SJC Institute of Technology cutoff 2024 for B.Tech programmes will be disclosed by the Consortium of Medical, Engineering & Dental Colleges in Karnataka (COMEDK) following the result announcement on May 24, 2024 (tentative). Aspiring candidates who have met the required cutoff will proceed to the counseling phase, expected to commence in May 2024. SJC Institute of Technology cutoff ranks for the B.Tech in CSE for General Merit candidates is expected to be within the range of 62080 - 62085 ranks. Meanwhile, for candidates applying under the KKR category, the cutoff is anticipated to be between 75914 - 75919 ranks. It's important to note that actual SJC Institute of Technology cutoff ranks for 2024 may vary depending on factors such as availability of seats, the number of applicants, and the overall difficulty level of COMEDK. For the B.Tech in Information Science and Engineering, the expected cutoff for GM category candidates is approximately 55651 - 55656 ranks, while for KKR category candidates, SJC Institute of Technology cutoff is expected to be within the range of 58089 - 58094 ranks.
Course | Expected cutoff ranks |
Computer Science and Engineering | 62080 - 62085 |
Electronics and Communication Engineering | 42270 - 42275 |
Information Science and Engineering | 55651 - 55656 |
Artificial Intelligence and Data Science | 27271 - 27276 |
Civil Engineering | 71772 - 71777 |
Aeronautical Engineering | 74974 - 74979 |
Computer Science and Design | 61314 - 61319 |
Aerospace Engineering | 67470 - 67475 |
Computer Science and Engineering( Artificial Intelligence and Machine Learning) | 47555 - 47560 |
Course | Expected cutoff ranks |
Computer Science and Engineering | 75914 - 75919 |
Electronics and Communication Engineering | 42270 - 42275 |
Information Science and Engineering | 58089 - 58094 |
Artificial Intelligence and Data Science | 68098 - 68103 |
Civil Engineering | 71772 - 71777 |
Aeronautical Engineering | 74974 - 74979 |
Computer Science and Design | 61314 - 61319 |
Aerospace Engineering | 67470 - 67475 |
Computer Science and Engineering( Artificial Intelligence and Machine Learning) | 64631 - 64636 |
SJC Institute of Technology cutoff 2024 for KCET is released by the Karnataka Examination Authority (KEA). CSE cutoff is expected to be around 23044 - 23054 (GM category). 33727 - 33737 is expected to be the cutoff for Artificial Intelligence and Data Science (GM category). SJC Institute of Technology cutoff for Artificial Intelligence & Machine Learning is expected to be 34436 - 34446 (GM category). For ECE, the cutoff is expected to be 44854 - 44864 (GM category). The expected cut off for Mechanical Engineering for admission in SJC Institute of Technology is 97052 - 97062 (GM category).
Courses | Category | Closing Rank |
BE Computer Science and Engineering | GM | 23044 - 23054 |
BE Computer Science and Engineering | GMR | 25952 - 25962 |
BE Computer Science and Engineering | SCG | 61167 - 61177 |
BE Computer Science and Engineering | 2AG | 27299 - 27309 |
Courses | Category | Closing Rank |
BE Artificial Intelligence and Data Science | GM | 33727 - 33737 |
BE Artificial Intelligence and Data Science | GMR | 37254 - 37264 |
BE Artificial Intelligence and Data Science | SCG | 67361 - 67371 |
BE Artificial Intelligence and Data Science | 2AG | 37157 - 37167 |
Courses | Category | Closing Rank |
BE Artificial Intelligence & Machine Learning | GM | 34436 - 34446 |
BE Artificial Intelligence & Machine Learning | GMR | 41107 - 41117 |
BE Artificial Intelligence & Machine Learning | SCG | 80182 - 80192 |
BE Artificial Intelligence & Machine Learning | 2AG | 40806 - 40816 |
Courses | Category | Closing Rank |
BE Electronics & Communication Engineering | GM | 44854 - 44864 |
BE Electronics & Communication Engineering | GMR | 50559 - 50569 |
BE Electronics & Communication Engineering | SCG | 108466 - 108476 |
BE Electronics & Communication Engineering | 2AG | 55912 - 55922 |
Courses | Category | Closing Rank |
BE Mechanical Engineering | GM | 97052 - 97062 |
BE Mechanical Engineering | GMR | 127289 - 127299 |
BE Mechanical Engineering | SCG | 179555 - 179565 |
BE Mechanical Engineering | 2AG | 119875 - 119885 |
Note: Based on the previous year’s cutoff ranks, the SJC Institute of Technology cutoff 2024 (expected) is curated. Therefore, the cutoff ranks provided are an estimate rather than the actual rank.
It can be observed from the SJC Institute of Technology cut off trends that the CSE cutoff rank dropped by 89.50% from 2022 to 2023. For Artificial Intelligence and Data Science, the cut off rose by 15.60% from 2022 to 2023. However, the cutoff rank dropped for Artificial Intelligence & Machine Learning by 0.72% from 2022 to 2023.
Courses | Category | 2023 | 2022 | 2021 |
BE Computer Science and Engineering | GM | 23064 | 22526 | 23073 |
BE Artificial Intelligence and Data Science | GM | 33747 | 39986 | - |
BE Artificial Intelligence & Machine Learning | GM | 34456 | 34208 | 30537 |
BE Electronics & Communication Engineering | GM | 44874 | 48019 | 53993 |
BE Mechanical Engineering | GM | 97072 | 113878 | 180747 |
BE Civil Engineering | GM | 200622 | 171550 | 144449 |
BE Computer Science and Design | GM | 61431 | 50134 | - |
BE Information Science & Engineering | GM | 33633 | 32149 | 33929 |
BE Aerospace Engineering | GM | 51441 | 52319 | 42826 |
BE Aeronautical Engineering | GM | 72257 | 43460 | 41931 |
SJC Institute of Technology admissions to various undergraduate courses is determined on the basis of KCET 2023 scores. The KCET 2023 result is expected to be announced on June 14, 2023, and candidates will need to enter their registration number and date of birth to check it. The SJC Institute of Technology KCET cut off 2023 will be released by KEA after the announcement of the result in the form of opening and closing ranks for each category of candidates. The SJCIT cut off is the minimum score required by a candidate to be eligible for admission, and this is determined based on the difficulty level of the exam, the number of candidates who appeared for the exam, the number of candidates who qualified for the entrance exam, and the number of seats. Candidates who meet the SJC Institute of Technology cutoff 2023 will be eligible to participate in the KCET counseling process.
Course | 2AG | 2BG | 3AG | STG |
AD Artificial Intel, Data Sc | 37177 | 47906 | 34877 | 89079 |
AE Aeronaut.Engg | 73629 | 89358 | -- | 109113 |
CA CS (AI, Machine Learning) | 40826 | 47205 | 38066 | 92981 |
CD Computer Sc. and Design | 65574 | 90148 | 61506 | 102957 |
CE Civil | 172992 | 147657 | 149379 | -- |
CS Computers | 27319 | 30214 | 24940 | 53240 |
EC Electronics | 55932 | 61072 | 46989 | 98308 |
IE Info.Science | 37480 | 39126 | 35799 | 97956 |
ME Mechanical | 119895 | 154491 | -- | 168564 |
SE Aero Space Engg. | 54048 | -- | -- | 120792 |
The cutoff for SJCIT Chickballapur is determined by candidates' performance in the entrance exam-KCET/COMEDK. The SJCIT Chickballapur cutoff is the minimum score a candidate must have in order to be admitted to the institute. The SJC Institute of Technology cut off 2022 is determined by the level of difficulty of KCET/COMEDK UGET, the previous year's cutoff trends, and the total number of candidates who applied.
Course | Opening Home State rank | Closing Home State rank |
BE Aeronautical Engineering | 100901 | 100901 |
BE Aerospace Engineering | 42826 | 100302 |
BE Civil Engineering | 144449 | 161627 |
BE Civil Engineering Kannada | 155349 | 169393 |
BE Computer Science and Engineering | 23073 | 28413 |
BE Computer Science and Engineering Artificial Intelligence and Machine Learning | 30537 | 43249 |
BE Electronics and Communication Engineering | 53993 | 74258 |
BE Information Science and Engineering | 33929 | 39808 |
BE Mechanical Engineering | 180747 | 180990 |
Course | Closing Home State rank |
B.Tech Artificial Intelligence and Data Science | 135668 |
B.Tech Computer Science and Design | 109629 |
BE Aeronautical Engineering | 99139 |
BE Aerospace Engineering | 117826 |
BE Civil Engineering | 147172 |
BE Computer Science and Engineering | 61836 |
BE Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning | 125395 |
BE Electronics and Communication Engineering | 153629 |
BE Information Science and Engineering | 76177 |
BE Mechanical Engineering | 128881 |
Course | Closing Home State rank |
BE Aeronautical Engineering | 151624 |
BE Aerospace Engineering | 103448 |
BE Computer Science and Engineering | 39258 |
BE Electronics and Communication Engineering | 108887 |
BE Information Science and Engineering | 60035 |
BE Mechanical Engineering | 142317 |
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