NGIT BE Computer Science and Engineering (Artificial Intelligence and Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Hyderabad, TelanganaEstd 2017 Osmania University, Hyderabad
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Content Curator | Updated 3+ months ago

BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NGIT is a 4 years, Full Time Degree program offered On Campus. It offers a limited number of 120 seats.

  • The total fees for the BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at NGIT is ₹ 3.85 Lakhs.
  • Students need to pay ₹ 98,500 in the first year.

Admissions to BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NGIT are primarily based on TS-EAMCET. Candidates must have completed 10+2 with 50% + TS EAPCET to be eligible for admission. The overall TS-EAMCET cutoff for the BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) program is 10428 - 60545 across all categories. Check NGIT Admission

Find detailed NGIT BE Computer Science and Engineering (Artificial Intelligence and 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₹ 3.85 Lakhs
eligibility10+2 with 50% + TS EAPCET
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NGIT BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) Fees

NGIT BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees 2025 is ₹ 3.85 Lakhs for the entire course duration.
  • This includes a total tuition fee of ₹ 3.6 Lakhs, Other Fees of ₹ 25,000.
  • Candidates need to pay ₹ 98,500 in the first year.

Earlier, BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees at NGIT was ₹ 3.66 Lakhs (in 2024) for the entire course duration. This shows a fee increase of ₹ 19,000 over the year.

Quota:
Fee TypeTotal Amount (INR)
tuition fee₹3.6 Lakhs
total fee₹3.85 Lakhs
* Fees is refundable

Important Dates for BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NGIT


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 BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NGIT -

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NGIT: Students' Opinion

AI-Generated Summary based on 5 Reviews

The college ensures personalized attention with a faculty-to-student ratio of 1:64 in classrooms and 1:32 in labs. The faculty consists of 55 members teaching 12 subjects through a mix of practical and written assessments. Notable teachers include Deepa Maam for coding and Veena Maam for mathematics. The college's placement record is impressive, with the highest package being 44 LPA from Microsoft and Amazon, while Experian offered 15 LPA to over 13 students.

The average package is between 8 to 9 LPA, with 75% of students securing placements during the 2022-23 season. Internships, starting from the second year, offer stipends ranging from 10,000 to 75,000 INR monthly. Key recruiters include Amazon, TCS, and Adobe. The college provides a finishing school for industry-readiness, enhancing internship and job opportunities. Annual tuition is Rs 90,000, with OBC students reimbursed up to Rs 35,000, SC/ST students receiving a full waiver, and a full waiver for students with entrance ranks below 10,000.

The TSEPASS scholarship offers Rs 35,000 annually for non-OC students. Admission fees are Rs 8,500 for CSE and Rs 5,500 for CSM. Management quota students pay Rs 90,000 annually, plus an Rs 8 lakh donation. Transport services cost an additional Rs 36,000, subject to diesel price changes.

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NGIT BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) Admission Process

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