What is Data Engineering?
Data Engineering is the systematic application of software engineering, database systems, and distributed computing to create robust data pipelines and infrastructure.
It encompasses architectures for massive scale global data, ETL processes, real-time streaming, and building the pipelines that power global AI intelligence.
Curriculum
Curriculum Highlights
1. Big Data Systems & NoSQL2. Data Mining & Knowledge Discovery3. MLOps & Data Pipelines4. Information Retrieval5. Data Visualization6. Distributed Database Systems
Programme & Curriculum
Semester: 1
- Calculus
- Physics
- Introduction to Programming
- English Communication
- Innovation Lab I
- Yoga Education & Practices
Semester: 2
- Probability & Statistics
- EE Fundamentals
- Data Structures
- Professional Communication
- Innovation Lab I
- Environment Studies
Career Impact
Pathways for Data Engineers
Data Architect
Major SegmentData Architecture
Strategic LabNVIDIA Pipeline
Big Data Engineer
Major SegmentBig Data Systems
Strategic LabShodh AI Research
Cloud Data Engineer
Major SegmentCloud Computing
Strategic LabEmbodied Brain Lab
MLOps Engineer
Major SegmentMLOps Systems
Strategic LabPolicy Hub
Fees Structure
| Specialization Architecture | Duration | Annual Investment | Entry Threshold |
|---|---|---|---|
Major Specialization Data EngineeringMinor Specializations
| 04 YEARS | ₹2.0L | 70% Aggregate Minimum |
Innovation Labs
Apple Ecosystem
NVIDIA Pipeline
RISC-V Lab