
| № | Course Cycle | Course Component | Course Code | Course Title | Academic Credits |
|---|---|---|---|---|---|
| 1 | GED | CC | HSS 1122 HSS 1132 (Soz 2109) | Sociology | 2 |
| 2 | GED | CC | Fiz 1112 | Physical Education | 2 |
| 3 | GED | CC | IT1115 IKT 1105 | Information and Communication Technologies | 5 |
| 4 | GED | CC | Fiz 1113 | Physical Education | 2 |
| 5 | GED | CC | HSS 1182 (MSP 2313) | Psychology | 2 |
| 6 | GED | CC | HSS 1115 IYa 1103 | Foreign Language 1 | 5 |
| 7 | GED | CC | HSS 1213 | Foreign Language 2 | 5 |
| 8 | GED | CC | HSS 1145 (SIK 2022) | History of Kazakhstan (State Exam)) | 5 |
| 9 | GED | CC | Fiz 1114 | Physical Education | 2 |
| 10 | GED | CC | HSS 1132 MSP 2315 | Political Science | 2 |
| 11 | GED | CC | HSS 1102 Cult 1111 | Cultural Studies | 2 |
| 12 | GED | CC | K(R) Ya2105 | Kazakh (Russian) Language 1 | 5 |
| 13 | GED | СС | K(R) Ya2106 | Kazakh (Russian) Language 2 | 5 |
| 14 | GED | CC | Fil 2102 | Philosophy | 5 |
| 15 | GED | ЕС | Pred 2116 / FL 25 / TP 3113 | Entrepreneurship / Financial Literacy / Technological Entrepreneurship | 5 |
| 16 | GED | CC | Fiz 2116 | Physical Education | 2 |
BD – Basic Disciplines
UC – University Component
EC – Elective Component
UC – University Component
EC – Elective Component
| № | Course Cycle | Course Component | Course Code | Course Title | Academic Credits |
|---|---|---|---|---|---|
| 1 | BD | UC | NONE | Introduction to Programming | 5 |
| 2 | BD | UC | MATH 2145 DM 2207 | Discretemathematics | 5 |
| 3 | BD | UC | ISSS | Introduction to Smart Security | 6 |
| 4 | BD | UC | OOP | Object - Oriented Programming | 5 |
| 5 | BD | UC | MATH 1115 MA1 1202 | Calculus 1 | 5 |
| 6 | BD | UC | HLAB 1201 | HackingLab | 6 |
| 7 | BD | UC | UP SIS 1211 | Educational Practice | 1 |
| 8 | BD | UC | MATH 1215 MA2 1203 | Calculus 2 | 5 |
| 9 | BD | UC | MATH 2125 LA 1201 | Linear Algebra | 5 |
| 10 | BD | UC | ADS | Algorithms and Data Structures | 5 |
| 11 | BD | UC | OS 2207 | Operating Systems | 5 |
| 12 | BD | UC | PLLL | Programming in low - level languages | 5 |
| 13 | BD | UC | Cry 3310 | Cryptography | 5 |
| 14 | BD | UC | PPloTD | Python programmingfor IoT devices | 5 |
| 15 | BD | UC | ViS 2212 | Probability and Statistics | 5 |
| 16 | BD | UC | OSS 2217 | Operating Systems Security | 4 |
| 17 | BD | UC | AK 3221 | AcademicWriting | 5 |
| 18 | BD | UC | IIoTCT | Integration of IoT and cloud technologies | 5 |
| 19 | BD | UC | MTA | Mobile technologies and applications | 6 |
| 20 | BD | UC | BDST | Big data for Smart Technologies | — |
| 21 | BD | UC | AR/VR SS | AR/VR for Smartsystems | 5 |
| 22 | BD | UC | DBMS | Database Management Systems | 5 |
MD – Major Disciplines
UC – University Component
EC – Elective Component
UC – University Component
EC – Elective Component
| № | Course Cycle | Course Component | Course Code | Course Title | Academic Credits |
|---|---|---|---|---|---|
| 1 | MD | UC | CS 3145 KSC 3216 | Computer Networks | 5 |
| 2 | MD | UC | PP 2305 | Industrial Practice | 5 |
| 3 | MD | UC | IDPvS | Intrusion detection and prevention systems | 5 |
| 4 | MD | UC | IoTS | IoT security | 6 |
| 5 | MD | UC | MiII 3222 | Research Methods and Tools | 5 |
| 6 | MD | UC | AIA | AI Algorithms | 4 |
| 7 | MD | UC | PP 3306 | Undergraduate Practice | 4 |
| 8 | MD | ЕС | IntML | Introduction to Machine Learning | 6 |
| 9 | MD | ЕС | E | Electronics | 4 |
| 10 | MD | ЕС | CySecIS | Cybersecurity for Intelligent systems | 5 |
| 11 | MD | ЕС | PPBD | Processing and protection of biometric data | 6 |
| 12 | MD | ЕС | SCSM / DIoT | Smart City security Management | 5 |
| 13 | Qualification | — | — | Writing Diploma Work (Project) and Defence / Comprehensive Examination | 5 |
Documents
Course Curriculum
Cycle of general education disciplines
Compulsory component / University’s component
Cycle of general education disciplines
Elective component
Cycle of fundamental disciplines
University’s component
Cycle of major disciplines
University’s component
Cycle of major disciplines
Elective component

Contacts
Admission Committee
8(7172) 64-57-10
info@astanait.edu.kz
Mon-Fri 9:00 – 18:00