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

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Collegedunia Team

Content Curator | Updated 3+ months ago

B.Tech Artificial Intelligence & Machine Learning at GNITS is a 4 years, Full Time Degree program offered On Campus. It offers a limited number of 120 seats.

  • The total fees for the B.Tech Artificial Intelligence & Machine Learning program at GNITS is ₹ 4 Lakhs.
  • Students need to pay ₹ 1 Lakh in the first year.

Admissions to B.Tech Artificial Intelligence & Machine Learning at GNITS are primarily based on TS-EAMCET. Candidates must have completed 10+2 + TG-EAPCET to be eligible for admission. The overall TS-EAMCET cutoff for the B.Tech Artificial Intelligence & Machine Learning program is 5533 - 34872 across all categories. Check GNITS Admission

NIRF Engineering ranking 2025, ranks GNITS at 201-300 out of 300 in India.

Find detailed GNITS B.Tech 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₹ 4 Lakhs
median package₹ 8 Lakhs
eligibility10+2 + TG-EAPCET
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25 Studentsshown interest in the last 30 days

GNITS B.Tech Artificial Intelligence & Machine Learning Fees

GNITS B.Tech Artificial Intelligence & Machine Learning fees 2025 is ₹ 4 Lakhs for the entire course duration.
  • This includes a total tuition fee of ₹ 4 Lakhs.
  • Candidates need to pay ₹ 1 Lakh in the first year.

For students applying under the NRI quota for admission, the total course fee for B.Tech Artificial Intelligence & Machine Learning at GNITS is ₹ 17 Lakhs.

Earlier, B.Tech Artificial Intelligence & Machine Learning fees at GNITS was ₹ 4.06 Lakhs (in 2024) for the entire course duration. This shows a fee decrease of ₹ 6,000 over the year.

Quota:
Fee TypeTotal Amount (INR)
tuition fee₹4 Lakhs
total fee₹4 Lakhs
* Fees is refundable

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


Expired Events

EventsDates
Download Allotment Order, Self Reporting & Branch Reporting - Internal Sliding TGEAPCET 2026 [BE/B.Tech]
Aug 16, 2026 - Aug 17, 2026
Spot Admission Guidelines Publication TGEAPCET 2026 [BE/B.Tech]
Aug 16, 2026
Provisional Seat Allotment Result - Internal Sliding TGEAPCET 2026 [BE/B.Tech]
Aug 15, 2026
Check entrance exam dates for admission in B.Tech Artificial Intelligence & Machine Learning at GNITS -

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GNITS: Students' Opinion

AI-Generated Summary based on 9 Reviews

The college boasts a faculty largely composed of PhD holders, with a student-to-faculty ratio of about 65-70:1. Faculty members are generally approachable and provide study materials, although some may have less experience. The examination system includes two mid-term exams and a semester exam, along with lab internals and externals. While some faculty members are highly knowledgeable, reports on the outcomes of recorrection requests are mixed. Placement and internship opportunities are strong, with over 95% of students securing jobs annually.

The average salary package ranges from 7 to 10 LPA, with the highest reaching 54 LPA. Top recruiters include JP Morgan, Adobe, Amazon, Microsoft, and TCS. Internships start in the second year, with stipends from 25,000 to 1,10,000 INR per month. Tuition fees range from 100,000 to 150,000 INR per year for EAMCET students, with additional placement and record charges of 20,000 INR. Total fees, including other charges, amount to approximately 122,000 INR, while NRI students pay 4,00,000 INR annually.

Hostel fees are 95,000 INR for non-AC rooms and 1,20,000 INR for AC rooms. Scholarships are available, with full fee waivers for SC/ST students and reduced fees for OBC/EWS students based on income. Merit scholarships provide full fee reimbursement for students with EAMCET ranks below 10,000 or a 35,000 INR reimbursement for others. The college also offers alumnae scholarships and financial assistance for backward categories, supported by the Telangana government.

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GNITS B.Tech Artificial Intelligence & Machine Learning Admission Process

Eligibility Criteria
Entrance Exam
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