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
Placement Review Icon

2.0Star Icon

Placements
Infrastructure Review Icon

3.5Star Icon

Infrastructure
Faculty Review Icon

3.0Star Icon

Faculty & Course
Campus Life Review Icon

3.0Star Icon

Campus Life
Value for Money Review Icon

3.5Star Icon

Value for Money
S
Samirul Verified Icon
B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) - Batch of 2027
2.8
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
3.2
GKCIET is a peaceful and green campus with decent academics and supportive faculty.
Placements: From B.Tech, 80 percent 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 percent 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 percent 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)
Table of contents
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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)
 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.

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

Stories
  • 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 IconPlacements2.0
Infrastructure Review IconInfrastructure3.5
Faculty Review IconFaculty & Course3.0
Crowd Review IconCampus Life3.0
Money Review IconValue for Money3.5

Download exam sample paper

JEE Main
WBJEE

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
SC
ST
Requirements for 12th gradeUp Arrow Icon
  • 75%
Other eligibility criteriaUp Arrow Icon

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

    Important Dates

    ALL
    JEE MAIN
    WBJEE
    Jun 29, 2026
    WBJEE 2026 counselling

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

    Filter Icon3
    Gender
    Down Arrow Icon
    Quota
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    Category
    Down Arrow Icon
    JEE Main round-wise cutoff Rank: (General-All India)
    Round202420252026
    1427234650847890
    24876850811-
    35008355618-
    45008357462-
    55482658331-
    68347460012-
    711823294801-
    8-109376-
    9-120457-
    JEE Main round-wise cutoff Rank: (General-Home State)
    Round202420252026
    196663110055120354
    2134424119572-
    3135197129898-
    4138065133934-
    5148356133934-
    6277119147447-
    7462409262086-
    8-463708-
    9-520954-
    JEE Main round-wise cutoff Rank: (OBC-All India)
    Round202420252026
    1167681772219386
    21921219643-
    31972719737-
    41985219737-
    51987219946-
    611491621626-
    7155565126654-
    8-159756-
    9-201537-
    JEE Main round-wise cutoff Rank: (OBC-Home State)
    Round202420252026
    1558016675060148
    27123771149-
    38705186553-
    49613588174-
    59902188174-
    649958497598-
    7556529596905-
    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 a year 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

    ...Read more

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    Kapil Lalwani

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