Kongu Engineering College
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B.Tech. in Artificial Intelligence and Machine Learning 

  • A NAAC accredited
  • Private Institute
  • Estd. 1983

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Overview

Total Tuition Fees

2.00 Lakh
Get Fees details

Duration

4 years

Course Level

UG Degree

Mode of Course

Full Time

Official Website

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Seat breakup

60

Type of University

Private,Autonomous
B.Tech. in Artificial Intelligence and Machine Learning
Table of contents
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Fees

Fee componentsAmount (4 years)
2.00 Lakh
2.00 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.

Video stories

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  • Highlights
  • Placements
  • Eligibility & Cut Offs
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Rankings

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Students Ratings & Reviews

4/5
Verified Icon7 Verified ReviewsInfo Icon
Placement Review IconPlacements3.7
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course4
Crowd Review IconCampus Life4.1
Money Review IconValue for Money4.1
K
KEERTHIDASAN M Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Good atmosphere and infrastructure.
Placements: In my batch (2024-25) of the AIML course, around 92 percent of students got placed. The highest package is 45 LPA, the lowest is 5 LPA, and the average is 12 LPA. Top recruiters include Google, Amazon, Microsoft, and TCS. About 85 percent got internships at firms like Infosys, Deloitte, and Accenture. Major roles offered were Software Engineer, Data Analyst, and AI Developer.
Infrastructure: The department has smart classrooms, high-speed Wi-Fi, modern computer labs, and a well-equipped library. Hostels are clean and comfortable, with good food in the mess. Medical, sports, and gym facilities are excellent, and the hostel food is hygienic.
Faculty: Teachers are highly qualified, supportive, and use practical methods to teach. The curriculum is industry-oriented with updated technologies. Exams are moderately difficult but manageable. The overall pass percentage is around 95 percent, and the faculty members are good.
Other: I chose this course because AI is growing fast.
Reviewed on 30 Oct 2025Read More
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S
Sakthivel T Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
4.2
4Placements4Infrastructure5Faculty4Crowd & Campus Life4Value for Money
An excellent college with good faculty members, infrastructure, and placement.
Placements: In 2024, college placement trends showed an impressive outcome with many top institutions achieving placement rates above 90 percent for their graduation batches. The highest salary packages touched 13 LPA, and average offers range from 6 LPA to 6.5 LPA for in-demand courses. Major recruiters include Accenture, Amazon, Infosys, and TCS, reflecting strong industry participation. Internship opportunities also grew with up to 80 percent of students interning at leading firms such as Google and Microsoft. Top roles offered are software development, consulting, product management, and analytics.
Infrastructure: Modern colleges in 2025 offer comprehensive facilities for students, including campus-wide Wi-Fi, advanced computer labs, fully equipped classrooms with audio-visual aids, and libraries stocked with contemporary books and digital resources. Hostels are designed to be comfortable, featuring clean rooms, recreational space, night canteens, and amenities such as laundry services and a gymnasium. The quality of food in the mess and canteen is generally regarded as hygienic and varied, with regular menu updates, and students also benefit from on-site medical clinics, insured health coverage, and plentiful opportunities for sports and outdoor games throughout the year.
Faculty: Our college has 400 plus faculty members of which 300 plus faculty members are Ph.D. holders. Their quality of teaching is good. They clear the doubts when we need. The internal exam was pretty easy, and the pass percentage is about 70 and above. We expect the semester exam to be easy.
Reviewed on 30 Oct 2025Read More
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M
Mohamed irfan shafi Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
4
4Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
Strong placements and an industry-ready AIML curriculum with excellent infrastructure.
Placements: 70-85 percent of students got placed. The highest package is 30 LPA-42 LPA, the lowest is 3.5 LPA-4.5 LPA, and the average is 6 LPA-8 LPA. Top recruiters are TCS, Infosys, Wipro, Amazon, Microsoft, Google, and Accenture. 60-70 percent of students got internships at Amazon, Microsoft, Google, and startups. Roles offered are ML Engineer, Data Scientist, AI Engineer, Data Analyst, and NLP Engineer.
Infrastructure: AIML facilities include smart classrooms with projectors, Wi-Fi, specialized AI/ML labs with GPUs, software like TensorFlow/PyTorch, a library, and seminar halls. The hostel has good quality with Wi-Fi, adequate mess food (hygiene maintained), a medical center, sports complex, gym, and indoor/outdoor games facilities.
Faculty: Faculty are qualified PhDs, helpful, and knowledgeable in AI/ML. Teaching quality is good with a practical focus. Curriculum is industry-relevant, covers ML, DL, NLP, CV, Python, and TensorFlow, which makes students job-ready. Exams are moderately difficult, with a pass percentage of 60-75 percent typically.
Other: I chose this course because of high demand, good salary, and innovation potential. It has industry-relevant skills, ML/AI projects, and career opportunities. More practical training, an updated curriculum, and better labs should be improved. There are tech/cultural fests, clubs, scholarships, sports, good connectivity, and a vibrant crowd.
Reviewed on 29 Oct 2025Read More
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N
Naveen B Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
3.8
3Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
College review for easy access for those interested in joining the college.
Placements: The batch of us is the artificial intelligence and machine learning course is the best one to us be. To study this course because the course seems to bright in the future among us 50 percent of the students get placement and some us not willing in the placement. The highest salary package is 10 Lacs and the lowest is 3 Lacs top recruits are azentio students internship is 25percent the top roles here are ml engineer, data analyst, software developed, python developed.
Infrastructure: The infrastructure in our college is very good and nice. When it comes to Wi-Fi, we want to register our laptops in the central hub, and they provide us with the credentials, and we can access the Wi-Fi anytime in the college and anywhere on the college campus. Classrooms are very big with all electrical equipment, and the windows provide perfect ventilation. The boards and the projectors are available, and the library can be accessed from morning to evening.
Faculty: The teachers in our college are very helpful for us, and they teach us with full dedication and not just for the sake of it. They clearly explain the concepts and make us understand both theoretical and practical aspects. The course and the content are very relevant. Yes, the course mostly made us industry-ready. The semester exams are not that difficult if we have a basic idea about the course and the concepts. Otherwise, we can clear it easily, and the pass percentage is nearly 75-80%.
Other: The course I choose this because AI has the market high and n the near future and also it is a new technology and it has more way to go so I choose this course. No better improvement I suggest more on practical will help the students to be good and clever rather than focusing merely on the theory aspects. Events and fests are conducts in the college regular intervals and there is no break for the fun and gets here campus crowd 6000 nearly engineering campus surrounding nature and peaceful scholarship for the available students.
Reviewed on 9 Jan 2025Read More
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Review
G
Gowtham M Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
4.2
4Placements4Infrastructure4Faculty5Crowd & Campus Life4Value for Money
Good placement and nice infrastructure.
Placements: The percentage of students placed is above 90 percent, and the highest package in my class is 10 LPA, with an average package of 3 LPA. Top recruiting companies were Zoho, Cognizant, and Accenture. Nearly 70 percent got internships currently. The top role is software trainee.
Infrastructure: There are a lot of facilities available, and the infrastructure is wide, with free Wi-Fi in every classroom. The library is one of the best places in the college, with plenty of journals and papers. The hostel is pretty nice, and hostel food is also pretty good, but sometimes it's not good, based on the mess. They support plenty of sports activities.
Faculty: The faculty are well-trained, polite, professional, and well-qualified. Many of them collaborate with students and think outside of the box. The curriculum is pretty good, and we can also make use of the library for additional learning. The semester exams will be easy if you are well-prepared for internal exams, and most of the students lag in internals, so they can't pass the semester exam. The pass percentage is above 80 percent.
Other: I chose Artificial Intelligence and Machine Learning because it's a well-booming technology, and I was excited to learn new things, and it really fulfilled it. The department offers a variety of fests, symposia, and also extracurricular activities.
Reviewed on 7 Jan 2025Read More
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
 
Frequently Asked Questions

Q:   Can I join B.E/ BTech at Kongu Engineering College without TNEA Counselling?
A: 

No, without TNEA counselling candidates cannot apply for the BTech/B.E. programme at Kongu Engineering College. To be eligible for admission to BTech/B.E., candidates must apply and appear in the counselling round.

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Q:   What is the total fee for B.Tech/B.E course offered by Kongu Engineering College?
A: 

The BTech/B.E. course fee offered by  Kongu Engineering College is INR 2 lakh. To secure admission, candidates are required to pay the course fee after getting shortlisted in the selection rounds. Further, candidates note that the given fee is as per the official website/ sanctioning body and is subject to change.

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Q:   How are the placements at Kongu Engineering College?
A: 

The 2025 placement drive is still in progress. So far, 73 companies visited the campus. A total of 447 offers have been rolled to the 441 students placed. The complete placement report for 2024 has been released. The key highlights related to Kongu Engineering College placements 2024 are tabulated below:

ParticularsPlacement Statistics (2024)
Total offers1,612
Students placed1,235
Companies visited310
Popular recruitersMaersk, Mallow Technologies, Tata Elxsi
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Q:   Who are the top recruiters at Kongu Engineering College?
A: 

During the 2024 KEC Erode placements, the college witnessed the participation of companies from diverse sectors. Some of the renowned companies were Presidio, Honeywell, JSW, Federal Bank, Brakes India, ITC - Printing & Packaging, Yokogawa, Avasoft, Saint-Gobain, and many others.

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Q:   What is the cutoff 2024 for admission to Kongu Engineering College?
A: 

Kongu Engineering College BTech cutoff 2024 has been concluded via TNEA counselling. As per the TNEA 2024 last-round cutoff, the closing ranks varied between 15622 and 52833 for the General AI category students. The cutoff was relased for BE/ BTech across multiple specialisations of which B.E in Computer Science and Engineering was the most competitive one. The least in-demand specialisation was B.Tech. in Food Technology. Candidates can refer to the table bleow to view the Kongu Engineering College branch-wise cutoff 2024 for TNEA: 

CourseTNEA Last Round Cutoff 2024
B.E. in Electronics and Communication Engineering20797
B.E. in Electrical and Electronics Engineering30520
B.E. in Computer Science and Engineering15622
B.Tech. in Information Technology24790
B.E. in Mechanical Engineering48267
B.Tech. in Chemical Engineering48294
B.E. in Civil Engineering47499
B.E. in Electronics and Instrumentation Engineering38322
B.Tech. in Food Technology52833
B.E. in Mechatronics Engineering50532
B.Tech. in Artificial Intelligence and Data Science21951
B.Tech. in Artificial Intelligence and Machine Learning27436
B.E. in Computer Science and Design29211
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Download exam sample paper

ISC
Tamilnadu 12th
CBSE 12th

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Placements

ParticularsStatistics (2023)
Median SalaryINR 4.50 Lakh
Lock IconTop Recruiters for Kongu Engineering College
Accenture
Bosch Ltd
Britannia
Cognizant
ELGi Equipments
HATSUN
huawei
Hyundai
ICICI Securities
Infosys
Infoview
ITC
MU Sigma
Newgen
Odessa
Polar Industries
Rane
Sanmar
Soliton Technologies
TCS
Tech Mahindra
TVS Motors
Vedanta
Vernalis
Wipro
Zoho
View placement details

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Entry Requirements

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

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Admission Process

    Important Dates

    ALL
    ISC
    TAMILNADU 12TH
    CBSE 12TH
    Jan 1 - Feb 14, 2026
    Conduct of CBSE 12th Practical exams 2026Tentative
    Feb 12 - Apr 6, 2026
    Conduct of ISC Exams 2026
    Feb 17 - Mar 5, 2026
    Conduct of CBSE 12th Exams 2026

    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
    Cutoffs

    Filter Icon3
    GenderDown Arrow Icon
    QuotaDown Arrow Icon
    CategoryDown Arrow Icon
    TNEA round-wise cutoff Rank: (General-All India)
    Round202320242025
    1205702627825578
    22470527436-
    TNEA round-wise cutoff Rank: (OBC-All India)
    Round202320242025
    1--33768
    22740428633-
    View Cutoff Details

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
     
    Students also asked

    Q:   What is the eligibility to get admission in KEC - Kongu Engineering College for UG/PG courses?
    A: 

    KEC - Kongu Engineering College has below criteria for taking admissions to it's various courses:

    CoursesEligibility
    Ph.D.Candidate must have completed Master's degree in relevant field.
    B.Sc.Candidate must have passed 10+2 or equivalent from a recognized board.
    B.E. / B.TechCandidate must have passed VIII, IX, X, XI & XII Std. from schools situated in Tamil Nadu. Tamil Nadu native candidate who have passed any of the VIII, IX, X, XI & XII Std. or their equivalent exam from schools situated outside Tamil Nadu can also apply. They should produce Original Nativity Certificate. Children of Central Government Employees, irrespective of their nativity, provided their parents or guardians (only if both parents are not alive) have been serving in Tamil Nadu continuously for the past five years can be eligible to apply. Sons & daughters of All India service Tamil Nadu cadre officers are eligible to apply. A Self declaration from the parent in this regard is to be produced. Children of employees in the Public Sector or Government recognized institutions had been working in their organisations for the past five years are also eligible, irrespective of their domicile. Other State candidates who have studied VIII, IX, X, XI and XII Std. in Tamil Nadu are eligible to apply.
    MBA/PGDMCandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
    MCACandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
    M.E./M.TechCandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
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    Q:   Is there an entrance for admission to Kongu Engineering College?
    A: 

    Yes, Kongu Engineering College ccepts various entrance exams for admission to UG and PG courses. The college offers two UG i.e., BTech/B.E. and BSc and four PG courses i.e., M.E., MCA, MBA and MSc. For admission to BSc and MSc, the college offers merit-based admission. Further, the college accepts TNEA counselling for admission to BTech/B.E. and TANCET, GATE, and CEETA for admission to MBA, MCA and M.E./MTech, respectively. After filling out the admission criteria set by the college, candidates are required to apply to the official website of their respective entrance exam and fill out the admission form.

    AskShikshaGPT on App
    Q:   Which college provides a better median salary for B.E. / B.Tech: Rajalakshmi Engineering College or KEC - Kongu Engineering College?
    A: 
    The median salary package offered to the students after finishing B.E. / B.Tech from Rajalakshmi Engineering College is INR 456,000. While, the Median package offered by KEC - Kongu Engineering College after completion of B.E. / B.Tech is INR 430,000. Basis these stats, Rajalakshmi Engineering College is better option compared to KEC - Kongu Engineering College on the Median salary parameter.
    AskShikshaGPT on App
    Q:   Are admissions to Kongu Engineering College open?
    A: 

    Yes, admission is open to Kongu Engineering College for all UG, PG and PhD courses through TNEA, GATE, CEETA and TANCET, respectively. Further, for BSc and MSc, candidates are selected based on the last qualifying exam score. Interested candidates can visit the official websites of TNEA Counselling and TANCET to apply for the BTech and PG courses, respectively.

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    Q:   How good are the placements at Kongu Engineering College?
    A: 

    The college has a decent placement record. The table below represents the Kongu Engineering College placement trends for a detailed analysis:

    ParticularsPlacement Statistics (2022)Placement Statistics (2023)Placement Statistics (2024)
    Total offers2,2491,9511,612
    Students placed1,5121,4461,235
    Companies visited301306310
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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
    Contact Information

    Address

    Perundurai, Railway Station Road
    Erode ( Tamil Nadu)

    Phone
    9443020583

    (For general query)

    9965277765

    (For admission query)

    Email
    placement@kongu.edu

    (For general query)

    principal@kongu.ac.in

    (For admission query)

    Go to College Website ->