Total Fees | ₹10.66 Lakhs |
Events | Dates |
---|---|
KCET Counselling Date | Tentative Aug 07, 2024 |
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 |
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 |
Events | Dates |
---|---|
Counselling Registration & Document Uploading (B.Tech - Round 1) [COMEDK UGET] | May 24, 2024 - Jun 17, 2024 |
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 |
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 |
Events | Dates |
---|---|
COMEDK UGET Counselling Date | Jul 05, 2024 |
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 |
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 |
The 2024 KCET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at CMRIT was 15924 for the GM category.
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The 2024 TS EAMCET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at CMRIT was 19769 for the General category.
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The 2024 COMEDK UGET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at CMRIT was 12597 for the GM category.
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Aspirants seeking admission into this course should have passed 2nd PUC/ 12th / Equivalent Exam with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/ Biotechnology / Biology / Electronics/ Computers. (40% for Karnataka reserved category candidates).
Entrance Exam:
CET/COMED-K/JEE/AIEEE
For Diploma Holders
Diploma Holders in engineering with a minimum of 50% marks in the final examination, conducted by the Board of Technical Examination, Government of Karnataka or its equivalent, are eligible for admission to the corresponding branch of Second Year engineering. Candidates must take the Common Entrance Test (DCET) for Diploma students conducted by the CET Cell, Govt. of Karnataka. Seats will be allotted during the centralized counseling process conducted by the CET Cell.
For NRI & Foreign students
Admission to undergraduate programmes in engineering shall be open to NRI / Foreign candidates who have passed 12th standard or equivalent examination recognized by AIU with Physics and Mathematics as compulsory subjects along with Chemistry / Electronics / Biology / Biotechnology / Computer Science as optional subjects and English as one of the languages of study. Students must have obtained a minimum of 45% marks in aggregate in PCM.
Fees Structure |
||
Category | Description | Per Year Fees(Rs) |
Tuition |
|
110000 |
Other | Other fees might include Lab fees, Library fees, Placement fees as per State fee Order | 2500 |
CMRIT | RNSIT | |
---|---|---|
Reviews Rating | ||
Cost To Study | Total Fees ₹2343396 (4 Years ) | Total Fees ₹467060 (4 Years ) |
Ranking | # Ranked 84/253 by India Today Engineering Ranks | # Ranked 251-300/300 by NIRF Engineering Ranks |
Highest Salary | ₹3000000 | ₹2665000 |
Average Salary | ₹552000 | ₹550000 |
General Course Details | Duration - 4 Years Course Offered - Full Time Total Seats - 180 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% | 10+2 |
Search from 20K+ Courses and 35+ Streams
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Every students in the college must have atleast 75 percent of attendance it might vary from one department to other department, even our faculties conduct the expert talks from the industrial field, this helps us a lot. Even maintaining cgpa is very important.
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I'm currently studying in Artificial Intelligence and Machine Learning...as of now I think its a good course and it has a good scope right now and it will continue for the next 5-7 years also. We have 3 internals for every semester and one external exam from the VTU board. We also have lab exams to attend in between the internals.
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Collage is affilioated to vtu and the coarses are well updtated over the time, Newer branches have updated syllabus with new subjects and labs providing learnings to new technologies and reqwuired skill sets needed in the industry standard
Artificial intelligence and Machine Learning course . It prepares for the real world well . The course testing and improvement methods are good . The exams internals are conducted monthly and are of decent mark.
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As my family and well-wishers suggested ai chose aiml branch in cmrit. All the faculty members are helpful and they all help us to perform many activities. We should do a mini project once a semester and in a MOOC course, we have three internal examinations (IATs). they take an average of three and the internal and external ratio is 50:50
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I wanted to opt for the ISE course but couldn't afford it so researched this course and found out this might be the future so chose this course. Every 70-75 students are allowed with a class teacher and the student: faculty ratio is pretty decent.
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I chose the course-AIMl because I would get to learn about Machine Learning and its related topics. The Faculty is good. Teachers have 8+ years of teaching experience and good subject knowledge. It is easy to pass if we listen to the classes.
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Talking about the courses and curriculum here, most courses provided here are related to the IT stream. The courses offered here are CS, IS, AIML, AIDS, CS(AIML, CS(AIDS), EC, MCA, and MBA. The lecturers here are very friendly. They are always willing to help the students. They have many resourceful lecturers who have got their PhD and master's degrees from many prestigious colleges. Anyone can visit them without any hesitation, they will be always ready to help
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AI as an industry is booming and opportunities for jobs are going to rise exponentially in the next 3 years. every 50 students have one teacher, i.e. 1:50 ratio. teacher's have completed their Ph.D.'s and master education degrees in their respective fields. three exams per semester, moderately difficult compared to vtu paper.
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I was interested in AI and all that stuff during my 12th STD. Then later I got to know about this course, so joined for this. There are lots of faculty to teach us, every class has a separate class teacher and every 20 students have a mentor. Internals are easy here which can fetch u good marks.
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