Year | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Tution fees | ₹130000 | ₹130000 | ₹130000 | ₹130000 |
Other fees | ₹8500 | ₹5500 | ₹5500 | ₹5500 |
Total Year Wise fees | ₹1.39 Lakhs | ₹1.35 Lakhs | ₹1.35 Lakhs | ₹1.35 Lakhs |
Events | Dates |
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TS EAMCET Application Dates | Feb 26, 2024 - Apr 06, 2024 |
TS EAMCET Admit Card Date | Apr 29, 2024 |
Application Timeline (B.Tech/BE) [TS EAMCET] | Mar 03, 2024 - May 02, 2024 |
The 2023 TS EAMCET round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Data Sciences) at GRIET was 17445 for the BCA category. While In 2022 the cutoff rank was 11069 .
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Candidate must pass in the Intermediate (10 + 2) conducted by the board of Intermediate Education, Govt. of Telangana State or any other examination recognized as equivalent thereto with Mathematics, Physics, and Chemistry as optional subjects.
Admission will be made on a common entrance test (EAMCET) conducted by the Govt. of Telangana State.
Seat Allotment –
GRIET | VNR VJIET | KMIT | |
---|---|---|---|
Reviews Rating | |||
Cost To Study | Total Fees ₹545000 (4 Years ) | Total Fees ₹524000 (4 Years ) | Total Fees ₹437000 (4 Years ) |
Ranking | # Ranked 126/246 by India Today Engineering Ranks | # Ranked 121/246 by India Today Engineering Ranks | - |
Highest Salary | ₹4160000 | ₹3150000 | ₹4400000 |
Average Salary | ₹505406 | - | - |
General Course Details | Duration - 4 Years Course Offered - Full Time Total Seats - 120 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
Eligibility | 10+2 | 10+2 | 10+2 |
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I was chosen for the computer science and engineering specialization data science (DS). The brief ratio of faculty in DS is 1:25. There are qualified Ph.D. specializations in Data science. The teaching techniques are using day life examples. With useful to present technology.
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