

B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Offered by Greater Noida Institute of Technology
Affiliated to Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
Under GNIOT Group of Institutions
1. About the Course
The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a four-year undergraduate program designed to equip students with in-depth knowledge of intelligent systems, data-driven technologies, and advanced computing models.
This program integrates core computer science subjects with specialized studies in Artificial Intelligence, Machine Learning, data analytics, automation, and intelligent decision-making systems. Students gain both theoretical understanding and practical exposure to build intelligent applications that can analyze data, learn patterns, and make predictions.
The curriculum focuses on developing strong programming skills, analytical thinking, algorithmic reasoning, and problem-solving abilities, preparing students for careers in rapidly evolving AI-driven industries.
2. Course Eligibility
| Qualification | Eligibility Criteria |
|---|---|
| 10+2 Examination | Passed Intermediate from U.P. Board or equivalent recognized board |
| Mandatory Subjects | Physics and Mathematics |
| Optional Subject | Chemistry or Biology or Bio-Technology or Technical Vocational |
| Minimum Marks (General and OBC) | 45 percent aggregate without grace |
| Minimum Marks (SC and ST) | 40 percent aggregate without grace |
| Mode of Admission | JEE Main or UPSEE Counselling or Direct Admission as applicable |
3. Fee Structure (Session 2026–2027)
| Academic Year | Total Fee (INR) |
|---|---|
| First Year | 1,80,000 |
| Second Year | 1,75,000 |
| Third Year | 1,75,000 |
| Fourth Year | 1,75,000 |
Fee Break-up
| Fee Head | Amount (INR) |
|---|---|
| Tuition Fee (Per Year) | 91,370 |
| Registration Fee | 10,000 |
| Other Academic Fees | 73,630 |
| Security Deposit (One Time, Refundable) | 5,000 |
4. Admission Process
Admission to the B.Tech CSE Artificial Intelligence and Machine Learning program is carried out through:
JEE Main or UPSEE Counselling conducted by AKTU
Direct Admission based on eligibility and seat availability
Admission steps include document verification, fee submission, and confirmation of admission as per institute and university norms.
5. Infrastructure and Laboratories
Students are provided access to modern infrastructure including:
Advanced computer laboratories with updated hardware
AI and Machine Learning software tools and platforms
Programming and simulation environments
Smart classrooms and digital learning resources
These facilities ensure hands-on training and practical exposure in AI-based technologies.
6. Training and Placement Cell
The Training and Placement Cell supports students throughout their academic journey by offering:
Technical and domain-specific training
Aptitude and logical reasoning sessions
Coding practice and project guidance
Resume development and interview preparation
Internship support and industry interaction
7. Placement Highlights
| Placement Parameter | Details |
|---|---|
| Recruiters Associated | 400 plus companies |
| Highest Salary Offered | 70.00 LPA |
| Average Salary | 6.50 LPA |
| Placement Domains | Artificial Intelligence, Machine Learning, IT, Software and Analytics |
8. Career Scope
Graduates of B.Tech CSE Artificial Intelligence and Machine Learning can pursue careers as:
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
Software Developer
Automation Engineer
Research Analyst
AI Consultant
Students may also opt for higher studies such as M.Tech, MBA, MS, or advanced certifications in AI and data sciences.
9. Top Recruiters
Graduates are placed across leading organizations in technology and innovation sectors including:
IT and Software Companies
Artificial Intelligence and Analytics Firms
Consulting Organizations
Financial Technology Companies
Research and Development Organizations
Startups and Emerging Technology Enterprises
10. Why Choose B.Tech CSE Artificial Intelligence and Machine Learning at GNIOT
The program offers an industry-focused curriculum, practical learning environment, strong academic support, modern laboratories, and dedicated placement assistance, enabling students to build successful careers in AI-driven technologies.
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