Master’s in Cyber Security & Forensic
February 26, 2025 2025-06-24 16:57Master’s in Cyber Security & Forensic
Masters in Cyber Security and Digital Forensics
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
Why Join Master's in Cyber Security & Forensic ?
Upcoming Batch:-
19th January 2025 (10pm to 1 am )
1st of February 2025 (10 pm to 1 am)
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 & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
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
Lecture 1.1 - Introduction to Cyber Security Fundamentals
Lecture 1.2 - Web Technologies, OWASP, DVWA, Bwapp with Practicals
Lecture 1.3 - Cryptography with Practicals
Lecture 1.4 - Network Concepts
Lecture 1.5 - Network VAPT
Lecture 1.6 - ISO, ISMS, Compliance, Risk Management
Lecture 1.7 - Information Security Management – Roles and Responsibilities
Lecture 2.1 - Introduction to SOC
Lecture 2.2 - Incident Handling Concepts
Lecture2.3 - Security Devices, Security Configuration & Management, Sniffing Concepts, Network Attacks with Practicals
Lecture 2.4 - SIEM and Splunk Implementation with Practicals
Lecture 2.5 - Configuration Audits and System Hardening
Lecture 2.6 - Incident Investigation and Cyber Forensics
Lecture 3.1
Lecture 3.2
Lecture 3.3
Lecture 4.1 - Introduction to Digital Forensics
Lecture 4.2 - Evidence Collection & Preservation
Lecture 4.3 - Cyber Laws and Regulations
Lecture 4.4 - Basics of Forensic Science
Lecture 5.1 - Windows Forensics
Lecture5.2 - Linux Forensics
Lecture 5.3 - Memory Forensics
Lecture 6.1 - Network Forensics
Lecture 6.2 - Log Analysis and Correlation
Lecture 6.3 - Malware Analysis
Lecture 7.1 - IoT Forensics
Lecture 7.2 - Blockchain Forensics
Lecture 7.3 - Cloud Forensics
Lecture 8.1 - Incident Response Process
Lecture 8.2 - Forensic Reporting and Documentation"
Master's in Cyber Security & Forensic Skills Covered
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
Entry-Level: $50,000 - $80,000
Mid-Level: $85,000 - $130,000
Senior-Level: $120,000 - $250,000
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
Pre-requisites
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
Course Fees
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 5th April 2025 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 29th March 2025 | 02:00 PM | Part-Time |
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)
