![Vishnu Institute of Technology - [VIT]](https://image-static.collegedunia.com/public/college_data/images/logos/1480310942logo.png?h=71.7&w=71.7&mode=stretch)
| Course | Cutoff Rank |
|---|---|
| Gender Neutral | |
| M.Tech. Artificial Intelligence and Machine Learning | 2924 |
| M.Tech Computer Science and Engineering | 3851 |
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VITB offers admission in M.Tech courses through AP-PGECET. From AP-PGECET 2025 cutoff, Students can get a brief idea of how much cutoff is required to get admission in VITB.
| Category | Round 1 (Closing rank) |
|---|---|
| SC | 2924 |
| ST | 2462 |
| OC | 743 |
| EWSOC | 3278 |
| BCD | 1203 |
| BCA | 3798 |
| BCB | 1398 |
The overall cutoff rank for SC Category Students for AP-PGECET ranges between 1804 - 2924. M.Tech Computer Science and Engineering was the most preferred course for SC candidates in 2025 with the lowest rank of 1804 , followed by M.Tech. Artificial Intelligence and Machine Learning with a cutoff of 2924 (SC stands for Scheduled Caste)
VITB, AP-PGECET Cutoff 2025 for SC Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech Computer Science and Engineering | 1804 |
| M.Tech. Artificial Intelligence and Machine Learning | 2924 |
The overall cutoff rank for ST Category Students for AP-PGECET ranges between 1398 - 2462. M.Tech. Artificial Intelligence and Machine Learning was the most preferred course for ST candidates in 2025 with the lowest rank of 1398 , followed by M.Tech Computer Science and Engineering with a cutoff of 2462 (ST stands for Scheduled Tribes)
VITB, AP-PGECET Cutoff 2025 for ST Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1398 |
| M.Tech Computer Science and Engineering | 2462 |
The overall cutoff rank for OC Category Students for AP-PGECET ranges between 180 - 743. M.Tech Electrical Power Engineering was the most preferred course for OC candidates in 2025 with the lowest rank of 180 , followed by M.Tech. Artificial Intelligence and Machine Learning with a cutoff of 580 (OC stands for Open/General Category)
VITB, AP-PGECET Cutoff 2025 for OC Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech Electrical Power Engineering | 180 |
| M.Tech. Artificial Intelligence and Machine Learning | 580 |
| M.Tech Computer Science and Engineering | 705 |
| M.Tech Digital Electronics & Communication Systems | 743 |
The overall cutoff rank for EWSOC Category Students for AP-PGECET ranges between 1020 - 3278. M.Tech. Artificial Intelligence and Machine Learning was the most preferred course for EWSOC candidates in 2025 with the lowest rank of 1020 , followed by M.Tech Computer Science and Engineering with a cutoff of 3278 (EWSOC stands for Economically Weaker Section Open/General Category)
VITB, AP-PGECET Cutoff 2025 for EWSOC Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1020 |
| M.Tech Computer Science and Engineering | 3278 |
The overall cutoff rank for BCD Category Students for AP-PGECET ranges between 1020 - 1203. M.Tech. Artificial Intelligence and Machine Learning was the most preferred course for BCD candidates in 2025 with the lowest rank of 1020 , followed by M.Tech Computer Science and Engineering with a cutoff of 1203 (BCD stands for Backward Category D)
VITB, AP-PGECET Cutoff 2025 for BCD Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1020 |
| M.Tech Computer Science and Engineering | 1203 |
The overall cutoff rank for BCA Category Students for AP-PGECET ranges between 1398 - 3798. M.Tech Computer Science and Engineering was the most preferred course for BCA candidates in 2025 with the lowest rank of 1398 , followed by M.Tech. Artificial Intelligence and Machine Learning with a cutoff of 3798 (BCA stands for Backward Category A)
VITB, AP-PGECET Cutoff 2025 for BCA Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech Computer Science and Engineering | 1398 |
| M.Tech. Artificial Intelligence and Machine Learning | 3798 |
The overall cutoff rank for BCB Category Students for AP-PGECET ranges between 858 - 1398. M.Tech. Artificial Intelligence and Machine Learning was the most preferred course for BCB candidates in 2025 with the lowest rank of 858 , followed by M.Tech Computer Science and Engineering with a cutoff of 1398 (BCB stands for Backward Category B)
VITB, AP-PGECET Cutoff 2025 for BCB Category is listed below.
| Courses | Round 1 (Closing rank) |
|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 858 |
| M.Tech Computer Science and Engineering | 1398 |
M.Tech Computer Science and Engineering is consistently the top choice for SC category students with a cutoff of 1804 in 2025, 234 in 2019, There is an increase in cutoff rank for M.Tech Computer Science and Engineering in 2025 as compared to 2019.
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech Computer Science and Engineering | 1804 | 234 |
| M.Tech. Artificial Intelligence and Machine Learning | 2924 | - |
| M.Tech Electrical Power Engineering | - | 1624 |
| M.Tech. Advanced Manufacturing | - | 3109 |
| M.Tech Digital Electronics & Communication Systems | - | 681 |
M.Tech. Artificial Intelligence and Machine Learning is consistently the top choice for ST category students with a cutoff of 1398 in 2025,
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1398 | - |
| M.Tech Computer Science and Engineering | 2462 | - |
| M.Tech. Advanced Manufacturing | - | 1102 |
| M.Tech Digital Electronics & Communication Systems | - | 1612 |
M.Tech Electrical Power Engineering is consistently the top choice for OC category students with a cutoff of 180 in 2025, 730 in 2019, There is an decrease in cutoff rank for M.Tech Electrical Power Engineering in 2025 as compared to 2019.
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech Electrical Power Engineering | 180 | 730 |
| M.Tech. Artificial Intelligence and Machine Learning | 580 | - |
| M.Tech Computer Science and Engineering | 705 | 1447 |
| M.Tech Digital Electronics & Communication Systems | 743 | 977 |
| M.Tech. Advanced Manufacturing | - | 941 |
M.Tech. Artificial Intelligence and Machine Learning is consistently the top choice for EWSOC category students with a cutoff of 1020 in 2025,
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1020 | - |
| M.Tech Computer Science and Engineering | 3278 | - |
| M.Tech. Advanced Manufacturing | - | 2521 |
M.Tech. Artificial Intelligence and Machine Learning is consistently the top choice for BCD category students with a cutoff of 1020 in 2025,
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 1020 | - |
| M.Tech Computer Science and Engineering | 1203 | - |
| M.Tech Electrical Power Engineering | - | 2150 |
| M.Tech. Advanced Manufacturing | - | 2891 |
M.Tech Computer Science and Engineering is consistently the top choice for BCA category students with a cutoff of 1398 in 2025,
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech Computer Science and Engineering | 1398 | - |
| M.Tech. Artificial Intelligence and Machine Learning | 3798 | - |
| M.Tech Electrical Power Engineering | - | 1493 |
| M.Tech. Advanced Manufacturing | - | 2521 |
M.Tech. Artificial Intelligence and Machine Learning is consistently the top choice for BCB category students with a cutoff of 858 in 2025,
| Courses | 2025 | 2019 |
|---|---|---|
| M.Tech. Artificial Intelligence and Machine Learning | 858 | - |
| M.Tech Computer Science and Engineering | 1398 | - |
| M.Tech Electrical Power Engineering | - | 2242 |
| M.Tech. Advanced Manufacturing | - | 2069 |
Based on the AP PGECET 2025 cutoff data for admission to VITB, the ranks vary for different M.Tech programs and reservation categories.
For candidates in the SC category, the cutoff for admission ranges from 2924 in M.Tech Artificial Intelligence and Machine Learning to 3851 in M.Tech Computer Science and Engineering. In the ST category, the cutoff for M.Tech Computer Science and Engineering is 2462.
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