Master’s in Cyber Security & Forensic

Master’s in Cyber Security & Forensic

Master's in Cyber Security & Forensic

Key Highlights of Master's in Cyber Security & Forensic

Why Join Master's in Cyber Security & Forensic ?

Industry-Aligned Curriculum

Our program is designed in collaboration with industry experts to ensure you gain the most relevant and up-to-date cybersecurity skills.

Hands-On Learning

Engage in real-world simulations, practical exercises, and case studies to develop a strong foundation in cybersecurity concepts and threat mitigation.

Expert-Led Training

Learn from seasoned cybersecurity professionals with extensive industry experience and insights.

Certification Readiness

Get prepared for globally recognized certifications, enhancing your credibility and career prospects in the cybersecurity field.

Career Support Services

Benefit from resume-building guidance, interview preparation, and job placement assistance to help you land your desired role.

Flexible Learning Options

Designed for both beginners and working professionals, our program offers flexible schedules to fit your learning needs.

Networking Opportunities

Connect with industry leaders, peers, and cybersecurity communities to expand your professional network and career opportunities.

Cutting-Edge Tools & Techniques

Gain hands-on experience with the latest cybersecurity tools and techniques used by professionals in the field.

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

The Master’s in Cyber Security & Forensic program is designed to equip professionals with in-depth expertise in cybersecurity, ethical hacking, digital forensics, network security, compliance, and incident response. Through live sessions, hands-on labs, real-world case studies, and capstone projects, the program covers information security, penetration testing, SOC operations, SIEM, forensic investigations, and specialized domains like IoT, blockchain, and cloud forensics. With a strong emphasis on both theoretical foundations and practical applications, learners will gain industry-relevant skills to tackle modern cyber threats, conduct forensic investigations, and implement security strategies effectively.

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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

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Master's in Cyber Security & Forensic Objectives

The Master’s in Cyber Security & Forensic program equips learners with comprehensive knowledge and hands-on skills to tackle modern cyber threats. Participants will gain expertise in cybersecurity fundamentals, ethical hacking, penetration testing, cryptography, and secure network architecture, along with proficiency in Security Operations Center (SOC) functions, SIEM tools, and incident response. The program covers digital forensics, including disk, memory, network, and malware analysis, using industry-standard tools like Autopsy, FTK Imager, and Volatility. Learners will also explore compliance, risk management, governance frameworks (ISO 27001, GDPR, IT Act), and advanced cyber threat analysis involving APTs, ransomware, and honeypots. Additionally, emerging security domains such as IoT, blockchain, and cloud forensics are covered. Through real-world capstone projects, learners apply their knowledge to attack simulations, forensic investigations, security audits, and malware analysis, preparing them for roles such as Security Analyst, Penetration Tester, Digital Forensic Investigator, SOC Analyst, and Cybersecurity Consultant.

Why Learn Master's in Cyber Security & Forensic ?

Growing Cyber Threats:

The increasing complexity of cyberattacks makes cybersecurity expertise crucial for individuals and organizations.

Comprehensive SkillSet:

Gain hands-on experience in ethical hacking, penetration testing, digital forensics, SOC operations, and incident response.

Industry-Relevant Knowledge:

Learn about risk management, compliance frameworks, cloud security, and blockchain security to secure modern IT infrastructures.

High Demand for Cybersecurity Professionals:

Organizations worldwide are actively seeking skilled cybersecurity experts to protect their digital assets.

Lucrative Career Opportunities:

Unlock high-paying roles such as Cybersecurity Analyst, Ethical Hacker, Digital Forensic Investigator, and Security Consultant.

Cross-Industry Applications:

Cybersecurity skills are essential across various sectors, including finance, healthcare, government, and IT.

Program Advantages

Master's in Cyber Security & Forensic Certification

Master's in Cyber Security & Forensic Learning Path/Curriculum

Module 01

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

Module 02

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

Module 03

Lecture 3.1

Lecture 3.2

Lecture 3.3

Module 04

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

Module 05

Lecture 5.1 - Windows Forensics

Lecture5.2 - Linux Forensics

Lecture 5.3 - Memory Forensics

Module 06

Lecture 6.1 - Network Forensics

Lecture 6.2 - Log Analysis and Correlation

Lecture 6.3 - Malware Analysis

Module 07

Lecture 7.1 - IoT Forensics

Lecture 7.2 - Blockchain Forensics

Lecture 7.3 - Cloud Forensics

Module 08

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

Master's in Cyber Security & Forensic Program Benefits

Cutting-Edge Technologies

In-Demand Skills to tackle real-world cybersecurity threats.

Practical Knowledge

Practical Exposure through hands-on labs and simulations.

Industry Readiness

Industry Certification Readiness to boost credibility and career prospects.

Career Advancement

Career Growth Opportunities in high-paying cybersecurity roles.

Expert Support

Expert Mentorship from industry professionals.

Networking Opportunities

Networking Opportunities with peers and cybersecurity experts.

Flexible Learning

Flexible Learning tailored for working professionals.

Career Opportunities after this course

Projects that you will Work On

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

Image Classification for Gender and Sleeve Type from Myntra
Classify images from Myntra into gender and sleeve types using deep learning techniques.
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Facial Expression Recognition
Recognize facial expressions (e.g., happiness, sadness) from images using CNNs.
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Image Super-Resolution
Enhance image resolution using techniques like SRGAN.
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Object Detection
Detect and classify objects in images using techniques like YOLO.
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Facial Expression Recognition
Build a model to classify facial expressions into categories like happy, sad, angry, etc.
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Salary Expectation after completion of the course

Job Obligation after this course

Companies Hiring for this course

Eligibility Criteria

Pre-requisites

Batch Professional Profiles

Data Analyst

Statistician

Machine Learning Engineer

Deep Learning Engineer

Data Scientist

Python Developer

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

(Inclusive Of All Taxes)

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.
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

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Expert Instruction

Learn from experienced professionals who provide valuable insights and industry best practices.

Integrated Approach

Understand how to combine various tools and techniques to solve complex problems and make data-driven decisions.

Flexible Learning

Suitable for both beginners and experienced professionals, with opportunities for growth at any career stage.

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