B.Tech Artificial Intelligence & ML
Department's AI & Innovation Accomplishments
Overview
What is the B.Tech AI & ML Programme?
Scope
Expanding opportunities in the multi-billion dollar AI economy
Structure
An advanced, math-heavy curriculum for future AI Architects
Value Added Courses for all UG (VAC) — Non Mandatory
| Course Name | Category | Credits |
|---|---|---|
TensorFlow & PyTorch Certification Prep | VAC | 2 |
Data Visualization (Tableau/PowerBI) | VAC | 2 |
Prompt Engineering & LLM Basics | VAC | 0 |
4 Year AI & ML Leadership Roadmap Roadmap
Your journey from a science student to an elite Artificial Intelligence engineer.
Mastering the Fundamentals of Programming
The first year builds a strong mathematical foundation and introduces you to the core logic of programming through Python and C.
What you'll learn
AI Tools & Technologies
In Classroom Concepts
Logic
How computers think
Math
Calculus and Algebra
Projects You'll Work On
Logic Scripts
Basic terminal programs
Coding Lab- ›Engineering Mathematics I & II
- ›Introduction to Python
- ›Introduction to C Programming
- ›Engineering Graphics & Basic Electricals
Statistics, DSA and Databases
Year two bridges core computer science with the math required for AI. You master Data Structures, Probability, Linear Algebra, and SQL.
What you'll learn
AI Tools & Technologies
In Classroom Concepts
DSA
Optimizing algorithms
Stats
Understanding data variance
Projects You'll Work On
Data Cleaning
Processing raw datasets
Data Lab- ›Data Structures & Algorithms (DSA)
- ›Probability & Statistics for AI
- ›Linear Algebra
- ›Database Management Systems (DBMS)
Neural Networks & Computer Vision
This is the core AI year. Build predictive models using Machine Learning, process images with Computer Vision, and understand language via NLP.
What you'll learn
AI Tools & Technologies
In Classroom Concepts
ML Models
Training algorithms
Vision
Teaching computers to see
Projects You'll Work On
Face Recognition
Building a vision model
AI Hackathon- ›Machine Learning Algorithms
- ›Deep Learning & Neural Networks
- ›Natural Language Processing (NLP)
- ›Computer Vision
Industry Readiness & Big Data
Deploy your AI models on the Cloud (AWS), analyze Big Data, and spend your final semester in a corporate IT internship.
What you'll learn
AI Tools & Technologies
In Classroom Concepts
Big Data
Handling massive datasets
Internship
Real-world tech job
Projects You'll Work On
Corporate Intern
6-Month Live AI Role
MNCs / Startups- ›Reinforcement Learning
- ›Cloud Computing for AI
- ›Big Data Analytics
- ›6-Month Corporate Internship
Admission
Transparent fee structure for B.Tech AI & ML
Admission Criteria
Through Eligibility & Scholarship Test (CPU-EST). For detailsClick here
Rolling Admission: We follow rolling admission process. To applyClick Here
Course Fee Structure
Scholarships
Scholarship For Session 2026-27
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Early Admission Benefit (One Time) [INR] | 5000 | 3000 | 2000 | No EAB |
Merit Scholarship
| % in 12th Board (PCM) | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 95% | 50% | 45% | 40% | NA |
| 90% – 94.99% | 40% | 35% | 30% | NA |
| 85% – 89.99% | 30% | 25% | 20% | NA |
| 80% – 84.99% | 20% | 15% | 10% | NA |
| 70% – 79.99% | 15% | 10% | 5% | NA |
| 60% – 69.99% | 10% | 5% | NA | NA |
| %tile in JEE Main | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 98.0 | 60% | 60% | 50% | 40% |
| 95.0 – 98.0 | 50% | 50% | 40% | 30% |
| 90 – 94.99 | 40% | 30% | 20% | 10% |
| 85 – 89.99 | 30% | 20% | 10% | NA |
| 80 – 84.99 | 20% | 10% | 5% | NA |
For CPU Students ( Graduation Year 2025 or 2026)
| Scholarship in Tuition Fee | ||||
|---|---|---|---|---|
| Till 31st July | After 31st July | |||
| CPU Student (Graduating in 2025 or 2026) | 1. Waiver in Admisoin Fee Rs 5000/- 2. Scholarship 10% in Tution fee OR merit scholarship as above whichiever is higher | NA | ||
Note:
- 1. Merit scholarship is linked with admission date (irrespective of date of result declaration of previous class)
- 2. Student can avail only one type of merit scholarship scholarship (whichever is higher).
- 3. Merit Schiolarship Continuation eligibility: Above merit scholarship is only for 1st Year. For continuation of the same in subsequent year, student has to maintain CGPA >= 6.5
- 4. EAB Scholarship is given in addion to the merit scholarship.
- 5. To avail scholarship, student must deposit applicable semester fee before the cut-off date for scholarship. If student fail to do so, his/her eligibiity for availing scholarship will be cancelled.
- 6. Also, to avail merit scholarship, student has to submit supporting documents in original along with 1 set of photocopies.
Why Join
Unlock your potential with a degree in Artificial Intelligence
Unmatched Career Growth
AI and ML is currently the highest-paying and fastest-growing sector globally. There is a massive shortage of qualified AI engineers.
Advanced GPU Labs
We provide access to High-Performance Computing (HPC) labs equipped with advanced GPUs necessary for training deep neural networks.
Build Live AI Products
Students don't just learn theory; they build actual predictive models, computer vision apps, and NLP chatbots from their third year.
AI Startup Incubation
Our on-campus technology incubation center provides mentorship and seed funding for students wanting to launch their own AI startups.
6-Month Corporate Internship
The final 8th semester is completely dedicated to an industrial internship, ensuring you graduate with 6 months of corporate AI experience.
Features
Setting us apart from the rest
Mathematical Rigor
Deep focus on the mathematics behind AI—including Linear Algebra and Multivariable Calculus—not just copying code.
Cloud AI Integration
Learn beyond standard programming. We run special modules on Cloud Computing specifically for deploying AI models (AWS SageMaker).
Kaggle & Hackathon Culture
Frequent hackathons and Kaggle/DataCamp competitions organized internally to build a fierce problem-solving culture.
Premium Tech Placements
A highly active placement cell that brings top tech MNCs and funded AI startups directly to the campus for hiring.
Apply
Simple 5-step process to join the B.Tech AI & ML programme
Guide to Register Online
Register Yourself
Create your account on the portal with your basic personal details.
1 of 5 steps
Register Yourself
Create your account on the portal with your basic personal details.
FAQ
Everything you need to know about the B.Tech AI & ML programme
Engineers in Global Tech Giants
Outstanding placements across Silicon Valley MNCs, IT Services, and Core Engineering firms
MNC & Tech Tie Up's
Our AI Engineers Speak
It has been a great journey as a student of Career Point University, as coming up wity great opportunities and exprouser. I was a average student to start with then the faculty help me the some certifications and extra course so there i pursued 7 courses. I start learning more & exploring more in dara science than after some assistance of faculty and internet resources I crack the test and interview or celebal technology as a post of associate Data Scientist.
Career Point University provides a great exposure to students by organizing different activities and training which has helped all students. The atmosphere is full of motivation and innovation. It is all because of the efforts put by our faculty and training and placement department which always makes sure that students get placed in the best company in the market. My confidence has been boosted after coming here. I am really thankful to Career Point University for providing a platform to enhance my career.
