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Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) From BMSCE, Bangalore
| Year | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Tution fees | ₹750000 | ₹750000 | ₹750000 | ₹750000 |
| Total Year Wise fees | ₹7.50 Lakhs | ₹7.50 Lakhs | ₹7.50 Lakhs | ₹7.50 Lakhs |
BMSCE Upcoming Application Dates 2024
Important Events
| Events | Dates |
|---|---|
| KCET Counselling Date | Tentative Aug 07, 2024 |
| KCET Registration Timeline | Tentative Jan 10, 2025 - Apr 01, 2025 |
| KCET Admit Card Availability | Tentative Apr 03, 2025 |
| COMEDK UGET Registration Timeline | Tentative Feb 01, 2025 - Apr 10, 2025 |
| KCET Exam Date | Tentative Apr 18, 2025 - Apr 19, 2025 |
| COMEDK UGET Admit Card Date | Tentative May 06, 2025 |
| COMEDK UGET Exam Date | Tentative May 12, 2025 |
| COMEDK UGET Result Date | Tentative May 24, 2025 |
| KCET Result Date | Tentative Jun 01, 2025 |
Expired Events
| Events | Dates |
|---|---|
| Counselling Registration & Document Uploading (B.Tech - Round 1) [COMEDK UGET] | May 24, 2024 - Jun 17, 2024 |
| Document Verification Completion (B.Tech - Round 1) [COMEDK UGET] | Jun 22, 2024 |
| Verification of Documents (Rank 1 - 20000) [KCET Counselling] [BE/B.Tech] | Jun 25, 2024 |
Important Events
| Events | Dates |
|---|---|
| COMEDK UGET Registration Timeline | Tentative Feb 01, 2025 - Apr 10, 2025 |
| COMEDK UGET Admit Card Date | Tentative May 06, 2025 |
| COMEDK UGET Exam Date | Tentative May 12, 2025 |
| COMEDK UGET Result Date | Tentative May 24, 2025 |
Expired Events
| Events | Dates |
|---|---|
| COMEDK UGET Counselling Date | Jul 05, 2024 |
Important Events
| Events | Dates |
|---|---|
| KCET Counselling Date | Tentative Aug 07, 2024 |
| KCET Registration Timeline | Tentative Jan 10, 2025 - Apr 01, 2025 |
| KCET Admit Card Availability | Tentative Apr 03, 2025 |
| KCET Exam Date | Tentative Apr 18, 2025 - Apr 19, 2025 |
| KCET Result Date | Tentative Jun 01, 2025 |
BMSCE Cutoff 2024
BMSCE, KCET Cutoff 2024
The 2024 KCET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at BMSCE was 2098 for the GM category.
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BMSCE, COMEDK UGET Cutoff 2024
The 2024 COMEDK UGET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at BMSCE was 1981 for the GM category.
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Compare |
BMSCE Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) Ranking
Indiatoday Ranking
Eligibility Criteria
Aspirants seeking admission to 4 year Full-time B.E Program should meet the following criteria as specified by the institute.
Academic Requirement:
A candidate who has Passed in 2nd PUC / 12 Std / Equivalent Examination with English as one of the Language and obtained a Minimum of 45% of Marks in aggregate in Physics and Mathematics as compulsory subjects along with Chemistry / Bio-Technology / Biology / Computer Science / Electronics as optional subjects.All SC/ST candidates have a relaxation of 5% in the minimum aggregate.
Entrance Exam:
Candidates must qualify one of the following exam:- KEA / COMED-K
Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) Comparison
| BMSCE | BMSIT | |
|---|---|---|
| Reviews Rating | ||
| Cost To Study | Total Fees ₹417060 (4 Years ) Hostel Fees ₹60000 | Total Fees ₹2183396 (4 Years ) Hostel Fees ₹154000 |
| Ranking | # Ranked 6/253 by India Today Engineering Ranks | # Ranked 199/300 by NIRF Engineering Ranks |
| Highest Salary | ₹1000000 | ₹2640000 |
| Average Salary | ₹450000 | ₹790000 |
| 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 - 180 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
| Eligibility | 10+2 with 45% + COMEDK UGET | 10+2 with 45% + KCET |
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Why To Join BMSCE - Reviews & Rating
Likes
- BMSCE is known for its strong academic programs and renowned faculty members who provide quality education and guidance to students.
- The college offers a lively campus atmosphere with numerous clubs, cultural events, and technical festivals, providing students with opportunities for extracurricular involvement and personal development.
Dislikes
- The academic workload at BMSCE can be challenging, requiring students to manage their time effectively and cope with rigorous coursework, assignments, and exams.
- Despite its modern infrastructure, students may occasionally face issues such as overcrowded facilities, limited access to certain resources, or maintenance issues in certain areas of the campus.
Course Curriculum Overview:
The curriculum at BMS College of Engineering is highly relevant and comprehensive, with practical projects and industry collaborations shaping its appeal. It effectively prepares students for real-world applications and further academic pursuits. However, improvements could include more interdisciplinary coursework, integration of emerging technologies, and diversified teaching methods. Exams are frequent and challenging, reflecting the curriculum's rigor and ensuring continuous assessment. Overall, enhancing teaching methods and curriculum content could further optimize the learning experience.
Likes
- Faculty which supports all students in everything
- College campus is too cool which helps in refreshing
Course Curriculum Overview:
I was in search of computer science but I got artificial intelligence I am happy with it because this too has boomed course which is today's need. The faculty are cool and the teaching is too good. The exam here are in the semester system and also the the checking is strict.
Likes
- The building are pretty decent. We mostly be in Platinum Jubilee Block , where all our engineering departments are located. They are all pretty nice.
- Campus life is pretty chill we get spare time , time to socialize and even many fun events . Crowd here is also pretty chill .
Dislikes
- ID card mandate. Come on Digital Time. Let us use our mobile or some rfid on bags or something pleasee...
- Lifts are always full during peak hours. So if you are getting late be ready to climb the stairs
Course Curriculum Overview:
Artificial Intelligence and Machine Learning were always fascinated and interesting to me. I believe there is a good scope for it in the future. Hence I chose it. I got EEE throughout KCET in the same college but didn't want to bet my career on that course. There are almost 1500 students and a good amount of teaching faculty around 100-150 altogether. Faculties are amazing and supportive. Most of the core subject teachers are awesome. Ample of time is given for term exams and it is very easy to pass. Like we used to get all the datasheets way before and hence could start preparations right away.
Likes
- The faculty here is very experienced and teaches well.
- Food in the college canteens is very tasty and yummy.
Course Curriculum Overview:
I chose this course because I think AIML. would be one of the most demanding courses in the future and I had an interest in robotics and artificial intelligence. Faculty here is very experienced and IITians also teach here. Faculty: student ratio is more than enough in BMSCCE and most of the faculty has done MTech or PhDs. Exams were of moderate difficulty and occur three times a semester(internals).
Likes
- Good facilities and infrastructure in the college
- Placement is pretty good in our college
Dislikes
- Last moment decisions taken by the management regarding exams
- Campus size is very small
Course Curriculum Overview:
AIML is an upcoming course in today's field. The course curriculum is pretty good. The faculty-student ratio is about 1:30. Teachers are well qualified, and many of them have completed their master's and also Ph.D. Exams are more regular in BMSCE you can expect an exam monthly. Passing is not at all difficult.
Course Curriculum Overview:
I chose AIML as it is a CSE branch and as Bangalore is an IT hub it will help me get easy job opportunities. Faculty is average like other colleges .some give attendance some cause a scene if it is below 85%. Teaching is on the blackboard and on ppt depending on the course. Most of the faculty is qualified. internals happen 3 times in a sem.
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