B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.8 /5- A++ NAAC accredited
- Private University
- Estd. 1986
4.5
5.0
5.0
4.5
5.0
H
Harsh Sharma 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.6
Satisfied with this college.
Placements: The highest placement package is 26.4 LPA, the lowest is 4 LPA. Compulsory internships. Google, Cisco, Infosys, and top companies recruit. Approximately 75 to 80% are placed in our college. The average package is 8 to 12 LPA. Most faculty hold a Ph.D., and teaching is also very good.
Infrastructure: 24/7 Wi-Fi, 24/7 library, well-educated faculty. We have high-tech classrooms like smart boards and projectors, and we need laptops for our classrooms. The washrooms and infrastructure are very neat and clean. For 2026-27, admissions are open right now. It also has good weather.
Faculty: Exam levels are easy to moderate based on your study. Teachers are also very good at teaching, polite, kind, and humble. We have CTC (Computer Technology Centre), which has the latest devices for our use, Macs, and many more. We have our internals in CTC.
Other: We have many events, fest and fun activities always going on in the campus and hostels. We have a gym and a sports place.
Reviewed on 27 Feb 2026Read More
C
Cherukuri Haswitha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
5.0
Satisfied because of the faculty, good placements in 2024, and the infrastructure and facilities.
Placements: Nearly 80% of students are placed in our courses. The highest package is 20 LPA, the lowest package is 4 LPA, and the average package is 8.5 LPA. The top recruiting companies are Amazon, Cognizant, Hexaware, Deltax, etc. 50% of students got internships in our course through respective interviews.
Infrastructure: The facilities provided in our college include Wi-Fi, classrooms, a library, a canteen, a CAD lab, and a bookshop. The facilities in our hostel include Wi-Fi, CCTV, and food. The food in the canteen is nice, with reasonable prices and good quality. Medical facilities are also available on our college campus. In the hostel, we have different messes according to the regions from where students come, such as Andhra mess, Kerala mess, North mess, etc.
Faculty: Teachers are experienced with high qualifications. With so much experience, the way they teach is very useful and helps us in semester exams. The course I have taken is relevant to my future. The difficulty level of our exams is very easy to pass. The pass percentage is 80 to 85%. Daily, they take feedback from students about faculty teaching.
Other: This is now trending and also my interest, so I have chosen this course. The things I need to improve are teaching methods. The events conducted in our college are very interesting and supportive. It is one of the biggest opportunities for every student. They also provide scholarships based on marks.
Reviewed on 18 Aug 2025Read More
R
M
Rachel +6 othersfound this accurate
ⓘ
M
Melvin Philip
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.0
Good and best architecture .
Placements: In the CSE division, about 86.6% of eligible students in the 2025 batch got placed. The highest salary reported: ~ ?23.6 LPA. For AI & ML division: ~83.2% placement, the highest ~13.5 LPA. For ECE division: ~73.3% placed, the highest ~9.5 LPA. Mechanical engineering in 2024-25 had students placed at companies such as Gestamp Automotive Chennai Pvt Ltd, Delhi? TVS Technologies etc. The placement process includes training in soft-skills, aptitude, etc.
Infrastructure: Hostels are on-campus and the university is largely residential:? Students are house in thirteen different, well-furnished hostels with all the necessary facilities provided within the campus. ? For men? S hostels alone: 9 separate residence, accommodation ~5,200 boys in single, double & four-B.Ed rooms. Rooms: single seater, two/double seater, four seater and in some cases six seater in certain hostels. For example the? Bethany Residence? Has 190 single, 83 four-seater, 12 six-seater rooms.
Faculty: The curriculum is designed based on programme Educational Objective (PEOs) and programme Outcome (POs), following guidelines from All India Council for Technical Education (AICTE). There are established bodies for this: a Curriculum Development Cell (CDC), a Board of Studies (BoS) with faculty + industry experts + alumni, and then the Academic Council / Board of Management for final approval. They follow a Choice Based Credit System (CBCS) in many departments, giving some flexibility in electives. For example, the Electrical & Electronics Engineering department states that.
Other: Karunya Institute of Technology and Sciences (KITS) in Coimbatore is a private, fully residential university recognised by the UGC and approved by AICTE. It holds an NAAC A+ grade and ranks within the 151?200 band in NIRF 2024 for engineering. The campus spans over 700 acres at the foothills of the Siruvani range, offering a peaceful environment with modern academic and residential facilities.
Reviewed on 28 Oct 2025Read More
View more 3 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Rankings
- Student Reviews
- Placements
- + 2 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
Karunya University offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. As per the NIRF 2024, the course is ranked #101-150. A total of 180 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 12,14,000. Find out more about other courses under Karunya University B.E. / B.Tech.
Total Tuition Fees | ₹12.14 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.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
The total tuition fee for Karunya University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 12,14,000. Besides, the fee also includes other components, such as exam fee, caution deposit, enrollment fee, etc. Some of the fee components, such as caution deposit are one-time payable. Candidates after getting admission in B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) need to pay the Karunya University fee to confirm their seat in the institute. Below is fee breakup for Karunya University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
| Fee components | Amount (4 years) |
|---|---|
Tuition fee is calculated on the basis of 1st year. Actual amount may vary. | ₹ 12.14 Lakh |
The fees might include components other than hostel fees.
Hostel fee mentioned above is for cheapest option available. For other options available, please refer to fee pdf.
Meal Plan (cheapest) is inc The fees might include components other than hostel fees.
Hostel fee mentioned above is for cheapest option available. For other options available, please refer to fee pdf.
Meal Plan (cheapest) is included in mentioned fee. | ₹ 2.81 Lakh |
One-time payment includes Admission Fee. | ₹ 10,000 |
₹ 15.05 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Rankings
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
NIRF ranked Karunya University #101-150 for its B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program for the academic year 2024. Note that the ranking pertains to the B.E. / B.Tech courses offered by Karunya University rather than only the B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). All relevant details of Karunya Institute of Technology and Sciences's rankings for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) are presented below:
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Students Ratings & Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
4.8/5
2 Verified Reviews- 4-52
Placements4.5
Infrastructure5.0
Faculty & Course5.0
Campus Life4.5
Value for Money5.0B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
Want to know more about Karunya University Scholarship details?
Read about Scholarship
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
Top Recruiters for Karunya UniversityAccenture
Amazon
Asian Paints
Bosch Ltd
CapGemini
Cognizant
Federal Bank
Grant Thornton
HP
IDFC
Infosys
ITC
JP Morgan Chase
TCS
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
General
Requirements for 12th grade
- 60%
- Read more
Students must have done HSC (10+2) or its equivalent with above mentioned marks from any recognised Board/council. Students who have passed HSC i.e., 10+2 in any one of the Vocational Subject (Basic Mechanical Engineering/ Basic Electrical Engineering/ Basic Electronics Engineering/ Basic Civil Engineering/ Basic Automobile Engineering/ Textile Technology) with any one of the Engineering related subjects namely Mathematics, Physics or Chemistry with above mentioned minimum average percentage put together are also eligible to apply.
KEE
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
Important Dates
ALL
KEE
Oct 28, 2025
KEE 2026 registration start date
Jan 10 - 11, 2026
KEE 2026 slot 1 Exam Date
Apr 10 - 12, 2026
KEE 2026 slot 2 Exam Date
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
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at Karunya University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Karunya University Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Karunya University
Address
Karunya Institute of Technology and Sciences, Karunya Nagar
Coimbatore ( Tamil Nadu)
Go to College Website ->
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