Koshys Institute of Technology Bangalore Cutoff 2026: Check Category-wise and Round-wise Cutoff

Bangalore, KarnatakaEstd 2003 VTU, Belgaum

Koshys Institute of Technology Bangalore Cutoff 2026

KCET
2026
1G

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Collegedunia Team

Content Curator | Updated on - Sep 4, 2026

Koshys Institute of Technology Bangalore cutoff is available for KCET, COMEDK-UGET here. You can check category wise Koshys Institute of Technology Bangalore cutoff for popular courses such as BE below.

Koshys Institute of Technology Bangalore offers admission to BE through KCET, COMEDK-UGET.

Course Exam Cutoff
BE KCET 119773 - 279156
BE COMEDK-UGET 107008

Table of Content

  1. Koshys Institute of Technology Bangalore KCET Cutoff 2026
    1. Koshys Institute of Technology Bangalore BE Information Science & Engineering Cutoff 2026
  2. Koshys Institute of Technology Bangalore KCET Cutoff Trends
    1. Koshys Institute of Technology Bangalore KCET BE Cutoff Trends: Category-wise
    2. Koshys Institute of Technology Bangalore KCET BE Cutoff Trends: Course-wise
  3. Koshys Institute of Technology Bangalore COMEDK-UGET Cutoff 2026
    1. Koshys Institute of Technology Bangalore BE Artificial Intelligence & Machine Learning Cutoff 2026
  4. Koshys Institute of Technology Bangalore COMEDK-UGET Cutoff Trends
    1. Koshys Institute of Technology Bangalore COMEDK-UGET BE Cutoff Trends: Category-wise
    2. Koshys Institute of Technology Bangalore COMEDK-UGET BE Cutoff Trends: Course-wise

Koshys Institute of Technology Bangalore KCET Cutoff 2026

Students can take admission in BE programs at Koshys Institute of Technology Bangalore based on KCET score. As per Koshys Institute of Technology Bangalore KCET Cutoff 2026, the overall cutoff for BE programs in Round 2 is 119773 - 279156 across all categories.

BE Information Science & Engineering, is the top choice for students appearing in KCET.

In 2026, BE Information Science & Engineering closing rank for 2AG Category is 226254 in Round 2.

You can check BE Information Science & Engineering, category-wise closing rank for KCET below:

Koshys Institute of Technology Bangalore BE Information Science & Engineering Cutoff 2026

Category Closing rank
2AG 226254
3BG 205902
GM 189711 - 231144
GMH 224461
GMR 245997
1G 190329
2BG 198527

Koshys Institute of Technology Bangalore KCET Cutoff Trends

Admission at Koshys Institute of Technology Bangalore in BE Programs in 2026 was closed at 279156 You can check category-wise and course-wise closing rank trends below:

Koshys Institute of Technology Bangalore KCET BE Cutoff Trends: Category-wise

Category 2026
2AK
163499
STH
176644
1R
177294
3AG
185470
3AR
196223
2BG
198527
1G
201847
3BG
205902
3BR
208474
GMK
215326
STG
219222
GMH
224461
GMR
245997
2AG
258806
GM
279156

Koshys Institute of Technology Bangalore KCET BE Cutoff Trends: Course-wise

Koshys Institute of Technology Bangalore COMEDK-UGET Cutoff 2026

Students can take admission in BE programs at Koshys Institute of Technology Bangalore based on COMEDK-UGET score. As per Koshys Institute of Technology Bangalore COMEDK-UGET Cutoff 2026, the overall cutoff for BE programs in Round 1 is 107008 across all categories.

BE Artificial Intelligence & Machine Learning, is the top choice for students appearing in COMEDK-UGET.

In 2026, BE Artificial Intelligence & Machine Learning closing rank for GM Category is 107008 in Round 1.

You can check BE Artificial Intelligence & Machine Learning, category-wise closing rank for COMEDK-UGET below:

Koshys Institute of Technology Bangalore BE Artificial Intelligence & Machine Learning Cutoff 2026

Category Closing rank
GM 107008

Koshys Institute of Technology Bangalore COMEDK-UGET Cutoff Trends

Admission at Koshys Institute of Technology Bangalore in BE Programs in 2026 was closed at 107008 You can check category-wise and course-wise closing rank trends below:

Koshys Institute of Technology Bangalore COMEDK-UGET BE Cutoff Trends: Category-wise

Category 2026
GM
107008

Koshys Institute of Technology Bangalore COMEDK-UGET BE Cutoff Trends: Course-wise

Courses Closing rank 2026
Artificial Intelligence & Machine Learning
107008

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