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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 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 Software Engineer;
  • Machine Learning Specialist.

Learning Outcomes

  • Understanding principles of cyber ethics, digital security, and the social implications of security technologies
  • Knowledge of government regulations in the field of security and IoT
  • Understanding of Smart Security and inclusivity (technology accessibility for all populations)
  • Ability to apply international experience and standards in Smart Security
  • Knowledge of the CIA triad: confidentiality, integrity, and availability
  • Types of cyber threats: viruses, trojans, DDoS attacks, social engineering;
  • Deep understanding of data protection methods and cryptography
  • Knowledge of computer network operations and their protection
  • Understanding IoT architecture and operating principles
  • Deep understanding of IoT device protection: identification, authentication, data encryption, vulnerabilities of smart cities, smart homes, and Industrial IoT (IIoT) systems
  • Knowledge of attack detection and prevention methods for IoT devices
  • Understanding of critical infrastructure and industrial control system (ICS/SCADA) security
  • Understanding of security in industrial IoT (IIoT) and smart enterprises
  • Systematic understanding of the role of individuals and events in shaping the current situation; ability to critically assess and position actions within complex social processes considering historical factors;
  • Ability to analyze data and apply machine learning techniques for anomaly detection and threat prediction;
  • Proficiency in access management and data protection tools;
  • Knowledge of penetration testing and ethical hacking;
  • Proficiency in network security analysis tools, IoT security assurance, threat monitoring, and response.
058 – Information Security Educational

Program Group
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 CycleCourse ComponentCourse CodeCourse TitleAcademic Credits
1
GED
CC
HSS 1122 HSS 1132 (Soz 2109)
Sociology
2
2
GED
CC
Fiz 1112
Physical Education
2
3
GED
CC
HSS 1182 (MSP 2313)
Psychology
2
4
GED
CC
HSS 1115 IYa 1103
Foreign Language 1
5
5
GED
CC
HSS 1213
Foreign Language 2
5
6
GED
CC
HSS 1145 (SIK 2022)
History of Kazakhstan (State Exam))
5
7
GED
CC
HSS 1132 MSP 2315
Political Science
2
8
GED
CC
HSS 1102 Cult 1111
Cultural Studies
2
9
GED
CC
K(R) Ya2105
Kazakh (Russian) Language 1
5
10
GED
СС
K(R) Ya2106
Kazakh (Russian) Language 2
5
11
GED
CC
Fil 2102
Philosophy
5
12
GED
ЕС
Pred 2116 / FL 25 / TP 3113
Entrepreneurship / Financial Literacy / Technological Entrepreneurship
5
BD – Basic Disciplines
UC – University Component
EC – Elective Component
Course CycleCourse ComponentCourse CodeCourse TitleAcademic 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 CycleCourse ComponentCourse CodeCourse TitleAcademic 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

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