KolkataNarula Institute of TechnologyCourses & FeesBachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning)

Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) From Narula Institute of Technology, Kolkata

Kolkata, West BengalEstd 2001 MAKAUT, Kolkata
#208 For B.Tech By Indiatoday 2023  
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Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) 
first year fees:  ₹141,994
4.14 YearsFull Time
Yearsyear 1year 2year 3year 4
Semester12345678
Tution fees₹81994₹60000₹54609₹53100₹55008₹54200₹55300₹55892
Total Year Wise fees1.42 Lakhs1.08 Lakhs1.09 Lakhs1.11 Lakhs

Narula Institute of Technology Upcoming Application Dates 2024

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Important Events

EventsDates
JELET results
Tentative
Aug 04, 2024

Expired Events

EventsDates
Application Timeline (BE/B.Tech) [WBJEE]Dec 28, 2023 - Jan 27, 2024
WBJEE Registration TimelineDec 28, 2023 - Feb 05, 2024
JEE Main 2024 Registration (Session - 2)Feb 02, 2024 - Mar 04, 2024

Important Events

EventsDates
JELET results
Tentative
Aug 04, 2024

Expired Events

EventsDates
ExamJun 21, 2024 - Jun 29, 2024
Admit CardJun 21, 2024 - Jun 29, 2024
RegistrationFeb 08, 2024 - Mar 18, 2024

Narula Institute of Technology Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Ranking

Narula Institute of Technology B.Tech ranking by India Today is 208 out of 246 in India in 2023 and it was ranked 218 out of 238 in India in 2022. Narula Institute of Technology B.Tech ranking by Outlook is 123 out of 160 in India in 2023 and it was ranked 135 out of 150 in India in 2019. Narula Institute of Technology B.Tech ranking by The Times Of India is 97 out of 125 in India in 2023 and it was ranked 45 out of 148 in India in 2022

Indiatoday Ranking

#208 out of 246 in Top Private Colleges in India 2023 

Outlook Ranking

#123 out of 160 in Top Private Colleges in India 2023 

TOI Ranking

#3rd in Kolkata
#4 in West Bengal

Collegedunia Ranking

#374 out of 394 in India 2023 
#9th in Kolkata
#14 in West Bengal

Eligibility Criteria

• The candidates must have passed 10+2 examination from a recognized Board with Physics and Mathematics as compulsory subjects and along with any one of Chemistry/ Biotechnology/ Biology/ Computer Science/ Computer Applications with individual passing marks and having minimum 45% marks in above subjects.
• For the reserved category candidates, it is 40% marks in aggregate.
• The candidates must have an English subject with minimum pass marks of 30% marks.
• The candidates must have a good score in JEE Main/ WBJEE and CEE-AMPAI

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Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Comparison

Narula Institute of TechnologyIGDTUW
Reviews Rating
Cost To Study
Total Fees
470103 (4 Years )
-
Ranking
# Ranked 208/246 by India Today Engineering Ranks
# Ranked 17/35 by India Today Engineering Ranks
Highest Salary₹1800000-
Average Salary--
General Course Details
Duration - 4 Years
Course Offered - Full Time
Total Seats - 60
Mode - Full Time
Degree Type - On Campus
Course Level - Graduation
Course Credential - Degree
Duration - 4 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Graduation
Course Credential - Degree
Eligibility10+210+2 with 75% + JEE Main

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Why To Join Narula Institute of Technology - Reviews & Rating

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Course Curriculum Overview:

I'm from AIML. I chose it because of my area of interest in the robotics field. The ratio of students is around 3:4 for girls-boys. The Faculties are very good, they help you in any situation. They all are Ph.D. holders from IIT or Jadavpur University. There and two slot tests around of 30 marks and a sem exam of 70 marks. The difficulty of paper is hard and it is a little bit hard to pass.

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Sourav B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Sep 10, 2023
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Course Curriculum Overview:

I chose this course because I wanted to study CSE and I got a branch in it, which is AIML, so I opted for this course. There are quite a few faculty members with respect to the student ratio. The faculty members are well qualified and have quite good teaching quality, except for a few. Term exams were taken at periodic times throughout the semesters as has happened before, and it was quite okay to pass depending on how much an individual studies.

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Saraswata Ghosh B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Sep 9, 2023
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College review

4.0Helpful

Course Curriculum Overview:

I chose this branch because of my counseling. This is also similar as cse .cse faculty are also take classes of us . In cse faculty, there are more than 50 teachers. they are highly qualified. They teach us very well.lab faculty are also good. computer lab is so good.

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Soumyadip kumar B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Sep 9, 2023
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NiT review

4.1Helpful

Course Curriculum Overview:

I am mainly interested in computer programming as well as AI. The ratio of the faculty: to student is 1:9. The minimum qualification of the faculty is a PhD. Well, I observed that the exams are a little bit more difficult than other colleges.

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Subham Bhuin B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Sep 9, 2023
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Course Curriculum Overview:

I chose this course because it is a totally new technology and have a better future and we all know that after a few years, most of the work will done by this technology and it will take workload from the human. In my college, the faculty and student ratio is pretty good and they are extremely helpful and cooperative. The way they teach is also very understandable if anyone is unable to understand then they will try to make him/her understand and also try to clear each and every doubt about classes. In my opinion, HODs are very much friendly and helpful they come to class and ask us what our problems are( it can be subjects, teachers, or related ). If we talk about the exams I'll say it is not too much harder or not too much easy. Those who will pass easily and will follow the classes.

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Sourav Das B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2021) Reviewed on Sep 7, 2023
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