M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Amrita School of Engineering, Amritapuri, Amritapuri

4.4 /5

(1 Review)

A NAAC accredited
Private Institute
Estd. 2002

4.0

Placements

3.0

Infrastructure

5.0

Faculty & Course

5.0

Campus Life

5.0

Value for Money

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M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027

4.4

I cannot say I am dissatisfied with the college but there are some pros and cons.

Placements: My college provides help in the placement process for both preparation and cracking a job. I am a second-year student but I can proudly say that I already got an internship. Like me many of them got internships. I don't know about the percentage of placements, but during an interaction with a senior, I got to know that placements are good. Many students got decent packages.

Infrastructure: Classrooms are good. They are equipped with Wi-Fi routers. There is sufficient equipment for digital presentations. The college also provides e-library services and library services. Hostels are good but if we are not from Kerela, we cannot eat the mess food.

Faculty: Many teachers are knowledgeable and they work on different projects to publish journal papers and conference papers. Unlike other colleges, we don't have to study completely on our own and teachers will assist us. The course curriculum is made in such a way that we will be able to adapt to any company as we will have a strong foundation in all core areas.

Reviewed on 21 May 2025Read More

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

Table of contents

Overview
Fees
Curriculum
Student Reviews
Placements
+ 2 more items

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Overview

Amrita School of Engineering offers a 2 years M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the PG level. A total of 24 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 3,18,000. Find out more about other courses under Amrita School of Engineering M.E./M.Tech.

Total Tuition Fees	₹3.18 Lakh Get Fees details
Duration	2 years Get Curriculum
Course Level	PG Degree
Mode of Course	Full Time
Average package	₹ 9.20 Lakh
Official Website	Go to Website
Seat breakup	24
Type of University	Private

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Fees

The total tuition fee for Amrita School of Engineering M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 3,18,000. Besides, the fee also includes other components, such as exam fee, caution deposit, enrollment fee, etc. Some of the fee components, such as caution deposit are one-time payable. Candidates after getting admission in M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) need to pay the Amrita School of Engineering fee to confirm their seat in the institute. Below is fee breakup for Amrita School of Engineering M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):

Fee components	Amount (2 years)
Tuition Fees	₹ 3.18 Lakh
Hostel Fees The fees might include components other than hostel fees. Meal Plan is included in mentioned fee.	₹ 1.40 Lakh
One-time Payment One-time payment includes Caution Deposit.	₹ 5,000
Total fee	₹ 4.63 Lakh

These are based on information available on various sources. Latest values may differ.

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M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri

Frequently Asked Questions

Stories

Admission Process

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Curriculum

The curriculum PDF includes semester-wise course structure, electives, assessment strategies, and comprehensive course material. Interested students can examine the course curriculum below in order to register for admission to this course. By clicking the link below, the most recent Amrita School of Engineering M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) curriculum can be downloaded:

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Students Ratings & Reviews

4.4/5

1 Verified Review Info Icon

4-5
1

Placements4.0

Infrastructure3.0

Faculty & Course5.0

Campus Life5.0

Value for Money5.0

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri

Students also asked

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M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Placements

Particulars	Statistics (2024)
Average Salary	INR 9.20 Lakh
Highest Salary	INR 56.95 Lakh

Top Recruiters for Amrita School of Engineering, Amritapuri

Amazon

Cognizant

Dell

Ford Motors

Google

IBM

Idea Cellular Services

Oracle

SAP

Wipro

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M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Entry Requirements

General

Graduation Up Arrow Icon

60%
Candidates passed B. E. / B. Tech. (Computer Science, Information Technology, Electronics and Communication, Electrical and Electronics, Electronics and Instrumentation, Information Science) from recognized university or institution are eligible to apply.

GATE

Other eligibility criteria Up Arrow Icon

Candidates who have MCA, M. Sc. Computer Science, M. Sc. IT, M. Sc. Software Engineering from recognized university are also eligible to apply.

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Amrita School of Engineering, Amritapuri
Admission Process

Register and Apply
Interested candidates can apply online/ offline with the required information.
Personal Interview
Shortlisted candidates will be called for personal interview based on marks obtained in the graduation. GATE qualified students need not to appear for the personal interview.
Final Selection
Candidates are selected based on marks obtained in graduation and performance in the personal interview (except GATE qualified candidates).