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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
4.1 /5- A+ NAAC accredited
- Private Institute
- Estd. 2001
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
Table of contents
- Overview
- Fees
- Student Reviews
- Placements
- Entry Requirements
- + 2 more items
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Overview
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
R.N.S. Institute of Technology B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) is a 4 years B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) course provided in Full Time mode. The total cost of the programme has multiple components including the tuition fee, which is INR 26,00,000. Apart from the tuition fee, students might also be required to pay an additional fee at the time of admission to R.N.S. Institute of Technology. The course offers admission in 180 seats to aspirants. Checkout the table below to get an overview of B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at R.N.S. Institute of Technology:
Total Tuition Fees | ₹26.00 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 180 |
Type of University | Private |
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Fees
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
R.N.S. Institute of Technology B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) fees is consists of several elements, such as tuition fees, one-time charges, registration fees, exam fees, and other expenses. Candidates might have to pay additional charges depending on the breakdown of the fee for the latest year. The total tuition fee for B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at R.N.S. Institute of Technology amounts to INR 26,00,000. Below is a detailed breakdown of the B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) fee structure at R.N.S. Institute of Technology:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 26.00 Lakh |
₹ 26.00 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Frequently Asked Questions
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
Stories
- Placements
P
Pavan Kumar S R 
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) - Batch of 2024
3.6
3Placements3Infrastructure4Faculty4Crowd & Campus Life4Value for Money
The worst infrastructure but good faculty members with good placements.
Placements: Placements are quite good. Like 50% of students get campus selected. In our course, the highest package is about 40 LPA - 42 LPA. The average package is around 7 LPA - 8 LPA. Top recruiting companies are Amazon, Google, Bosch, and many more. Maximum 80% of students got internships from a variety of companies. Most of them got placements off-campus. Top roles offered are AI development team and AI assistant.
Infrastructure: The buildings are so below average that the ceilings are leaking while we are in class. Some of the buildings are still under construction. Library and food court have the best buildings in the college. All buildings are quite old at final. The infrastructure is not good, it may be good for the future buildings.
Faculty: Faculty members are very good at teaching. They are very helpful for our career building and they are very supportive. Most of the professors are Ph.D. holders. The course curriculum is relevant to the company's needs and they make us ready for the companies. Semester exams are quite good. The pass percentage is around 80%.
Other: Most of our seniors got campus selected through an MBA. I chose this course because of my passion. This course has scope in the industry and has more job opportunities as compared to other courses. Events and fests are very frequent in our college. There will be at least one program, one skill development program, or any program that you can outstand with your skills and hackathons every month.
Reviewed on 3 Feb 2025Read More
L
Lakshan
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) - Batch of 2028
4.4
4Placements5Infrastructure4Faculty4Crowd & Campus Life5Value for Money
The college has good teachers who are friendly, good infrastructure, and good placement. Totally sat
Placements: I have heard that this college is best for placements. About 90 percent of students get placed every year, but I am still not eligible for it because I am still studying in 2nd year, 3rd semester. The highest package that was received was 50 lakhs, and the average is about 8 to 10 lakhs. Infosys, Accenture, and Microsoft have paved their way as the topmost recruiter companies. 80-90 percent of students got internships in major companies like Accenture and Microsoft as AI specialists or AI engineers.
Infrastructure: Infrastructure is good. It has well-constructed libraries with well-equipped and useful books, good connectivity of Wi-Fi, and labs are quite good with well-equipped equipment. The ambience of the college is really cool with all advanced technology and equipment.
Faculty: Teachers are highly qualified with postgraduate degrees. They are helpful, more kind, and clarify our doubts. Semester exams are not that difficult. You can easily score, and you need to maintain 40 percent to pass. They are going to teach topics related to applications of the certain course that we have taken.
Other: I chose it because of the trend in the software field and good scope in future job availability. They need to bring several changes in tertiary subjects. Like, they need to focus more on the course that we have taken. Events are good. Fest organizers are a bit delayed, but they are not going to leave us disappointed at the end. The crowd is a bit huge, but the surroundings are good and pleasant with greenery. There are several clubs that we can join like sports, dance, music, etc.
Reviewed on 2 Dec 2024Read More
View All 8 Reviews
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Students also asked
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
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KCET
KCET
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Placements
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
| Particulars | Statistics (2025) |
|---|---|
| Highest Salary | INR 41.60 Lakh |
Top Recruiters for RNS Institute of Technology BangaloreACCENTURE
Bosch Ltd
Broadridge
Ernst & Young
Infosys
NIIT
pwc
Robert Bosch
Subex
Wipro
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Entry Requirements
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
General
OBC
SC
ST
Requirements for 12th grade
- 45%
- Read more
Candidate must have passed in 2nd PUC / 12th Std / equivalent exam with Physics and Mathematics as compulsory subjects along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science as optional subjects with English as one of the languages of study and obtained a minimum of mentioned marks in aggregate in the optional subjects in the qualifying examination, from a recognized Institute/ board. (40% of marksin qualifying examination is required for Cat-1, OBC (2A, 2B, 3A and 3B category candidates)). Result awaited candidates can also apply.
KCET
Other eligibility criteria
Candidate should be a citizen of India.
NOTE: The candidates who have passed the qualifying examination other than the universities listed in the notification at VTU Website are NOT eligible and candidates who have passed from Karnataka State Open University (KSOU) are also NOT eligible.
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Admission Process
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
Important Dates
ALL
KCET
May 30, 2026
KCET Result 2026Tentative
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Cutoffs
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
3Gender
Quota
Category
KCET round-wise cutoff Rank: (General-All India)
| Round | 2024 |
|---|---|
| 1 | - |
| 2 | 17404 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2024 |
|---|---|
| 1 | 16233 |
| 2 | 20675 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2024 |
|---|---|
| 1 | - |
| 2 | 17404 |
KCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 |
|---|---|
| 1 | - |
| 2 | 20675 |
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore News & Updates
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Bangalore Contact Information
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology Bangalore
Address
RNS Institute of Technology, R R Nagar Post, Channasandra,
Bangalore ( Karnataka)
Phone
8024410021
(For general query)
8024410020
(For admission query)
Email
principal@rnsit.ac.in
(For general query)
admissions@rnsit.ac.in
(For admission query)
Go to College Website ->
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