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

  • Public/Government Institute
  • Estd. 2012
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Placements
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Infrastructure
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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
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M
Mohammed Shoeb Ali Verified Icon
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
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
College of Engineering Sultanpur 
Overview

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 External Link Icon

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

Fee componentsAmount (4 years)
1.70 Lakh
1.70 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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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 
Students Ratings & Reviews

3/5
Verified Icon1 Verified ReviewInfo Icon
Placement Review IconPlacements2.0
Infrastructure Review IconInfrastructure3.0
Faculty Review IconFaculty & Course3.0
Crowd Review IconCampus Life3.0
Money Review IconValue for Money4.0

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
College of Engineering Sultanpur 
 
Students also asked

Download exam sample paper

TS EAMCET
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
College of Engineering Sultanpur 
Placements

ParticularsStatistics (2023)
Median SalaryINR 6.25 Lakh
Lock IconTop Recruiters for College of Engineering Sultanpur
Accenture
bnp paribas
Cognizant
Hexaware Technologies
IBM
Infosys
Mind Tree
TCS
ThoughtWorks
Virtusa
Wipro
View placement details

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
College of Engineering Sultanpur 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 45%
Other eligibility criteriaUp Arrow Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
College of Engineering Sultanpur 
Admission Process

    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

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    Gender
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    Category
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    TS EAMCET round-wise cutoff Rank: (General-All India)
    Round2023
    16452
    25821
    TS EAMCET round-wise cutoff Rank: (General-Home State)
    Round202320242025
    1156101241711677
    214208-10008
    TS EAMCET round-wise cutoff Rank: (OBC-All India)
    Round20222023
    11134210929
    TS EAMCET round-wise cutoff Rank: (OBC-Home State)
    Round2023
    128385
    View Cutoff Details

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    College of Engineering Sultanpur 

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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    College of Engineering Sultanpur 
    Take a look at Campus

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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    College of Engineering Sultanpur 
    Contact Information

    Address

    Pulkal(Mdl), Sangareddy (Dist)
    Sultanpur ( Telangana)

    Go to College Website ->