B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.1 /5- A NAAC accredited
- Private Institute
- Estd. 2001
4.1
3.9
4.2
4.0
4.3
Z
Zeyaul Ali 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.4
This college is too good for someone who wants to work hard.
Placements: The percentage of students placed in our college is approximately 90 percent. The top recruiting companies are Amazon, TCS, Wipro, and many big companies. The highest package offered in my course was approximately 47 LPA in 2025 and the average package was 6 LPA to 7 LPA.
Infrastructure: The facilities and infrastructure of this college is well enough that you can get whatever you want, like all the labs facilities and the gym, library, sports club, and dance club are also there. The hostel facilities are also well-maintained, and the mess and the canteen food are too yummy.
Faculty: The teachers are very supportive and well-qualified, and the way they teach is very understandable. The semester exam is held every six months, where you have to be prepared for every subject because the level of this exam is a little bit tough, so you have to be ready.
Other: I chose this course because I'm totally interested in this field, so I want to make my career in AIML. I don't think that any improvement needs to be made in this course. The events and fests of this college are well organised, where you can have a lot of fun like dance, DJ, and many more things.
Reviewed on 21 Jan 2026Read More
S
Sumit Saha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.4
The college infrastructure is good.
Placements: Top recruiting companies are Infosys, TCS, Cognizant, Tech Mahindra, Capgemini, etc. 90% of students got placed from my course (AIML). In my course, the highest package is 12 LPA, the average is 5 LPA, and the lowest is 2.5 LPA. Top recruiting companies for AIML are Accenture, Cognizant, IBM, Infosys, TCS, Wipro, Tech Mahindra, Mphasis, JusPay, etc.
Infrastructure: College infrastructure is quite good, in classrooms there is enough space to study comfortably. In some classes there is a smart board and AC in every computer lab. For hangout, there is a nice pond and also a playground to play football, cricket, volleyball, etc. In this college, every year they organized many sports like running, long jump, inter-college cricket tournaments, football, and volleyball tournaments.
Faculty: Teachers are very helpful. They try their best to teach you everything. If you face any kind of problem regarding any academics they will help you. This course curriculum is very relevant. It makes students ready for the industry level. Semester exams are tough but if you study well then you can get easily above 8 CGPA per semester. The passing percentage is above 90%.
Reviewed on 9 Apr 2025Read More
H
Harsh Kumar Sinha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.2
Narula Institute of Technology honest review and analysis.
Placements: Placements in our college are good. Very popular companies also visit here to offer placements. Some of the major recruiters include TCS, Wipro, Tech Mahindra, Capgemini, Infosys, Cognizant, Accenture, etc. The average package offered by the companies here is 5 LPA, whereas the highest package was 27 LPA last year. Some students have also gotten placements in Amazon and Microsoft off-campus.
Infrastructure: The infrastructure of our college is also nice, but it is a bit small 10 acres. Overall, it has every facility like a library, cafeteria, ground, pondside, and labs with Wi-Fi. Classrooms are nice in size, accommodating almost 60 students at a time. Some classrooms have smartboards also. Hostels are also good, but they are not inside the college campus. There are two girls' hostels and one boys' hostel. The food in the hostel is also decent, as said by some of my friends.
Faculty: Teachers are very helpful and experts in their field and subject. They also give us suggestions for exams. They are knowledgeable and qualified, leading to an amazing teaching experience. The course curriculum is relevant to the field you have chosen and is updated every year. The course curriculum is decided by MAKAUT, the university with which our college is affiliated. The semester exams are not tough and are easy to score in if you have an overview of the subject. Almost 90% of students pass exams.
Reviewed on 25 Mar 2025Read More
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Rankings
- Student Reviews
- Placements
- + 3 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
At the UG level, NIT - Narula Institute of Technology provides a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course. The course is ranked #201-300 according to the NIRF 2024. For this course, the total tuition fee is INR 7,74,900 for the entire duration. The maximum number of students that can enrol for this course is 240. Please click the link for more information about other courses offered under NIT - Narula Institute of Technology B.E. / B.Tech.
Total Tuition Fees | ₹7.75 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Average package | ₹ 5.00 Lakh |
Official Website | Go to Website  |
Seat breakup | 240 |
Type of University | Private,Autonomous |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
As per NIT - Narula Institute of Technology fee structure, the fees for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 7,74,900. This fee is paid annually/ semester-wise at the beginning of every year/semester as per the rules laid down by the institution. However, some part of the total fee must be paid during NIT - Narula Institute of Technology admissions. Check below the course-wise total tuition fee for all NIT - Narula Institute of Technology Courses in the table below:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 7.75 Lakh |
₹ 7.75 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Rankings
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
As per NIRF 2024, NIT - Narula Institute of Technology has maintained a ranking of #201-300 for its B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course for the academic year 2024. Students must note that the ranking is not received individually for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). But the same has been given for the B.E. / B.Tech courses offered by NIT - Narula Institute of Technology. All details regarding the recent rankings received by NIT - Narula Institute of Technology for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) are tabulated below:
P
Prince Raj
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.0
4.0Placements2.0Infrastructure4.0Faculty1.0Crowd & Campus Life4.0Value for Money
Good college with a very small campus, but don't keep your expectations high!
Placements: Placements in my college are pretty decent, given the fact that it's a tier 3 college. Companies like JusPay, Amazon, etc. have come to our college in 2023 for placements, and JusPay actually hired 6-7 people with a whopping package of 20 LPA. The current average package of the CSE department for the year 2023 is 6 LPA. The highest package offered was 28 LPA, which was offered to 3 students and from JusPay only. Overall, about 80% of students got placed from the batch that passed out in the year 2023.
Infrastructure: Hostel facilities are not at all up to the mark, and most students here choose to stay outside the hostel and college. We prefer PGs, private hostels, and at times rent a flat in sharing. However, there are some students who choose to stay in the hostel, but the hostel is pretty much away from the college (boys' hostel) and not even on campus.
Faculty: Not all teachers, but some are really supportive and helpful. The teaching quality again is good only for some teachers. You need to repeatedly keep reminding most of the teachers that they need to teach in Hindi/English, as they often switch to Bengali while teaching. The semester exams are not at all tough and are easy to pass/score good marks in by simply referring to past year papers. The course curriculum is relevant only after the 1st year.
Other: The events and fests are just amazing when it's that time of the year again. They call big celebrities like Kartik Aaryan, Sara Ali Khan, etc., on campus for movie promotions and events. However, the overall crowd is not that good here, but still, you will be able to find good people here with a progressive mindset.
Reviewed on 24 Nov 2024Read More
A
Abhay
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.2
4.0Placements4.0Infrastructure5.0Faculty4.0Crowd & Campus Life4.0Value for Money
This is an average private college.
Placements: Placement are quite good, but students need to work harder than the knowledge provided by the college. Since this is a private college, be mindful from the beginning that students will face challenges. Overall, the college is decent or, in simple terms, average, and students will need to overcome hurdles.
Infrastructure: Hostels for girls are available, but it is better to apply early. The fees are reasonable and affordable, making it a good option. For boys, the hostel is provided only for the first year, and from the second year onward, they need to arrange their accommodation.
Faculty: Exams are conducted on time, and since it is autonomous, the syllabus is precise and shorter compared to other universities. Results are also declared promptly. The exam environment is positive, encouraging better preparation. Teachers are supportive and helpful.
Other: Remember to start studying from the first year and make full use of the resources provided by the college.
Reviewed on 19 Nov 2024Read More
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
3.8
4.0Placements4.0Infrastructure4.0Faculty3.0Crowd & Campus Life4.0Value for Money
Good faculty, infrastructure, campus life, and reachable.
Placements: My batch of AIML has recently started, so we still don't have a passing batch, but the overall placement scenario at our college is good; more than 1000 students are already placed. Our top package is 27 lacs per annum, while our average package is 6 lacs per annum.
Infrastructure: The faculty is quite qualified and helpful; they are quite good. We have lots of computer labs, libraries, mechanical, electrical, electronic lab and many others. The canteen present on campus is clean and aesthetic. The infrastructure of the college is good, spacious and beautiful.
Faculty: The faculty is quite qualified and helpful, but there is a little shortage of teachers in newly opened departments such as AIML. The faculty of computer science and engineering is taking care of our department and they are very good. The semester is a little tough to pass, as the paper quality is good.
Reviewed on 21 Jun 2024Read More
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
2.4
2.0Placements1.0Infrastructure3.0Faculty3.0Crowd & Campus Life3.0Value for Money
Teachers are good but some teachers are not good infrastructure is not good specially class room.
Placements: Placements are average in computer science and engineering. One girl got a job at Microsoft for 51 LPA. Offline campus, she is a really brilliant student. Check out her profile on GitHub, and you can also join her Discord community. They build a team by asking questions and helping juniors.
Infrastructure: Classrooms are not digital hostels; there is no good food or decent taste, and sometimes it's so bad you can't eat. Washrooms are not clean some times in class rooms, fans are not working properly, and roofs are breaking and falling on your body, especially in upper rooms (500).
Faculty: Teachers are helpful, qualified, and knowledgeable, but some teachers are very bad at teaching; they don't know how to teach a student, and there was a teacher who didn't know how to speak English and explain, but he tried to explain in English, but you could not understand there English.
Other: There was a gang in college called Wasseypur, and they were very cheap, so avoid them.
Reviewed on 19 Jun 2024Read More
(1) 1 person found this helpfulA
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.0
4.0Placements4.0Infrastructure4.0Faculty3.0Crowd & Campus Life5.0Value for Money
Overall, a decent college for this fees and grades.
Placements: The college placement percentage is above average because of recession in the industry. The college still manages to get placements for above 60 percent students. The training and placements section of this college is comparatively better than all other private institutions of West Bengal. We get trainings and placements assistance from the 3rd year but ut should be given from the 2nd year only.
Infrastructure: The college provides well-equipped classroom and labs. We have all the modern technologies in our labs. College is beautiful except the outer area. The campus is not very big but it is green and clean. We have well-equipped library where we get books for the semesters. It is good as we need not purchase books from the market. The infrastructure is decent, do not get confused by JIS building, this building is of another college as the camps hosts two college campus which are JIS and Narula.
Faculty: The entire syllabus and the curriculum is designed by MAKAUT. So you don’t need to doubt it. The college is autonomous which means they teach what is necessary from the future perspective.
The teachers are well qualified where as if anyone has problem regarding anything we can discuss it with teacher. They are so friendly in nature .
Other: If you join this college, keep one thing clear in your mind that it is an average college so you will get a normal crowd, no one is a star here. Everyone is learning and growing here.
Reviewed on 13 Apr 2024Read More
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
| Particulars | Statistics (2023) |
|---|---|
| Average Salary | INR 5.00 Lakh |
| Highest Salary | INR 27.00 Lakh |
| Median Salary | INR 5.00 Lakh |
Top Recruiters for Narula Institute of TechnologyACCENTURE
AIS
Amazon
amdocs
CapGemini
Cognizant
Deloitte
Genpact
HARMAN
Hexaware Technologies
IBM
Indus Net Technologies
Infosys
ITC Infotech
JUSPAY
KEC International Ltd.
Mind Tree
Mphasis
Persistent
Pinnacle
TCS
Tech Mahindra
Tejas Network
Wipro
Zensar Technologies
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
General
OBC
SC
ST
Requirements for 12th grade
- 45%
- Read moreCandidates must passed 10+2 examination and obtained mentioned marks with Physics,Maths and for remaining single course select any courses out of Physics/ Mathematics / Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship from a recognized Council/Board. Candidate Must have passed in English in the 12th standard (10+2) or equivalent examination with at least 30% marks. Candidate appearing in the 12th standard or its equivalent examination are also eligible.
JEE Main
WBJEE
Other eligibility criteria
Students should have done D. Voc. Stream in the same or allied field. The lower age limit as of 31.12.2024 is 17 (seventeen) years. A candidate should have been born on or before 31.12.2007. There is no upper age limit for appearing in the examination
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
Important Dates
ALL
WBJEE
JEE MAIN
Jul 22 - Aug 18, 2026
JEE Main CSAB special counselling
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
3Gender
Quota
Category
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2024 | 2025 | 2026 |
|---|---|---|---|
| 1 | 218607 | 307165 | 219040 |
| 2 | 339603 | 372785 | 178039 |
| 3 | 454135 | - | 156735 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2023 |
|---|---|
| 1 | 146970 |
| 2 | 199188 |
| 3 | 129558 |
WBJEE round-wise cutoff Rank: (General-All India)
| Round | 2024 | 2025 | 2026 |
|---|---|---|---|
| 1 | 31434 | 36952 | 27831 |
| 2 | 48556 | 56395 | 23733 |
| 3 | 53910 | - | 20219 |
WBJEE round-wise cutoff Rank: (OBC-All India)
| Round | 2023 |
|---|---|
| 1 | 28893 |
| 2 | 40791 |
| 3 | 51704 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Narula Institute of Technology Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Narula Institute of Technology
Address
Narula Institue of Technology
No. 81, Nilgunj Road,
Kolkata ( West Bengal)
Phone
6291977702
(For general query)
8902496651
(For admission query)
Email
Go to College Website ->
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