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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.0 /5- Public/Government Institute
- Estd. 2012
2.0
3.0
3.0
3.0
4.0
B
bharadhwaja thota
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.2
It is a very good college to join.
Placements: I graduated in the year 2028 from the CSE (artificial intelligence and machine learning) course at this college. Around 85% of students got placed with the highest package of 40 LPA. The average package is 4 LPA. Top recruiting companies for our course are Amazon, Microsoft, Infosys, and PwC.
Infrastructure: Our course has excellent Wi-Fi, modern labs, smart classrooms, and a rich library. Hostels are clean with good food in the mess. Medical support, sports, gym, and indoor games facilities are also well-maintained and easily accessible, offering a balanced campus life.
Faculty: Faculty members are highly qualified and helpful. They teach us with a practical approach. The course curriculum is industry-relevant, covering modern technologies. Semester exams were moderately difficult, and the pass percentage is 60-70%. They also make students well prepared for careers.
Reviewed on 27 Apr 2025Read More
M
Mohammed Shoeb Ali 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.0
Life at JNTUHCES Sultanpur.
Placements: Placements in our college are average but slowly improving. Around 30 percent of students from my college get placed every year. The highest package offered is around 6 LPA, the lowest package offered is about 2.5 LPA, and the average package is nearly 3 to 3.5 LPA. Companies like TCS, Infosys, Wipro, Accenture, and Cognizant visit the campus. Some students also get internships in IT companies and local startups. Common roles offered are software engineer, trainee engineer and analyst. CSM course has just been introduce it is the year in which our final year students will get placed for the first time.
Infrastructure: Average and sufficient for regular academics. Classrooms are spacious and some classrooms have projectors for some labs and seminars. Laboratories are available for all departments and are maintained properly for practical work. Wi-Fi facility is provided in the campus, but the speed is average and there is no internet connection access to the internet for students. The library has enough textbooks and reference books for our syllabus. Hostel facilities are average; rooms are clean but basic. Mess food quality is okay and manageable but mostly it is below average. Sports grounds and medical facilities are available, but they can be improved. No proper service of the washrooms.
Faculty: Faculty is average but supportive. Most teachers are qualified and have good subject knowledge. They explain topics clearly and help students during exams and lab work. The curriculum follows the JNTU syllabus and gives a good theoretical base, but students need extra self study to become industry ready. Semester exams are moderately difficult and mostly based on what is taught in class. If students attend classes regularly, passing exams is not very difficult. The overall pass percentage is around 75 to 85 percent. Students need to prepare well if they want placements parallel with academics.
Other: Faculty is average but supportive. Most teachers are qualified and have good subject knowledge. They explain topics clearly and help students during exams and lab work. The curriculum follows the JNTU syllabus and gives a good theoretical base, but students need extra self study to become industry ready. Semester exams are moderately difficult and mostly based on what is taught in class. If students attend classes regularly, passing exams is not very difficult. The overall pass percentage is around 75 to 85 percent. Students need to prepare well if they want placements parallel with academics.
Reviewed on 1 Jan 2026Read More
View more 2 Reviews
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 College of Engineering Sultanpur Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
College of Engineering Sultanpur, Jawaharlal Nehru Technological University, Hyderabad offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. A total of 60 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 1,70,000. Find out more about other courses under College of Engineering Sultanpur, Jawaharlal Nehru Technological University, Hyderabad B.E. / B.Tech.
Total Tuition Fees | ₹1.70 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 60 |
Type of University | Public/Government |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
The total tuition fee for College of Engineering Sultanpur, Jawaharlal Nehru Technological University, Hyderabad B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 1,70,000. 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 College of Engineering Sultanpur, Jawaharlal Nehru Technological University, Hyderabad fee to confirm their seat in the institute. Below is fee breakup for College of Engineering Sultanpur, Jawaharlal Nehru Technological University, Hyderabad B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
| Fee components | Amount (4 years) |
|---|---|
₹ 1.70 Lakh | |
₹ 1.70 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 College of Engineering Sultanpur Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Students Ratings & Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
3/5
1 Verified Review- 2-31
Placements2.0
Infrastructure3.0
Faculty & Course3.0
Campus Life3.0
Value for Money4.0B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
Download exam sample paper
TS EAMCET
TS EAMCET
Want to know more about College of Engineering Sultanpur Scholarship details?
Read about Scholarship
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
| Particulars | Statistics (2023) |
|---|---|
| Median Salary | INR 6.25 Lakh |
Top Recruiters for College of Engineering SultanpurAccenture
bnp paribas
Cognizant
Hexaware Technologies
IBM
Infosys
Mind Tree
TCS
ThoughtWorks
Virtusa
Wipro
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
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 College of Engineering Sultanpur Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
Important Dates
ALL
TS EAMCET
Jun 25 - Jul 1, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Exercising Options after Certificate Verification
Jul 1, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Freezing of options
Jul 4, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Display of Mock Seat Allocation on or before
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
3Gender
Quota
Category
TS EAMCET round-wise cutoff Rank: (General-All India)
| Round | 2023 |
|---|---|
| 1 | 6452 |
| 2 | 5821 |
TS EAMCET round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 15610 | 12417 | 11677 |
| 2 | 14208 | - | 10008 |
TS EAMCET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 |
|---|---|---|
| 1 | 11342 | 10929 |
TS EAMCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 |
|---|---|
| 1 | 28385 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at College of Engineering Sultanpur Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at College of Engineering Sultanpur
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