Historical admission evidence
Compare 85 available cutoff records across 2 exams, with course, category, counselling round and year kept separate.
Historical cutoffs are planning evidence, not an allotment promise. Match the same course, quota, category, domicile and round, then verify the current cycle on the official counselling portal.
| Stream / Specialization | Category | Rank | Year | Round |
|---|---|---|---|---|
Computer Science Engineering | Economically Weaker Section (EWS) / female | 5,411 | 2025 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 5,394 | 2025 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,550 | 2025 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 7,337 | 2025 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 10,746 | 2025 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 23,906 | 2025 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 28,455 | 2025 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 5,177 | 2025 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 5,768 | 2025 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,500 | 2025 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 7,351 | 2025 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 10,411 | 2025 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 23,040 | 2025 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 28,129 | 2025 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 1,04,077 | 2024 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 97,870 | 2024 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 95,738 | 2024 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 97,387 | 2024 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 96,762 | 2024 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 96,800 | 2024 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 98,114 | 2024 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 96,406 | 2024 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 97,688 | 2024 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 95,748 | 2024 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 1,03,794 | 2024 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 1,02,423 | 2024 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 1,02,913 | 2024 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 1,02,100 | 2024 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 5,798 | 2023 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 6,242 | 2023 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,817 | 2023 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 8,282 | 2023 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 13,855 | 2023 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 35,343 | 2023 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 39,006 | 2023 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 6,027 | 2023 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 6,227 | 2023 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,506 | 2023 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 8,419 | 2023 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 14,847 | 2023 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 34,517 | 2023 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 41,121 | 2023 | R2 |
Data Science | BCA / female | 17,718 | 2023 | R1 |
Computer Science Engineering | BCA / female | 20,122 | 2023 | R1 |
Information Technology | BCA / female | 24,742 | 2023 | R1 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 5,032 | 2022 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 5,742 | 2022 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,410 | 2022 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 8,337 | 2022 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 13,485 | 2022 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 41,437 | 2022 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 47,674 | 2022 | R2 |
Computer Science Engineering | Economically Weaker Section (EWS) / female | 5,088 | 2022 | R2 |
Artificial Intelligence and Machine Learning | Economically Weaker Section (EWS) / female | 6,088 | 2022 | R2 |
Data Science | Economically Weaker Section (EWS) / female | 6,126 | 2022 | R2 |
Information Technology | Economically Weaker Section (EWS) / female | 7,896 | 2022 | R2 |
Electronics & Communication Engineering | Economically Weaker Section (EWS) / female | 12,936 | 2022 | R2 |
Electronics & Telecommunication Engineering | Economically Weaker Section (EWS) / female | 41,782 | 2022 | R2 |
Electrical and Electronics Engineering | Economically Weaker Section (EWS) / female | 46,900 | 2022 | R2 |
Data Science | BCA / female | 14,787 | 2022 | R1 |
Computer Science Engineering | BCA / female | 8,796 | 2022 | R1 |
Information Technology | BCA / female | 20,572 | 2022 | R1 |
Data Science | BCA / female | 13,710 | 2021 | R1 |
Computer Science Engineering | BCA / female | 10,479 | 2021 | R1 |
Information Technology | BCA / female | 17,879 | 2021 | R1 |
Computer Science Engineering | BCA / female | 9,548 | 2020 | R1 |
Information Technology | BCA / female | 20,349 | 2020 | R1 |
Know your TS-EAMCET rank? See if you qualify for GNITS.
Predict Now2
2020–2025
10
M.Tech Computer Network & Information Security
G Narayanamma Institute of Technology and Science (GNITS) (also known as GNITS) is a educational institution located in Telangana. It admits students through TS-EAMCET, TS-PGECET. This page brings together latest closing ranks, category‑wise cutoffs, and year‑over‑year trends so that aspirants can evaluate their admission chances at a glance.
In TS-EAMCET 2025, GNITS offered admission to 7 courses across 2 categories (Economically Weaker Section (EWS), BCA). The counselling process included 2 rounds (Round 1, 2). The closing rank (the last recorded admitted rank in a round) is a useful historical benchmark, but it is not an admission guarantee.
Historical data available for 2020–2025. Use the filter above to explore cutoffs from earlier years.
In TS-PGECET 2025, GNITS offered admission to 5 courses across 1 category (General / Unreserved (UR)). The closing rank (the last recorded admitted rank in a round) is a useful historical benchmark, but it is not an admission guarantee.
Historical data available for 2024–2025. Use the filter above to explore cutoffs from earlier years.
This page summarizes the available historical counselling records through the 2025 admission cycle. Coverage varies by exam and category, so verify final eligibility, seat matrices and cutoffs on the official counselling portal.
