Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) From REVA University, Bangalore
REVA University Latest Updates and News
- KCET 2024 Seat matrix has been released on Sept 08. Candidates had to pay the caution deposit and rearrange their options till September 13. Furthermore, the KCET Round 2 Seat Allotment Results will be declared shortly on the official website @cetonline.karnataka.gov.in/kea/ugcet2024.
- COMEDK 2024 Counselling has concluded on September 14, and the classes have commenced on September 15 as per the AICTE instructions.
REVA University Cutoff 2024 is out for its B.Tech courses based on KCET Scores. Those seeking admission in the next academic session can check the KCET cutoff ranks here.
- REVA University B.Tech 2024 cutoff rank for Round 1 is 16832-87934 for GM category students.
| Total Fees | ₹18 Lakhs |
REVA University Upcoming Application Dates 2024
Important Events
| Events | Dates |
|---|---|
| REVA-EET registration | Tentative Dec 01, 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 |
| REVA-EET exam | Tentative May 24, 2025 - May 29, 2025 |
| REVA-EET results | Tentative May 31, 2025 |
Expired Events
| Events | Dates |
|---|---|
| Last date for commencement of classes as notified by AICTE [BE/B.Tech] | Sep 15, 2024 |
| Reporting to college by candidate Round 3 [BE/B.Tech] | Sep 09, 2024 - Sep 14, 2024 |
| Allotment Result Round 3 [BE/B.Tech] | Sep 09, 2024 - Sep 12, 2024 |
Important Events
| Events | Dates |
|---|---|
| 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 |
Expired Events
| Events | Dates |
|---|---|
| KCET Counselling Date | Aug 07, 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 |
|---|---|
| REVA-EET registration | Tentative Dec 01, 2024 |
| REVA-EET exam | Tentative May 24, 2025 - May 29, 2025 |
| REVA-EET results | Tentative May 31, 2025 |
| REVA-EET counselling | Tentative Jun 10, 2025 |
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REVA University Cutoff 2024
REVA University, KCET Cutoff 2024
The KCET 2024 round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at REVA University was 19001 for the GM category.
| Round | Cutoff 2024 |
|---|---|
| Round 1 | 19001 |
Do you think the Cutoff is wrong ? Report Here
REVA University Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Ranking
Do you think the Rankings are wrong ? Report Here
Eligibility Criteria
Aspirants seeking admission to Full-time B.Tech Program should meet the following criteria as specified by the institute.
Academic Requirement:
Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent there to.
Entrance Exam:
Candidate must qualify the entrance tests score in REVA University Engineering Entrance Test (REVA EET ) or CET / COMED-K / Uni-GAUGE or any other equivalent examination conducted by recognized Institute / Agency.
Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Comparison
| REVA University, Bangalore | Presidency University Bangalore | Jain University | PES University | CMR University | |
|---|---|---|---|---|---|
| Reviews Rating | |||||
| Cost To Study | Total Fees ₹1800000 (4 Years ) Hostel Fees ₹107000 | Total Fees ₹1260000 (4 Years ) Hostel Fees ₹135000 | Total Fees ₹1600000 (4 Years ) Hostel Fees ₹80000 | Total Fees ₹2766944 (4 Years ) Hostel Fees ₹110000 | Total Fees ₹2085300 (4 Years ) |
| Ranking | # Ranked 10/20 by The Week Engineering Ranks | # Ranked 15/20 by The Week Engineering Ranks | # Ranked 95/300 by NIRF Engineering Ranks | # Ranked 101-150/300 by NIRF Engineering Ranks | # Ranked 246/246 by India Today Engineering Ranks |
| Highest Salary | ₹2893000 | ₹1358000 | ₹4200000 | - | ₹1100000 |
| Average Salary | ₹680000 | ₹521000 | ₹620000 | - | ₹430000 |
| 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 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 | 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 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
| Eligibility | 10 + 2 with 45% + REVA EET | 10+2 with 45% | 10+2 with 45% | 10+2 with 45% + KCET | 10+2 with 45% |
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Why To Join REVA University - Reviews & Rating
Likes
- About collage infrastructure its amazing and it give difderent vibe in college due to its infrastructure and collage provide internship offer at beginning as i am first year student nore than 10 intership has been given for students
- Rules of collage is very strict for example if a student has not brought id card he cant able to enter the collage and another good this is we will get 2days holiday in a week
Dislikes
- About teaching some techer is very good and some teacher are bad in teaching so stundent has to learn on their own of they got bad teacher 😀
- During morning time collage is more crowded so its problem in collage
Course Curriculum Overview:
AIML as everyone know its booming course present time and its has very good scope so took AI.2 IA exam were conducted and all question are direct thier is no difficult level in exam . Sem exam were quit medium level .
Likes
- i like the university's cleaniness and greenery around the campus
- i also like the activities that are held in the campus
Dislikes
- there is nothing that i disliked about this university
- there is nothing i disliked about this university
Course Curriculum Overview:
the course which i have chhosen is a highly influenced course and it wll be the future and i applied for it .the teaching methods and the teachers are very good.the cirriculam really helps us to prepare for reeal world application.
Likes
- The ground which is used for all the sports, the ambience, hygiene of the campus, security.
Dislikes
- Managing of a crowd, faculty irregularity, intership opportunities.
Course Curriculum Overview:
I chose this course (aiml) as I'm keenly interested in computer stuff. There will be a faculty appointment for every 40 students at least. The teachers are highly qualified. There will be two internals and one final exam for each semester. And the exams are of medium difficulty.
Likes
- Faculty and subjects they are teaching us with more interaction towards practical side.
- Campus life and the fests which they conduct.
Course Curriculum Overview:
I chose the AI ML course as it was the new booming field and had a lot of scope in the student population is slightly more than other colleges as there are a lot of branches and courses. It also includes commerce and business students. The faculty here are friendly and supportive but you should be interactive with them frequently for them to be more helpful. The directors are very well educated. The exams are quite moderate and it's going to be easy to pass.
Likes
- I like the campus and environment, the study's are nice
- The infrastructure of the college is very nice
Dislikes
- The college entry pass for visitors is not given easily
- The process for enquiry for courses is late
Course Curriculum Overview:
Because artificial intelligence and machine learning are specialized courses it is a future scope course it is useful in future. There are qualified teachers with the best communication between students and teachers
Likes
- The infracstructure and faculties are very good
- The webinars conducted for different classes are helpful
Dislikes
- Fees is a little too much for the students
Course Curriculum Overview:
The course aiml is very diverse as it is gaining the leading the curriculum makes sure that students get exposure to the industrial needs and helps one in working for the corporate world. the faculty is very experienced in their respective field.
Likes
- The campus, the faculties, campus life, fesf
Dislikes
- Fees for management quota, more crowd of students
Course Curriculum Overview:
I chose the course artificial intelligence and machine learning because it is a growing branch and every company is trying to get Al for the work that people used to do for cost-cutting. In our course, the teacher: student ratio is about 1:10 which is pretty good and almost all teachers are well-qualified and have completed their masters. They conducted internal tests once a month and sem end exam once in 4 months and it is not that hard to pass it if you prepare well
Likes
- Fests, greenary, sports , people , campus life
Dislikes
- Infrastructure is not very modern, not all classrooms have projects
Course Curriculum Overview:
I took up this course as AI could have an impact in the future. Some faculty members are very knowledgeable and easy going but at the end of the day, you'd have to study from the pdf notes. It's easy to pass the exam. The student-faculty ratio could be around 1:25. Most of the teachers are highly qualified and the teaching methods could be improved a little. Internal exams are conducted every 2 months. There are a total of 2 internal exams and a semester-end exam.
Likes
- CAMPUS LIFE
- FOOD
Dislikes
- TOO FAST IN FINISHING THE SEMS
- SOME OF THE FACULTY ARE NOT QUALIFIED
Course Curriculum Overview:
I choose this course because AI&ML is the future and we need to learn new tech to be ready for the industry as soon as we get out of college, the faculty-student ratio is good I do not know the exact numbers, but I did not a fell issue in the ratio anytime through my five sems, all the faculty are well qualified, Ph.D. holders and few of them even have industry experience. As we were in covid times in my 1st and 2nd sem I did not get much time to study felt difficult but manageable. Now it is normal as it was before covid.
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