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Engineering & Pharmacy Admission 2025 – Cutoff Data, Trends & Career Insights

  • Writer: Ordinal Minds
    Ordinal Minds
  • Aug 5
  • 1 min read
If you are preparing for Engineering Admission 2025 or Pharmacy Admission 2025 in India, understanding cutoff trends is essential. This platform provides structured MHT‑CET (available), JEE Main (coming soon), and GPAT (coming soon) cutoff data for both B.Tech and also for B.Pharm admissions - covering the current year and previous years. You can instantly compare college‑wise cutoffs, category‑wise ranks, seat types, and branches in an easy, sortable format.

Last year, top Computer Science, Artificial Intelligence & Machine Learning, and Data Science branches touched the 99th percentile in leading Maharashtra engineering colleges, while Civil, Production, and Textile Engineering had lower cutoffs. In B.Pharm, colleges with strong placement records, research facilities, and advanced labs consistently showed higher demand.

Admission Tips:
  • Check the last 2–3 years’ cutoffs to estimate realistic chances.
  • Consider emerging specializations like Cybersecurity, Robotics, Renewable Energy Engineering, and Pharmaceutical Technology, which are projected to grow over 15% annually in job demand.
  • Balance college reputation, location, and branch scope before filling your CAP option form.

Our data‑driven approach helps you make informed decisions without guesswork. Explore cutoff trends, career scope, and placement insights to secure a seat in the right college for your future.
 
 
 

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1 Comment


Ranjit Salunke
Ranjit Salunke
Aug 11

Very usefull information!

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Disclaimer: This is not an official website. We do not own, represent, or have any affiliation with, nor are we endorsed by or officially connected to any of the organizations or institutes mentioned here. All data displayed is sourced from official sources available in the public domain. While efforts are made to ensure accuracy, users are advised to verify all information directly from official sources before making any decisions based on the data presented.

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