Postgraduate Program in Data Science with Specialization in Data Engineering
The Postgraduate Program in Data Science with Data Engineering specialization prepares tech-savvy learners with advanced knowledge in data ingestion, transformation, storage, and real-time processing. This comprehensive program covers foundational data science plus specialized engineering topics like distributed computing, streaming, and governance.
Live Training - 190+ hours with industry experts in data engineering.
IBM edX Prep - Support for specialized certifications and industry recognition.
Assured Interviews - 3 guaranteed opportunities post-completion for career advancement.
Career Services - Full profile support and mock interview sessions.
Hands-On Labs - Practice on AWS and other leading cloud platforms.
Projects - 10+ including foundational and engineering-focused applications.
Bachelor's degree in STEM preferred
Basic programming knowledge in Python or similar languages
Understanding of database concepts
Updated resume and academic transcripts
Government ID for verification
Foundation (Month 1-2)
SQL - Python - Statistics - Data Analysis Fundamentals
Foundation (Month 3-4)
Exploratory Data Analysis - Machine Learning - Model Building
Foundation (Month 5)
Advanced Analytics - Business Applications - Project Work
Specialization (Month 6-8)
Modern Data Stack (dbt, Airflow) - Cloud Systems (Spark, AWS) - Streaming - Quality Optimization
Data Foundations - Master SQL, Python, statistics, EDA, and ML basics.
Engineering Skills - Build pipelines with Spark, Airflow, and cloud tools.
Streaming Expertise - Handle real-time data with Kinesis and Grafana.
Governance - Ensure quality, lineage, and cost efficiency in data systems.
Cloud Integration - Deploy and manage data solutions on cloud platforms.
Job Roles
Top Recruiters
for the entire program (scholarships and installment options available)