Struggling to understand the REVA University KCET cutoff for 2024? You’re not alone. Every year, students like you face uncertainty about what score they need to secure admission.
This article aims to ease your worries by providing clear insights into past cutoff trends. By analysing previous years’ data, you can gain a better understanding of what to expect and how to plan accordingly.
Whether you’re aiming for engineering or any other program at REVA University, knowing the cutoff trends can help you strategize your preparation and increase your chances of admission. Let’s delve into the numbers and make informed decisions together.
Overview of REVA University
REVA University is a private university in Bangalore, India. Established in 2012, it offers programs in engineering, science, management, law, arts, and more. REVA University focuses on practical learning with an industry-oriented curriculum. They have over 600 teachers and instruct over 15,000 students.
The university is known for its well-equipped labs and a beautiful 45-acre campus. REVA University aims to prepare students for successful careers by combining knowledge with practical skills. They also have a strong focus on research and innovation.
With a clearer picture of REVA University, let’s move on to predicting the KCET cutoff for the upcoming 2024 admissions.
REVA University KCET Cutoff 2024 Predictions
Based on previous years’ data and trends, we anticipate the KCET cutoff for REVA University in 2024 to be competitive yet within a reasonable range. Factors such as the difficulty level of the exam, the number of applicants, and the university’s admission criteria will influence the cutoff scores:
REVA University CSE Cutoff 2024 – Expected
| Course | Category | Cutoff Rank |
| Computer Science Engineering | GM | 12885-12890 |
| Computer Science Engineering | 2AG | 17010-17015 |
| Computer Science Engineering | SCG | 48680-48688 |
| Computer Science Engineering | STG | 52135-52141 |
REVA University Cutoff 2024 – Electronics and Communication Engineering (Expected)
| Course | Category | Cutoff Rank |
| Electronics & Communication Engineering | GM | 25102 – 25112 |
| Electronics & Communication Engineering | 2AG | 30617 – 30627 |
| Electronics & Communication Engineering | SCG | 88361 – 88371 |
| Electronics & Communication Engineering | STG | 80617 – 80627 |
REVA University Information Science & Engineering Cutoff 2024 (Expected)
| Course | Category | Cutoff Rank |
| Information Science & Engineering | GM | 16228 – 16238 |
| Information Science & Engineering | 2AG | 20716 – 20726 |
| Information Science & Engineering | SCG | 68178 – 68188 |
| Information Science & Engineering | STG | 79499 – 79509 |
REVA University Cutoff 2024 – Artificial Intelligence and Machine Learning (Expected)
| Course | Category | Cutoff Rank |
| Artificial Intelligence and Machine Learning | GM | 20188 – 20198 |
| Artificial Intelligence and Machine Learning | 2AG | 23264 – 23274 |
| Artificial Intelligence and Machine Learning | SCG | 76171 – 76181 |
| Artificial Intelligence and Machine Learning | STG | 93006 – 93016 |
REVA University Computer Science and Information Technology Cutoff 2024 (Expected)
| Course | Category | Cutoff Rank |
| Computer Science and Information Technology | GM | 21571 – 21581 |
| Computer Science and Information Technology | 2AG | 27342 – 27352 |
| Computer Science and Information Technology | SCG | 75700 – 75710 |
| Computer Science and Information Technology | STG | 95481 – 95491 |
REVA University Computer Science and Systems Engineering Cutoff 2024 – Expected
| Course | Category | Cutoff Rank |
| Computer Science and Systems Engineering | GM | 24667 – 24677 |
| Computer Science and Systems Engineering | 2AG | 33878 – 33888 |
| Computer Science and Systems Engineering | SCG | 88715 – 88725 |
| Computer Science and Systems Engineering | STG | 186500 – 186510 |
Now that we’ve looked ahead, let’s take a step back and examine the cutoff trends from previous years to gain insights.
Previous Years’ REVA University KCET Cutoff Trends
Analysing cutoff trends from previous years provides valuable insights into the expected cutoff for 2024. By understanding how cutoff scores have fluctuated over time, prospective students can better gauge their chances of securing admission to REVA University through KCET:
REVA University KCET Cutoff 2023
| B.Tech Specializations | GM Cutoff | 2AG Cutoff | SCG Cutoff | STG Cutoff |
| Computer Science Engineering | 12890 | 17015 | 48688 | 52141 |
| Information Science & Engineering | 16238 | 20726 | 68188 | 79509 |
| Artificial Intelligence and Machine Learning | 20198 | 23274 | 76181 | 93016 |
| Computer Science and Information Technology | 21581 | 27352 | 75710 | 95491 |
| Blockchain & IoT | 22334 | 27855 | 83151 | 88606 |
| Computer Science and Systems Engineering | 24677 | 33888 | 88725 | 186510 |
| Electronics & Communication Engineering | 25112 | 30627 | 88371 | 80627 |
| Electronics & Computer Engineering | 31800 | 34770 | 80903 | 199258 |
| Robotics and Automation | 38686 | 55482 | 120202 | – |
| Aerospace Engineering | 41286 | 47542 | 112448 | – |
| Electrical and Electronics Engineering | 45309 | 58172 | 134779 | – |
| Agricultural Engineering | 52442 | 59190 | 127060 | 74417 |
| Mechatronics | 66360 | 81918 | 188264 | – |
| Mechanical Engineering | 91556 | 125644 | 188118 | – |
| Civil Engineering | 100966 | 126696 | 161823 | – |
REVA University KCET Cutoff 2022
| B.Tech Specializations | General Cutoff | SC Cutoff | ST Cutoff |
| Computer Science and Engineering | 13050 | 39722 | 19641 |
| Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 19126 | 48709 | 40732 |
| Electronics and Communication Engineering | 24852 | 71569 | 45642 |
| Electrical and Electronics Engineering | 60609 | 152010 | 80377 |
| Computer Science and Information Technology | 22632 | 64644 | 46682 |
| Mechanical Engineering | 169402 | – | – |
| Artificial Intelligence and Data Science | 23736 | 65830 | 42530 |
| Robotics and Automation | 49236 | 143822 | 108154 |
| Mechatronics Engineering | 87490 | 139103 | – |
| Electronics and Computer Engineering | 32019 | 88272 | – |
| Computer Science and System Engineering | 25827 | 75373 | – |
| Civil Engineering | 173148 | – | – |
| Electronics and Computer Engineering | 57332 | – | |
| Information Science and Engineering | 16418 | 45833 | 28971 |
| Computer Science and Engineering (Internet of Things and BlockChain Technology) | 23417 | 75284 | – |
REVA University KCET Cutoff 2021
| B.Tech Specializations | General Cutoff | SC Cutoff | ST Cutoff | PWD Cutoff |
| Computer Science and Engineering | 12249 | 36178 | 27892 | 12249 |
| Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 15869 | 50634 | 21181 | – |
| Electronics and Communication Engineering | 23350 | 61645 | 40910 | – |
| Electrical and Electronics Engineering | 55603 | 131989 | 102330 | – |
| Computer Science and Information Technology | 19756 | 52531 | 41311 | – |
| Mechanical Engineering | 181211 | – | – | – |
| Artificial Intelligence and Data Science | 19566 | 57938 | 34496 | 19566 |
| Robotics and Automation | 47076 | 169416 | 126007 | – |
| Mechatronics Engineering | 49214 | 135746 | – | – |
| Electronics and Computer Engineering | 34269 | 174657 | 87761 | 57332 |
| Computer Science and System Engineering | 26232 | 74032 | 74902 | – |
| Civil Engineering | 181252 | – | – | 181252 |
| Electrical and Computer Engineering | 57332 | 173135 | 123347 | 55603 |
| Bioelectronics Engineering | 74507 | 173139 | – | – |
| Information Science and Engineering | 13599 | 41298 | 33381 | – |
REVA University KCET Cutoff 2020
| B.Tech Specializations | General Cutoff | SC Cutoff | ST Cutoff |
| Bio-Electronics Engineering | 76718 | 101404 | 86932 |
| Computer Science (AI Machine Learning) Engineering | 32897 | 81311 | 66042 |
| Civil Engineering | 127397 | 121733 | 88742 |
| Computer and Information Engineering | 25553 | 61443 | 29787 |
| Computer Science Engineering | 22864 | 61182 | 31759 |
| Electronics Engineering | 37760 | – | – |
| Electrical Engineering | 106596 | – | – |
| Electrical and Computer Engineering | 146728 | 149117 | 132997 |
| Electronics and Computer Engineering | 138977 | 138977 | 138977 |
| Information Science Engineering | 28419 | 68574 | 68574 |
| Computer Science and System Engineering | 79840 | – | 79726 |
| Mechatronics Engineering | – | 118416 | 86256 |
Now that we’re equipped with historical data, let’s explore some actionable tips to enhance your chances of scoring well in KCET.
Tips for Scoring Well in KCET
Preparing for KCET requires diligence and strategic planning. To maximise your chances of success, focus on mastering key concepts, practising regularly, and managing your time effectively during the exam. By adopting smart study techniques and staying focused, you can boost your KCET score and secure admission to your desired program at REVA University:
1) Know the Syllabus: Before diving into studying, thoroughly understand the KCET syllabus. This helps you focus your efforts on the relevant topics and avoid wasting time on unnecessary areas. The official KCET website provides a detailed syllabus breakdown.
2) Create a Study Schedule: Plan your study time effectively by creating a realistic and achievable schedule. Allocate sufficient time for each subject, including breaks to avoid burnout. Stick to your schedule as much as possible for consistent progress.
3) Choose the Right Study Materials: Use reliable resources like NCERT textbooks for Physics, Chemistry, and Mathematics as your foundation. You can also supplement these with reference books recommended by teachers or toppers. Focus on quality over quantity – choose a few good books and master the concepts within them.
4) Make Clear and Concise Notes: Taking notes while studying helps you retain information more effectively. Develop a system that works for you, such as using mind maps, flow charts, or short summaries. Focus on key concepts, formulas, and important points for quick revision later.
5) Practise Regularly: Consistent practice is vital for success in KCET. Solve problems from various sources, including previous years’ question papers, sample papers, and chapter-wise practice questions available in reference books. Regularly practising different types of questions improves your problem-solving skills and time management.
With these tips in mind, let’s wrap up our discussion on REVA University’s KCET cutoff.
Conclusion
In conclusion, understanding the KCET cutoff for REVA University aids students in planning their academic pursuits. Past trends provide insights into the competitive nature of admissions. By analysing these cutoffs, students can strategize effectively to secure admission.
The data empowers students to make informed decisions about their education journey. It’s crucial for aspiring students to grasp the significance of these cutoffs in the admission process. With this knowledge, students can navigate the admissions process with confidence.
REVA University’s KCET cutoff serves as a benchmark for students aspiring to pursue their desired courses. It’s essential for students to stay updated with current and past cutoff trends for informed decision-making.
