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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
1GEDCCHSS 1122 HSS 1132 (Soz 2109)Sociology 2
2GEDCCFiz 1112Physical Education 2
3GEDCCHSS 1182 (MSP 2313)Psychology 2
4GEDCCHSS 1115 IYa 1103Foreign Language 1 5
5GEDCCHSS 1213 Foreign Language 25
6GEDCCHSS 1145 (SIK 2022)History of Kazakhstan (State Exam))5
7GEDCCHSS 1132 MSP 2315Political Science 2
8GEDCCHSS 1102 Cult 1111Cultural Studies 2
9GED CCK(R) Ya2105Kazakh (Russian) Language 15
10GEDССK(R) Ya2106Kazakh (Russian) Language 25
11GEDCCFil 2102Philosophy5
12GEDЕСPred 2116 / FL 25 / TP 3113Entrepreneurship / Financial Literacy / Technological Entrepreneurship 5
BD – Basic Disciplines
UC – University Component
EC – Elective Component
Course CycleCourse ComponentCourse CodeCourse TitleAcademic Credits
1BDUCNONEIntroduction to Programming5
2BDUCMATH 2145 DM 2207Discretemathematics5
3BDUCISSSIntroduction to Smart Security6
4BDUCOOPObject - Oriented Programming5
5BDUCMATH 1115 MA1 1202Calculus 15
6BDUCHLAB 1201HackingLab6
7BDUCUP SIS 1211Educational Practice1
8BDUCMATH 1215 MA2 1203Calculus 25
9BDUCMATH 2125 LA 1201Linear Algebra5
10BDUCADSAlgorithms and Data Structures5
11BDUCOS 2207Operating Systems5
12BDUCPLLLProgramming in low - level languages5
13BDUCCry 3310Cryptography5
14BDUCPPloTDPython programmingfor IoT devices5
15BDUCViS 2212Probability and Statistics5
16BDUCOSS 2217Operating Systems Security4
17BDUCAK 3221AcademicWriting5
18BDUCIIoTCTIntegration of IoT and cloud technologies5
19BDUCMTAMobile technologies and applications6
20BDUCBDSTBig data for Smart Technologies
21BDUCAR/VR SSAR/VR for Smartsystems5
22BDUCDBMSDatabase Management Systems5
MD – Major Disciplines
UC – University Component
EC – Elective Component
Course CycleCourse ComponentCourse CodeCourse TitleAcademic Credits
1MDUCCS 3145 KSC 3216Computer Networks5
2MDUCPP 2305Industrial Practice5
3MDUCIDPvSIntrusion detection and prevention systems5
4MDUCIoTSIoT security6
5MDUCMiII 3222Research Methods and Tools5
6MDUCAIAAI Algorithms4
7MDUCPP 3306Undergraduate Practice4
8MDЕСIntMLIntroduction to Machine Learning6
9MDЕСEElectronics4
10MDЕСCySecISCybersecurity for Intelligent systems5
11MDЕСPPBDProcessing and protection of biometric data6
12MDЕСSCSM / DIoTSmart City security Management5
13Qualification 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