MITAOE B.Tech {Lateral} Artificial Intelligence and Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

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Collegedunia Team

Content Curator | Updated 3+ months ago

B.Tech {Lateral} Artificial Intelligence and Machine Learning at MITAOE is a 3 years, Full Time Degree program offered On Campus.

  • The total fees for the B.Tech {Lateral} Artificial Intelligence and Machine Learning program at MITAOE is ₹ 6.63 Lakhs.

According to Collegedunia Engineering Ranking 2026, MITAOE ranks 220 out of 500 colleges in India with an overall score of 675.8627114 out of 1000. India Today Engineering ranking 2024, ranks MITAOE at 114 out of 284 in India.

Find detailed MITAOE B.Tech {Lateral} Artificial Intelligence and Machine Learning fees, eligibility, admission dates, cutoff and ranking below.

Course HighlightsDetails
duration3 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 6.01 Lakhs
eligibilityDiploma with 45%
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MITAOE B.Tech {Lateral} Artificial Intelligence and Machine Learning Fees

MITAOE B.Tech {Lateral} Artificial Intelligence and Machine Learning fees 2026 is ₹ 6.63 Lakhs for the entire course duration.
  • For Management category students, the total fees is ₹ 7.46 Lakhs.

For students applying under the NRI quota for admission, the total course fee for B.Tech {Lateral} Artificial Intelligence and Machine Learning at MITAOE is ₹ 13.82 Lakhs.

Earlier, B.Tech {Lateral} Artificial Intelligence and Machine Learning fees at MITAOE was ₹ 6 Lakhs (in 2025) for the entire course duration. This shows a fee increase of ₹ 63,000 over the year.

Quota:
Fee TypeTotal Amount (INR)
total academic fee₹6.01 Lakhs
hostel fee₹2.64 Lakhs
total fee₹8.65 Lakhs
* Fees is refundable

Important Dates for B.Tech {Lateral} Artificial Intelligence and Machine Learning at MITAOE


Expired Events

EventsDates
Reporting - ACAP for Admission 2026 [BE/B.Tech] (Lateral)
Sep 11, 2026
Admission Timeline [B.Tech] (Lateral)
Jul 04, 2026 - Jul 19, 2026

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MITAOE B.Tech {Lateral} Artificial Intelligence and Machine Learning Admission Process

Eligibility Criteria

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