Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning: Fees 2027, Course Duration, Dates, Eligibility

Kottayam, KeralaEstd 2002 MG University, Kottayam NAAC Grade A
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B.Tech Artificial Intelligence & Machine Learning at Mangalam College of Engineering Ettumanoor Kottayam is a 4 Years Degree. The course is offered On Campus as a Full Time program. Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning First Year Fees is INR 1,05,000 for 2025.

Mangalam College of Engineering Ettumanoor Kottayam offers a total of 60 seats for B.Tech Artificial Intelligence & Machine Learning. Candidates must have at least 10+2 + KEAM to be eligible for admissions. Admissions are offered based on KEAM. Check Mangalam College of Engineering Ettumanoor Kottayam Admission 2025

Mangalam College of Engineering Ettumanoor Kottayam KEAM Cutoff 2024 rank is 52321 for the General category. Earlier, the KEAM cutoff rank 2023 was 49201 for the General category.

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Fees 2025

Fees (2025 - 2026) Year 1 (in INR) Year 2 (in INR) Year 3 (in INR) Year 4 (in INR)
Tuition Fees 75000 75000 75000 75000
Caution Fee * 10000 - - -
Training And Placement Fees 3500 3500 3500 3500
Miscellaneous Fees 16500 10000 10000 10000
Yearly Fees 105000 88500 88500 88500

* Fees is refundable

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Previous Fees

Fees Total Fees
Total Fees 5.02 Lakhs

* Fees is refundable

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Admission 2025

The minimum eligibility for admission to B.Tech Artificial Intelligence & Machine Learning at Mangalam College of Engineering Ettumanoor Kottayam is 10+2 + KEAM. Candidates are allotted seats based on KEAM.

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Cutoff 2025

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Cutoff 2025 has not been released yet. You can check the previous year KEAM cutoff rank for B.Tech Artificial Intelligence & Machine Learning admissions in the section below.

Categories (2024) Round 1 Round 2
General 52321 52321

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Cutoff 2023

Categories Round 1 Round 2 Round 3
General 49201 49201 49201

Also Check:

Course HighlightsDetails
duration4 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 3 Lakhs
eligibility10+2 + KEAM
11 Views Last Year
4 Studentsshown interest in the last 30 days

Mangalam College of Engineering Ettumanoor Kottayam Latest Updates and News

12 Nov, 2026 KEAM 2027 exam is expected to be held between April 21 & 26, 2027. The official notice will be released soon @cee.kerala.gov.in. Read News.

Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Fees

Quota:
Fee TypeTotal Amount (INR)
total fee₹3 Lakhs
* Fees is refundable

Important Dates for B.Tech Artificial Intelligence & Machine Learning at Mangalam College of Engineering Ettumanoor Kottayam

Important Events

EventsDates
KEAM Registration Date
Jan 04, 2027
Tentative
KEAM Exam Date
Apr 21, 2027 - Apr 26, 2027

Expired Events

EventsDates
Joining Allotted & Online Payment Date - Phase 3 KEAM 2026 [B.Tech]
Aug 12, 2026
Publication of Final Allotment - Phase 3 KEAM 2026 [B.Tech]
Aug 09, 2026
Reporting - Phase 3 KEAM 2026 [BE/B.Tech]
Aug 10, 2026

Important Events

EventsDates
KEAM Registration Date
Jan 04, 2027
Tentative
KEAM Exam Date
Apr 21, 2027 - Apr 26, 2027
Check entrance exam dates for admission in B.Tech Artificial Intelligence & Machine Learning at Mangalam College of Engineering Ettumanoor Kottayam -

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Mangalam College of Engineering Ettumanoor Kottayam B.Tech Artificial Intelligence & Machine Learning Admission Process

Eligibility Criteria

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