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The Official KCET Cutoff 2026 for KVG College of Engineering Sullia has not been released yet. However, students can refer to the expected KCET 2026 cutoff for KVG College of Engineering Sullia, which is based on the trends observed in previous years cutoff.
KVG College of Engineering Sullia KCET Cutoff 2026 (Category Wise)
KVG College of Engineering Sullia KCET 2026 Expected Cutoff for GM Category ranges between 55480 - 261657. For Round 1, KVG College of Engineering Sullia KCET 2026 is expected to be 55480-198805.
| Category | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| GM | 55480-198805 | 55480-261657 |
| 1G | 56066-177191 | 56066-222751 |
| 2AG | 67606-200154 | 67606-244427 |
| 2BG | 72737-129501 | 72737-220604 |
| 3BG | 57153-119354 | 57153-193214 |
| GMK | 55933-213441 | 55933-213441 |
| GMR | 57431-185443 | 57431-230421 |
| SCG | 108432-230811 | 108432-266188 |
| SCR | 109505-229557 | 109505-229557 |
| 2AR | 68521-129372 | 68521-148288 |
| 3AG | 57250-128054 | 57250-200360 |
| STG | 71358-209188 | 71358-220723 |
| 1K | - | 110604-118264 |
| 3BR | 58332-111607 | 58332-136215 |
| SCK | 122947-187636 | 122947-218408 |
| STR | 139181-211563 | 139181-211563 |
| 2AK | 91026-116655 | 91026-141885 |
| 3AR | 73649-160971 | 73649-183929 |
| 1R | 91753-137022 | 91753-196577 |
| 2BR | 78484-140714 | 78484-225278 |
Also Check:
KVG College of Engineering Sullia KCET Cutoff 2026 (Course Wise)
KVG College of Engineering Sullia KCET Cutoff 2026 for GM Category
BE Mechanical Engineering Cutoff for KCET (GM Category) expected to fall in the range between 136361-191030, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Computer Science and Engineering is expected to be the second most preferred course for GM Category with expected range of 55480-243478. You can check course wise expected KCET 2026 cutoff for GM Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Mechanical Engineering | 171683-191030 | 136361-191030 |
| BE Computer Science and Engineering | 55480-102955 | 55480-243478 |
| BE Artificial Intelligence & Machine Learning | 69573-102704 | 69573-248344 |
| BE Civil Engineering | 132030-198805 | 131066-254057 |
| BE Electronics & Communication Engineering | 74692-117089 | 74692-261657 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 1G Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (1G Category) expected to fall in the range between 84544-133612, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Civil Engineering is expected to be the second most preferred course for 1G Category with expected range of 177191-177191. You can check course wise expected KCET 2026 cutoff for 1G Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 84544-119527 | 84544-133612 |
| BE Civil Engineering | 177191-177191 | 177191-177191 |
| BE Electronics & Communication Engineering | 94884-140513 | 94884-180700 |
| BE Computer Science and Engineering | 56066-113494 | 56066-222751 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 2AG Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (2AG Category) expected to fall in the range between 80123-119855, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 2AG Category with expected range of 81363-155996. You can check course wise expected KCET 2026 cutoff for 2AG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 80123-119855 | 80123-119855 |
| BE Electronics & Communication Engineering | 81363-126946 | 81363-155996 |
| BE Civil Engineering | 168099-200154 | 168099-200154 |
| BE Computer Science and Engineering | 67606-116213 | 67606-244427 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 2BG Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (2BG Category) expected to fall in the range between 86172-134804, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 2BG Category with expected range of 84935-158339. You can check course wise expected KCET 2026 cutoff for 2BG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 86277-119678 | 86172-134804 |
| BE Electronics & Communication Engineering | 84935-129501 | 84935-158339 |
| BE Computer Science and Engineering | 72737-108609 | 72737-220604 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 3BG Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (3BG Category) expected to fall in the range between 74871-126731, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 3BG Category with expected range of 78396-158558. You can check course wise expected KCET 2026 cutoff for 3BG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 74871-109232 | 74871-126731 |
| BE Electronics & Communication Engineering | 78396-119354 | 78396-158558 |
| BE Computer Science and Engineering | 57153-107736 | 57153-193214 |
KVG College of Engineering Sullia KCET Cutoff 2026 for GMK Category
BE Electronics & Communication Engineering Cutoff for KCET (GMK Category) expected to fall in the range between 99685-145385, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Artificial Intelligence & Machine Learning is expected to be the second most preferred course for GMK Category with expected range of 78064-157480. You can check course wise expected KCET 2026 cutoff for GMK Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Electronics & Communication Engineering | 99685-112829 | 99685-145385 |
| BE Artificial Intelligence & Machine Learning | 78064-103576 | 78064-157480 |
| BE Computer Science and Engineering | 55933-106394 | 55933-182163 |
| BE Civil Engineering | 213441-213441 | 213441-213441 |
KVG College of Engineering Sullia KCET Cutoff 2026 for GMR Category
BE Computer Science and Engineering Cutoff for KCET (GMR Category) expected to fall in the range between 57431-127510, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for GMR Category with expected range of 84187-132764. You can check course wise expected KCET 2026 cutoff for GMR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 57431-110565 | 57431-127510 |
| BE Electronics & Communication Engineering | 84187-124875 | 84187-132764 |
| BE Artificial Intelligence & Machine Learning | 73029-121772 | 73029-171683 |
| BE Civil Engineering | 135650-185443 | 132030-230421 |
KVG College of Engineering Sullia KCET Cutoff 2026 for SCG Category
BE Computer Science and Engineering Cutoff for KCET (SCG Category) expected to fall in the range between 108432-217128, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for SCG Category with expected range of 131732-225101. You can check course wise expected KCET 2026 cutoff for SCG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 108432-181070 | 108432-217128 |
| BE Electronics & Communication Engineering | 131732-186568 | 131732-225101 |
| BE Artificial Intelligence & Machine Learning | 149011-194579 | 149011-240408 |
| BE Civil Engineering | 148636-230811 | 148636-266188 |
KVG College of Engineering Sullia KCET Cutoff 2026 for SCR Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (SCR Category) expected to fall in the range between 152635-222851, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Computer Science and Engineering is expected to be the second most preferred course for SCR Category with expected range of 109505-227887. You can check course wise expected KCET 2026 cutoff for SCR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 152635-222851 | 152635-222851 |
| BE Computer Science and Engineering | 109505-192495 | 109505-227887 |
| BE Electronics & Communication Engineering | 175330-229557 | 175330-229557 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 2AR Category
BE Electronics & Communication Engineering Cutoff for KCET (2AR Category) expected to fall in the range between 85827-115947, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Artificial Intelligence & Machine Learning is expected to be the second most preferred course for 2AR Category with expected range of 101794-131593. You can check course wise expected KCET 2026 cutoff for 2AR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Electronics & Communication Engineering | 85827-85827 | 85827-115947 |
| BE Artificial Intelligence & Machine Learning | 101794-129372 | 101794-131593 |
| BE Computer Science and Engineering | 68521-128770 | 68521-148288 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 3AG Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (3AG Category) expected to fall in the range between 70356-117117, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 3AG Category with expected range of 78556-137444. You can check course wise expected KCET 2026 cutoff for 3AG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 70356-117117 | 70356-117117 |
| BE Electronics & Communication Engineering | 78556-128054 | 78556-137444 |
| BE Computer Science and Engineering | 57250-105804 | 57250-200360 |
KVG College of Engineering Sullia KCET Cutoff 2026 for STG Category
BE Computer Science and Engineering Cutoff for KCET (STG Category) expected to fall in the range between 71358-178425, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for STG Category with expected range of 102282-188669. You can check course wise expected KCET 2026 cutoff for STG Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 71358-173001 | 71358-178425 |
| BE Electronics & Communication Engineering | 102282-136428 | 102282-188669 |
| BE Artificial Intelligence & Machine Learning | 116122-209188 | 116122-209188 |
| BE Civil Engineering | 157480-175957 | 157480-220723 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 1K Category
BE Computer Science and Engineering Cutoff for KCET (1K Category) expected to fall in the range between 110604-110604, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Artificial Intelligence & Machine Learning is expected to be the second most preferred course for 1K Category with expected range of 118264-118264. You can check course wise expected KCET 2026 cutoff for 1K Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | - | 110604-110604 |
| BE Artificial Intelligence & Machine Learning | - | 118264-118264 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 3BR Category
BE Computer Science and Engineering Cutoff for KCET (3BR Category) expected to fall in the range between 58332-136215, which makes it the most in-demand course for KVG College of Engineering Sullia. You can check course wise expected KCET 2026 cutoff for 3BR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 58332-111607 | 58332-136215 |
KVG College of Engineering Sullia KCET Cutoff 2026 for SCK Category
BE Computer Science and Engineering Cutoff for KCET (SCK Category) expected to fall in the range between 122947-218408, which makes it the most in-demand course for KVG College of Engineering Sullia. You can check course wise expected KCET 2026 cutoff for SCK Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 122947-187636 | 122947-218408 |
KVG College of Engineering Sullia KCET Cutoff 2026 for STR Category
BE Computer Science and Engineering Cutoff for KCET (STR Category) expected to fall in the range between 139181-210391, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Artificial Intelligence & Machine Learning is expected to be the second most preferred course for STR Category with expected range of 211563-211563. You can check course wise expected KCET 2026 cutoff for STR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 139181-184196 | 139181-210391 |
| BE Artificial Intelligence & Machine Learning | 211563-211563 | 211563-211563 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 2AK Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (2AK Category) expected to fall in the range between 91026-130847, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 2AK Category with expected range of 97904-135748. You can check course wise expected KCET 2026 cutoff for 2AK Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 91026-91026 | 91026-130847 |
| BE Electronics & Communication Engineering | 97904-97904 | 97904-135748 |
| BE Computer Science and Engineering | 106200-116655 | 106200-141885 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 3AR Category
BE Artificial Intelligence & Machine Learning Cutoff for KCET (3AR Category) expected to fall in the range between 73649-111381, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Electronics & Communication Engineering is expected to be the second most preferred course for 3AR Category with expected range of 103847-140007. You can check course wise expected KCET 2026 cutoff for 3AR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Artificial Intelligence & Machine Learning | 73649-73649 | 73649-111381 |
| BE Electronics & Communication Engineering | 103847-131420 | 103847-140007 |
| BE Civil Engineering | 160971-160971 | 135650-183929 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 1R Category
BE Computer Science and Engineering Cutoff for KCET (1R Category) expected to fall in the range between 91753-91753, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Artificial Intelligence & Machine Learning is expected to be the second most preferred course for 1R Category with expected range of 137022-137022. You can check course wise expected KCET 2026 cutoff for 1R Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Computer Science and Engineering | 91753-91753 | 91753-91753 |
| BE Artificial Intelligence & Machine Learning | 137022-137022 | 137022-137022 |
| BE Electronics & Communication Engineering | 132194-132194 | 132194-196577 |
KVG College of Engineering Sullia KCET Cutoff 2026 for 2BR Category
BE Electronics & Communication Engineering Cutoff for KCET (2BR Category) expected to fall in the range between 140714-216314, which makes it the most in-demand course for KVG College of Engineering Sullia. Furthermore,BE Computer Science and Engineering is expected to be the second most preferred course for 2BR Category with expected range of 78484-225278. You can check course wise expected KCET 2026 cutoff for 2BR Category in below table:
| Course | Round 1 Closing rank (Expected Range) | Closing rank (Expected Range) |
|---|---|---|
| BE Electronics & Communication Engineering | 140714-140714 | 140714-216314 |
| BE Computer Science and Engineering | 78484-96383 | 78484-225278 |
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