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

Sitapur, Uttar PradeshEstd 2005
Collegedunia Team's profile photo

Collegedunia Team

Content Curator | Updated 3+ months ago

Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning is offered as 4 Years Full Time program, with total intake of 60 seats. The minimum eligibility criteria for B.Tech is 10+2 with 45%. The total fees for Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning in 2025 is ₹ 2.3 Lakhs for the complete course duration, which includes total tuition fees of ₹ 2.3 Lakhs. Earlier, the fees in 2024 - 2025 for B.Tech Artificial Intelligence & Machine Learning was ₹ 2.3 Lakhs.

Sitapur Siksha Sansthan offers a total of 60 seats for B.Tech Artificial Intelligence & Machine Learning.

Sitapur Siksha Sansthan 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 ₹57500 ₹57500 ₹57500 ₹57500
Yearly Fees ₹57500 ₹57500 ₹57500 ₹57500

* Fees is refundable

Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning Previous Fees

Fees Year 1 (in INR) Year 2 (in INR) Year 3 (in INR) Year 4 (in INR)
Tuition Fees ₹57500 ₹57500 ₹57500 ₹57500
Yearly Fees ₹57500 ₹57500 ₹57500 ₹57500

* Fees is refundable

Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning Admission 2025

The minimum eligibility for admission to B.Tech Artificial Intelligence & Machine Learning at Sitapur Siksha Sansthan is 10+2 with 45%.

Also Check:

Course HighlightsDetails
duration4 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 2.3 Lakhs
eligibility10+2 with 45%
7 Views Last Year

Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning Fees

Quota:
Fee TypeTotal Amount (INR)
tuition fee₹2.3 Lakhs
total fee₹2.3 Lakhs
* Fees is refundable

Sitapur Siksha Sansthan B.Tech Artificial Intelligence & Machine Learning Admission Process

Eligibility Criteria

Comments


No Comments To Show