What is the academic environment in general at GKCIET Malda?

The overall academic ecosystem is at a nascent stage in technical education and might be inclined toward skill development at GKCIET Malda. The syllabus is framed as per AICTE recommendations; affiliated university faculties like MAKAUT will update the curriculum as per industry requirements. The environment is student-centric through regular assignments, lab practicals, and an internal assessment system so that the student grows with an incredible learning foundation of engineering principles. The institute also motivates students to participate in technical workshops, seminars, and technical fests, which indeed inculcate experiential learning beyond mere textbooks.

What companies visit for placements, and what should students expect from the same?

Being one of the younger institutes, the Training and Placement Cell of the institute has worked hard to attract trying to bring companies to the campus for recruitment. The opportunities are moderate yet consistent, mainly for Computer Science and Electrical Engineering streams. Companies that have offered campus placements so far include some regional companies, some government organizations, and some private companies towards core engineering and IT support. The median offer lies around INR 2 LPA to INR 3 LPA.

Is GKCIET Malda a good choice for engineering students of West Bengal and nearby states?

GKCIET Malda can be considered for those students searching for affordable technical education with government backing, and with some kind of inclination towards rural development. It is most suitable for candidates from West Bengal, Bihar, Jharkhand, and nearby states who are either not conversant with any private colleges or who prefer public institutes with subsidised fees. The ambience is nice, and a self-driven student will receive good exposure to the opportunities available therein. The value of GKCIET is restored where the candidate is seeking a low-cost recognised B.Tech or Diploma experience.

What are some of the advantages of studying at an institute such as GKCIET Malda?

Having a subsidised fee structure is one advantage that the centrally funded institutes like GKCIET provide. This could be one big opportunity for a student from a modest background. Further, having funding from the Ministry of Education provides some credibility and scope for development in the future.

Can students cope with academics and internships at GKCIET Malda?

It is all about excellent time management and a balance between academics and an internship. Placement Cell provides students with internships in industry during summer and winter. Students may also opt for off-campus internships for better exposure.

Which branches have better placement trends at GKCIET Malda?

Students from B.Tech department are selected for IT services, programming positions, and technical support jobs. Mainstream branches such as Mechanical and Civil Engineering may have relatively fewer campus offers, but some students get placements at infrastructure, plant maintenance, or design-based companies. The placement trends vary branch-wise depending on the industry's demand and expertise of the allocated batch, so students need to work hard to upgrade their profile by undergoing internships and certificate courses.

Does the GKCIET Malda have a Training and Placement Cell (TPC)?

Yes. There is a Training and Placement Cell (TPC) at GKCIET Malda, actively involved in all activities that concern placement. The TPC acts as a facilitator between students and recruiting companies in terms of organizing campus interviews and job-oriented workshops, and training in soft skills, resume building, and aptitude preparation. Being in constant contact with the industry, the TPC invites companies for placement drives. Still, students must take appropriate initiatives themselves, together with the TPCs efforts, like preparing for different competitive exams, making LinkedIn profiles, and meeting the alumni, to enhance their selection prospects.

Are any placement preparation or training programmes offered in the college?

Yes, GKCIET Malda arranges training sessions at regular intervals, usually during the pre-final and final years. These programmes are, in general, a preparation for soft skills development, group discussion, aptitude tests, interviews, and resume-building workshops.

GKCIET JEE-Main Cutoff 2025: Check Expected Cutoff rank

The Official JEE-Main Cutoff 2025 for GKCIET has not been released yet. However, students can refer to the expected JEE-Main 2025 cutoff for GKCIET, which is based on the trends observed in previous years cutoff.

GKCIET JEE-Main Cutoff 2025 (Category Wise)

GKCIET JEE-Main 2025 Expected Cutoff for General (OS Quota) Category ranges between 37108 - 603577. For Round 1, GKCIET JEE-Main 2025 is expected to be 37108-76585.

Category	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
General	37108-76585	37108-603577
OBCNCL	11949-27538	11949-539445
SC	6956-13448	6956-420608
ST	1499-5829	1499-663365
EWS	6666-13779	6666-517882

GKCIET JEE-Main 2025 Expected Cutoff for General (HS Quota) Category ranges between 96663 - 775229. For Round 1, GKCIET JEE-Main 2025 is expected to be 96663-192416.

Category	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
General	96663-192416	96663-775229
OBCNCL	39974-108451	39974-415674
SC	11818-29259	11818-253708
ST	4177-7155	4177-625520
EWS	16693-55347	16693-430429

GKCIET JEE-Main 2025 Expected Cutoff for General (AI Quota) Category ranges between 6354 - 1060390. For Round 1, GKCIET JEE-Main 2025 is expected to be 6354-18672.

Category	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
General	6354-18672	6354-1060390
OBCNCL	-	132331-738567
SC	-	200681-1010320
ST	-	349298-729986
EWS	-	120005-334798

Also Check:

GKCIET JEE-Main Cutoff 2024

GKCIET Fees 2025

GKCIET JEE-Main Cutoff 2025 (Course Wise)

GKCIET JEE-Main Cutoff 2025 for General Category (OS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (General Category) for OS Quota expected to fall in the range between 37108-111444, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for General OS Category with expected range of 42919-334798. You can check course wise expected JEE-Main 2025 cutoff for General Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	37108-42723	37108-111444
B.Tech Electrical Engineering	42919-65307	42919-334798
B.Tech Mechanical Engineering	44418-68405	44418-207677
B.Tech Civil & Enviromental Engineering	56640-72367	56640-260700
B.Tech Food Technology	51190-76585	51190-603577

GKCIET JEE-Main Cutoff 2025 for General Category (HS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (General Category) for HS Quota expected to fall in the range between 96663-256561, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for General HS Category with expected range of 100251-704073. You can check course wise expected JEE-Main 2025 cutoff for General Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	96663-97428	96663-256561
B.Tech Electrical Engineering	100251-157168	100251-704073
B.Tech Mechanical Engineering	119169-159700	119169-717163
B.Tech Civil & Enviromental Engineering	118888-164308	118888-775229
B.Tech Food Technology	135311-192416	135311-527382

GKCIET JEE-Main Cutoff 2025 for General Category (AI)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (General Category) for AI Quota expected to fall in the range between 6354-6354, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for General AI Category with expected range of 10378-275456. You can check course wise expected JEE-Main 2025 cutoff for General Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	6354-6354	6354-6354
B.Tech Electrical Engineering	10378-10378	10378-275456
B.Tech Mechanical Engineering	13292-13292	13292-1060390
B.Tech Civil & Enviromental Engineering	18672-18672	18672-1010320
B.Tech Food Technology	17179-17179	17179-738567

GKCIET JEE-Main Cutoff 2025 for OBCNCL Category (OS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (OBCNCL Category) for OS Quota expected to fall in the range between 11949-163812, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for OBCNCL OS Category with expected range of 14505-245890. You can check course wise expected JEE-Main 2025 cutoff for OBCNCL Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	11949-16768	11949-163812
B.Tech Electrical Engineering	14505-22331	14505-245890
B.Tech Mechanical Engineering	14786-24032	14786-312770
B.Tech Civil & Enviromental Engineering	20602-25417	20602-539445
B.Tech Food Technology	16377-27538	16377-36947

GKCIET JEE-Main Cutoff 2025 for OBCNCL Category (HS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (OBCNCL Category) for HS Quota expected to fall in the range between 39974-415674, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for OBCNCL HS Category with expected range of 53071-263972. You can check course wise expected JEE-Main 2025 cutoff for OBCNCL Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	39974-55801	39974-415674
B.Tech Electrical Engineering	53071-89989	53071-263972
B.Tech Mechanical Engineering	55997-85257	55997-247523
B.Tech Civil & Enviromental Engineering	52610-99764	52610-291815
B.Tech Food Technology	62613-108451	62613-354709

GKCIET JEE-Main Cutoff 2025 for OBCNCL Category (AI)

B.Tech Electrical Engineering Cutoff for JEE-Main (OBCNCL Category) for AI Quota expected to fall in the range between 214042-214042, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Mechanical Engineering is expected to be the second most preferred course for OBCNCL AI Category with expected range of 270913-270913. You can check course wise expected JEE-Main 2025 cutoff for OBCNCL Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Electrical Engineering	-	214042-214042
B.Tech Mechanical Engineering	-	270913-270913
B.Tech Civil & Enviromental Engineering	-	342765-342765
B.Tech Food Technology	-	738567-738567
B.Tech Artificial Intelligence and Machine Learning	-	132331-132331

GKCIET JEE-Main Cutoff 2025 for SC Category (OS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (SC Category) for OS Quota expected to fall in the range between 6956-298494, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for SC OS Category with expected range of 7645-415218. You can check course wise expected JEE-Main 2025 cutoff for SC Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	6956-7625	6956-298494
B.Tech Electrical Engineering	7645-11946	7645-415218
B.Tech Mechanical Engineering	7207-11860	7207-420608
B.Tech Civil & Enviromental Engineering	9241-12056	9241-378149
B.Tech Food Technology	9194-13448	9194-16811

GKCIET JEE-Main Cutoff 2025 for SC Category (HS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (SC Category) for HS Quota expected to fall in the range between 11818-253708, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for SC HS Category with expected range of 16662-47791. You can check course wise expected JEE-Main 2025 cutoff for SC Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	11818-17962	11818-253708
B.Tech Electrical Engineering	16662-25337	16662-47791
B.Tech Mechanical Engineering	14759-26881	14759-51170
B.Tech Civil & Enviromental Engineering	19248-19867	19248-37297
B.Tech Food Technology	20803-29259	20803-65550

GKCIET JEE-Main Cutoff 2025 for SC Category (AI)

B.Tech Electrical Engineering Cutoff for JEE-Main (SC Category) for AI Quota expected to fall in the range between 382870-627199, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Mechanical Engineering is expected to be the second most preferred course for SC AI Category with expected range of 406443-406443. You can check course wise expected JEE-Main 2025 cutoff for SC Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Electrical Engineering	-	382870-627199
B.Tech Mechanical Engineering	-	406443-406443
B.Tech Civil & Enviromental Engineering	-	346461-346461
B.Tech Food Technology	-	1010320-1010320
B.Tech Artificial Intelligence and Machine Learning	-	200681-200681

GKCIET JEE-Main Cutoff 2025 for ST Category (OS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (ST Category) for OS Quota expected to fall in the range between 1499-607799, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for ST OS Category with expected range of 3484-6208. You can check course wise expected JEE-Main 2025 cutoff for ST Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	1499-3483	1499-607799
B.Tech Electrical Engineering	3484-4956	3484-6208
B.Tech Mechanical Engineering	4048-5215	4048-663365
B.Tech Civil & Enviromental Engineering	4398-5793	4398-7195
B.Tech Food Technology	4266-5829	4266-7768

GKCIET JEE-Main Cutoff 2025 for ST Category (HS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (ST Category) for HS Quota expected to fall in the range between 4177-625520, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for ST HS Category with expected range of 4828-10962. You can check course wise expected JEE-Main 2025 cutoff for ST Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	4177-5700	4177-625520
B.Tech Electrical Engineering	4828-6301	4828-10962
B.Tech Mechanical Engineering	5027-6458	5027-10035
B.Tech Civil & Enviromental Engineering	4768-6246	4768-8859
B.Tech Food Technology	5395-7155	5395-11734

GKCIET JEE-Main Cutoff 2025 for ST Category (AI)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (ST Category) for AI Quota expected to fall in the range between 349298-573086, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for ST AI Category with expected range of 729986-729986. You can check course wise expected JEE-Main 2025 cutoff for ST Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	-	349298-573086
B.Tech Electrical Engineering	-	729986-729986
B.Tech Mechanical Engineering	-	656857-656857
B.Tech Civil & Enviromental Engineering	-	627301-627301

GKCIET JEE-Main Cutoff 2025 for EWS Category (OS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (EWS Category) for OS Quota expected to fall in the range between 6666-145739, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for EWS OS Category with expected range of 7557-224552. You can check course wise expected JEE-Main 2025 cutoff for EWS Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	6666-7424	6666-145739
B.Tech Electrical Engineering	7557-10787	7557-224552
B.Tech Mechanical Engineering	7717-11549	7717-244212
B.Tech Civil & Enviromental Engineering	10301-12598	10301-517882
B.Tech Food Technology	8675-13779	8675-17913

GKCIET JEE-Main Cutoff 2025 for EWS Category (HS)

B.Tech Artificial Intelligence and Machine Learning Cutoff for JEE-Main (EWS Category) for HS Quota expected to fall in the range between 16693-430429, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Electrical Engineering is expected to be the second most preferred course for EWS HS Category with expected range of 20185-78359. You can check course wise expected JEE-Main 2025 cutoff for EWS Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Artificial Intelligence and Machine Learning	16693-17542	16693-430429
B.Tech Electrical Engineering	20185-31282	20185-78359
B.Tech Mechanical Engineering	20399-30945	20399-73222
B.Tech Civil & Enviromental Engineering	22653-35955	22653-79675
B.Tech Food Technology	26571-55347	26571-90855

GKCIET JEE-Main Cutoff 2025 for EWS Category (AI)

B.Tech Electrical Engineering Cutoff for JEE-Main (EWS Category) for AI Quota expected to fall in the range between 201066-201066, which makes it the most in-demand course for GKCIET. Furthermore,B.Tech Mechanical Engineering is expected to be the second most preferred course for EWS AI Category with expected range of 243912-243912. You can check course wise expected JEE-Main 2025 cutoff for EWS Category in below table:

Course	Round 1 Closing rank (Expected Range)	Closing rank (Expected Range)
B.Tech Electrical Engineering	-	201066-201066
B.Tech Mechanical Engineering	-	243912-243912
B.Tech Civil & Enviromental Engineering	-	334798-334798
B.Tech Artificial Intelligence and Machine Learning	-	120005-120005