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Galgotias University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 
at Galgotias University, Greater Noida

Star Icon3.9 /5
Comment Icon2 Student Q&A
  • A+ NAAC accredited
  • Private University
  • Estd. 2011

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Overview

Total Tuition Fees

₹6.16 Lakh
Get Fees details

Duration

4 years
Get Curriculum

Course Level

UG Degree

Mode of Course

Full Time

Average package

5.25 Lakh

Official Website

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Type of University

Private
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Fees

Fee componentsAmount (4 years)
₹ 6.16 Lakh
₹ 5.04 Lakh
₹ 11.20 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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Video stories

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  • Placements
  • Hostel Life

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Rankings

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Curriculum

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Students Ratings & Reviews

3.9/5
Verified Icon87 Verified ReviewsInfo Icon
Placement Review IconPlacements3.9
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course3.9
Crowd Review IconCampus Life4.1
Money Review IconValue for Money3.8
What students say about Galgotias University
Placements
Infrastructure
Faculty
Other
LikesView All
Many big companies such as TCS, Wipro, and Cognizant visit campus to provide placements for students according to their skills.
Based on 20 Reviews
N
Nikesh Kumar Gupta Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.2
3Placements4Infrastructure3Faculty3Crowd & Campus Life3Value for Money
Great infrastructure, faculty, but long commute, huge crowd, and convenient class timings.
Placements: In my course, around 60 percent of students are placed mainly through mass hiring drives. The average package offered is around 4 LPA–5 LPA while the highest package reached nearly 40 LPA this year. Internship opportunities are comparatively lower with only about 20–25 percent of students securing internships across a few companies. Most placements are for entry-level technical and software roles.
Infrastructure: The infrastructure is excellent and one of the best in the city. There are modern Wi-Fi-enabled labs, well-equipped classrooms, and a great library. Hostel facilities are good, with clean rooms, decent mess and canteen food. Medical support, and sports facilities available for students.
Faculty: The faculty is supportive and highly qualified with many holding PhDs. The curriculum is mostly relevant to industry needs, though a few unnecessary subjects are included. Semester exams are moderate in difficulty and mainly focus on core topics making the pass rate generally good.
Other: I chose this course due to my strong interest in tech. The course is good, but it can be improved especially by teaching DSA in Java or C++ instead of C. The college hosts many events and extracurricular activities but the large crowd can be overwhelming. The campus is around 15 km from the city, so commuting becomes costly and tiring at times.
Reviewed on 28 Nov 2025Read More
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A
Amit Yadav Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4
4Placements5Infrastructure4Faculty3Crowd & Campus Life4Value for Money
Average faculty and relevant curriculum.
Placements: Around 70-80% students are placed, with packages ranging from 3 to 10 LPA from mass recruiters and a few higher offers from top firms. Major recruiters offer software developer, analyst, and engineering roles, and many students get internships in similar companies.
Infrastructure: The facilities and infrastructure available in our course and department are well-developed to support both academic and practical learning. The entire campus is Wi-Fi enabled, allowing students to access online study materials, e-resources, and digital platforms without interruption. The department has modern, fully equipped laboratories that provide hands-on experience with up-to-date instruments and software relevant to the curriculum. Classrooms are spacious, well-ventilated, and fitted with projectors and smart boards to ensure interactive learning. The central library is one of the major strengths of the institution, offering a large collection of textbooks, reference books, journals, e-books, and digital learning resources.
Faculty: Teachers are helpful, approachable, and subject experts, so overall teaching quality is strong. The curriculum is updated with industry-focused skills and electives that improve employability. Exams are moderate with around 40-50% pass marks. All is good.
Reviewed on 26 Nov 2025Read More
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N
Neeraj baghel Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.6
5Placements4Infrastructure4Faculty5Crowd & Campus Life5Value for Money
College is a well-structured, neat and clean environment. Support students in their startup.
Placements: I have not seen placement yet because I am in 1st year, but as a senior told me, the placement is really fine, and the return on investment ratio is good. Like 95% of students are placed almost 99%. Top recruiting companies are TCS, Deloitte and many more. The software engineer role is mostly offered at our university.
Infrastructure: Infrastructure is really well structured. Everything is well structured here and accurate, and the main factor is that the university is time-punctual. All the facilities available here in the university, like in labs, we can go to the robotics lab, the 3d printer lab and many more labs we can explore in the university. The quality of facilities is, in actuality, very premium and modernisable.
Faculty: Faculty is fine and decent, which means like above average. Teachers are helpful after the lecture, and in the lecture, they help us to overcome our doubts. So, according to me, the faculty has no big issue. There is no problem with the faculty. The course is curriculum-relevant according to the modern era of AI because the university works on the basics, then goes on to advance in the curriculum. So the course curriculum is also above average.
Reviewed on 25 Nov 2025Read More
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P
Pulkit Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Impressive infrastructure, education-friendly environment.
Placements: Placements are very good. University offers that 900+ companies visited university in 2025 placement cycle and about 4000+ students have their offer letters. Average package is around 5 LPA and the highest package is 39 LPA. University placement cell is also good.
Infrastructure: Wi-Fi enabled campus, modern classrooms, well-equipped labs with modern technology. University provides sports equipment and ground. There are multiple clubs that organise different types of sports activities. University also organise sports events.
Faculty: Teachers are responsible, helping, and knowledgeable. There are trainee faculty who do their job with immense dedication. Semester exams are moderate and you can easily pass them. Passing percentage is 40 percent. You should score 80 out of 200 to pass the exam.
Other: In the modern era, artificial intelligence is going on a different way. AI and ML is the safest option for our upcoming future. Foreign companies are demanding AI and robotics for future development.
Reviewed on 25 Oct 2025Read More
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S
Sumit Kumar Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4
4Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
College is good. If you are disciplined and passionate, you will get placed.
Placements: About 60 - 70% students are placed. Actually, the student who actually wants to study and study for the placement and all they got placed, but if you think you can get placed without studying, then you will not. JP Morgan recently visited our campus, and students got placed for 19-20 LPA for Software engineering roles and AI engineer. Companies like Wipro and TCS give around 3-6 LPA according to your skills.
Infrastructure: 27/7 full Wi-Fi, library, and you will get Wi-Fi everywhere on campus and in classes, you will get an electric board at every table where you can charge your laptop. Facilities are good in the hostel, but the thing is that our campus is in an out-of-town area where you will not get a nice market area, except that everything is okay.
Faculty: Teachers are well-qualified. You have to find the best teacher from whom you can take help. Connect to teachers, talk to them, and they will help with your projects and even with academics. The course curriculum is relevant. They give a syllabus that will help you in future. The college exam level is average, not very easy and not too tough. You can cover the syllabus before 2 weeks of the end term and get an 8-9 CGPA easily.
Other: As everyone knows, AI is a thing that, if you don't know, then AI will take your place. It's that if we use AI, integrate it in your field, that's the best thing. AI will not be capable of taking your job if you are using it to enhance your work. Many events and fests are being organised on our campus.
Reviewed on 5 Oct 2025Read More
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View All 96 ReviewsRight Arrow Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
 
Frequently Asked Questions

Q:   What is the fees for the BTech course at Galgotias University?
A: 

The total tuition fee for the BTech course at Galgotias University ranges from INR 1.40 lakh to INR 6 lakh. The duration of the course is between 3-5 years. The university usually conducts GEEE to shortlist candidates for the BTech programme. Candidates who have passed UPSEE/ JEE Main can also apply. Find below the eligibility and selection criteria for BTech courses:

  • Selection criteria: Merit-based
  • Eligibility for BTech/ BTech (Hons): A pass in Class 12 with a minimum of 60% aggregate in Physics/ Chemistry/ Mathematics.
  • Eligibility for BTech in Agriculture Engineering: A pass in Class 12 in PCM/ PCB with at least 60% aggregate.
View other answers
Q:   Is Galgotias University good for BTech placements?
A: 

BTech is the most sought out after course of Galgotias University. When it comes to the placements, the institute offers decent placements annually. The key highlights of Galgotias University placements for the overall Class of 2025 are tabulated below:

Particulars

Placement Statistics (2025)

the highest package

INR 39 LPA

Average package

INR 5.25 LPA

Total recruiters

900+

Total offers

4,000+

Top recruiters

Commvault, Amazon, Accenture, Cognizant

AskShikshaGPT on App
Q:   What are the essential qualifications for admission to BTech course at Galgotias University?
A: 

For Galgotias University B.Tech admission, the minimum eligibility criteria are to pass Class 12 with a minimum aggregate of 50 to 60%. Also, Galgotias University conducts its own entrance exam called Galgotias Engineering Entrance Examination (GEEE) for admission to the BTech course. 

View other answers
Q:   Is BTech available at Galgotias University?
A: 

Yes, Galgotias University offers a four-year full-time BTech programme across four specialisations and various sub-specialisations. Candidates seeking admission to the BTech programme at Galgotias University must have passed class 12 with a minimum of 50% marks in Physics, Chemistry and Mathematics.

Galgotias University inducts candidates to the BTech programme through merit or entrance exam. For admission through the entrance exam, candidates should have a valid score in JEE-Main or CUET based on which they will be selected for further admission round.

Also, for admission through class 12 marks, candidates must have the required aggregate and subject-wise marks as specified in the university’s prospectus based on which they will be selected and will have to report to the admission cell at Galgotias University for document verification leading to final seat allotment.

View other answers

Download exam sample paper

CUET
Want to know more about Galgotias University Scholarship details?
Read about Scholarship

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Placements

ParticularsStatistics (2025)
Average Salary 5.25 Lakh
Highest Salary 39.00 Lakh
Lock IconTop Recruiters for Galgotias University
alcatel
Amazon.com
American Express
Aon Hewitt
Axis Bank
Cognizant
Cvent
Ebix
Ericsson India
HCL
HDFC Bank
HDFC Life
Hettich India Pvt. Ltd.
IDBI Bank
IndusInd Bank
Infosys
ITC Ltd.
Jeevansaathi
just dial
KONE
Naukri Com
RBS (Royal Bank of Scotland)
Reliance
SafeNet Infotech
Safexpress
Saint Gobain
SYNTEL
Tech Mahindra
Vivo Mobile
Wipro
YesBank
View placement details

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 60%
  • Mandatory Subjects : Chemistry, Mathematics, Physics
Other eligibility criteriaUp Arrow Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Admission Process

  • Counselling

Important Dates

ALL
COURSE
CUET
Mar 1 - 24, 2026
CUET 2026 Application ProcessTentative
May 15 - Jun 3, 2026
CUET 2026 ExamTentative
Jul 4, 2026
CUET UG 2026 ResultTentative

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Cutoffs

Filter Icon3
GenderDown Arrow Icon
QuotaDown Arrow Icon
CategoryDown Arrow Icon
UPCAT round-wise cutoff Rank: (General-All India)
Round2020
15912
26238
35912
46743
56743
UPCAT round-wise cutoff Rank: (General-Home State)
Round2020
18282
28636
38636
49554
571770
UPCAT round-wise cutoff Rank: (OBC-All India)
Round2020
112660
212660
312660
412699
56743
UPCAT round-wise cutoff Rank: (OBC-Home State)
Round2020
1-
28636
38636
49554
View Cutoff Details

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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 

Student Forum

chatAnything you would want to ask experts?
Write here...

What are the reviews of CS placements and which companies comes for placements?

Answered 4 years ago

If you are looking for placements than Quantum University Roorkee is good at it. More than 100 international companies visit campus each year. Internship are provided by University and regular industrial visit provided to students.Fee is affordable here and 100% scholarship is given to students who

...Read more

S

Shakti Raj

Beginner-Level 5

How is the college overall with hostel and what is with the specialization programs and it is good to take it or not ?

Answered 8 years ago

The hostel facilities are good. The bad part is that it is inside the campus which is 15 km away from the mail town. It has a vast verity of specialization courses which you can easily find on the website.

6961288
Shourya Garg

Contributor-Level 8

Content authored by:

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Jagriti Shukla
Home Icon/Colleges in Greater Noida/Galgotias University/Courses/B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Contact Information

Address

Plot No.2, Sector 17-A,
Yamuna Expressway, Opposite Buddha International Circuit, Gautam Buddh Nagar

Greater Noida ( Uttar Pradesh)

Go to College Website ->