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India's
First AI-Native
B.Tech in CSE & AI

Learn from engineers who've built real systems at

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21
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29
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✓ Joined by 41,328+ aspirants this batch Apply by 4 September 2026

Tensor School vs Traditional B.Tech

Traditional colleges charge ₹20 Lakhs to give you a ₹5 Lakh job. We flipped the model.

✕ Traditional B.Tech
Tensor School — Best Choice
✕
Curriculum

Legacy-first syllabus. First year heavy on Engineering Drawing, Physics & Chemistry.

Curriculum

AI-native syllabus co-designed with senior engineers. Focus on GenAI, Cloud & Full-Stack from Day 1.

✕
Real Work Experience

0 months. Graduate as a fresher with no production portfolio.

Real Work Experience

18 months of commercial experience via paid internships starting Year 2.

✕
Faculty & Mentorship

Academicians with limited industry shipping exposure.

Faculty & Mentorship

Practitioners who ship software. Weekly code reviews by senior engineers.

✕
Hiring Model

Mass placements and resume portals with multi-round filters.

Hiring Model

Hiring Tournaments—show skills live and land offers in a day.

✕
Network Access

Placement cell outreach via email and generic drives.

Network Access

The Talent Club: private access to 50+ CHROs & CTOs visiting monthly.

✕
Infrastructure

Restricted lab hours. Outdated PCs and legacy software.

Infrastructure

MacBook-first, 24/7 hacker labs optimized for deep work.

✕
Specialization

General CS electives with limited niche pathways.

Specialization

Achievers' Tracks for GSoC, ICPC, and Quant (HFT).

✕
Evaluation

Rote-heavy theory exams and attendance.

Evaluation

Proof of Work: graded on GitHub commits, live deployments, and rankings.

✕
ROI

₹20L+ fees → fight for ~₹5L entry roles.

ROI

Stipends ≥ Tuition → near zero net cost.

Built to maximize outcomes: better skills, better offers, faster.

Our Methods are Working
Amazingly Good!

From open-source contributions to winning HackerCup, we've got every feather in our cap.

4.5 LAKH MONTHLY STIPEND
Student with 4.5L stipend
♞
Ebullient Securities Quantitative Research Intern

Bagged Internship with 4.5L per month stipend

Quantitative Finance
Google
STEP Internship
Google STEP Interns

Google Step Intern

Monthly stipend 1L+ in her 2nd year

Codeforces (1771)
★
Uber Star Intern

Uber Star Intern

Monthly stipend 1.2L in his 2nd year

The 4–Year Curriculum

We stripped out Physics & Chemistry. We replaced them with Python, System Design, and Generative AI.

Core Modules
Python & C++ Mastery
Object Oriented Programming (Java)
Digital Systems & Logic Design
Linear Algebra & Matrices
Linux OS & Git Version Control
Production Grade Build
Spotify CLI
The Audio Manager

Build a music player interface in C++ using Doubly Linked Lists to handle song queues, "Previous/Next" functionality, and playlist reordering.

BANK OF AMERICA
Bank of America Clone
Secure Banking System

Apply Object Oriented Programming (Java) principles (Inheritance, Polymorphism) to build a banking system handling multiple account types, transactions, and security checks.

>_
Terminal 2.0
Shell Automation

Create a custom command-line interface using Linux & Bash Scripting to automate file organisation, backups, and user permission management.

✕
The Logic Sim
CPU Simulator

Use Discrete Structures & Digital Systems to code a simulator that mimics logic gates (AND/OR/XOR) and basic circuit behavior.

Photoshop Lite
Image Processing Engine

Use Linear Algebra & Matrix Theory to manually manipulate pixel arrays, creating filters (Blur, Edge Detection, Grayscale) without external libraries.

Skills You Will Build
Core Logic: Mastery of Python, C++, and Java syntax.
Math for AI: Understanding how Matrices (Linear Algebra) power data.
System Control: Navigating Linux environments and Version Control (Git).
Hardware Sense: Understanding how code interacts with digital logic.
Detailed Subjects
  • Discrete Structures & Logic
  • Programming in Python + Lab
  • Digital Systems & Microcontrollers
  • Computer Workshop (Linux, Git, Bash)
  • Communication & Professional Ethics
  • Data Structures & Algorithms in C++
  • Linear Algebra & Vector Calculus
  • Object Oriented Programming in Java
  • Computer Organisation & Architecture
Core Modules
Operating Systems & Kernels
Probability & Statistical Modeling
Machine Learning & AI Principles
Full Stack Development (MERN)
Cloud, DevOps & Virtualization
Production Grade Build
Netflix Recommender
Data Science / Statistical Engine

Use Probability & Statistics combined with Python to build a collaborative-filtering movie recommendation model based on user watch histories.

Docker Mini
Process Isolator in C

Deep dive into Operating Systems to build a containerizer from scratch, sandboxing processes, managing memory and CPU allocation manually.

amazon
Amazon Backend
E-Commerce Database System

Design a scalable database using DBMS (SQL), optimize SQL queries for millions of product SKUs, and handle concurrent user transactions.

Zoom Chat
Real-Time Communication

Harness WebSockets & Node.js to build a latency-free chat and video application using Docker.

Skills You Will Build
Data Sense: Statistical modeling and probability reasoning.
System Internals: How Operating Systems schedule tasks and manage memory.
Full-Stack Engineering: Building end-to-end web applications (MERN).
Infrastructure: Deploying code using DevOps and Cloud principles.
Detailed Subjects
  • Probability & Statistics for AI
  • Operating Systems & Kernel Programming
  • Design & Analysis of Algorithms (Advanced)
  • Database Management Systems (Internals)
  • Competitive Programming I
  • Software Engineering & Agile
  • Machine Learning Algorithms & Loss Functions
  • Computer Networks & Socket Programming
  • Web Application Engineering (Full-Stack)
  • Cloud Infrastructure & Containerization
Core Modules
Deep Learning & Neural Networks
LLMs & NLP
Distributed Systems & System Design
Generative AI & MLOps
Cyber Security
Production Grade Build
ChatGPT Wrapper
Personal AI Assistant

Use NLP & Large Language Models (LLMs) to build a smart assistant that can answer questions, summarize text, and write code.

Google
Google Search Engine
Distributed Systems Core

Apply Distributed Systems logic to build a web crawler that gathers data from multiple sources, indexing content and handling failures.

MJ
Midjourney Lite
Image Generator

Leverage Generative AI and Deep Learning to build a diffusion model pipeline that generates images from text prompts.

Tesla Autopilot Sim
Self Driving Agent

Use reinforcement learning to train an agent in a simulated environment to navigate a track without crashing.

Skills You Will Build
Deep Tech: Building and training Neural Networks and LLMs.
Scalability: Designing systems that handle millions of users (System Design).
Modern AI: Prompt Engineering and Generative AI workflows.
Deployment: Taking models from "Notebook" to "Production Server".
Detailed Subjects
  • Deep Learning & Neural Networks
  • NLP & Large Language Models (LLMs)
  • Distributed Systems for AI
  • System Design (HLD & LLD)
  • Network Security & Cryptography
  • Generative AI & Diffusion Models
  • MLOps: Model Monitoring & CI/CD Pipelines
  • Reinforcement Learning & Robotics
  • Advanced Cloud Architectures (AWS/GCP)
Core Modules
Real-world Engineering (Internship)
Large Scale System Deployment
Professional Ethics in AI
Capstone Design & Viva Voce
Production Grade Build
The Startup MVP
0 to 1 Product

During the Industry Internship, you will work on a live product, building a Minimum Viable Product (MVP) for a real user base.

The Capstone (Phase 1)
Problem Statement Design

Identify a massive real-world gap (e.g., AI in Healthcare) and architect a complete technical solution from scratch.

The Capstone (Phase 2)
Final Deployment

Deploy your Capstone to a production server with automated monitoring, documentation, and user-facing URL.

Production Fixes
Debugging at Scale

Learn to debug live production issues, handle on-call rotations, and write post-mortem reports during your residency.

Skills You Will Build
Professionalism: Working in Agile teams and communicating with stakeholders.
Production Readiness: Writing code that is maintainable, tested, and secure.
Problem Solving: Tackling undefined, messy real-world problems.
Career Launch: Transitioning from student to full-time engineer.
Detailed Subjects
  • Industry Internship (Semester Long)
  • Capstone Phase 1 (Problem & Design)
  • Capstone Phase 2 (Build & Production Deployment)
  • Viva Voce & Technical Defense
  • Transition to Full-Time Tech Roles

Careers

Placements & recruiters

₹54 LPA
Highest package
₹9.8 LPA
Average package
312
Recruiters on campus
Infosys
TCS
Zoho
L&T
Ashok Leyland
Freshworks

Research

Work that leaves the building

Twelve funded centres, from water quality to power electronics. Undergraduates join a lab from the second year, and every thesis is examined externally.

184
Patents filed
1,260
Papers since 2020
12
Funded centres
₹42 Cr
Active grants

Impact of Our Work

Leading the conversation on the future of engineering education.

Frequently Asked Questions.

Everything you need to know about eligibility, the degree, and life at Tensor.

Yes. You receive a UG degree in Computer Science & AI from S-VYASA deemed to be University, which is UGC-Recognized and AICTE-Approved. It is fully valid for UPSC, GATE, and Masters degrees in the US/UK.
No. Our curriculum starts from the absolute basics (Logic & Syntax) in Year 1. We select based on mathematical aptitude and problem-solving potential, not prior coding knowledge.
Yes. Tensor is a fully residential program. We believe the most valuable learning happens during late-night hackathons and peer collaboration in the Hacker House.
Yes. We have partnerships with leading financial institutions to facilitate education loans for eligible students. Our admissions team guides you through the documentation.
Admission is strictly merit-based. If you don't clear the first round, you may apply for the next cycle, but standards remain the same.