B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
4.3 /5
- A+ NAAC accredited
- Private Institute
- Estd. 2001
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Overview
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
At the UG level, RNS Institute of Technology provides a 4 years B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) course to the students. The total cost for this course is INR 2400000. This course offers admission to 180 students.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹24.00 Lakh |
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 Fees
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
Fee components | Amount (4 years) |
---|---|
The fees might include components other than tuition fees. | ₹ 24.00 Lakh |
₹ 24.00 Lakh |
These are based on information available on various sources. Latest values may differ.
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Placements
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
Particulars | Statistics (2024) |
---|---|
Highest Salary | INR 41.64 Lakh |
Median Salary | INR 5.51 Lakh |
Top Recruiters for RNS Institute of Technology
ACCENTURE
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 Cutoffs
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
3
Gender
Quota
Category
KCET round-wise cutoff Rank: (General-All India)
Round | 2024 |
---|---|
1 | - |
2 | 17404 |
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Read undefined reviews from RNS Institute of Technology
Read ReviewsB.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Students Ratings & Reviews
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
4.3/5
2 Verified Reviews- 4-52
Placements4
Infrastructure4.5
Faculty & Course4
Campus Life4.5
Value for Money4.5
L
Lakshan
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) - Batch of 2028
Offered by R.N.S. Institute of Technology
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
D
Divyansh
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) - Batch of 2027
Offered by R.N.S. Institute of Technology
4.2
4Placements4Infrastructure4Faculty5Crowd & Campus Life4Value for Money
Good Faculties and College life..
Placements: I am in CSE(AI&ML) branch in which placement percentage is too good. The highest package in my branch is 41.6 LPA by VISA and average is approximately 7 LPA. Top recruiting companies are VISA, Texas Instruments, LSEG etc. Many students get PPOS and internship in Nokia of 25k.
Infrastructure: The infrastructure in my course is really good. Labs are well maintained, wifi connection is provided there and for Machine learning there is a separate system. Classrooms are really good as well as faculties are awesome and they are always available if you have any doubt related to academics.
Faculty: Teachers are really very helpful and well qualified from prestigious universities. Most of the teachers have their PHD degree and they have a deep knowledge in their subject which makes us easy to learn that subject. Semester exams are totally on that how much you are concentrated during lecture. BTW it is easy to crack.
Other: I have chosen this course because I think it is the era of Artificial Intelligence and somewhere I am much more interested in that. Campus life ,fests and extra curricular activities of this college are awesome.
Reviewed on 6 Oct 2024Read More
View All 2 Reviews
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
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B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning) at RNS Institute of Technology Contact Information
B.E. in Computer Science and Engineering (Artificial Intellegence and Machine Learning)
at RNS Institute of Technology
Address
RNS Institute of Technology, R R Nagar Post, Channasandra,
Bangalore ( Karnataka)
Phone
Email
principal@rnsit.ac.in
(For general query)
admissions@rnsit.ac.in
(For admission query)
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