Master’s in Cyber Security & Forensic
February 26, 2025 2025-08-19 12:51Master’s in Cyber Security & Forensic
Masters in Cyber Security and Digital Forensics
In a rapidly associated world, cyber security has become an important priority. Our comprehensive cyber security program is designed to provide you with the necessary knowledge and practical skills required to deal with the challenges of securing the digital environment. Whether you are just starting or wanting to expand your expertise, this program includes moral hacking, digital forensic, event reaction and major areas such as security regions. With one hand, through the real-world approach, you will engage with industry-standard equipment and functioning, ensuring that you are ready to develop cyber threats.
The intensive course mixes the theoretical learning with practical experience, allowing you to develop the problem-solution skills required for cyber security roles. You will achieve proficiency in the danger, vulnerability evaluation and event management. By the end of the program, you will be equipped to pursue a high-desired cyber security career and confidently protect digital infrastructure. Join us and become a skilled cyber security professional to create influence in today's digital world.
The intensive course mixes the theoretical learning with practical experience, allowing you to develop the problem-solution skills required for cyber security roles. You will achieve proficiency in the danger, vulnerability evaluation and event management. By the end of the program, you will be equipped to pursue a high-desired cyber security career and confidently protect digital infrastructure. Join us and become a skilled cyber security professional to create influence in today's digital world.
Advanced Cybersecurity with Digital Investigation Skills
Weekly sessions with industry professionals
Dedicated Learning Management Team
900 hours of hands-on learning experience
Over 320 hours live sessions spread across 13 months
Total No of Weeks 52
Duration of Course: 900 Hours
Pre-Learning Material: 70 Hours
Offline/Online Live Training: 380 Hours
Video Recordings of Lectures: 320 Hours
Capstone Project Discussion & Doubt Clearing Session: 30 Hours
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Weekly sessions with industry professionals
Dedicated Learning Management Team
900 hours of hands-on learning experience
Over 380 hours of live sessions spread across 13 months
Total No of Weeks 52
Duration of Course: 900 Hours
Pre-Learning Material: 70 Hours
Offline/Online Live Training: 380 Hours
Video Recordings of Lectures: 380 Hours
Capstone Project Discussion & Doubt Clearing Session: 30 Hours
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Why Join Master's in Cyber Security & Forensic ?
Master's in Cyber Security & Forensic Overview
Our cyber security program is a broad, hand learning experience that is designed to equip you with the skills and knowledge required to flourish in the sometimes-developed area of ​​cyber security. The course includes a wide range of essential subjects including moral hacking, digital forensic, event reaction and security regime. Through the study of practical simulation and real-world cases, you will gain experience with industry-standard devices and techniques, which will prepare you to deal with modern cyber threats effectively.
Whether you are an early or experienced professional to enhance your skills, it provides a structured approach to learning the program that ensures both depth and width in cyber security concepts. You will be directed through fundamental concepts and advanced functioning, which gives you the necessary expertise to detect, prevent and respond to safety events. By the end of the program, you will be well prepared to make a career in cyber security and make a meaningful contribution to the conservation of digital assets.
Enroll Now & Save Up To
60%!
Batch Schedule
| Batch | Batch Type |
|---|---|
| Online Live Instructor Led Session | Full-Time |
| Online Live Instructor Led Session | Part-Time |
Regional Timings
| Region | Time |
|---|---|
| IST (India Standard Time) | 09:00 PM – 12:00 AM |
| Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM – 09:30 PM |
| UAE / Oman | 07:30 PM – 09:00 PM |
Talk to our Corporate training advisor
Master's in Cyber Security & Forensic Objectives
The program is designed to provide extensive knowledge and practical experience in cyber security, moral hacking and information protection. It covers major topics such as network safety, danger management and vulnerability evaluation, while also in advanced areas such as penetration testing, malware analysis and digital forensic. Students will learn the essential tools and techniques used by cyber security professionals, including vulnerability scanning, encryption methods and event reaction strategies. With hands-on labs, case studies and real-world simulation, the program equips participants with the skills required to assess and reduce security risks in various environments. This is ideal for individuals who are looking to start or pursue their career in cyber security, IT security or moral hacking.
Why Learn Master's in Cyber Security & Forensic ?
Program Advantages
- Industry-driven course ensuring up-to-date, in-demand knowledge and skills.
- Learn through real-world scenarios, simulations, and live projects to tackle cybersecurity challenges.
- Learn from certified professionals offering insights beyond theoretical knowledge.
- Covering Ethical Hacking, Penetration Testing, Digital Forensics, and more.
- Access career services like mentorship, resume building, and job placement assistance.
- Flexible online learning accessible to both professionals and fresh graduates.
- Access course materials anytime, learn at your own pace.
- Gain hands-on experience with tools like Splunk, Nessus, Burp Suite, and Metasploit.
- Job-ready focus with practical skills and industry certifications for competitive cybersecurity roles.
- Earn a globally recognized certification to boost credibility and career prospects.
Master's in Cyber Security & Forensic Certification
Master's in Cyber Security & Forensic Learning Path/Curriculum
Day 1: What is Hacking?, Computer Security Threats, Goals of Ethical Hacking, Skills and Tools required for Ethical Hackers, Process of Ethical Hacking, Process of Ethical Hacking - Demonstration Part 1,Process of Ethical Hacking - Demonstration Part 2
Day 2: Information Gathering Concepts, Foot printing, Reconnaissance, Active Passive Scanning
Day 3: CIA (Confidentiality, Integrity & Availability) Threat, Vulnerabilities, Threat Actor, Risk etc definitions & concept. Advanced Cyber Security - Threats and Governance, What are Threats?, Types of threats (spoofing, tampering, repudiation, information breach, DOS, elevation of privilege),GitHub DDos Attack,
Day 4: Types of attack(DOS, Phishing, Ransomware)
Day 5: Introduction and importance to information security, elements of information security (purpose, audience and scope, security objective-CIA, Authority and access control, data classification (level 1-5), support and operation, security awareness, responsibilities rights and duty. Principle of Information security (Confidentiality, Integrity, Availability),
Day 6: Introduction to data security, types of data security (Encryption, Data Erasure, Data Masking, Data Resiliency), data security strategy (Physical security of servers and user devices, Access management and controls, Backups).
Day 7: Introduction to Web Applications: Basics of Web Applications, HTTP/HTTPS, Cookies, Sessions, Authentication Mechanisms, Overview of OWASP Top 10
Day 8: Setting Up the Environment: Installing DVWA, WebGoat, and Burp Suite, Introduction to Common Testing Platforms (OWASP Juice Shop, HackTheBox Web Challenges)
Day 9: Information Gathering: Understanding the Target Application, Enumerating Directories and Files (Dirbuster, Gobuster), Discovering Endpoints, Identifying Technologies (Wappalyzer, WhatWeb)
Day 10: Authentication and Session Management: Testing Login Mechanisms, Brute Forcing Credentials (Hydra), Exploiting Weak Sessions, Hands-On with DVWA
Day 11: Input Validation Attacks I: Cross-Site Scripting (XSS) – Reflected and Stored, Input Sanitization Issues, Demonstration on WebGoat and OWASP Juice Shop
Day 12: Input Validation Attacks II: SQL Injection – Error-Based, Blind, and Time-Based, Exploiting SQL Vulnerabilities Using Tools (sqlmap), Hands-On Challenges
Day 13: File Upload and Path Traversal Attacks: Exploiting Unsecured File Uploads, Testing for Path Traversal, Uploading Web Shells, Hands-On with DVWA
Day 14: Business Logic Vulnerabilities and Access Control: Testing Business Logic Flaws, Horizontal and Vertical Privilege Escalation, Bypassing Access Controls
Day 15: Hands-On Exploitation on Real Scenarios: Solving Web Application Challenges from HackTheBox, Pentesting Simulated Applications on OWASP Juice Shop and WebGoat
Day 16: Reporting and Mitigation Strategies: Writing Professional Reports, Explaining Vulnerabilities and Risks, Recommendations for Mitigation, Case Study Discussion
Day 17: Remediation Planning, Encryption, What is Encryption?, Prerequisites for Encryption, How does Encryption work?, Vulnerability Assessment
Day 18: What is Decryption? , Encryption Vs Decryption, Types of Encryption, Encryption Algorithms and Protocols, Web application architecture, Web application attacks, Web server architecture, Web server attacks
Day 19: Introduction to information security controls, types of controls (organizational control, people control, physical control, technological control), preventive, corrective and digestive control,
Day 20: OSI concept, Protocols, ARP, SMTP, ICMP, TCP, 3 way Handshaking,
Day 21: Security Market Outlook, Computer Networks - Architecture, Layered architecture, Open Systems Interconnect (OSI) Model, Transmission Control Protocol/Internet Protocol (TCP/IP), Network Scanning, Enumeration, Common Network Threats/Attacks, Packet Inspection,
Day 22: Deep Packet Inspection(Intrusions detection system and Intrusion Prevention, System), IP Security, ICMP attacks.
Day 23: TCP and UDP Security. Attacking Availability: Denial-of-Service, attacks, Distributed DOS attacks, SSL/TLS Data/Application Security: confidentiality, Integrity, availability, authorization, authentication, identification, non-repudiation, types of control (preventive, detective, corrective, deterrent, recovery, compensating), access control, Security Vulnerability Management
Day 24: Network devices (Hub, Switch, Router, Bridge, Gateway, Modem, Repeater, Access Point), Configuration of network devices, Network configuration tool, Firewall, Firewall configuration,
Day 25: Introduction to Network VAPT: Understanding VAPT, Methodology (Information Gathering, Scanning, Exploitation, Reporting), Setting Up Lab Environment, Basics of VulnHub
Day 26: Information Gathering: Passive Reconnaissance Techniques, Active Scanning with Nmap, Enumerating Services, Identifying Open Ports, Vulnerability Discovery
Day 27: Exploitation Techniques I: Exploiting Misconfigured Services (e.g., FTP, SMB), Privilege Escalation Basics, Solving a Beginner VulnHub Machine
Day 28: Exploitation Techniques II: Attacking Web Servers and Applications (SQL Injection, Command Injection), Exploiting Vulnerable Web Servers from VulnHub
Day 29: Simulating Real-Life Attacks: Simulating Attacks Using Tools (Metasploit, Burp Suite), Exploiting Common Weaknesses (Default Credentials, Outdated Software)
Day 30: Post-Exploitation Techniques: Maintaining Access, Dumping Credentials, Lateral Movement, Hands-On with Intermediate-Level Machines from VulnHub
Day 31: Case Study and Reporting: End-to-End VAPT Simulation on a Complex VulnHub Machine, Documentation and Reporting Vulnerabilities, Recommendations for Mitigation
Day 32: Introduction to ISO Standards: Overview of ISO 27001, Key Components of ISMS (Information Security Management System), Relationship with ISO 27002, Objectives of Implementing ISO Standards
Day 33: Security Misconfiguration, Active and Passive Attack, Cyber Security Regulations, Roles of International Law, the state and Private Sector in Cyberspace, Cyber Security Standards. The INDIAN Cyberspace, National Cyber Security Policy 2013. Elements of an information security policy (Purpose, scope, Objective, authorization and access control, classification, data support operation, Security standard and guideline(COSO, COBIT,ITIL, NIST, NSA, ISO, IT act, Copyright, Patent law, IPR), Laws of Indian Govt.,
Day 34: Cyber Security Landscape Cyber security Policy Management , Cyber Security Policy Ecosystem, Cyber Security Policy ,Management Design, Cyber Security FrameWorks, ISMS Environment, Frameworks, ISO27001 Standard
Day 35: Compliance and Audits: Importance of Regulatory Compliance, Internal and External Audits, Audit Phases (Planning, Execution, Reporting), Preparing for ISO 27001 Certification
Day 36: Governance, Risk, and Compliance (GRC): Introduction to GRC Frameworks, Alignment with Business Objectives, Benefits of GRC Implementation, Case Study on Effective GRC Practices
Day 37: Introduction to Risk Assessment, Identification of Risk assessment, Risk assessment model (Identification, Assessment, Mitigation, Preventation), role and need of risk assessment
Day 38: Hierarchy of Information security (Board of Director, CIO, CISO, CEO, System Architect, System Engineer, Security Director, System Admin, Security Analyst, IS Auditor, DB Admin), Importance of information security policy, element of information security (purpose, audience, CIA, encryption policy, data backup policy,
Day 39: Introduction to SOC and its Importance: Overview of SOC, Types of SOCs (In-House, Managed, Virtual), SOC Architecture (SIEM, EDR, Threat Intelligence Tools), Key Roles in SOC (Analyst, Manager, Engineer), SOC’s Role in Cyber Defense
Day 40: Indicators of Compromise (IOCs) and Indicators of Attack (IOAs): Differences Between IOCs and IOAs, Identifying IOCs (File Hashes, IPs, Domains, Logs), Understanding IOAs (Attack Patterns, Suspicious Behaviors), Real-World Examples
Day 41: Tactics, Techniques, and Procedures (TTPs): Introduction to TTPs, Frameworks (MITRE ATT&CK), Correlating TTPs with IOCs and IOAs, Case Study: Mapping an Attack Lifecycle Using TTPs, Practical Exercise with Sample Data
Day 42: Incidents, types of Incidents, Impact of incidents, Information (alert,logs, network flow), Phases of incident handling, incident response life cycle
Day 43: Firewall, why firewall, DMZ, troubleshooting Cisco IOS Firewall, troubleshooting routers, , anti virus and anti spam ware, incident response process (identification, recording, response, communication, containment, classification, investigation),
Day 44: Unauthorized Access Incidents, Traffic filtering( NAT-Network Address Translation, VPN- Virtual Private Network
Day 45: IDP-Intrusion Detection & Prevention, CISCO IOS Firewall IDS Configuration Initializing Cisco IOS Firewall IDS , Initializing the Post Office, Configuring and Applying Audit Rules, Verifying the Configuration),
Day 46: IPS configuration, IPS Tuning, SNMP Configuration, Configuration of MoD Security
Day 47: Patch Management (windows Server Update Services)
Day 48: Introduction to SIEM and Splunk: Understanding SIEM, Key Components, Benefits, Overview of Splunk Architecture, Setting up Splunk Environment (Installation and Configuration)
Day 49: Data Onboarding: Collecting logs from different sources (Web Server, Application Logs, System Logs), Parsing and Indexing, Exploring Splunk's Data Inputs and Forwarders
Day 50: Splunk Search and Analysis: Writing SPL Queries, Using Search, Stats, and Visualization Tools, Identifying Anomalies and Patterns in Logs, Hands-on Analysis of Security Logs
Day 51: Real-world Use Cases: Security Incident Detection (Failed Login Attempts, Brute Force), Dashboard Creation, Alerts and Reporting, Capstone Activity: Analyzing a Security Breach Scenario Using Splunk
Day 52: Configuration Audit and System Hardening: Introduction to Secure Configurations, Using Nessus for Vulnerability and Configuration Scans, Hands-on Hardening with HardeningKitty
Day 53: Introduction to Incident Response and Cyber Forensics: Incident Response Lifecycle, Key Components of Incident Response, Role of Cyber Forensics in IR, Overview of Tools (Cyber Triage, Autopsy, FTK Imager, Rkhunter)
Day 54: Memory and Disk Forensics: Capturing Memory Dumps, Imaging Disks with FTK Imager, Basics of Artifact Analysis, Introduction to Autopsy for Disk Analysis
Day 55: Rootkit Detection and Analysis: Using Rkhunter for Rootkit Detection, Investigating Suspicious Activity on Linux Systems, Hands-on with Cyber Triage for Live System Analysis
Day 56: Case Study and Hands-On Exercise: Investigating a Simulated Cyber Breach, End-to-End Incident Response Workflow, Evidence Collection, Analyzing Logs and Forensic Artifacts, Reporting Findings
Day 1: Introduction to Digital Forensics: Definition, history, scope, and key areas of application, Types of Digital Forensics: Computer forensics, Mobile forensics, Network forensics, Memory forensics, & Cloud forensics
Day 2: Forensic Investigation Lifecycle and Roles: Phases of forensic investigation, roles and responsibilities of a forensic investigator, and tools overview.
Day 3: Principles of Evidence Handling: Best practices, importance of evidence integrity, contamination prevention, and documentation.
Day 4: Imaging Techniques - Part 1: Introduction to disk imaging concepts, bit-by-bit imaging, and types of forensic imaging. Part 2: Practical use of imaging tools and steps to create and verify a forensic image.
Day 5: Chain of Custody and Legal Considerations: Importance of chain of custody, documentation practices, admissibility in court, and hash verification for evidence integrity using MD5 and SHA-256.
Day 6: Overview of Cyber Laws: Introduction to cyber laws, importance of data privacy laws, and key global frameworks (e.g., GDPR, HIPAA). Indian cyber laws: IT Act, 2000 (key sections, amendments).
Day 7: Digital Evidence Regulations and Case Studies: Admissibility of digital evidence, legal considerations, and analysis of notable Indian and global cybercrime cases.
Day 8: Evidence Types: Overview of physical, digital, and biological evidence, classification of evidence (direct, indirect, circumstantial), and their relevance in investigations.
Day 9: Forensic Best Practices: Importance of documentation, chain of custody, differences between digital and traditional forensics, and integration of both disciplines in investigations.
Day 10: Introduction to Windows File Systems: Overview of Windows file systems (FAT, NTFS, exFAT), structure, file allocation tables, and their relevance in forensics. User Activity Analysis: Techniques to analyze user activity (recent files, run commands, etc.), user profiles, and traces left in the Windows OS. Tools: FTK Imager (for disk imaging), Cyber Triage (for initial system analysis).
Day 11: Registry Forensics: Understanding the Windows Registry, key locations, user activity tracking, evidence recovery from the Registry. Tools: FTK Imager (for registry extraction), Belkasoft RAM Capturer (for capturing live memory to analyze registry keys in RAM).
Day 12: Event Logs: Analyzing Windows Event Logs (Security, Application, System), event log sources, and event timeline construction. Tools: Cyber Triage (for parsing and analyzing event logs), Belkasoft Evidence Center (for advanced event log analysis).
Day 13: Deleted File Recovery: Methods to recover deleted files, understanding NTFS file slack, unallocated space, and using tools (e.g., FTK Imager, EnCase) to recover files. Tools: FTK Imager (for carving deleted files), Belkasoft RAM Capturer (for recovering volatile data).
Day 14: Application Traces & Hands-on Lab: Investigating traces left by applications (browser history, chat logs, application logs) and a practical lab session analyzing Windows file system images. Tools: Cyber Triage (for analyzing application traces), FTK Imager (for application artifact recovery), Belkasoft Evidence Center (for advanced application analysis).
Day 15: Introduction to Linux File Systems (ext3/ext4): Overview of ext3/ext4 file systems, inode structure, and journaling. Forensic relevance for recovering deleted files. File System Structure: Analyzing ext3/ext4 file systems, inodes, and block structure. Recovering orphaned and deleted files. Tools: Guymager(disk imaging), Sleuth Kit, TestDisk.
Day 16: Filesystem Metadata & Evidence Recovery: Exploring inode metadata (timestamps, permissions) and recovering deleted files. Tools: Extundelete, Scalpel, Guymager.
Day 17: Analyzing Linux System Logs: Examining logs (auth.log, syslog) to track user activity, logins, and suspicious actions. SSH Logs & Cron Jobs: Investigating SSH logs for unauthorized access and analyzing cron jobs for suspicious activity. Tools: Syslog, journalctl, rkhunter, Guymager.
Day 18: Linux Anomaly Detection & Scripts: Writing bash scripts to detect anomalies, such as file modifications or unauthorized processes. Tools: Lsof, Netstat, Guymager.
Day 19: Web Server Logs: Analyzing web server logs (Apache/Nginx) and correlating with file system artifacts. Network forensics for abnormal file system activities. Tools: Wireshark, Guymager, Apache/Nginx logs.
Day 20: Introduction to Memory Forensics & Capture: Overview of memory forensics, tools for capturing memory (e.g., WinPMEM, DumpIt), and its importance in investigations. Topics: Memory dump acquisition, types of memory analysis. Tools: WinPMEM, FTKImager
Day 21: Analyzing Memory Dumps & Processes: Analyzing memory dumps to identify running processes, system activity, and malicious artifacts. Topics: Process listing, investigating system events in memory. Tools: Volatility.
Day 22: Detecting Malware & Recovering Encryption Keys: Using memory forensics to detect malware, analyze rootkits, and recover encryption keys from memory. Topics: Malware detection techniques, tracing encryption keys and passwords. Tools: Volatility, Kaspersky Memory Dump Analyzer.
Day 23: Network Forensics & Traffic Analysis: Overview of network forensics, using Wireshark and tcpdump for packet capture. Analyzing traffic for suspicious activity, patterns, and payloads. Tools: Wireshark, tcpdump.
Day 24: Intrusion Detection: Setting up and configuring Snort for network intrusion detection. Understanding how to use signatures and custom rules for identifying malicious traffic.
Day 25: Command-and-Control (C2) Detection: Identifying Command-and-Control communications through network analysis. Detection of C2 traffic patterns and common protocols used by malware.
Day 26: Network Timeline Reconstruction: Reconstructing network activity to establish a timeline of an attack. Using Splunk for log aggregation, analysis, and timeline creation.
Day 27: Setting Up Splunk & Analyzing Logs: Installing and configuring Splunk to ingest network logs for analysis. Using Splunk for network forensic analysis and visualizing traffic data. Tools: Splunk, Syslog servers, network logs.
Day 28: Introduction to Log Types & Log Collection: Overview of different types of logs (firewall, server, endpoint), their significance in cybersecurity investigations. Understanding how to collect logs from various sources.
Day 29: Log Aggregation & Centralization: Methods and tools for aggregating logs from different systems (firewall, servers, endpoints) into a central repository. Using Syslog servers and log shippers (e.g., Filebeat, Fluentd).
Day 30: Log Correlation & Parsing: Introduction to log correlation techniques for identifying patterns across multiple logs. Parsing and normalizing log data for easier analysis. Use of tools like Elastic Stack (ELK) for correlation.
Day 31: Anomaly Detection in Logs: Techniques for detecting anomalies in log data using both manual and automated methods. Introduction to anomaly detection algorithms, and the use of Splunk and ELK for detecting abnormal activities.
Day 32: Introduction to Malware Analysis & Static Analysis Overview of malware types, malware lifecycle, and basic principles of static analysis. Introduction to tools like PEiD, IDA Pro, and Binwalk.
Day 33: Static Analysis: File Inspection and Signature Analysis: Detailed inspection of binary files, hash analysis, and detecting packers and obfuscation techniques. Using tools like OllyDbg and Ghidra.
Day 34: Dynamic Analysis: Behavioral Analysis in a Sandbox: Setting up a controlled environment to observe malware behavior. Deobfuscation Techniques: Reversing obfuscated malware using unpackers and deobfuscation tools.
Day 35: Reverse Engineering Malware: Understanding how malware operates by reverse engineering executables. Tools like OllyDbg, Immunity Debugger, and Ghidra for deeper analysis.
Day 36: Analyzing Indicators of Compromise (IOCs): How to identify IOCs from both static and dynamic analysis. Creating IOCs from file hashes, IPs, domain names, and registry keys. Use of tools like YARA and MISP for IOC generation and sharing.
Day 37: Overview of threat hunting, key concepts, and role in cybersecurity. Types of threat hunting, Threat intelligence, MITRE ATT&CK framework, and integrating hunting into the incident response lifecycle
Day 38: SIEM tools, EDR solutions, behavioral analytics, and script-based hunting (PowerShell/Bash), Identifying and analyzing threats in cloud platforms (AWS, Azure, GCP). Key challenges and mitigation strategies.
Day 39: Incident Response Overview: Definitions, objectives, and importance of IR in cybersecurity. Overview of the 6 IR phases: Preparation, Identification, Containment, Eradication, Recovery, and Lessons Learned.
Day 40: Preparation Phase: Setting up incident response policies, playbooks, and tools. Key elements like communication plans, response teams, and proactive measures. Introduction to IR tools like SIEM, SOAR, and ticketing systems.
Day 41: Identification and Triage: Recognizing incidents through monitoring, logs, and alerts. Categorizing and prioritizing incidents based on severity. Hands-on practice using Splunk/ELK to analyze alerts and logs for threat identification.
Day 42: Containment, Root Cause Analysis (RCA), and Eradication – Immediate damage control, temporary vs. long-term containment. Importance of RCA in understanding the attack origin and vector, RCA with Cyber Triage, malware removal, patching, and hardening.
Day 43: Recovery and Lessons Learned: Steps to restore systems and validate their integrity. Developing a "lessons learned" report to improve future responses. Role of forensic investigations in refining IR processes.
Day 44: Introduction to Forensic Reporting – Objectives, importance of documentation, and key report elements: Executive summary, methodology, findings, and recommendations.
Day 45: Structuring Reports for Different Audiences – Writing for legal, managerial, and technical audiences; ensuring clarity, avoiding jargon, and maintaining accuracy.
Day 46: Tools & Hands-on Practice – Overview of FTK, Autopsy, reporting templates; automating reports, analyzing sample reports, and hands-on report writing.
Master's in Cyber Security & Forensic Skills Covered
Network Security
Ethical Hacking
Cryptography & Encryption
Incident Response & Digital Forensics
Security Operations & SIEM
Cloud Security
Identity & Access Management (IAM)
Cyber Threat Intelligence (CTI)
Disk & Memory Forensics
Malware Analysis
Log Analysis & SIEM Investigation
Email & Social Media Forensics
Mobile & IoT Forensics
Risk Management & Compliance
Cyber Laws & Compliance
Security Frameworks & Standards
Security Governance
Penetration Testing
Risk Management
Chain of Custody Management (Handling and securing digital evidence)
Master's in Cyber Security & Forensic Tools Covered
Masters in Cyber Security and Digital Forensics Benefits
Projects that You will Work On
1. Wi-Fi Network Penetration Testing
Objective: Assess the security of Wi-Fi networks by identifying and exploiting potential vulnerabilities.
Tools: Aircrack-ng, Wireshark, Kali Linux
Learning Outcomes: Understand wireless encryption protocols, perform packet sniffing, and secure wireless networks.
Resource: GUVI Blog on Ethical Hacking Projects
2. SQL Injection Testing
Objective: Detect and exploit SQL injection vulnerabilities in web applications.
Tools: SQLmap, Burp Suite, OWASP Juice Shop
Learning Outcomes: Learn SQL injection techniques and implement best practices to secure apps.
Resource: GUVI Blog on Ethical Hacking Projects
3. Creating a Keylogger
Objective: Develop a keylogger to understand malicious software operation.
Tools: Python, Pynput library
Learning Outcomes: Build malware for educational purposes and learn detection techniques.
Resource: GUVI Blog on Ethical Hacking Projects
4. Network Sniffing with Wireshark
Objective: Capture and analyze network traffic for vulnerabilities.
Tools: Wireshark
Learning Outcomes: Learn protocol analysis and identify suspicious activities.
Resource: GUVI Blog on Ethical Hacking Projects
5. Penetration Testing on a Virtual Machine
Objective: Simulate attacks in a virtual environment.
Tools: Kali Linux, Metasploit, VirtualBox/VMware
Learning Outcomes: Hands-on experience with testing tools and documenting findings.
Resource: GUVI Blog on Ethical Hacking Projects
6. Creating a Simple Firewall
Objective: Develop a basic firewall to control network traffic.
Tools: Python, Scapy library
Learning Outcomes: Filter network traffic and prevent common attacks.
Resource: GUVI Blog on Ethical Hacking Projects
7. Social Engineering Simulation
Objective: Simulate social engineering attacks and develop user education strategies.
Tools: Social-Engineer Toolkit (SET)
Learning Outcomes: Craft phishing scenarios and understand human vulnerabilities.
Resource: GUVI Blog on Ethical Hacking Projects
8. IoT Security Analysis
Objective: Secure IoT devices by identifying vulnerabilities.
Tools: Shodan, Wireshark, Firmware tools
Learning Outcomes: Secure firmware and understand IoT attack surfaces.
Resource: GUVI Blog on Ethical Hacking Projects
9. Intrusion Detection System (IDS)
Objective: Monitor traffic and logs to detect cyber threats.
Tools: Snort, Suricata, Security Onion
Learning Outcomes: Network log analysis and real-time threat detection.
Resource: Internshala Trainings Blog
10. Blockchain Security
Objective: Develop secure blockchain apps and smart contracts.
Tools: Ethereum, Solidity, OpenZeppelin
Learning Outcomes: Secure DApps and implement safe consensus mechanisms.
Resource: Internshala Trainings Blog
Salary Expectation after completion of the course
United States (USD)
Entry-Level: $50,000 - $80,000
Mid-Level: $85,000 - $130,000
Senior-Level: $120,000 - $250,000
Entry-Level: $50,000 - $80,000
Mid-Level: $85,000 - $130,000
Senior-Level: $120,000 - $250,000
India (INR)
Entry-Level: ₹4 LPA - ₹8 LPA
Mid-Level: ₹10 LPA - ₹25 LPA
Senior-Level: ₹25 LPA - ₹60+ LPA
Entry-Level: ₹4 LPA - ₹8 LPA
Mid-Level: ₹10 LPA - ₹25 LPA
Senior-Level: ₹25 LPA - ₹60+ LPA
Job Obligation after this course
After completing this course, you can pursue a variety of career roles in the field of cybersecurity and digital forensics, including:
- Investigate cyber-crimes and analyze digital evidence to uncover attack sources and gather forensic data.
- Respond to security breaches, contain threats, and recover compromised systems.
- Perform ethical hacking to identify vulnerabilities and help organizations strengthen their security posture.
- Monitor network traffic and system logs, detect threats, and prevent security incidents.
- Design and implement security systems, including firewalls and intrusion detection systems (IDS).
- Recover and secure data from compromised or damaged systems using forensic tools.
- Manage security operations, monitor for threats, and ensure the security of enterprise networks.
- Advise businesses on best practices for protecting data, systems, and networks from cyber threats.
Companies Hiring for this course
Eligibility Criteria
A degree in Engineering, Computer Science, Information Technology, or any equivalent field is ideal for pursuing a career in Cybersecurity.
Students or professionals interested in cybersecurity and ethical hacking.
IT professionals looking to transition into cybersecurity roles.
System administrators, network engineers, or software developers seeking security
expertise.
No prior experience in cybersecurity is required, but basic IT knowledge is
beneficial.
Pre-requisites
Basic understanding of computer systems and networking
Fundamental knowledge of operating systems (Windows/Linux)
Awareness of cybersecurity concepts (preferred but not mandatory)
Analytical and problem-solving skills
Willingness to learn and adapt to new technologies
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Course Fees & Financing
Payment Partners
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
![Razorpay logo](https://lms.skillzrevo.com/wp-content/uploads/2024/09/Rozerpay_20240906_233140_0000.webp")
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 14th September 2025 | 9:00 PM - 12:00 AM | Batch 1 |
| Online Live Instructor Led Session | 28th September 2025 | 9:00 PM - 12:00 AM | Batch 2 |
Comparison with Others
| Feature | SkillRevo-Master's in Cyber Security & Forensic | EC-Council Certified Ethical Hacker (CEH) | Offensive Security Certified Professional (OSCP) | SANS GIAC Security Certifications (GSEC, GCIH, GCFA, etc.) | MIT Cybersecurity Online Program |
|---|---|---|---|---|---|
| Duration | 52 Weeks (900 Hours) | 5 Days or Self-Paced | 90 Days (Self-Paced) | Varies (Typically 5-6 Days per Certification) | 6 Months (Online) |
| Learning Format | Live Online + Self-Paced + Capstone Projects | Self-Paced + InstructorLed Labs | Self-Paced + Hands-On Labs | Self-Paced + Bootcamps | Online Video Lectures + Case Studies |
| Hands-On Labs | ✅Yes (300+ HoursI | ✅Yes (/td> | ✅Yes (Practical Exam) | ✅Yes (Cyber Ranges & Real-World Simulations) | ⚠Limited Practical Exposure |
| Tools Covered | Wireshark, Metasploit, Nmap, Burp Suite, SIEM, etc. | Wireshark, Nessus, Metasploit, Kali Linux coverage | Kali Linux, Exploitation Tools | SANS Cyber Ranges, Security Onion, SIEM, Malware Analysis | General Theoretical Coverage |
| Certifications Aligned | Covers multiple industry standards | CEH | OSCP | GIAC Certifications (GSEC, GCIH, GCFA, etc.) | No direct certification |
| Career Support | ✅Resume, Mock Interviews, Job Assistance | ⚠Exam Preparation Only | ⚠Exam Preparation Only | ⚠No direct job placement | ✅ Career guidance & networking |
| Salary Expectation (India) | ₹4 LPA - ₹60 LPA | ₹5 LPA - ₹40 LPA | ₹6 LPA - ₹50 LPA | ₹6 LPA - ₹60+ LPA | ₹8 LPA - ₹40 LPA |
| Best For | Beginners to Advanced – Comprehensive Learning | Beginners to Intermedia to – Focused on Ethical Hacking | Advanced Professionals – Red Teaming | Cybersecurity Professionals – Broad Specializations | Executives & Managers – Cybersecurity Leadership |
| Job Roles After Completion | Cybersecurity Analyst, Pen Tester, Forensic Investigator, SOC Analyst, Cloud Security Specialist | Ethical Hacker, Security Analyst | Red Team Specialist, Exploit Developer, Pen Tester | Incident Responder, Digital Forensics Analyst, SOC Lead | Cyber Risk Manager, CISO, Security Consultant |
Self Assessments
Master's in Cyber Security & Forensic Training Faqs
A specialized curriculum that gives professionals additional abilities in data analysis, generative AI model creation, and data visualization is the additional Certification in Data Science and Generative AI with Visualization Tools. Statistical analysis, machine learning, deep learning (including GANs and NLP), and technologies like as Tableau and Power BI are all covered in the curriculum.
Python programming, R programming, statistical analysis, machine learning, deep learning, computer vision techniques, natural language processing, reinforcement learning, SQL querying, data visualization (Tableau, Power BI), Java programming, Hadoop ecosystem tools, Spark data processing and analytics, NoSQL database managementNatural Language Processing (NLP), Transformer architectures Language Modeling, Generative Pre-trained Transformers (GPT) Image Generation, Large-scale image synthesis Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG)
Yes Online cources are available.
60+ Projects are covered during this cources.
duration of each lecture is 3 houre.
yes Available in online mode.
Algorithms that can produce new data that is comparable to the data they were trained on are referred to as generative AI. This comprises models that can produce realistic text, music, graphics, and other types of data, such as GANs and transformers.
50+ Projects are done during the course on the topics machine learning, Natural language processing data analysis and generative ai.
duration of each lecture of 3 houre.
For learn Master advanced data science and AI techniques, enhance data visualization skills
No work experience is required basic knowledge of data science is required.
10 to 11 months.
Introduction to Data Science- 03 Hrs, Python /R Programming-30 hrs, Statistics-15 hrs, Machine Learning-15 Hrs, Deep Learning-15 Hrs, Computer Vision-12 Hrs, Natural Language Processing-12 Hrs, Reinforcement Learning -06 Hrs, SQL,-12 Hrs Tableau-12 Hrs, Power BI- 18 Hrs, Java-06 Hrs, Hadoop-24 Hrs, Spark-15 Hrs, NoSql & Mongo DB-5 Hrs, Generative AI-40 Hrs
There are career opportunity after the course completed: AI Specialist, Data Scientist, Machine Learning Engineer.
Entry-level: 8-15 lakhs per annum
Mid-level: 15-30 lakhs per annum
Senior-level: 30+ lakhs per annum
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees(Exclusive of GST) : INR 289,999.00
INR Fee(Inclusive of GST) : INR 342,199.00
USD Fee: 3475(subject to be change)
Short Points about the Program
Comprehensive, industry-relevant curriculum
Hands-on projects and real-world case studies
Expert-led sessions with practical insights
Career support and job assistance
Access to learning resources and tools
Certification upon successful completion
