B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.8 /5- Private Institute
- Estd. 2009
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
KIIT School of Computer Engineering offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. KIIT School of Computer Engineering B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission is based on entry requirements - 60.0% in 12th. The total tuition fee for this course is INR 1600000 for entire duration of the course. Apart from the tuition fee, students are also required to pay hostel fee of INR 239000 and an one-time admission fee of INR 75000. Check other courses of KIIT School of Computer Engineering B.E. / B.Tech.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹16.00 Lakh |
Average package | ₹6.50 Lakh |
Official Website | Go to Website  |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 16.00 Lakh |
Hostel fee mentioned above is for cheapest option available. For other options available, please refer to fee pdf. The fees might include components other than hostel fees. Meal Plan is not included i Hostel fee mentioned above is for cheapest option available. For other options available, please refer to fee pdf. The fees might include components other than hostel fees. Meal Plan is not included in mentioned fee. | ₹ 2.39 Lakh |
One-time payment includes Counselling, Registration, Admission kit and Laptop charges. | ₹ 75,000 |
₹ 19.14 Lakh |
These are based on information available on various sources. Latest values may differ.
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
| Particulars | Statistics (2023) |
|---|---|
| Average Salary | INR 6.50 Lakh |
| Highest Salary | INR 63.00 Lakh |
| Median Salary | INR 7.50 Lakh |
| % Batch placed | 95 |
Top Recruiters for KIIT School of Computer EngineeringACCENTURE
arcelor mittal
Bain and Company
CGI Information Systems and Management Consultants
Cognizant
Cybage
Hindustan Unilever
HSBC
Infogain
MAQ software
Mind Tree
Tata Power
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
General
Requirements for 12th grade
- 60%
- Read more
Candidates who have passed 10+2 examination in 2022, 2023 or appearing in 10+2 examination in 2024 with at least mentioned marks in Physics, Chemistry and Mathematics taken together are only eligible to apply for the course. Should have studied in regular full-time formal education in their schooling/college.
KIITEE
- N/A
Other eligibility criteria
Candidates should have born on or after 01.07.2003.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
Important Dates
Jun 18 - 23, 2023
fee submission date for admission
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Read B.E. / B.Tech reviews from KIIT School of Computer Engineering
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Students Ratings & Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
3.8/5
1 Verified Review- 3-41
Placements3
Infrastructure5
Faculty & Course4
Campus Life3
Value for Money4R
Rohit Kumar Patnaik
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
Offered by KIIT School of Computer Engineering, Kalinga Institute of Industrial Technology
3.8
3Placements5Infrastructure4Faculty3Crowd & Campus Life4Value for Money
KIIT Review by Rohit Patnaik
Placements: KIIT College has a training and placement cell that provides on-campus placements to students with a decent package. Currently, many students are getting placed with an average package of 9 LPA CTC. The highest package at KIIT is 52 LPA CTC in the year 2023-24 and 64 LPA CTC in the year 2022-23.
Infrastructure: The infrastructure is excellent, with world-class buildings. The classes are held in many different campuses, such as Campus 3, Campus 8, Campus 15, and Campus 12, for specific courses. There is a smart board available, the classes are neat and clean, and the timings are quite decent for 1st-year students. The Wi-Fi system is a bit slow on mobile phones, but the speed is very high for laptops and bigger devices. The KIIT central library is one of the major attractions for students due to its advanced systems and maintenance. In the 1st year, the boys are allotted KP-7AB hostel for 3-bedded non-AC rooms. This hostel is very large and is exclusively for freshers. It is well-maintained and has a large mess. Our hostel also has a library where students can study. Overall, the hostel life and college life are decent.
Faculty: The faculty members are highly qualified in their respective domains and provide the best education to the students. The majority of the faculty members are very supportive, clearing every doubt, providing study materials, and solving many problems that students face. The courses provided here are quite relevant, but there are certain subjects that play no role in computer engineering, such as Biology and Environmental Science. These are only present for exposure to the students, but the rest of the subjects are relevant to the engineering discipline. The difficulty of semester exams varies; some students face many difficulties, while others have no difficulties and secure very good grades. The passing percentage is 33%.
Other: I chose this course because I am quite interested in learning about artificial intelligence and machine learning, and also due to the rise in the trend of this domain in the market. I would wish that students pursuing Computer Science would not need to study subjects that are irrelevant to this field, like Biology, EVS, and Chemistry. It would be more appreciable if these subjects were not taught in the 1st year. The campus has a huge crowd, with around 5000 students in our batch, but still, this campus is large enough that people can't explore the entire institute. The extracurricular facilities are excellent here, including sports facilities, clubs, and societies. Fests are organized every year, and famous personalities like actors and singers are invited as guests. Many competitions are held for the students. Overall, this university is good for students to develop their personalities, explore, and discover themselves.
Reviewed on 23 Nov 2024Read More
View 1 Review
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at KIIT School of Computer Engineering
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KIIT School of Computer Engineering Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at KIIT School of Computer Engineering
Address
University Campus 15 Road, Chandaka Industrial Estate, Patia
Bhubaneswar ( Orissa)
Phone
06742741747
(For general query)
06742742103
(For admission query)
Email
Go to College Website ->
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