Programme Structure

Year 1: Foundation in engineering sciences, mathematics, and ethics.
Year 2: Domain-focused courses with integrated lab work.
Year 3: Industry internships, electives in emerging tech, and innovation projects.
Year 4: Capstone projects, entrepreneurial incubation, national & global exposure

Sno	Category	Suggested break up of credits
1	Humanities and social sciences including management courses	12
2	Basic science courses + Mathematics	18
3	Engineering science courses first year	9
4	Professional core	48
5	Professional elective	24
6	Open electives	17
7	Project work	12
8	Non Credit Mandatory courses	Non-credit
Total		140

Course Name
Computer Organisation and Design
Data Structures and Algorithms
Database Management Systems
Mathematical Optimisation
Introduction to AI & ML
Foundations of Machine Learning
Deep Learning
Natural Language Processing
Generative AI
Design Thinking with AI
Computer Vision
AI ML Systems
Responsible AI
Data Analytics