Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth

B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth, Ernakulum

B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Table of contents

Overview
Fees
Placements
Entry Requirements
Admission Process

B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth
Overview

Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning) course at the UG level. To get admitted to Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning) course, applicants must meet the entry requirements - 50.0% in 12th. Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth The total tuition fee for this course is INR 900000 for the entire duration of the course. Apart from the tuition fee, students are also required to pay a one-time admission fee of INR 10000, and a hostel fee of INR 390000. The course offers admission to 60 students. To learn more about other courses offered under B.E. / B.Tech at Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth, please visit.

Total Tuition Fees	₹9.00 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Average package	₹ 3.50 Lakh
Official Website	Go to Website
Seat breakup	60

B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth
Fees

Fee components	Amount (4 years)
Tuition Fees The fees might include components other than tuition fees.	₹ 9.00 Lakh
Hostel Fees Hostel fee is calculated on the basis of 1st year. Actual amount may vary. Meal Plan is not included in mentioned fee. Hostel fee mentioned is for cheapest option available. For other options availabl Read more Hostel fee is calculated on the basis of 1st year. Actual amount may vary. Meal Plan is not included in mentioned fee. Hostel fee mentioned is for cheapest option available. For other options available, please refer to fee pdf.	₹ 3.90 Lakh
One-time Payment The mentioned fee includes Security Deposit/ Caution Deposit	₹ 10,000
Total fee	₹ 13.00 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 & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth

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B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth

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B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth
Placements

Particulars	Statistics (2025)
Average Salary	INR 3.50 Lakh
Highest Salary	INR 7.00 Lakh

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B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

50%
Must have Mathematics, Physics and Chemistry. Reserved category: minimum 45% marks in Class XII. And minimum mentioned marks for general category

JEE Main

KEAM

Other eligibility criteria Up Arrow Icon

Personal interview conducted by CVV.

Conditional Offer Up Arrow Icon

Not mentioned

B.Tech. in Computer Science and Engineering (Artificial Intelligence & Machine Learning)
at
Lalita Vidya Pratishthanam, Chinmaya Vishwa Vidyapeeth
Admission Process

Admission Process
Interested candidates can apply online/offline with the required information. Eligible candidates need to appear for the Online Entrance Test conducted by Chinmaya Vishwa Vidyapeeth. Candidates will be called for Personal Interview based on their performance in Online Entrance Test. Candidates are selected based on their performance in Interview.