Greater Noida Institute of Technology (GNIOT), Greater Noida

Greater Noida Institute of Technology (GNIOT), Greater Noida

Greater Noida , Uttar Pradesh
|
4.2 Ratings
|
Private|Estd. 2001|NAAC Grade A+

Written By Sneha Ramchandani

Updated on – 27 Dec, 2025

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

QualificationEligibility Criteria
10+2 ExaminationPassed Intermediate from U.P. Board or equivalent recognized board
Mandatory SubjectsPhysics and Mathematics
Optional SubjectChemistry 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 AdmissionJEE Main or UPSEE Counselling or Direct Admission as applicable

3. Fee Structure (Session 2026–2027)

Academic YearTotal Fee (INR)
First Year1,80,000
Second Year1,75,000
Third Year1,75,000
Fourth Year1,75,000

Fee Break-up

Fee HeadAmount (INR)
Tuition Fee (Per Year)91,370
Registration Fee10,000
Other Academic Fees73,630
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 ParameterDetails
Recruiters Associated400 plus companies
Highest Salary Offered70.00 LPA
Average Salary6.50 LPA
Placement DomainsArtificial 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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