ITSY AI × IIT Jodhpur — Official Collaboration

BS/BSc in
Applied AI &
Data Science

India's Fully Online IIT Bachelor's Degree — No JEE Required! Presented by ITSY AI, Bilaspur in collaboration with IIT Jodhpur.

IIT Alumni Status No JEE Required 100+ AI Tools 1–4 Year Flexible NIRF Rank #27
Apply Free Now → Download Brochure
Program Highlights
IIT Jodhpur B.S./B.Sc.
Applied AI & Data Science
Degree IssuerIIT Jodhpur
Duration1 to 4 Years
Program Fee / Year₹1,20,000
DeliveryOnline + Campus Immersion
JEE Required?✓ No — Qualifying Test Only
Next IntakeJune 2026
1500+
Students Enrolled
₹1.20L
Fee Per Year
100+
AI Tools Mastered
#27
NIRF Engineering
2008
IIT Jodhpur Founded
Jun '26
Next Intake

Why This Program Wins

Comparison with Traditional Degrees

Feature IITJ BS/BSc (Applied AI) Traditional CS Degree
Degree Issuer IIT Jodhpur State/Private University
Tool Exposure 100+ AI Tools (Devin, Claude, LangChain) Legacy tools (Excel, basic Python)
Flexibility Stackable model (1–4 years) Rigid 4-year structure
Curriculum Latest: GenAI + Agentic AI Outdated (2018–2020 syllabi)

Career Outlook

Projected Salaries (India, 2028-2029)

Based on NASSCOM talent gap forecasts

Applied Generative AI Engineer

Skills: Foundation models, RAG systems, Agent frameworks

₹15 – 40 LPA

AI Application Engineer

Skills: GenAI orchestration, MLOps, API design

₹12 – 32 LPA

Computer Vision Engineer

Skills: Multimodal models, 3D vision, Edge AI

₹16 – 35 LPA

Eligibility & Process

How to Join

Eligibility

  • Class 12 with Mathematics
  • Min. 60% in 10+2 Exam
  • Diploma Holders are also eligible

Steps

  1. Apply online at itsyinfotech.com
  2. Pass 2-hr Qualifying Test
  3. Receive Offer Letter from IIT Jodhpur
  4. Pay Registration & Start Bridge Course
4-Year Program Journey

Program Phases &
Career Outcomes

YEAR
1
Certificate
Certification
AI Office Assistant
Data/Research Analyst
Jr. Business Analyst
YEAR
2
Diploma
Diploma
Data Analyst
Data Engineer
Jr. Data Scientist
BI Analyst
YEAR
3
BSc Degree
BSc
Domain AI Engineer
NLP/CV Engineer
Data Scientist
YEAR
4
BS + Alumni Status
BS Degree
AI App Engineer
Applied GenAI Engineer
Research/MS Pathway

Weekly commitment: 4 hrs self-paced + 8–16 hrs live sessions + 6–8 hrs self-study + 4–8 hrs build/labs

Curriculum

What You Will Learn
Year-by-Year

Semester 1 & 2

Linear Algebra & Numerical Analysis
Foundations of Statistics & Probability
Algorithmic Thinking & Applications
Basics of Data Analytics
Numerical Optimization
Foundations of AI
Visualization & Storytelling with Data
Pattern Recognition Principles

Build Project — Year 1

AI-Powered Office Assistant
Tools: Python, Pandas, ChatGPT, Power BI, Excel
Build EDA pipelines in Pandas
Create interactive dashboards (Power BI/Tableau)
Automate reports using GenAI + Excel
"How I automated weekly reporting for my school club using AI"

Semester 3 & 4

Introduction to Databases
Machine Learning – 1 & 2
Programming for Data Science
Operating Systems
Basics of Data Mining
Object-Oriented Programming
Introduction to Web Technologies

Build Project — Year 2

Customer Segmentation Dashboard
Tools: SQL, Scikit-learn, Flask/FastAPI, Git, Jupyter
SQL queries on real datasets
Train & evaluate regression/classification models
Build REST APIs with Flask/FastAPI
"How I built a customer insights tool used by a local startup"

Semester 5 & 6

Deep Learning
Foundation of Data Engineering
Image Processing & Algorithms
Computer Vision
Introduction to Robotics
Advanced AI & Distributed Computing

Build Project — Year 3

Retail Visual Inspection System
Tools: TensorFlow, OpenCV, Spark, Docker, AWS
CNNs for image classification
Data pipeline with Apache Spark
Deploy model on cloud (AWS/GCP)
"How I reduced manual QA time by 70% using a CV prototype"

Semester 7 & 8 — Two Tracks

Applied Track: Software Engineering, ML with Big Data, NLU
Applied Track: Live Capstone Project (8 credits)
Applied Track: Foundation Models
Research Track: NLU + Probability & Computational Stats
Research Track: Bachelor's Thesis (BTP-1 & BTP-2)
Research Track: Optimization for ML

Build Project — Year 4

GenAI-Powered Customer Support Bot
Applied Track — End-to-end AI on cloud
Target: AI Application Engineer
Target: Applied Generative AI Engineer
Research Track: Thesis on Efficient LLM Fine-Tuning → MS/PhD
💬 Capstone: End-to-end AI solution deployed on cloud with documentation
Career & Salary

What You Graduate With

Job Roles & Projected Salaries — India, 2028–2029 (Based on NASSCOM talent gap forecasts)

Role Key Skills Projected Salary
AI Application Engineer
Applied Track
 GenAI orchestration, MLOps, API design, product thinking
₹12–32 LPA
Applied Generative AI Engineer
Applied Track
 Foundation models, RAG systems, agent frameworks, prompt engineering
₹15–40 LPA
Computer Vision Engineer
BSc / BS Track
 Multimodal models, 3D vision, edge AI deployment
₹16–35 LPA
Data Scientist (AI-First)
Diploma / BSc Track
 Causal inference, LLM-augmented analytics, experimentation at scale
₹12–28 LPA
AI Infrastructure Engineer
BS / Research Track
 Vector databases, GPU optimization, distributed training pipelines
₹12–38 LPA
Note: Salary projections based on NASSCOM 2026–2029 talent gap forecasts, industry compensation trends (12–15% CAGR for specialized AI roles), and evolving demand for GenAI/Agentic AI capabilities. Actual compensation may vary by company tier, location, and individual skills.
Admissions

Eligibility & Application

Open to Class 12 graduates, working professionals, and diploma holders. No JEE required.

Class 12
Passed Class 12 with Mathematics as mandatory subject
60% Marks
Minimum 60% in the 10+2 examination
Qualifying Test
Pass 2-hr qualifying exam — Math, English, Logical Reasoning
Diploma Holders
Diploma holders are also eligible to apply for this program