B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.6 /5
- Private Institute
- Estd. 2011
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sree Venkateswara College Of Engineering Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
Sree Venkateswara College Of Engineering offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. To get admitted to Sree Venkateswara College Of Engineering B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course, applicants must meet the entry requirements - 45.0% in 12th. Sree Venkateswara College Of Engineering The total tuition fee for this course is INR 172000 for the entire duration of the course. The course offers admission to 180 students. To learn more about other courses offered under B.E. / B.Tech at Sree Venkateswara College Of Engineering, please visit.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹1.72 Lakh |
Seat breakup | 180 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sree Venkateswara College Of Engineering Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
Fee components | Amount (4 years) |
---|---|
The mentioned Fee is as per Andhra Pradesh State Council of Higher Education, (AP - EAPCET).
Tuition fee is calculated on the basis of 1st year. Actual amount may vary.
The fees might include componen The mentioned Fee is as per Andhra Pradesh State Council of Higher Education, (AP - EAPCET).
Tuition fee is calculated on the basis of 1st year. Actual amount may vary.
The fees might include components other than tuition fees | ₹ 1.72 Lakh |
₹ 1.72 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 Sree Venkateswara College Of Engineering Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
General
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sree Venkateswara College Of Engineering Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
3
Gender
Quota
Category
AP EAMCET round-wise cutoff Rank: (General-All India)
Round | 2022 | 2023 |
---|---|---|
1 | 78618 | 47467 |
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Read B.E. / B.Tech reviews from Sree Venkateswara College Of Engineering
Read ReviewsB.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sree Venkateswara College Of Engineering Students Ratings & Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
3.6/5
2 Verified Reviews- 3-42
Placements3
Infrastructure3.5
Faculty & Course4
Campus Life3.5
Value for Money4
C
C A Dheeraj Varma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
Offered by Sree Venkateswara College Of Engineering
3.4
3Placements3Infrastructure4Faculty3Crowd & Campus Life4Value for Money
A good college and campus of Sree Venkateswara Engineering College.
Placements: Placements are less in this college. Average salary packages are from 1.5 lakhs to 4 lakhs per year. 25% of students are placed every year in various companies like Cognizant, Tech Mahindra, Wipro, Genpact, and so on. Many students, up to 50%, got internships in various companies.
Infrastructure: Infrastructure is good, but all department students are in one building, and the construction of a new building is still ongoing. Classrooms are big and digitalized. The library is also available with many books related to the course and further studies.
Faculty: Teachers help students in solving doubts and are highly educated, having doctorates in their field of study. Teachers assist students with further studies and also prepare them for the industry, providing practical knowledge.
Other: Various fests and events are conducted in our college, and various sports events are also conducted.
Reviewed on 16 Jul 2024Read More
C
C A Dheeraj Varma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
Offered by Sree Venkateswara College Of Engineering
3.8
3Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
A journey into the campus of SVEC.
Placements: College provides placements of up to 3-4 Lacs per annum. Nearly 45-50% of students are placed in these placements. Top recruiting companies were Tech Mahindra, Cognizant, Amazon, HCL, and TCS. Top roles offered are software engineer and software executive.
Infrastructure: Nice infrastructure and campus. The campus has good labs with high-speed internet access and wide, spacious classrooms with digitalized classes. A big library with various sections of books and journals. Mess for hostelers and canteen for day scholars are also available, providing good food.
Faculty: Faculty is good and highly educated. They clarify doubts of students at any time and also guide students for their higher studies. They also prepare students for industry with practical knowledge. The semester exams are at a moderate level.
Other: Various events and fests are conducted every year. The college also gives preference to extracurricular activities and sports meets, enabling students to participate in sports at the state and national level.
Reviewed on 18 Jul 2024Read More
View All 2 Reviews
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Sree Venkateswara College Of Engineering
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at Sree Venkateswara College Of Engineering
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