B.E in Computer Science and Engineering (AI and Machine Learning)
at KPR College, Coimbatore

4.2 /5

(3 Reviews)

Private Institute
Estd. 2009

B.E in Computer Science and Engineering (AI and Machine Learning)

Table of contents

Overview
Rankings
Student Reviews
Placements
Entry Requirements
+ 2 more items

B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College
Overview

KPR College offers B.E in Computer Science and Engineering (AI and Machine Learning) programme to students at the UG level. The university offers B.E in Computer Science and Engineering (AI and Machine Learning) in Full Time mode for a duration of 4 years. As per the NIRF 2024, the institute has been ranked #101-150 under the Engineering category. Check other courses of KPR College B.E. / B.Tech. Candidates can find more details about KPR College B.E in Computer Science and Engineering (AI and Machine Learning) in the following space:

Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Average package	₹ 5.20 Lakh
Official Website	Go to Website
Seat breakup	60
Type of University	Private

B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College

Frequently Asked Questions

Stories

Courses & Fees

B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College
Rankings

According to NIRF in 2024, KPR College has held its #101-150 position for the B.E in Computer Science and Engineering (AI and Machine Learning) course for the academic year 2024. While this ranking applies to all specialisations offered under B.E. / B.Tech, not just B.E in Computer Science and Engineering (AI and Machine Learning), below, candidates can find the detailed breakdown of KPR Institute of Engineering and Technology's recent rankings for B.E in Computer Science and Engineering (AI and Machine Learning):

B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College
Students Ratings & Reviews

4.2/5

3 Verified Reviews Info Icon

4-5
2
3-4
1

Placements4.3

Infrastructure4.0

Faculty & Course4.0

Campus Life4.7

Value for Money4.0

B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College

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B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College
Placements

Particulars	Statistics (2024)
Average Salary	INR 5.20 Lakh
Highest Salary	INR 54.00 Lakh
% Batch placed	93

Top Recruiters for KPR College

Avasoft

Cognizant

HCL

Infosys

Mind Tree

Mphasis

TATA Consultancy Services

Virtusa

Wipro

Zoho

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B.E in Computer Science and Engineering (AI and Machine Learning)
at
KPR College
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

45%
Candidate must have passed HSC (10+2) or its equivalent with above mentioned marks from any recognized Board/council. Candidate 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.
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Tamilnadu 12th

ISC

CBSE 12th

Other eligibility criteria Up Arrow Icon

Candidate must have passed VIII, IX, X, XI & XII Std. from schools situated in Tamil Nadu. Tamil Nadu native candidate who have passed any of the VIII, IX, X, XI & XII Std. or their equivalent exam from schools situated outside Tamil Nadu can also apply. They should produce Original Nativity Certificate. Children of Central Government Employees, irrespective of their nativity, provided their parents or guardians (only if both parents are not alive) have been serving in Tamil Nadu continuously for the past five years can be eligible to apply. Sons & daughters of All India service Tamil Nadu cadre officers are eligible to apply. A Self declaration from the parent in this regard is to be produced. Children of employees in the Public Sector or Government recognized institutions had been working in their organisations for the past five years are also eligible, irrespective of their domicile.