Ghani Khan Choudhury Institute of Engineering and Technology
Ghani Khan Choudhury Institute of Engineering and Technology Logo

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) 

  • Public/Government Institute
  • Estd. 2010

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Overview

Total Tuition Fees

1.30 Lakh
Get Fees details

Duration

4 years

Course Level

UG Degree

Mode of Course

Full Time

Seat breakup

41

Type of University

Public/Government
B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
Table of content
Accordion Icon V3
  • Overview
  • Fees
  • Student Reviews
  • Placements
  • Entry Requirements
  • + 2 more items

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Fees

Fee componentsAmount (4 years)
1.30 Lakh
1.73 Lakh
15,510
3.18 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.

Video stories

Accordion Icon V3
  • Eligibility & Cut Offs

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Students Ratings & Reviews

3/5
Verified Icon2 Verified ReviewsInfo Icon
Placement Review IconPlacements2
Infrastructure Review IconInfrastructure3.5
Faculty Review IconFaculty & Course3
Crowd Review IconCampus Life3
Money Review IconValue for Money3.5
S
Samirul Verified Icon
B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) - Batch of 2027
Offered by Ghani Khan Choudhury Institute of Engineering and Technology
2.8
2Placements3Infrastructure3Faculty3Crowd & Campus Life3Value for Money
One of its advantages is it has good connectivity. Malda Town railway station is just 8 KM away.
Placements: My college's first batch graduated in 2021, so placements are still developing. Few companies visit, but the training and placement cell is active. Students often rely on off-campus opportunities. The college is improving steadily, and with time, the placement scenario is expected to get better. Overall, it's an average experience.
Infrastructure: Our college has two hostels, i.e., SV Hall, which is for first-year students and girls, and SC Bose Hall, which accommodates the rest of students. The college campus is quite good. Overall, the experience has been average to good. The hostel is good.
Faculty: Faculty members are average to good. They are generally helpful and supportive, especially when students show interest in learning. While some teachers are highly knowledgeable and dedicated, others are more basic in their approach. Overall, the teaching quality is decent and improving as the college continues to grow.
Other: The campus is in the village area.
Reviewed on 15 Jun 2025Read More
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P
Priyanshu Kumar Singh Verified Icon
B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) - Batch of 2028
Offered by Ghani Khan Choudhury Institute of Engineering and Technology
3.2
2Placements4Infrastructure3Faculty3Crowd & Campus Life4Value for Money
GKCIET is a peaceful and green campus with decent academics and supportive faculty.
Placements: From B.Tech, 80% of students got placed in the 2024-25 academic year. The highest package is 31 LPA, the lowest is 2.5 LPA, and the average package is 12 LPA. The top recruiting companies are TCS, Wipro, Tech Mahindra, Tata, etc. Approximately 70% of students get internships from different companies like Tata, BHEL, Damodar Valley Corporation, etc. Top roles offered are software developer, junior engineer, project engineer, data analyst, production engineer, etc.
Infrastructure: GKCIET has decent facilities for B.Tech. The campus has 24/7 Wi-Fi, and the computer labs are well-equipped with updated systems and software. The library is good too, with around 9,000 volumes, but it is open till 5:00 PM only, which makes no sense as we are having classes the whole day and a strict 75% rule. The overall campus is clean, green, and includes sports facilities and a health center for students, as well as an ambulance. The hostel mess serves breakfast, lunch, evening snacks, and dinner with good hygiene and variety, but the quality of the food is very average.
Faculty: The faculty at GKCIET are well-qualified and supportive. Most teachers are helpful and have good subject knowledge, especially in core subjects. The course curriculum is quite relevant and regularly updated to match industry needs. The teaching quality is decent, with both theory and practical focus. The curriculum includes lab work, projects, and internships, which help make students industry-ready. The semester exams are moderately difficult but manageable with regular study. The pass percentage is around 40%. Overall, the academic structure prepares students well for jobs and higher studies in their respective fields.
Other: I chose this course because I have a strong interest in technology and problem solving. The best part of the course is the practical exposure through labs, projects, and internships. However, more advanced coding workshops and industry tie-ups would make it better. The campus is peaceful, green, and fully residential. Events like tech fests and cultural programs happen every year. The crowd is friendly and helpful. Connectivity to the campus is decent but can improve. Scholarships are available for eligible students. There are also opportunities for extracurricular activities like sports, NSS, NCC, and student clubs.
Reviewed on 26 Jun 2025Read More
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B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
 
Frequently Asked Questions

Q:   How much rank should I score to get a seat in Ghani Khan Choudhury Institute of Engineering and Technology?
ShikshaGPT says
A: 

Ghani Khan Choudhury Institute of Engineering and Technology Cutoff 2025 for the Round 1 seat allotment results has been released by the institute, based on candidates' performance in JEE Main. As per the Round 1 cutoff data, the closing cutoff for various courses ranged between 46508 and 77926 for the General AI category candidates. The toughest course out of all was BTech in Computer Science and Engineering, with the last-round closing rank of 46508, for the General AI category candidates. The least competitive course is B.Tech. in Civil and Environmental Engineering for the General AI category. Check out the courses available under this rank from the table below:

Course2025
B.Tech. in Electrical Engineering62191
B.Tech. in Mechanical Engineering73595
B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)46508
B.Tech. in Civil and Environmental Engineering77926
AskShikshaGPT on App
Q:   Does Ghani Khan Choudhury Institute of Engineering and Technology provide good placement facilities?
ShikshaGPT says
A: 
Ghani Khan Choudhury Institute of Engineering and Technology has been rated 3.7 on placements.
AskShikshaGPT on App
Q:   Which courses does Ghani Khan Choudhury Institute of Engineering and Technology offer to students?
ShikshaGPT says
A: 
Ghani Khan Choudhury Institute of Engineering and Technology has courses such as After 1th Diploma, B.Tech to offer. These courses are in the stream of Engineering. Ghani Khan Choudhury Institute of Engineering and Technology offers specializations such as After 10th Diploma specializations in Civil Engineering, Computer Science Engineering, Electrical Engineering, Food Technology, Mechanical Engineering, B.Tech specializations in Computer Science Engineering, Electrical Engineering, Food Technology, Mechanical Engineering.
AskShikshaGPT on App
Q:   How is the faculty at Ghani Khan Choudhury Institute of Engineering and Technology?
ShikshaGPT says
A: 
Ghani Khan Choudhury Institute of Engineering and Technology has been rated 4.6 for faculty as per reviews by students. This shows that Institute has qualified and experienced faculty members.
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Download exam sample paper

WBJEE
JEE Main

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Placements

ParticularsStatistics (2022)
Median SalaryINR 2.40 Lakh
View placement details

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Entry Requirements

General
OBC
SC
ST
Requirements for 12th gradeUp Arrow Icon
  • 45%
Other eligibility criteriaUp Arrow Icon

B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
 at 
GKCIET 
Admission Process

    Important Dates

    ALL
    WBJEE
    JEE MAIN
    Oct 1 - 31, 2025
    JEE Main 2026 NotificationTentative
    Oct 1 - 31, 2025
    JEE Main 2026 Registration Session 1Tentative
    Jan 20, 2026
    JEE Main Admit Card 2025 Session 1Tentative

    B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
     at 
    GKCIET 
    Cutoffs

    Filter Icon3
    GenderDown Arrow Icon
    QuotaDown Arrow Icon
    CategoryDown Arrow Icon
    JEE Main round-wise cutoff Rank: (General-All India)
    Round202320242025
    1371084272346508
    2439194876850811
    3477535008355618
    4493625008357462
    5493625482658331
    6496288347460012
    78520711823294801
    8111444-109376
    9--120457
    JEE Main round-wise cutoff Rank: (General-Home State)
    Round202320242025
    19742896663110055
    2111488134424119572
    3119497135197129898
    4122648138065133934
    5122648148356133934
    6122648277119147447
    7206276462409262086
    8256561-463708
    9--520954
    JEE Main round-wise cutoff Rank: (OBC-All India)
    Round202320242025
    1119491676817722
    2169761921219643
    3175361972719737
    4175361985219737
    5175361987219946
    61815311491621626
    7114387155565126654
    8163812-159756
    9--201537
    JEE Main round-wise cutoff Rank: (OBC-Home State)
    Round202320242025
    1399745580166750
    2556887123771149
    3628958705186553
    4630369613588174
    5630369902188174
    66303649958497598
    7415674556529596905
    WBJEE round-wise cutoff Rank: (General-All India)
    Round2025
    18343
    212047
    WBJEE round-wise cutoff Rank: (OBC-Home State)
    Round2025
    117050
    223266
    View Cutoff Details

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    B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
     at 
    GKCIET 

    Student Forum

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    Answered 7 months ago

    The WBJEE 1st round cutoff rankings for CSE AI&ML follow different patterns based on both educational institutions and categories of students. The cutoff ranking for Computer Science Engineering applicants at UEM Kolkata in the general category stood at 8796. The SC category cutoff ranks at Kalyani

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    B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning)
     at 
    GKCIET 
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