Data Science Master Program

Curriculum Overview | Updated February 2026

Module 1: Programming Foundations
  • Python for Data Science
  • SQL Essentials for Data Handling
  • Advanced Excel for Analytics
Module 2: Data Analysis & Visualization
  • Exploratory Data Analysis
  • Data Visualization with Power BI & Tableau
  • Dashboard Design & Insights Presentation
Module 3: Statistics & Machine Learning
  • Descriptive & Inferential Statistics
  • Supervised & Unsupervised Learning
  • Regression, Classification & Clustering
  • Model Evaluation & Optimization
Module 4: Advanced Topics in AI
  • Deep Learning Fundamentals
  • Natural Language Processing (NLP)
  • Computer Vision & Image Recognition
  • AI Project Deployment
Module 5: Big Data & Cloud Tools
  • Introduction to Big Data
  • Hadoop & Spark Frameworks
  • Working with Cloud Platforms
Module 6: Projects & Career Readiness
  • 25+ Real-world Data Science Projects
  • Capstone Project with Industry Mentorship
  • Resume Building & Interview Preparation
  • Career Mentoring & Job Placement Support
  • Participation in Hackathons & Competitions

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