Years | year 1 | year 2 | year 3 | year 4 | ||||
---|---|---|---|---|---|---|---|---|
Semester | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Admission fees | ₹5000 | - | - | - | - | - | - | - |
Tution fees | ₹44000 | ₹44000 | ₹45100 | ₹45100 | ₹46200 | ₹46200 | ₹47300 | ₹47300 |
Other fees | ₹16500 | ₹500 | ₹500 | ₹500 | ₹500 | ₹500 | ₹500 | ₹500 |
Total Year Wise fees | ₹1.10 Lakhs | ₹91,200 | ₹93,400 | ₹95,600 |
Events | Dates |
---|---|
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 |
---|---|
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 |
---|---|
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 - 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 |
R2 - Reporting to Allotted Institutes for Document Verification & Admission (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 |
---|---|
Application Timeline (BE/B.Tech) [WBJEE] | Dec 28, 2023 - Jan 27, 2024 |
Events | Dates |
---|---|
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 |
---|---|
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 |
---|---|
WBJEE 2024 Result | Jul 12, 2024 |
Events | Dates |
---|---|
Result | Upcoming Jul 23, 2024 |
Events | Dates |
---|---|
Exam | Jun 29, 2024 |
Admit Card | Jun 21, 2024 - Jun 29, 2024 |
Registration | Feb 08, 2024 - Mar 18, 2024 |
The 2024 WBJEE round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at STCET was 150251 for the General category.
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The 2024 JEE Main round 2 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at STCET was 176487 for the General category.
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Candidate should have passed 10+2 in relevant streams.
STCET | NSEC | RCCIIT | |
---|---|---|---|
Reviews Rating | |||
Cost To Study | Total Fees ₹390200 (4 Years ) | Total Fees ₹2984800 (4 Years ) | Total Fees ₹604300 (4 Years ) |
Ranking | - | # Ranked 186/200 by India Today Engineering Ranks | - |
Highest Salary | - | ₹6000000 | ₹1400000 |
Average Salary | - | ₹534000 | - |
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 Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
Eligibility | 10+2 with 45% + JEE Main | 10+2 | 10+2 |
Search from 20K+ Courses and 35+ Streams
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These insights are automatically extracted from student reviews
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I am studying Artifical intelligence and Machine learning course. As technology is advancing AIML plays a critical role in shaping the future, so this skills are high in demands ,creating a huge job opportunities in this field. This also enhances our analytical and problem solving abilities enabling us to solve large complex problems.
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Well i want to learn some hardware and software so i choose artificial intelligence and machine learning . The college provide a good number of teacher in each department 1:15 the teacher and student ratio is this. The few teachers are highly qualified and others are good in their subjects teaching .. So after every six months their is semester exam and after two months of new semester their are four class assessment/test which held in every month
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Aritficial Intelligence and Machine Learning is an emerging field. If you have scored bad in mains and other exams. You can apply for this college. Some Teachers are good. Afterall this is not IIT , self study is must. Exams are easy if you study.
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Choosing an Artificial Intelligence and Machine Learning engineering course can offer you a pathway to work on cutting-edge technologies,and contributing to advancements in various industries.This field presents opportunities for innovation and impactful applications, ranging from healthcare and finance to automation and robotics. The increasing demand for AI and ML professionals in the job market also makes it an attractive choice for those seeking rewarding and dynamic careers.The faculty-to-student ratio is a crucial metric indicating the number of academic staff per student.A lower ratio typically implies smaller class sizes, fostering more personalized attention and enhancing the overall learning experience.Faculty typically hold advanced degrees, ensuring expertise.Teaching methods vary, but effective faculty use engaging approaches like lectures, practical exercises, and real-world applications.My college 6 month before semister exam will be held and exam questions was very talf
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i choose the course because of upcoming demand of ai in future .as we know that Ai will rule world in future ,so job opportunities will be become available in large amount.student nos are 55 to 60 in each class. mostly faculty are qualified from jadavpur university kolkata. semeter exams are conducting little late due to some reasons like lateral entery students .
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Our faculty members are great, helping and supportive. First of all I choose Artificial intelligence and machine learning Artificial intelligence field because I am very Curious about machine learning how machine can think like an individual human being.
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I have choosen BTECH IN Artificial Intelligence and Machine Learning and this course curriculum is very much good .The student ratio is 50:1,the faculty is well qualified and their teaching method is very good and helpful,the exam was really nice and according to the thing taught in class.
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This college provides 5 courses mainly, which is CSE, AI&ML, IT, EE and ECE. Course curriculum is more than average. Faculty members are supportive, encouraging and dedicated towards their work. They will go extra miles to clear your doubt.
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I wanted be an engineer since class 9. And wanted to work in the software development field. Observation the boom of AI, I opted for Bachelor of Technology in Artificial Intelligence and Machine Learning. Only faculty per subject in a classroom of 60 students. Faculty are qualified adequately. Smart board and PPT running during the class. Green Board teaching is fruitful. One internal exam per month. Difficulty level increases progressively.
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