| Stream / Specialization | Category | Rank | Year | Round |
|---|---|---|---|---|
Computer Science Engineering BE/B.Tech | General / male | 73,882 | 2023 | R1 |
Computer Science and Engineering (Artificial Intelligence & Machine Learning) BE/B.Tech | General / male | 1,16,504 | 2023 | R1 |
Electronics & Communication Engineering BE/B.Tech | General / male | 1,11,862 | 2023 | R1 |
Electronics & Communication Engineering BE/B.Tech | General / male | 1,48,017 | 2022 | R1 |
Computer Science Engineering BE/B.Tech | General / male | 89,194 | 2022 | R1 |
Electronics & Communication Engineering BE/B.Tech | General / male | 1,02,986 | 2021 | R1 |
Computer Science Engineering BE/B.Tech | General / male | 41,447 | 2021 | R1 |
Computer Science Engineering BE/B.Tech | General / male | 17,192 | 2020 | R1 |
Electronics & Communication Engineering BE/B.Tech | General / male | 27,290 | 2020 | R1 |
Know your AP-EAPCET rank? See if you qualify for SVPCET.
Predict Now3
2020–2023
7
MCA
Sri Venkatesa Perumal College of Engineering and Technology - (SVPCET) (also known as SVPCET) is a private educational institution located in Andhra Pradesh. It admits students through AP-EAPCET, AP-POLYCET, APICET. 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 AP-EAPCET 2023, SVPCET offered admission to 3 courses across 1 category (General). The closing rank (the rank of the last candidate admitted) is the most reliable benchmark for predicting admission.
Historical data available for 2020–2023. Use the filter above to explore cutoffs from earlier years.
In AP-POLYCET 2022, SVPCET offered admission to 3 courses across 1 category (BCA). The closing rank (the rank of the last candidate admitted) is the most reliable benchmark for predicting admission.
Historical data available for 2022. Use the filter above to explore cutoffs from earlier years.
In APICET 2023, SVPCET offered admission to 2 courses across 1 category (BCB). The closing rank (the rank of the last candidate admitted) is the most reliable benchmark for predicting admission.
Historical data available for 2021–2023. Use the filter above to explore cutoffs from earlier years.
Cutoff data is sourced from official counselling authorities and updated with the 2023 admission cycle. Always cross‑check with the official website.
