B.E. in Computer Science and Engineering (AI and Machine Learning)
at Sona College of Technology, Salem

5.0 /5

(1 Review)

A++ NAAC accredited
Private Institute
Estd. 1997

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
Sona College of Technology
Overview

Sona College of Technology offers 4 years B.E. in Computer Science and Engineering (AI and Machine Learning) to the students. The course is offered at the UG level. Besides tuition fee, students also need to pay caution deposit, exam fee, etc. for admission at Sona College of Technology. The institute offers admission to 60 students in Sona College of Technology B.E. / B.Tech. Below are the details for the programme:

Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Average package	₹ 5.40 Lakh
Official Website	Go to Website
Seat breakup	90
Type of University	Private,Autonomous

B.E. in Computer Science and Engineering (AI and Machine Learning)
at
Sona College of Technology

Frequently Asked Questions

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

NIRF has ranked Sona College of Technology's B.E. / B.Tech programmes, including the B.E. in Computer Science and Engineering (AI and Machine Learning) course, at #151-200 for the 2024 academic year. However, candidates must note that this ranking is applicable to the entire B.E. / B.Tech and not just the B.E. in Computer Science and Engineering (AI and Machine Learning) course individually. Check out the details of all the rankings received by Sona College of Technology B.E. in Computer Science and Engineering (AI and Machine Learning) below:

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

5/5

1 Verified Review Info Icon

4-5
1

Placements5.0

Infrastructure5.0

Faculty & Course5.0

Campus Life5.0

Value for Money5.0

B.E. in Computer Science and Engineering (AI and Machine Learning)
at
Sona College of Technology

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

Particulars	Statistics (2024)
Average Salary	INR 5.40 Lakh
Highest Salary	INR 19.94 Lakh
% Batch placed	91
Highest International Salary	INR 33.60 Lakh

Top Recruiters for Sona College of Technology

Accenture

Cognizant

HCL

Hexaware Technologies

Infosys

L&T Infotech

Steria

TCS

Tech Mahindra

Vedanta

Wipro

View placement details

B.E. in Computer Science and Engineering (AI and Machine Learning)
at
Sona College of Technology
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 recognised 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.