B.E. in Computer Science and Engineering (AI and Machine Learning)
at S.A. Engineering College, Thiruverkadu

A NAAC accredited
Private Institute
Estd. 1998

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

Table of contents

Overview
Fees
Placements
Entry Requirements
Admission Process
+ 1 more item

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

B.E. in Computer Science and Engineering (AI and Machine Learning) at S.A. Engineering College is a 4 years course offered at the UG level. To get admitted to the B.E. in Computer Science and Engineering (AI and Machine Learning) course at S.A. Engineering College, applicants must meet the academic qualifications requirements. The total S.A. Engineering College B.E. in Computer Science and Engineering (AI and Machine Learning) tuition fee is INR 2,00,000. The course offers admission to 60 students. For more insights about S.A. Engineering College B.E. in Computer Science and Engineering (AI and Machine Learning), candidates can refer the following table:

Total Tuition Fees	₹2.00 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	60
Type of University	Private

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

S.A. Engineering College B.E. in Computer Science and Engineering (AI and Machine Learning) fee structure is obtained by collating various components such as the Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. The total expenset may vary, depending on the additional charges of the S.A. Engineering College. The total tuition fees of B.E. in Computer Science and Engineering (AI and Machine Learning) is INR 2,00,000. Tabulated below are more details about S.A. Engineering College B.E. in Computer Science and Engineering (AI and Machine Learning) fee breakup:

Fee components	Amount (4 years)
Tuition Fees The fees might include components other than tuition fees. Mentioned fee is as per Tamil Nadu Engineering Admission (TNEA).	₹ 2.00 Lakh
Total fee	₹ 2.00 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 (AI and Machine Learning)
at
SAEC

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

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

Particulars	Statistics (2024)
Median Salary	INR 3.50 Lakh
% Batch placed	90

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