Total Fees | ₹3.67 Lakhs |
Events | Dates |
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R1 - Modification & Choice Locking (WBJEE Counselling) [BE/B.Tech] | Jul 21, 2024 |
R1 - Registration, Payment of Registration Fee and Choice Filling (WBJEE Counselling) [BE/B.Tech] | Ongoing Jul 10, 2024 - Jul 21, 2024 |
R1 - Seat Allotment (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 |
Result | Upcoming Jul 23, 2024 |
R1 - Reporting to Allotted Institute for Document Verification & Admission (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 - Jul 29, 2024 |
R1 - Payment of Seat Acceptance Fee (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 - Jul 29, 2024 |
R2 - Seat Allottment (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 |
R2 - Withdrawal by Candidates (WBJEE Counselling) [BE/B.Tech] | Upcoming Aug 03, 2024 |
R2 - Reporting to Allotted Institutes for Document Verification & Admission (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 - Aug 03, 2024 |
R2 - Payment of Seat acceptance fee (Fresh allottees) (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 - Aug 03, 2024 |
Events | Dates |
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Application Timeline (BE/B.Tech) [WBJEE] | Dec 28, 2023 - Jan 27, 2024 |
Registration | Feb 08, 2024 - Mar 18, 2024 |
Admit Card | Jun 21, 2024 - Jun 29, 2024 |
Events | Dates |
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R1 - Registration, Payment of Registration Fee and Choice Filling (WBJEE Counselling) [BE/B.Tech] | Ongoing Jul 10, 2024 - Jul 21, 2024 |
R1 - Modification & Choice Locking (WBJEE Counselling) [BE/B.Tech] | Jul 21, 2024 |
R1 - Seat Allotment (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 |
R1 - Payment of Seat Acceptance Fee (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 - Jul 29, 2024 |
R1 - Reporting to Allotted Institute for Document Verification & Admission (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 23, 2024 - Jul 29, 2024 |
R2 - Seat Allottment (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 |
R2 - Reporting to Allotted Institutes for Document Verification & Admission (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 - Aug 03, 2024 |
R2 - Withdrawal by Candidates (WBJEE Counselling) [BE/B.Tech] | Upcoming Aug 03, 2024 |
R2 - Payment of Seat acceptance fee (Fresh allottees) (WBJEE Counselling) [BE/B.Tech] | Upcoming Jul 31, 2024 - Aug 03, 2024 |
Registration, Payment of Registration Fee and Choice Filling (Mop Up Round - WBJEE Counselling) [BE/B.Tech] | Aug 05, 2024 - Aug 07, 2024 |
Events | Dates |
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Application Timeline (BE/B.Tech) [WBJEE] | Dec 28, 2023 - Jan 27, 2024 |
Events | Dates |
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JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
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WBJEE 2025 Registration Timeline | Tentative Dec 28, 2024 - Feb 05, 2025 |
WBJEE 2025 Exam Date | Tentative Apr 28, 2025 |
WBJEE 2025 Admit Card Date | Tentative Apr 18, 2025 - Apr 28, 2025 |
WBJEE 2025 Result Date | Tentative Jun 06, 2025 |
Events | Dates |
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WBJEE 2024 Result | Jul 12, 2024 |
Events | Dates |
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Result | Upcoming Jul 23, 2024 |
Events | Dates |
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Exam | Jun 29, 2024 |
Admit Card | Jun 21, 2024 - Jun 29, 2024 |
Registration | Feb 08, 2024 - Mar 18, 2024 |
The 2023 WBJEE round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at Techno Main Salt Lake was 9008 for the General category.
Courses |
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Aspirants seeking admission to the program must fulfill the following criteria:
Academic Requirement:
Techno Main Salt Lake, Kolkata | Heritage Institute of Technology | Techno India University | |
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Reviews Rating | |||
Cost To Study | Total Fees ₹367000 (4 Years ) | Total Fees ₹949400 (4 Years ) | Total Fees ₹632000 (4 Years ) |
Ranking | # Ranked 149/200 by India Today Engineering Ranks | # Ranked 102/253 by India Today Engineering Ranks | - |
Highest Salary | - | ₹1600000 | - |
Average Salary | - | ₹400000 | - |
General Course Details | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 54 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 |
Eligibility | 10+2 | 10+2 with 45% + JEE Main | 10+2 with 45% + JEE Main |
Search from 20K+ Courses and 35+ Streams
Likes
Dislikes
These insights are automatically extracted from student reviews
Likes
Dislikes
The course is designed by MAKAUT. So being a private college atleast they try to finish as much as they can before exams. But exam papers are becoming average day by day due to immense strict modulation of papers from the University.
Likes
As you know the future is all about Artificial intelligence and machine learning and in this course 70% syllabus is as same as CSE, 30% included AIML syllabus this course gives you the freedom to focus on Real world application Like robotics and chatgpt There are 4 class assessment in 1 semester having 25 marks each and 2 practical class assessment having 40 marks and 1 final semester in 4 CA best of one will be included and the final exam will be of 70 marks and 5 marks for ur attendance overall 100 same for PCA best one will be considered and final PCA will be of 60 marks the difficulty of theory exam is moderate if u study atleast one week full focusly u can score a good cgpa like 8.5 or 9
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Talking about the curriculum it is one of the best curriculum I ever witness because it is consist of not only of subjects related to computer science what all the subject related to other fields also because we were taught about the electronics field and electrical field also in the starting the endless and some basic soft skills and industrial management are taught which is a very good curriculum I feel because it is need for every student to study that and talk about the teaching method it is a quite easy and so we got around 6 subjects in the entire 3rd 4th and 6 semester so it was the heavy schedule for us but later on it was and even schedule in the final year
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If you didnt get satisfying college in jee mains and looking for decent placement with low investvent you can opt this college.There are not much staffs in this college . Teachers are not so good like every other college you need to work on your own. Termy exams are not so tough you just need to start 1 month prior and can score very good marks.
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I choose this course because i love it and it's also demanding subject . Faculty is so good and the ratio of faculty and students is 1:50. The semester exam is medium hard and also pca and ca exam .
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I choose this course because of my interest in ARTIFICIAL INTELLIGENCE and MACHINE LEARNING domain.The faculty:student rataio is good enough.The ratio is around 1:15.The faculty members are well eduacted and ssome of them are working on their research papers.They teach us in very friendly method and aware us about the technique required sometimes in industry.The term exams were conducted by MAKAUT and the timings are twice in a year in a gap of 5 months.It is easy to pass in the examination if you have some knowledge on the exam papers.
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• I chose this course because it's more revised and recent for industrial standards instead of the old curriculum of other courses ( I am not demeaning them , just providing my point of view) • Faculty: Student Ratio is about 1:60 • Teachers are highly qualified , most of them have some doctorate / PhD degree , pass out from renowned institute like Jadavpur , Shibpur , IIT Kharagpur and like these • Every month a term exam is taken called CA .. Total there are 4 CAs and it's taken as instructed by Makaut.
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Dislikes
As we all know that Artificial Intelligence and Machine Learning is going to rule the World. Hence there are a lot of job opportunities for the people studying in this stream. In 1st year our department has 120 students. The faculty is very good and helpful. The teaching process of the teachers are good if only you do the classes seriously and regularly. So, it's the responsibility of the students to do the class properly. The faculty is very free to communicate if you are only good them. Every year two semesters you occurs. There in between there will be Continuous assessments and Practical Continuous assessments also. These marks will get uploaded in the Makaut portal. These CA s and PCA s are not that tough to pass. But for the semesters you have to study atleast so that you can score atleast like 8 point. And if you are a good student then you can easily going to be a 9 pointer.
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I choose this course as it is unique and it's based on the future as my course is based on AI.the faculty members were okay and there teaching was also okay not good not bad but the faculty members are well educated in their respective field and their were exams held timely and it's has moderate level of difficulty
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Dislikes
I chose this course because this is the best couse I can get for this rank. As I'm still in first year I have no great idea about the faculty to student ratio. I also don't know much about their qualification as I'm in my first sem. The semester exam happens every six months and although I haven't given one, they are not that difficult to pass.
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