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Smart Security Technologies

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
Bachelor in Information and Communication Technologies under the educational program 6B06302 "Smart Security Technologies"

Degree Awarded
3 years

Duration of Study

Program Structure

GED – General Education Disciplines
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
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
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

Astana IT University