B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.1 /5- Private Institute
- Estd. 1997
4.0
4.1
4.0
4.5
4.1
B
Bachu Santhosh kumar 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.6
The college has good infrastructure and facilities.
Placements: 50% of people got placed in Amazon, Infosys, and some other good companies in AIML & CSE. The lowest is 3.5 LPA, the highest is 12 LPA, and the average is 6 LPA. Some are getting placed with good packages, and some are getting placed with minimum packages based on their talent. No students got internships in our course. All are doing outside internships.
Infrastructure: All is good with the best teachers. All is good, but the food is not tasty. However, it has a very good playground and is in a good environment. There are outings on Sundays for everyone.
Faculty: All teachers are helpful in the classroom. All teachers are well-qualified, well-knowledgeable, and very friendly with students. All is good, the course is good, and the curriculum is relevant. It has industry visits for students, with an 85% pass percentage. They are well-mannered, and they are very friendly and very supportive to the students. In this college, there is a good pass percentage.
Other: I opted for this course because it has a good future. This college has a full package.
Reviewed on 7 Mar 2026Read More
B
Boda Ajay kumar
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.0
I'm satisfied with this faculty and infrastructure.
Placements: Placements are normal. 95 percent of students got placed, but the jobs are in a call center with a package of 1 LPA to 2 LPA. These are common jobs, the very least jobs above 10 LPA average package of these college students are between 3 LPA and 6 LPA. When I graduate, that package will be there or not.
Infrastructure: College ground is average, but 1st years blocks are wonderful. Some old buildings are there for lab, they are average, but the entire college is good, like Wi-Fi, library, labs, canteen, medical facilities, sports games. I like the Sreenidhi Quadra Angle, which is placed between the center of the college.
Faculty: Some of the faculty are not experienced as much, but some of them are very strict. Some of them are not experienced, but most of the faculty are experienced and strict, some faculty are lazy with knowledge and don't maintain class properly. But lab assistants are more strict than the HOD.
Other: Events are good, crowd is much better in this college, a lot of extracurricular activities are there like NSS, NCC, robotics, etc.
Reviewed on 10 Dec 2025Read More
U
Ujwal
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.0
Good college with best opportunities.
Placements: 80 percent of students are placed in our course. The packages range from 3.5 LPA to 45 LPA, with an average of 6 LPA. The top companies that recruited students from our institute are TCS, Accenture, Infosys, CTS, and Capgemini, offering roles as Frontend, Backend, and Full-Stack Developers.
Infrastructure: The department has labs, smart classes, Wi-Fi campus-wide, and a large library. The hostel is clean and has good food arrangements. PG's are also there nearby. Good medical facilities, canteens, sports complex, etc. Including cricket, football, badminton, and indoor games.
Faculty: Faculty members are qualified, helpful and knowledgeable, leading to good quality of teaching. The syllabus is industry-oriented, which helps students gain practical knowledge. Semester exams are not very hard for regular students who attend the classes regularly and complete the assignments on time. To pass the course, you need to secure a minimum CGPA of 5.
Other: I chose this course because I had an interest in software development. The best things about the course are the coding culture, placements, clubs, and fests. The college also has a great number of fests and extracurricular activities. However, there should be more industry projects.
Reviewed on 1 Aug 2026Read More
View more 38 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
Sreenidhi Institute of Science and Technology offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. As per the NIRF 2024, the course is ranked #201-300. A total of 330 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 5,20,000. Find out more about other courses under Sreenidhi Institute of Science and Technology B.E. / B.Tech.
Total Tuition Fees | ₹5.20 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Average package | ₹ 5.50 Lakh |
Official Website | Go to Website  |
Seat breakup | 330 |
Type of University | Private,Autonomous |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Rankings
- Student Reviews
- Placements
- + 3 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
The total tuition fee for Sreenidhi Institute of Science and Technology B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 5,20,000. 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 B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) need to pay the Sreenidhi Institute of Science and Technology fee to confirm their seat in the institute. Below is fee breakup for Sreenidhi Institute of Science and Technology B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
| Fee components | Amount (4 years) |
|---|---|
Tuition fee is calculated on the basis of 1st year/semester. Actual amount may vary.
The fees might include components other than tuition fees.
Mentioned fee is as per Telanagana State Council of High Tuition fee is calculated on the basis of 1st year/semester. Actual amount may vary.
The fees might include components other than tuition fees.
Mentioned fee is as per Telanagana State Council of Higher Education. | ₹ 5.20 Lakh |
₹ 5.20 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Rankings
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
As per NIRF 2024, Sreenidhi Institute of Science and Technology is ranked #201-300 for the B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course for the academic year 2024. This ranking reflects the B.E. / B.Tech courses offered by Sreenidhi Institute of Science and Technology as a whole. Find the detailed ranking information for SNIST - Sreenidhi Institute of Science and Technology in B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) below:
A
Arun
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.8
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life3.0Value for Money
College has good events/hackathons that satisfy students.
Placements: SNIST placed 60 percent of students. Packages spanned 2.7 LPA to 27 LPA, the highest. Average pay is 6 to 7 LPA. Top recruiters included Infosys, Wipro and TCS. Roles offered are software and Full Stack developers. Internship rates varied by department, e.g. strong for AIML.
Infrastructure: The department offers comprehensive facilities including reliable Wi-Fi, well-equipped labs, modern classrooms and access to a vast central library. Hostel quality is generally good with clean rooms and basic amenities. Food in the mess and canteen is considered satisfactory and hygienic. Medical facilities are available on campus for emergencies, and extensive provisions for sports and games are provided, including courts and fields.
Faculty: Faculty expertise at the institution is varied. Some members are excellent resources, while others are reported to be unhelpful and lack knowledge. The teaching quality is generally considered good but strict in its approach. This academic environment is effective in preparing students for industry demands. The difficulty level of the curriculum is manageable, making it suitable for average students.
Other: I chose AI&ML on senior advice for future-proof skills. Best aspects are hands-on learning, industry relevance, great placement opportunities and vibrant campus hackathons like Hash it out, Adastra. Wish for more practical implementation and updated lab gear. Strict attendance of 65 per cent is tough. Campus life has good connectivity, fests and scholarships.
Reviewed on 5 Nov 2025Read More
U
Uppula Sneha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.6
4.0Placements3.0Infrastructure3.0Faculty5.0Crowd & Campus Life3.0Value for Money
Not very excellent but good.
Placements: I know that good number of companies come to our college for placement drives. But students percentage of getting selected is less in these 2 years compared to previous years. The highest package is 37 LPA, it is offered by PayPal. Top role offered is SDE.
Infrastructure: Facilities of the college are decent, not upto the mark and not disappointing. There are many labs. Sufficient classrooms and other placement or training activities happen in seminar halls. Facilities in hostels depend on the hostels but are more costly and have less space.
Faculty: I only have a problem with some faculty (few). They are not qualified and not knowledgeable. Few others teach us very well with real-life examples. Course curriculum is good. Semester exams so far have been easy. Any student can easily pass the exam.
Other: Main reason to choose AIML is that the next generation is AI. So I thought it would become an added advantage if I had taken a course and been involved in those skills. SNIST is meant for numerous events. You will enjoy more and more.
Reviewed on 6 Aug 2025Read More
D
Datha sai vallabha pasunuri
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.6
4.0Placements4.0Infrastructure3.0Faculty4.0Crowd & Campus Life3.0Value for Money
I am hoping for good placements in the future.
Placements: I am the fresher, so I need to wait and watch till last year. The highest package offered is 16 LPA, and the lowest package offered is 8 LPA in my course. Companies like Amazon, Wipro, Infosys, IBM, Capgemini, Deloitte, etc., visit the college for placements. The placement rate is 78-84 percent. Roles are offered based on skills.
Infrastructure: Facilities are extraordinary. We have well-equipped labs, various department labs, and good classrooms. The library is huge, and we spend a great time in the library. The hostel facility is available for both girls and boys. The food is okay. Sports and games are superb. There is a huge ground. Indoor and outdoor games are also available here.
Faculty: Teachers are quite helpful and qualified. Their teaching quality is good, and I would rate it 3.5 out of 5. The course curriculum is very old, and I think they need to update it. Semester exams are moderate to study. The pass percentage is 30 out of 100 percent.
Other: I chose this course because it is trending now in the market. I would like to learn new skills and new opportunities. I think they need to improve some new courses in it. Events organsied are very excellent. The campus crowd is huge. Many extracurricular activities are conducted in our college.
Reviewed on 20 Jan 2026Read More
B
Bejjanki Srujan
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Satisfied with college, we can have the best campus life.
Placements: Around 70% students were placed in campus placements. In my branch, highest package is 32 LPA, lowest package is from 3 LPA, and average will be between 3 and 7 LPA. Top recruiting companies are Justpay, Zepto, Infosys, Accenture, and many more. Data analyst and software developer, etc., are roles offered.
Infrastructure: College has good infrastructure and greenery. Classrooms and labs are well maintained, and Wi-Fi is good. Every class has a Wi-Fi connection.
Library is large and spacious and has a good collection. Mess and canteen have good food and variety. Emergency and medical facilities are available. Sports and games are involved in day to day curriculum and have good facilities and grounds.
Faculty: Faculty members are highly knowledgeable and qualified. They are good at teaching and clearing our doubts. Course curriculum is relevant, but we have to prepare ourselves for industry trends. Semester-end exams are strict, and we can pass them by studying before the exams.
Other: I chose this because I was interested in AIML. Events and fests will happen on a regular basis. We are having best campus life.
Reviewed on 4 Aug 2025Read More
V
Varshini mergu
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.2
5.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Satisfied with the placements, need to improve facilities, but good infrastructure.
Placements: 39 students were placed from one section (60-65). It means 65% members are placed. Highest salary offered is 27 LPA in AIML branch, and lowest salary offered is 3 LPA. Almost all students will get the opportunity for internships from Eduskills. And some students may get a job based on their skills at any company that comes for placements. Top roles are software engineers, SDE frontend, GET, and many more.
Infrastructure: Labs don't have ACs, and in some labs, all computers don't function properly. Good Wi-Fi connection, good classrooms, and a nice library where we can enter anytime, borrow any book, and read. Coming to hostel, I rate the food 4, but I rate rooms 5 out of 5 because rooms are really very spacious. We have 2 washrooms, 2 washbasins for 4 members, a balcony, and a perfect playground to play any games. Bats and shuttles are available. Good medical facilities are also available.
Faculty: Teachers have a lot of knowledge. But some teachers can not teach well. But everyone is available if we have any doubts. Course curriculum is good. They are industry related. We can pass the exams by reading one day before the exam itself. Not that stressful. 90% students pass the exams.
Other: I chose this course because AI is everywhere, and it's the best choice. Maybe more facilities should be there. There are a lot of fests. And coming to clubs, Sreenidhi is known for clubs. Maybe it has highest number of clubs of all colleges in Telangana. So the clubs arrange the fests. Scholarships are available. They encourage a lot of extracurricular activities (not much for 1st years). Everything is so fine.
Reviewed on 12 Jul 2025Read More
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
| Particulars | Statistics (2021) |
|---|---|
| Average Salary | INR 5.50 Lakh |
| Highest Salary | INR 38.00 Lakh |
| Median Salary | INR 4.43 Lakh |
| % Batch placed | 87 |
Top Recruiters for SNISTAdobe
Amazon
Apps Techno
Axis Bank
BAJAJ Allianz
CapGemini
Cisco Systems
Cognizant
Comm Vault Systems
Dell
Deloitte
Face Academy for Career Enhancement
Google
HCL
HDFC Bank
Hyundai
IBM
IndiaMART InterMESH
Infosys
Infotech
Intergraph
L T
L T Finance
Larsen and Toubro
Mahindra Satyam
Oracle
Samsung
Tata teleservicesLtd
Tech Mahindra
Technoplanet
Toshiba
Wipro
Zomato
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
General
Requirements for 12th grade
- 45%
- Read moreCandidate must have passed 10+2 Examination with Mathematics, Physics and Chemistry(PCM) as optional or related vocational courses in the fields of Engineering and Technology, conducted by the Board of Intermediate Education, Telangana / Andhra Pradesh, along with bridge course or courses conducted by it for candidates enrolled from academic year 2000-2002 onwards, or any other examination recognized as equivalent thereto by the Board of Intermediate Education, Telangana / Andhra Pradesh. Candidate must have scored minimum mentioned marks in the subjects specified (PCM) taken together at 10+2 pattern. (40% marks for candidates belongs reserved Category in the subjects specified (PCM) taken together at 10+2 pattern). Appearing candidates for the final year of Intermediate Examination (10+2 pattern) with same above subjects, are also eligible.
TS EAMCET
Other eligibility criteria
Candidate should be of Indian Nationality or Persons of Indian Origin (PIO) / Overseas Citizen of India (OCI) Card Holders.
Candidate should belong to the state of Telangana / Andhra Pradesh.
Candidates should have completed 16 years of age, as on 31st December of the year of admission. There is no upper age limit.
Candidate are also eligible who have passed or appeared at the final year of the Diploma examination in Engineering conducted by the State Board of Technical Education and Training, Telangana / Andhra Pradesh or any other examination recognized as equivalent thereto by the State Board of Technical Education and Training, Telangana / Andhra Pradesh.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
Important Dates
ALL
TS EAMCET
Feb 19 - Apr 4, 2027
TS EAMCET Application Form 2027Tentative
Apr 6 - 8, 2027
TS EAMCET 2027 form correctionTentative
Apr 10, 2027
TS EAMCET Last date for submission of Online Applications with Late Fee of Rs. 250/-Tentative
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
3Gender
Quota
Category
TS EAMCET round-wise cutoff Rank: (General-All India)
| Round | 2023 |
|---|---|
| 1 | 4661 |
TS EAMCET round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 | 2026 |
|---|---|---|---|
| 1 | 13194 | 8540 | 9822 |
| 2 | - | 9301 | 11454 |
| 3 | - | - | 11454 |
TS EAMCET round-wise cutoff Rank: (OBC-All India)
| Round | 2023 |
|---|---|
| 1 | 14741 |
TS EAMCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 |
|---|---|
| 1 | 33384 |
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at SNIST
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SNIST Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SNIST
Address
Sreenidhi Institute of Science and Technology, Yamnampet
Hyderabad ( Telangana)
Phone
9640666612
(For general query)
4027633349
(For admission query)
Go to College Website ->
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