H a l t o n A c a d e m y

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Halton Academy For Management and Technology Private Limited,
39/2475-B1 LR Towers, South Janatha Road, Palarivattom, Ernakulam, Kerala - 682025, India.

+91-7511-1890-01

4 Francis Street, le2 2bd, England,
United Kingdom.

hello@haltonacademy.com

MSc in Cyber Security

 Semester-wise syllabus for an MSc in Cyber Security

 

Semester 1: Foundations of Cyber Security

  1. Introduction to Cyber Security
    • Basics of cyber threats, attacks, and defense mechanisms.
    • Security policies, ethics, and legal aspects.
  2. Network Security
    • Firewalls, IDS/IPS, VPNs, secure protocols (SSL/TLS).
    • Network vulnerabilities and mitigation techniques.
  3. Cryptography & Encryption Techniques
    • Symmetric & asymmetric encryption (AES, RSA).
    • Hash functions, digital signatures, PKI.
  4. Operating System Security
    • Security in Windows, Linux, and macOS.
    • Hardening techniques, access control, malware protection.
  5. Programming for Security (Python/C/C++)
    • Scripting for security automation, exploit development basics.

Semester 2: Advanced Security Concepts

  1. Ethical Hacking & Penetration Testing
    • Footprinting, scanning, exploitation, post-exploitation.
    • Tools: Metasploit, Burp Suite, Nmap.
  2. Web Application Security
    • OWASP Top 10 vulnerabilities (SQLi, XSS, CSRF).
    • Secure coding practices.
  3. Digital Forensics & Incident Response
    • Forensic tools (FTK, Autopsy), evidence collection.
    • Incident handling & recovery.
  4. Cloud & IoT Security
    • Threats in cloud computing (AWS/Azure security).
    • IoT vulnerabilities & protection methods.
  5. Malware Analysis & Reverse Engineering
    • Static & dynamic analysis of malware.
    • Tools: IDA Pro, Ghidra, Wireshark.

Semester 3: Specialization & Research

  1. Advanced Threat Intelligence
    • APTs, zero-day exploits, threat hunting.
  2. Blockchain & Cyber Security
    • Smart contract security, decentralized threats.
  3. Mobile Security
    • Android/iOS vulnerabilities, app security testing.
  4. Elective (Choose One)
    • Biometric Security / AI in Cyber Security / 
  5. Research Methodology (Prepares for dissertation)

Semester 4: Project & Dissertation

  1. Advanced Digital Forensics
    • Memory forensics, anti-forensics techniques.
    • Tools: Volatility, Cellebrite, EnCase.
  2. AI for Cyber Security
      • Using ML for malware detection/network anomaly detection.

      3.    IndustrialControl Systems (ICS) Security

      4.    Capstone Project / Thesis

        • Real-world security problem-solving (e.g., designing a secure system, vulnerability research)
          1. Internship