Ajeenkya DY Patil University collaborating with NIAT B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Moshi, PuneEstd 2015
Collegedunia Team's profile photo

Collegedunia Team

Content Curator | Updated 3+ months ago

B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Ajeenkya DY Patil University collaborating with NIAT is a 4 years, Full Time Degree program offered On Campus.

  • The total fees for the B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) program at Ajeenkya DY Patil University collaborating with NIAT is ₹ 18 Lakhs.
  • Students need to pay ₹ 4.5 Lakhs in the first year.

Find detailed Ajeenkya DY Patil University collaborating with NIAT B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) fees, eligibility, admission dates, cutoff and ranking below.

Course HighlightsDetails
duration4 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 17.42 Lakhs
eligibility10+2 (PCM) with 60% + NAT
20 Views Last Year
7 Studentsshown interest in the last 30 days

Ajeenkya DY Patil University collaborating with NIAT B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) Fees

Ajeenkya DY Patil University collaborating with NIAT B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) fees 2026 is ₹ 18 Lakhs for the entire course duration.
  • This includes a total tuition fee of ₹ 18 Lakhs.
  • Candidates need to pay ₹ 4.5 Lakhs in the first year.

Earlier, B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) fees at Ajeenkya DY Patil University collaborating with NIAT was ₹ 16 Lakhs (in 2025) for the entire course duration. This shows a fee increase of ₹ 2 Lakhs over the year.

Quota:
Fee TypeTotal Amount (INR)
total fee₹17.42 Lakhs
* Fees is refundable

Ajeenkya DY Patil University collaborating with NIAT B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) Admission Process

Eligibility Criteria

Comments


No Comments To Show