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B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.1 /5- A+ NAAC accredited
- Private Institute
- Estd. 2001
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Student Reviews
- Placements
- Entry Requirements
- + 2 more items
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Overview
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
RNSIT offers a 4 years B.E. in Artificial Intelligence and Machine Learning programme at the UG level. The total tuition fee for the RNSIT B.E. in Artificial Intelligence and Machine Learning course is INR 26,00,000 for the complete duration. The B.E. in Artificial Intelligence and Machine Learning programme accommodates 240 students per batch.
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 | 360 |
Type of University | Private |
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Fees
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
R.N.S. Institute of Technology B.E. in Artificial Intelligence and Machine Learning fee is inclusive of multiple components, such as Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. Candidates have to pay the course fee to confirm their seat. The total tuition fee for B.E. in Artificial Intelligence and Machine Learning at R.N.S. Institute of Technology is INR 26,00,000. Detailed breakup of the R.N.S. Institute of Technology B.E. in Artificial Intelligence and Machine Learning fee is as follows:
| 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
Stories
- Placements
A
Anonymous
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.6
5Placements4Infrastructure5Faculty4Crowd & Campus Life5Value for Money
Absolutely satisfied with placements in 2025, good faculty, and infrastructure.
Placements: 80% of AIML course students are placed, the highest package is 20 LPA ongoing, the minimum is 4 LPA, and the average is 10 LPA. Top recruiting companies are Amazon, Lido, Kickdrum, Texas Instruments, Codeyoung, and Adobe. In 2025, the highest CTC is 41.642 LPA, with 43 internship offers.
Infrastructure: Facilities are of a high-level experience and are friendly; they help in guiding research and participation in competitions. Wi-Fi is available on all floors with good downloading speed, and the canteen is pocket-friendly for students with great taste, offering more space and being super clean. The library has all kinds of books for studies and computers in different rooms, and the lab is equipped with all working computers.
Faculty: Teachers are helpful, highly qualified, and knowledgeable. The quality of teaching is good. This course curriculum is relevant. It does make the students industry-ready. The semester exams are not difficult, with more than 90% passing.
Other: I chose this course because of the demand in the job industry. Events and fests are held more often, the campus is near the bus stand, and the college offers more extracurricular activities.
Reviewed on 15 Jan 2026Read More
S
Shrishant Kademani
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4
4Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
It has decent academics with average placements and a good campus environment.
Placements: In CS, CS allied branches, and ECE students usually get better placements than others. Basically, it is the same as other Tier 2 colleges. As RN Shetty has a name, we get better treatment than other colleges in tier 2. The top recruiting Companies for our course are Mind Hives, Infosys, Cognizant, Oracle, etc.
Infrastructure: Hostel amenities are considered to be average, as only the bare minimum of facilities are available. The food served in the mess is eatable. However, it is not of a very good standard. The canteen provides a few choices that are moderately priced. Health care services are minimal since only first aid and a hospital in the area are provided in case of emergencies. There are some sports facilities for both indoor and outdoor games. However, the extent to which these will be used depends on the level of enthusiasm of students.
Faculty: Faculty members at RNSIT Bengaluru are, in most cases, well-educated, seasoned, and experts in their respective fields of study. Generally, staff members are helpful and friendly, especially when internal assessments are going on and during doubt and clearing sessions. However, the quality of teaching may differ from one faculty to another. The program is based on the VTU syllabus and aims to equip students with a sound theoretical base. Still, learners have to take the initiative for self-study, doing projects, and joining internships if they want to be competent in the industry.
Other: Events organised are good for freshers. Teachers are good and kind.
Reviewed on 24 Dec 2025Read More
D
Deepak G Bhaktha
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.6
3Placements3Infrastructure4Faculty4Crowd & Campus Life4Value for Money
Best college in placement.
Placements: 3–5 LPA starting CTC is expected. More could be expected, but it is satisfactory in this situation. The organisation is doing very well to manage placements by tying up with lots of companies. Lots of placement training and internship opportunities are provided for practical knowledge and industrial exposure.
Infrastructure: Not very good, but not very bad. College infrastructure is in a similar fashion, and the build quality is good. However, inside the hostel and in some rooms, cracks in the buildings are visible due to the usage of poor-quality materials. Hostel infrastructure is not up to the level of expectations and needs improvement.
Faculty: Excellent management and transparent team. Good faculty and classrooms help us to go beyond the curriculum, with the conducting of hackathons and several competitions to boost practical knowledge and industrial exposure. Overall, a good vision, and all teaching and non-teaching related opportunities are good.
Other: College is good value for money and surely good to pursue a BE degree. There are lots of things to do apart from studies, with practice-based learning, soft skills, and placement training done to boost our practical knowledge.
.
Reviewed on 29 Nov 2025Read More
E
E S Lakshmi Shrujana
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.6
4Placements3Infrastructure4Faculty4Crowd & Campus Life3Value for Money
The infrastructure and all the facilities are just okay.
Placements: Most of all, like 70 percent of students got placed in AIML, and the Amazon company has recruited with a 50 LPA job, and many students get recruited over here. So I can tell that the main things, like Mindtree company and others, are more than 300 companies that come over here.
Infrastructure: The Wi-Fi works well in all the departments, and hostel facilities are just ok, not that good. I can suggest that you take the CSE core rather than CSE in AIML, because in this college, the main preference is for that branch, and the strength is also good.
Faculty: The teachers teach us a lot, and they are also good, and they will always be in an understandable manner, so this is an autonomous college. Internals are easy, and you can expect it from PYQs, and here, seniors are so friendly and never rag juniors. Teachers are well-experienced.
Other: The fests over here are super amazing, and you can enjoy a lot with your friends and hill over here in 1st semester.
Reviewed on 20 Nov 2025Read More
(1) 1 person found this helpfulB
BHARATH J
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Place where dream meets reality.
Placements: The highest package is 56 LPA, many 40+ LPA have been cracked by students, Amazon comes for recruitment, and many students got internships from top companies like PhonePe, etc. Project leading engineers, project leaders, and many more places are awarded for recruited students.
Infrastructure: Wi-Fi-enabled classes, 500-capacity library, classrooms with smart boards, projectors, and the best canteen with affordable-priced food. Many awards are won by students, a gym is provided in the hostel, a variety of food is given, highly advanced labs with modern PCs, which have high speed, a medical facility will always be available, and an SBI bank is available on campus.
Faculty: Teachers are highly qualified, and industry-ready students are produced every year. Sem exams are at the standard level, like applications, and student-friendly. Exams are as per the required level, as it is an autonomous college. The college has a massive auditorium, with lots of talent.
Other: I chose AIML because AI is the future, and a lot of fests are conducted to entertain students.
Reviewed on 7 Nov 2025Read More
View All 30 Reviews
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Frequently Asked Questions
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
Q: How many students can do a B.Tech CSE at RNS Institute of Technology?
A:
There are two computer sciences engineering substreams at Bangalore's RNS Institute of Technology (RNSIT), each with 60 and 120 seats.
RNSIT has 4,000+ students and 300+ faculty. It offers 19 B.E./B.Tech courses, including:
- B.E. in Civil Engineering
- B.E. in Artificial Intelligence and Machine Learning
- B.E. in CSE - Data Science
A B.E. course costs INR 8.35 Lacs in total.This comprises a charge of INR 26,800 in addition to a yearly tuition fee of INR 2,01,960.
With 80 to 90 percent of students being placed each year, RNSIT has good placement rates.The leading employers include Accenture, Amazon, Cognizant, Wipro, and.The top bundle is worth INR 56 LPA.
Q: What is the fees for B.Tech in CSE at RNS Institute of Technology?
A:
RNS Institute of Technology, Bengaluru offers undergraduate programs (B.Tech.) in Computer Science and Engineering (CSE) under three specializations- CSE, Data Science and Cyber Security. All the courses are NBA accredited and students have bagged INR 12 LPA from internships only for the year 2023. The annual fees for these courses are-
· CSE- INR 7.5 LPA
· CSE (Data Science)- INR 4.5 LPA
· CSE (Cyber Security)- INR 4.5 LPA
Q: What is the fee for BTech at RNS Institute of Technology?
A:
RNS Institute of Technology total tuition fee for BTech is INR 3.9 lakh. This information is sourced from official website/ sanctioning body and is subject to change. Candidates need to pay the course fee at the time of admission to confirm their seat in the institute. Besides, aspirants also have to pay a registration fee in the start to apply for a course.
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Q: What is the cutoff rank for RNSIT BE/ BTech?
A:
Karnataka Common Entrance Test (KCET) Seat Allotment Results are valid for RNS Institute of Technology admissions to BE/ BTech. The cutoff ranks for RNSIT BE/ BTech for the Last Round closing ranks for all BE specialisations offered by RNS Institute of Technology are tabulated below:
| Course | Last Round (Closing Rank - General-All India) |
|---|---|
| B.E. in Computer Science and Engineering | 8222 |
| B.E. in Electronics and Communication Engineering | 17104 |
| B.E. in Electrical and Electronics Engineering | 39532 |
| B.E. in Information Science and Engineering | 11410 |
| B.E.6 in Mechanical Engineering | 127975 |
| B.E. in Civil Engineering | 153918 |
| B.E. in Artificial Intelligence and Machine Learning | 13837 |
| B.E. in Computer Science and Engineering (Cyber Security) | 15274 |
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COMEDK UGET
COMEDK UGET
JEE Main
KCET
Want to know more about RNS Institute of Technology Bangalore Scholarship details?
Read about Scholarship
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Placements
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
| Particulars | Statistics (2024) |
|---|---|
| Highest Salary | INR 50.00 Lakh |
| Median Salary | INR 5.51 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 Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Entry Requirements
B.E. in Computer Science and Engineering (Artificial Intelligence 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.
JEE Main
COMEDK UGET
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 Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Admission Process
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
Important Dates
ALL
KCET
JEE MAIN
COMEDK UGET
Feb 1 - 25, 2026
JEE Main 2026 Registration Session 2
Jan 16 - Feb 27, 2026
KCET Application Form 2026
Feb 3 - Mar 16, 2026
COMEDK UGET-COMEDK Application Form 2026
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Cutoffs
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
3Gender
Quota
Category
KCET round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2023 | 2025 |
|---|---|---|---|
| 1 | 13967 | 12647 | 12586 |
| 2 | 15134 | 13837 | 15163 |
| 3 | - | - | 16199 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2022 | 2023 | 2025 |
|---|---|---|---|
| 1 | 15134 | 13483 | 14546 |
| 2 | 20844 | 16220 | 16486 |
| 3 | - | - | 17275 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 |
|---|---|---|
| 1 | 13967 | 12647 |
| 2 | 15134 | 13837 |
KCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2022 | 2023 |
|---|---|---|
| 1 | 15134 | 13483 |
| 2 | 20844 | 16220 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2023 | 2025 |
|---|---|---|---|
| 1 | 12113 | - | 21176 |
| 2 | 21511 | - | - |
| 3 | 51845 | 16926 | 33681 |
| 4 | - | - | 46906 |
COMEDK UGET round-wise cutoff Rank: (General-Home State)
| Round | 2021 | 2025 |
|---|---|---|
| 1 | 30043 | 49407 |
| 2 | 43650 | 58192 |
COMEDK UGET round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 9186 | 12113 | - |
| 2 | - | 21511 | - |
| 3 | 16068 | 51845 | 16926 |
COMEDK UGET round-wise cutoff Rank: (OBC-Home State)
| Round | 2021 |
|---|---|
| 1 | 30043 |
| 2 | 43650 |
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B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Students also asked
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
Q: What is the closing rank of COMEDK exam for RNSIT?
A:
RNS Institute of Technology cutoff 2023 for admission to the BTech course was concluded after Round 3 of COMEDK Seat Allotment result. Considering RNS Institute of Technology Round 3 cutoff, the closing ranks for BTech ranged between 11782 and 25904 for General category students. Candidates can refer to the table given below to check the closing rank of COMEDK exam for RNSIT for all specialisations for All India Quota:
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B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
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B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore News & Updates
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at RNS Institute of Technology Bangalore
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B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at RNS Institute of Technology Bangalore Contact Information
B.E. in Computer Science and Engineering (Artificial Intelligence 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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