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

  • A+ NAAC accredited
  • Private University
  • Estd. 2011
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Overview

Total Tuition Fees

6.56 Lakh
Get Fees details

Duration

Course Level

UG Degree

Mode of Course

Full Time

Average package

5.25 Lakh

Application Link

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Type of University

Private

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

Fee componentsAmount (4 years)
6.56 Lakh
6.40 Lakh
12.96 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
 
Frequently Asked Questions

Stories
  • Placements
  • Infrastructure
  • Campus Life
  • 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 Icon90 Verified ReviewsInfo Icon
Placement Review IconPlacements3.9
Infrastructure Review IconInfrastructure4.0
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
The top recruiting companies are Infosys, HCL, Cognizant, Amazon, and Byjus.
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
4.0
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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CUET
JEE Main
JEE Advanced
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Galgotias University 
Placements

ParticularsStatistics (2025)
Average SalaryINR 5.25 Lakh
Highest SalaryINR 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%
Other eligibility criteriaUp Arrow Icon

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

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Admissions Open! Apply Now

  • Counselling

Important Dates

ALL
COURSE
JEE ADVANCED
SAT INDIA
JEE MAIN
CUET
May 5 - 31, 2026
CUET UG 2026 Admit Card
May 11 - 31, 2026
CUET UG 2026 Exam
May 17, 2026
JEE Advanced 2026 Exam Date

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

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Gender
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Quota
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Category
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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...

Answered 5 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

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:

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 ->