B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sreyas Institute of Engineering and Technology, Nagole

4.6 /5

(23 Reviews)

Private Institute
Estd. 2011

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

Table of contents

Overview
Fees
Student Reviews
Placements
Entry Requirements
+ 2 more items

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Overview

Sreyas Institute of Engineering and Technology offers a B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course of 4 years duration. It is B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course provided in Full Time mode. The total fee of the programme has multiple components, such as one-time fee, and hostel fee. To confirm their admission into the programme, candidates will have to pay a tuition fee of INR 4,24,000. The course offers admission in 180 seats to aspirants. Checkout the table below to get an overview of B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sreyas Institute of Engineering and Technology:

Total Tuition Fees	₹4.24 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	240
Type of University	Private

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Fees

Sreyas Institute of Engineering and Technology B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is cumulative of several elements, such as Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. The B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sreyas Institute of Engineering and Technology tuition fee is INR 4,24,000. Candidates might have to pay specific extra charges to the institution. More information around Sreyas Institute of Engineering and Technology B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee breakup is as follows:

Fee components	Amount (4 years)
Tuition Fees Tuition fee is calculated on the basis of 1st year. Actual amount may vary. The fees might include components other than tuition fees.	₹ 4.24 Lakh
Total fee	₹ 4.24 Lakh

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

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology

Frequently Asked Questions

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Students Ratings & Reviews

4.6/5

16 Verified Reviews Info Icon

4-5
14
3-4
1
2-3
1

Placements4.6

Infrastructure4.6

Faculty & Course4.6

Campus Life4.8

Value for Money4.4

Gouthami

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026

5.0

5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money

My college is really very beautiful.

Placements: In my college, more than 70% of students are placed, and the highest package is 11 LPA and the lowest is 3 LPA. The recruiting companies are Amazon, Infosys, and Accenture. The above 70% of students are placed in Amazon, and the roles offered are the manager.

Infrastructure: Facilities and infrastructure are very good. The college management renovates the campus every year, and Labs and systems are very good. The quality of the hostel is very high, and they maintain very high hygiene. The food for students is also of good quality. Sports happen every month, and medical facilities are also good.

Faculty: Teachers are very helpful to students and are supportive in academics. Faculty members are qualified and very knowledgeable, and the teaching quality is rated 8/10. The curriculum is highly relevant to students' future, and we are autonomous, they can change the curriculum as they want. The difficulty level and the pass percentage are 65%.

Other: I am very interested in this course, and it is booming because the future is in AI & ML. There is nothing to improve in the course because it is very better for learning. Events and fests are held every year, and scholarships are given to those who have a caste certificate.

Reviewed on 8 Mar 2025Read More

Chandrashekhar Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026

4.6

5Placements5Infrastructure4Faculty5Crowd & Campus Life4Value for Money

The infrastructure is really good, and the campus is a greenery.

Placements: In my college, more than 70% of students are placed, and the highest package is 12 LPA in my college, and the lowest is 4 LPA. The recruiting companies are Amazon, Infosys, and Accenture. The above 70% of students are placed in Amazon, and roles offered are for freshers.

Infrastructure: Facilities and infrastructure are very good. The college management renovates every year. Labs are very good. The quality of the hostel is very high in my college hostel, and they maintain very high hygiene in the food for students. The sports events are happening every month, and the medical facilities are also good.

Faculty: Teachers are very helpful to students, and they are very helpful in academics. Faculty members are qualified and knowledgeable, and the teaching quality is 10/10. The curriculum is very relevant to students' futures, and since we are autonomous, we can change the curriculum as they want. The difficulty level and the pass percentage is 70%.

Other: I am very interested in this course, and it is booming, as the future is on AI & ML. There is nothing to improve in the course because it is very good for learning. Events and festivals are done every year, and scholarships are given to the people who pass the EAMCET.

Reviewed on 8 Mar 2025Read More

View All 23 Reviews

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology

Students also asked

Download exam sample paper

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Placements

Top Recruiters for Sreyas Institute of Engineering and Technology

ADP

AIS

Amazon

Aptean

Cognizant

Cyient

Epic Research

Genpact

Hexaware Technologies

ICICI Prudential

Infosys

Jaro Education

just dial

Karvy Consultants

Mind Tree

Oracle

SYNTEL

TATA Consultancy Services

Virtusa

Wipro

View placement details

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

50%
Candidate must have passed the Intermediate Examination of the Board of Intermediate Education, Government of Telangana with Mathematics, Physics, and Chemistry as optional subjects, or any other 10+2 level examination recognized by the Board of Intermediate as equivalent thereto with mentioned marks and in the case of the reserved category 45% marks are required.
Read more

TS EAMCET

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Admission Process

Important Dates

ALL

TS EAMCET

May 18 - 31, 2026

TS EAMCET 2026 result

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Sreyas Institute of Engineering and Technology
Cutoffs

Gender

Quota

TS EAMCET round-wise cutoff Rank: (General-All India)

Round	2021	2022	2023
1	43005	23064	24748

TS EAMCET round-wise cutoff Rank: (General-Home State)

Round	2023	2024	2025
1	44977	38007	30312
2	-	-	30999

TS EAMCET round-wise cutoff Rank: (OBC-All India)

Round	2021	2022	2023
1	79337	69476	45592

TS EAMCET round-wise cutoff Rank: (OBC-Home State)

Round	2023
1	85951

View Cutoff Details

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