MIT B.Tech Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

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Content Curator | Updated on - Nov 3, 2025

B.Tech Artificial Intelligence & Machine Learning at MIT is a 4 years, Full Time Degree program offered On Campus. It offers a limited number of 60 seats.

  • The total fees for the B.Tech Artificial Intelligence & Machine Learning program at MIT is ₹ 3.94 Lakhs.
  • Students need to pay ₹ 98,463 in the first year.

Find detailed MIT B.Tech Artificial Intelligence & Machine Learning fees, eligibility, admission dates, cutoff and ranking below.

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Application Date:Jun 28, 2026 - Jul 14, 2026
Course HighlightsDetails
duration4 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 3.58 Lakhs
eligibility10+2 with 45%+MHT-CET

MIT B.Tech Artificial Intelligence & Machine Learning Fees

MIT B.Tech Artificial Intelligence & Machine Learning fees 2025 is ₹ 3.94 Lakhs for the entire course duration.

  • This includes a total tuition fee of ₹ 3.94 Lakhs.
  • Candidates need to pay ₹ 98,463 in the first year.
  • For OBC category students, the total fees is ₹ 2.21 Lakhs.
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Quota:
Fee TypeTotal Amount (INR)
tuition fee₹3.45 Lakhs
total academic fee₹3.58 Lakhs
hostel fee₹4.8 Lakhs
total fee₹8.38 Lakhs
* Fees is refundable

Fee as per the Official Website :

Important Dates for B.Tech Artificial Intelligence & Machine Learning at MIT

Important Events

EventsDates
MHT CET Registration Timeline
Jan 05, 2026 - Feb 27, 2026
Ongoing
MHT CET (PCB) Admit Card Date
Apr 02, 2026
Tentative
MHT CET (PCM) Admit Card Date
Apr 12, 2026
Tentative
MHT CET Exam Date
Apr 09, 2026 - Apr 27, 2026
Tentative
MHT CET Result Date
Jun 16, 2026
Tentative
Online Registration & Uploading of Documents - MAH-CET 2025 [BE/B.Tech]
Jun 28, 2026 - Jul 14, 2026
Tentative
Online Document Verification and Confirmation - MAH-CET 2026 [BE/B.Tech]
Jun 30, 2026 - Jul 15, 2026
Tentative
Display of Final Merit List - MAH-CET 2026 [BE/B.Tech]
Jul 24, 2026
Tentative
Online Option Form Submission - CAP Round-I MAH-CET 2026 [BE/B.Tech]
Jul 26, 2026 - Jul 28, 2026
Tentative
Reporting to Institute - CAP Round-I MAH-CET 2026 [BE/B.Tech]
Aug 01, 2026 - Aug 04, 2026
Tentative

Important Events

EventsDates
Online Registration & Uploading of Documents - MAH-CET 2025 [BE/B.Tech]
Jun 28, 2026 - Jul 14, 2026
Tentative
Online Document Verification and Confirmation - MAH-CET 2026 [BE/B.Tech]
Jun 30, 2026 - Jul 15, 2026
Tentative
Display of Final Merit List - MAH-CET 2026 [BE/B.Tech]
Jul 24, 2026
Tentative
Online Option Form Submission - CAP Round-I MAH-CET 2026 [BE/B.Tech]
Jul 26, 2026 - Jul 28, 2026
Tentative
Reporting to Institute - CAP Round-I MAH-CET 2026 [BE/B.Tech]
Aug 01, 2026 - Aug 04, 2026
Tentative
Online Option Form Submission - CAP Round-II MAH-CET 2026 [BE/B.Tech]
Aug 06, 2026 - Aug 08, 2026
Tentative
Reporting to Institute - CAP Round-II MAH-CET 2026 [BE/B.Tech]
Aug 12, 2026 - Aug 14, 2026
Tentative
Online Option Form Submission - CAP Round-III MAH-CET 2026 [BE/B.Tech]
Aug 17, 2026 - Aug 19, 2026
Tentative
Reporting to Institute - CAP Round-III MAH-CET 2026 [BE/B.Tech]
Aug 23, 2026 - Aug 25, 2026
Tentative
Online Option Form Submission - CAP Round-IV MAH-CET 2026 [BE/B.Tech]
Aug 28, 2026 - Aug 30, 2026
Tentative

Important Events

EventsDates
MHT CET Registration Timeline
Jan 05, 2026 - Feb 27, 2026
Ongoing
MHT CET (PCB) Admit Card Date
Apr 02, 2026
Tentative
MHT CET (PCM) Admit Card Date
Apr 12, 2026
Tentative
MHT CET Exam Date
Apr 09, 2026 - Apr 27, 2026
Tentative
MHT CET Result Date
Jun 16, 2026
Tentative
Check entrance exam dates for admission in B.Tech Artificial Intelligence & Machine Learning at MIT -

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MIT B.Tech Artificial Intelligence & Machine Learning Admission Process

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Dewansh Sable
Dewansh Sable
5.0Helpful
Reviewed on Jan 29, 2026(Enrolled 2023)

Fees and Financial Aid:

As a current student, I’d say this college is genuinely good overall, but not perfect. The best part is the academics and exposure. Most professors are knowledgeable and helpful if you actually approach them with doubts. The curriculum is fairly updated and focuses on practical understanding, not just theory. Labs and classrooms are well maintained, and you get decent access to equipment and resources for projects. There are plenty of clubs, technical events, and fests, so if you’re proactive you can build strong skills and a good network. Placements are solid for core branches and decent for others, with multiple companies visiting every year. The campus environment is competitive in a healthy way, which pushes you to improve. Infrastructure is another strong point. The campus is clean, organized, and has good internet, library, and study spaces. Hostels are manageable and safe. You won’t struggle for basic facilities like food, transport inside campus, or medical help. Now the weaker side. Not every faculty member teaches with the same quality or energy, so sometimes you end up relying on self-study. Administration work can be slow and bureaucratic when it comes to documents or approvals. During peak exam or fest times, things get crowded and resources like labs or common areas feel insufficient. Also, if you’re expecting constant hand-holding for internships or career guidance, you won’t get it automatically; you have to chase opportunities yourself. In short: if you’re lazy, you’ll feel average here. If you’re self-driven, this place gives you enough tools, exposure, and opportunities to do very well.
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