M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at VIT Vellore, Vellore

A++ NAAC accredited
Deemed University
Estd. 1984

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Overview

VIT Vellore offers M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PG level. The duration of the course is 2 years. As stated by the NIRF 2024 ranking, the course ranked at #11. To confirm their admission into the college, students need to pay a one-time admission fee of INR 3,000. Along with that, hostel fee of INR 2,37,400 is to be paid by students who seek hostel facilities at the campus. Moreover, the total tuition fee for M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission at VIT Vellore is INR 3,80,000, which is valid for the entire duration of the course. Students can also check the other VIT Vellore M.E./M.Tech courses.

Total Tuition Fees	₹3.80 Lakh Get Fees details
Duration	2 years Get Curriculum
Course Level	PG Degree
Mode of Course	Full Time
Average package	₹ 9.90 Lakh
Official Website	Go to Website
Seat breakup	72
Type of University	Deemed

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

Table of content

Overview
Fees
Rankings
Curriculum
Student Reviews
+ 3 more items

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Fees

VIT Vellore has a well-defined fee structure, which includes various components. The major part of the VIT Vellore M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee comprises tuition fee. Other than this, other fee components, such as exam fees, on-time admission fees, registration fees, etc. are also included in the total fee structure. In addition, the total fee structure of VIT Vellore M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) has refundable and non-refundable components as well.

Fee components	Amount (2 years)
Tuition Fees Tuition fee is calculated on the basis of 1st year. Actual amount may vary. Mentioned fees is for category 1. Tuition Fees for category 2 is INR 598000.	₹ 3.80 Lakh
Hostel Fees Hostel fee is calculated on the basis of 1st year. Actual amount may vary. Hostel fees is for the year 2024 Hostel fee mentioned is for cheapest option available. For other options available, please r Read more Hostel fee is calculated on the basis of 1st year. Actual amount may vary. Hostel fees is for the year 2024 Hostel fee mentioned is for cheapest option available. For other options available, please refer to fee pdf. The fees might include components other than hostel fees. Meal Plan is included in the mentioned fee.	₹ 2.37 Lakh
One-time Payment One time payment includes caution deposit.	₹ 3,000
Total fee	₹ 6.20 Lakh

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

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Highlights

Placements

Infrastructure

Campus Life

Ranking

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Rankings

As per the NIRF rankings of 2024, VIT Vellore is ranked #11 for its M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course for the academic year 2024. The ranking pertains to the M.E./M.Tech courses by VIT Vellore, not just M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). You can find the ranking details for VIT Vellore in M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) below:

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Curriculum

The curriculum PDF comprises semester-wise course structure, electives, assessment strategies, and thorough course material. The up-to-date VIT Vellore M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) curriculum can be downloaded by clicking the link below:

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M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028

Offered by VIT Vellore

4Placements5Infrastructure4Faculty3Crowd & Campus Life4Value for Money

In vit vellore have good placemets if you are hardworking student and faculties is excellent

Placements: I don't know the exact placement but I heard and vit claims this year above 7000 are offers are gave from companies and all and approximately 6000 students are placed and then the highest package is 1.2 crores and the lowest package is 3.5 L and average is 9.24L. And top recruiting companies is Samsung, Deloitte Media tek and accenture In vit all students are must required for internship it is necessary to all students .

Infrastructure: In vit Vellore Wi-Fi are very good 4g, 5g are Wi-Fi are very decent speed but only case is after 12:30 AM to 4 AM is Wi-Fi is off and then in classroom are very good furniture light and Projecture and last in vit Vellore library is best part I observed all types of books are available and also book issue is allowed and very quite environment in library.

Faculty: In vit all teachers are good and teachers helps to students all teachers are knowledgeable and teachers are hardworking for the teaching and then I am in 1st year in first semester all other colleges have same curriculum but in second semester I choose the other courses for industry related this is very helpful and then semester exam is quite difficult from other colleges in vit three types of exam CAT 1, CAT 2 and FAT and FAT is very important overall passing criteria is 50 percent is required for passing the subject.

Other: I am very interested in artificial intelligence then I choose CSE (AI and ML) best thing in this course is in future ai is very demanding. In vit Vellore fest is very good all days are event but only issue is more than average crowd. Vit Vellore have many types of scholarships are provided .

Reviewed on 2 Nov 2024Read More

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

Frequently Asked Questions

Q: Is MTech from VIT Vellore worth it?

ShikshaGPT says

VIT is the 8^th best University Category, 11^th Best Research and the 11^th best Engineering institution of India in 2023 NIRF Ranking published by the Ministry of Education, Govt. of India. As for the placement record the highest package and average package offered during VIT Vellore placements 2023 stood at INR 1.02 crore per annum and INR 9.23 LPA, respectively. Further, 4,461 super dream offers and 3,453 dream offers were received during VIT Vellore placements in 2023. The top recruiters of VIT Vellore in 2023 included Mircosoft, Amazon, PayPal, Cisco, Bank of America, etc.

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Read about Scholarship

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Placements

Particulars	Statistics (2024)
Average Salary	INR 9.90 Lakh
Highest Salary	INR 88.00 Lakh

Top Recruiters for VIT Vellore

Adobe

Cisco Systems

DE Shaw

Google

IBM

Infosys

Intel

KPMG

Microsoft

Nvidia Corporation

PayPal

Philips India

Samsung

Texas Instrument

Wipro

View placement details

M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
VIT Vellore
Entry Requirements

General

Graduation Up Arrow Icon

60%
Candidates who have completed B.E/ B.Tech Degree in any Branch with the mentioned marks or First class from any recognized University/Institute are eligible.

Final year students can also apply on a provisional basis.

VITMEE

Other eligibility criteria Up Arrow Icon

Candidates who have completed M.S / M.Sc. Computer Science or IT or Software Engineering / MCA / Int. M.Tech CSE, any Computer Science related branches/ Int. M.Sc Computer Science, Software Engg., IT, Software Tech., Data Science with 60% marks or First class from any recognized University/Institute are eligible.

Final year students can also apply on a provisional basis.

Note: The applicant for admission should be a Resident Indian National and should have graduated from Institutions located in India. Foreign and NRI/ PIO applications are to be made separately.