PG Data Science with Cyber Security Job Gurantee Program
Master in-demand Data Science and Cyber Security skills with top industry experts through hands-on training and real-world projects, backed by full career support. Join our PG Data Science with Cyber Security Job Guarantee Program and secure a job within 6 months of course completion—or get your money back, guaranteed.
Program Duration
12 Months
Learning Format
Online Live
Placement Assistance
100% Guaranteed
Trusted By Leading Companies
No Content
Join the Most In-Demand PG Data Science with Cyber Security Job Guarantee Program
Master the real-world application of Data Science, Artificial Intelligence, and Cyber Security to build smart, secure, and scalable solutions that drive business success. This 100% Job Guarantee program is designed for fresh graduates and working professionals aiming to launch a high-impact career in the AI, Data Science, and Cyber Security space. Gain hands-on experience with AI tools, machine learning algorithms, deep learning techniques, and cybersecurity frameworks while solving real industry problems. Prepare to step confidently into roles like Data Scientist, AI Engineer, ML Engineer, Cyber Security Analyst, and more—all backed by practical project work and full placement support.
Industry-Relevant Curriculum
Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, and Big Data technologies.
Job Guarantee
Get placed in a data science role within 6 months of graduation or receive a full refund of your program fee.
Live Online Classes
Learn from top industry experts through interactive live sessions with real-time doubt resolution.
1:1 Mentorship
Personalized guidance from industry mentors to help you navigate your learning journey effectively.
Career Support
Resume building, interview preparation, and exclusive access to job opportunities with top companies.
Capstone Projects
Work on real-world projects to build a strong portfolio that showcases your data science expertise.
Comprehensive Course Curriculum
Our industry-aligned curriculum is designed by experts to help you master the most in-demand data
science and cyber security skills and prepare you for a successful career.
Data & Security Fundamentals
Begin your journey by understanding core cybersecurity concepts and how data supports threat detection. You’ll explore risk metrics, threat types, and structured vs. unstructured data in security systems. Dive into compliance frameworks like GDPR and HIPAA, and understand governance protocols. Analyze real-world data breach case studies to connect theory with practice. This module builds the foundation for advanced topics. You’ll emerge with a clear grasp of how data drives modern security decisions.
What you'll learn:
- Cybersecurity basics and common threats.
- How data supports security and risk analysis.
- Compliance standards like GDPR and HIPAA.
Course Content
Cybersecurity Basics
Introduction to Excel, formulas, pivot tables, charts, statistical functions, dashboards, What-if analysis, Google Sheets for collaboration
Data Foundations
Basics of databases, CRUD operations, joins, aggregations, filtering, subqueries, window functions, CTEs
Risk, Compliance & Govern
Understanding relational databases (MySQL/PostgreSQL), indexing, normalization
Python, SQL & Data Management
Develop hands-on skills in Python and SQL, the two most essential tools in cybersecurity analytics. Learn to write scripts, automate analysis, and handle large-scale log files using Pandas. Explore how to query security data with SQL and clean complex incident datasets. Understand log formats, data storage systems, and database design for cyber use cases. By the end, you’ll be comfortable with managing real-world security data. These are the core tools you’ll use across every future module.
What you'll learn:
- Automate security data analysis using Python and libraries like Pandas.
- Query and manage large-scale security logs with SQL.
- Handle and prepare structured and unstructured data for cybersecurity use cases.
Course Content
Python Programming
Variables, loops, conditionals, functions, data structures (lists, tuples, dictionaries, sets)
SQL for Security Logs
OOP concepts, file I/O, error handling, comprehensions
Data Wrangling & Storage
Arrays, vectorized operations, DataFrames, filtering, merging, grouping, reshaping
Machine Learning for Anomaly Detection
Dive deep into machine learning and use it to uncover anomalies in network behavior. Start with foundational techniques like supervised and unsupervised learning, then apply them to real threats. Build models using algorithms like Isolation Forest and Autoencoders. Understand how to detect rare events that traditional systems miss. You’ll also work on time-series and sequence data to catch evolving threats. This module builds your predictive analytics expertise for security environments.
What you'll learn:
- Apply supervised learning to detect known cyber threats.
- Use unsupervised learning to uncover hidden anomalies in network data.
- Build and tune models like Isolation Forest and Autoencoders for anomaly detection.
Course Content
Supervised Learning
Overview of data science field, career paths, and industry applications
Unsupervised Learning
Variables, data types, control structures, functions, and object-oriented programming
Anomaly Detection Models
Linear algebra, calculus, and probability theory fundamentals
Cyber Threat Intelligence & Defense
Learn how to identify, analyze, and respond to cyber threats using modern tools and frameworks. Get hands-on with IDS/IPS systems, SIEM platforms, and threat-hunting methods. Understand attacker behavior through threat feeds, indicators of compromise, and behavioral patterns. Practice responding to incidents using SOC workflows and structured playbooks. You’ll simulate attacks and responses in real-time labs. This module sharpens your defense skills and operational awareness.
What you'll learn:
- Use IDS/IPS and SIEM tools for real-time threat monitoring.
- Learn proactive cyber threat hunting and behavior analysis.
- Investigate and respond to security incidents with SOC workflows and playbooks.
Course Content
Cyber Threat Hunting
Overview of data science field, career paths, and industry applications
IDS/IPS Systems & SIEM Tools
Variables, data types, control structures, functions, and object-oriented programming
Incident Analysis
Linear algebra, calculus, and probability theory fundamentals
Security Analytics & Predictive Modeling
Bridge cybersecurity and data science by applying predictive models to threat data. Learn to analyze malware behavior and simulate risk using ARIMA, Prophet, and Monte Carlo methods. Work on real case studies from BFSI and healthcare to apply models in context. Forecast vulnerabilities and recommend proactive security actions. Build custom dashboards and reports for decision-makers. This module prepares you to move from reactive to predictive security operations.
What you'll learn:
- Analyze malware behavior using machine learning algorithms.
- Forecast cyber risks using predictive models like ARIMA and Prophet.
- Apply AI-driven security analytics in BFSI and healthcare case studies.
Course Content
Malware Detection with ML
Overview of data science field, career paths, and industry applications
Threat Forecasting Models
Variables, data types, control structures, functions, and object-oriented programming
Case Studies in BFSI & Healthcare
Linear algebra, calculus, and probability theory fundamentals
Projects, Deployment & Career Readiness
Bring everything together in a capstone project that solves a real-world security problem. From data ingestion to threat modeling and visualization, you’ll apply the full tech stack. Get personalized support on your resume, LinkedIn, and interview preparation. Participate in mock interviews with industry mentors and hiring managers. Pitch your final project for review and feedback from experts. This module ensures you’re job-ready with a strong project portfolio and placement support.
What you'll learn:
- Execute a full-cycle security analytics capstone project.
- Enhance your resume, LinkedIn profile, and interview skills with expert guidance.
- Present your project to industry mentors and prepare for job placement.
Course Content
Capstone Security Analytics Project
Building REST APIs with Flask, deploying models with AWS or Streamlit
Resume + LinkedIn + Mock Interviews
Batch vs real-time, pipeline orchestration, model monitoring basics
Final Presentation + Placement Prep
Real-world applications in BFSI, Healthcare, Retail, E-commerce
🛡️ Your Data + Cyber Security Career Journey
Get Started
Orientation & Skill Assessment
Core Foundations
Python, SQL, Excel, Tableau, Power BI
Analytics + ML
Data Science & Visualization Bootcamp
Choose Track
Assessment + Specialization Prep
Cyber Security Core
Networking, SIEM, Threat Hunting, Linux
Advanced Analytics
ML, AI Concepts, Cloud Security (AWS)
Capstone Project
Data + Cyber Use Case + Presentation
Career Services
Mock Interviews, Resume, Job Referrals
Job Guarantee
Land a Role in Data or Cyber Security
🔐 Your Cybersecurity + Data Science Journey
🏁 Start Here
Cybersecurity orientation, skill check & learning goals
🧑💻 Programming & Data Management
Python, SQL, data wrangling & security log handling
🧠 ML for Threat Detection
Supervised & unsupervised learning, anomaly detection models
🔍 Threat Hunting & Incident Response
SIEM tools, IDS/IPS systems, incident triage & response
📈 AI & Forecasting in Cybersecurity
Malware analysis, risk modeling & predictive security tools
🛠 Capstone Project & Simulations
End-to-end threat analytics project with expert review
💼 Career Readiness
Resume, LinkedIn, mock interviews, placement prep
🏆 Final Outcome
Secure a job in Cybersecurity/Data Science
👩🏫 Meet Your Data Science and cyber security Mentors
What role does a Data Scientist with Cyber Security Expertise play?
Cyber Data Scientist
Leverage AI and data analytics to detect and prevent cyber threats.
Security Data Analyst
Analyze logs and security data to identify anomalies and risks.
Machine Learning Engineer
Build threat detection models for real-time cybersecurity solutions.
Cybersecurity Engineer
Design and implement secure data systems and protocols.
Threat Intelligence Analyst
Use data to understand and predict emerging cyber threats.
Security Operations Analyst
Monitor and respond to security incidents using data insights.
Compliance Analyst
Ensure organizational data practices align with security standards.
AI Security Researcher
Develop AI-powered tools for proactive cyber defense.
Incident Response Analyst
Investigate and contain breaches using forensic data methods.
Master 25+ Essential Skills to Become a Job-Ready Cyber Data Scientist
Work Hands-On With the Most Powerful Tools in Data Science & Cyber Security
Python
NumPy
Pandas
Jupyter
TensorFlow
Scikit-Learn
SQL
Matplotlib
Seaborn
Kali Linux
Nmap
Linux
Apply Skills in Real-World Industry Projects
Insider Threat Detection in Enterprises
Use anomaly detection models to identify suspicious user behavior within corporate systems, flagging potential insider threats in real-time. Analyze logins, file access, and system usage patterns.
Tools: Python (Isolation Forest, Autoencoders), SQL, Kibana Skills: Anomaly Detection, Behavioral Analytics, Log Analysis Sector: IT SectorFinancial Fraud Detection with ML
Develop a supervised learning model to classify and flag fraudulent financial transactions using historical patterns and transaction metadata.
Tools: Python (Scikit-learn, XGBoost), SQL, Power BI Skills: Classification, Imbalanced Data Handling, Model Evaluation Sector: FintechMalware Spread Forecasting
Use time-series forecasting techniques to predict the spread of malware in hospital networks and minimize critical system downtimes.
Tools: Python (ARIMA, Prophet), Pandas, Matplotlib Skills: Forecasting, Time-Series Modeling, Cyber Risk Analytics Sector: Healthcare SectorReal-Time Anomaly Detection for Network Logs
Build a streaming anomaly detection system to monitor and detect threats from government network logs in real-time.
Tools: Apache Kafka, Python, ELK Stack Skills: Streaming Data, Real-Time Analytics, Network Security Sector: GovtEmail Phishing Classifier using NLP
Train a natural language processing model to classify emails as phishing or legitimate using text patterns and metadata.
Tools: Python (NLTK, Scikit-learn), Pandas Skills: NLP, Text Classification, Cybersecurity Sector: Corporate CybersecuritySOC Dashboard for Security Incidents
Design a Security Operations Center (SOC) dashboard to visualize and track live security alerts and incident response KPIs for retail systems.
Tools: Splunk, Tableau, SQL Skills: Security Monitoring, SIEM, Dashboarding Sector: RetailRansomware Detection Using File Behavior Analytics
Develop a system that monitors file access patterns to detect ransomware activity based on encryption spikes, access frequency, and anomalies.
Tools: Python (Scikit-learn, Pandas), ELK Stack, OSQuer Skills: Behavioral Analytics, Feature Engineering, File System Monitoring Sector: Enterprise IT SecurityIdentity Theft Detection with Multi-Factor Risk Scoring
Build a multi-factor scoring model that detects identity theft attempts based on device, location, transaction, and behavioral data.
Tools: Python, SQL, Power BI Skills: Risk Modeling, Scoring Systems, Data Integration Sector: Digital BankingOur Hiring Partners
Career Services to Get You Hired
Dedicated career support to transform your skills into a successful data science career.
Hear from Our Alumni
Real success stories from our Data Science with Cybersecurity program.
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FAQs: PG Data Science with Cyber Security Job Guarantee Program
Q. Who is eligible for this program?
Graduates with an interest in both data analytics and cyber security can apply. No prior experience required.
Q. What is the course duration?
Q. Do I need a tech background?
Q. What tools will I master?
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