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JSS Academy of Technical Education B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff


• Updated on 12 Aug, 2026 by Simran Jethani

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (2024, 2023, 2022) – KCET Opening & Closing Ranks

Particulars Details
Course Name B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
College Name JSSATEN
Admission Through Karnataka Examination Authority (KEA) Counselling (via KCET)
Latest Closing Rank (2024) 51784 (General Category)
Previous Year Closing Rank (2023) 20494 (General Category)
Cutoff Trend Lower Competition (152.68%)
Total Seats NA
Counselling Rounds 3 Rounds
Official Cutoff Release Body Karnataka Examination Authority (KEA)

The JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category closed at 51784 rank, showing a significant decrease in competition compared to 2023, where the closing rank was 20494. The cutoff has consistently tightened over the past few years, indicating rising demand for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at JSSATEN.

Admission to the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program is conducted through Karnataka Examination Authority (KEA) Counselling (via KCET) based on KCET ranks, with a total of 3 rounds of seat allocation.

Summary

  • The closing rank for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 51784 for General category.
  • Compared to 2023 (20494 rank), the cutoff trend is decrease in compeetition.

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (Round-wise Latest Year Trends)

The following tables show round-wise closing cutoff ranks category-wise for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Data is shown for the latest available years: 2024, 2023, 2022

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (General Category)

Round 2024 2023 2022
Round 1 17413 15535 18732

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (GeneralPwD Category)

Round 2023 2022
Round 1 18821 18732

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (OBC Category)

Round 2024 2023 2022
Round 1 17676 18821 18732

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (SC Category)

Round 2024 2023 2022
Round 1 108499 69086 58825

The JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category closed at 17413. The cutoff remained same across counselling rounds, reflecting seat allocation trends during Karnataka Examination Authority (KEA) counselling. Candidates securing ranks within this range were eligible for admission to the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at JSSATEN.

  • The final closing rank for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 17413 (Round 1).
  • The opening rank remained 17413 across all rounds, indicating top preference demand.
  • Cutoff ranks remained same in Round 1 during Karnataka Examination Authority (KEA) counselling.

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff Trends (2022-2024)

Year Closing Rank Change vs Previous Year Trend
2024 51784 ▼ 31290 rank ▼ Lower Competition
2023 20494 ▲ 24213 rank ▲ Higher Competition
2022 44707 - Base Year

The JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff has shown a decrease in competition over the past 3 years. The closing rank dropped from 44707 in 2022 to 20494 in 2023, and further to 51784 in 2024. This indicates a decreasing demand for the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at JSSATEN, with fewer high-ranking candidates opting for this course during Karnataka Examination Authority (KEA).

  • The closing rank changed by 7077 ranks from 2022 to 2024 (~15.83%).
  • The biggest year-on-year jump was between 2023 and 2024 with a change of 31290 ranks.
  • JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) remains highly competitive during counselling rounds.

Cutoff Trend Graph (Closing Rank vs Year)

2022 2023 2024 44707 20494 51784

The closing rank trend indicates decreasing demand for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). As closing ranks move lower (better rank), it reflects higher demand for the program during counselling.

JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Category-wise Cutoff Analysis 2024

Category Closing Rank (2024) Difference vs General Competition Level
General 51784 - Very High
OBC 17413 34371 ranks High
SC 79037 27253 ranks Lower

The JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 varies significantly across categories due to reservation policies. The closing rank for the General category was 51784, while OBC candidates had a closing rank of 17413, showing a difference of 34371 ranks. This variation is primarily driven by category-wise seat allocation and demand differences during counselling.

  • The smallest cutoff gap vs General is for SC at 27253 ranks.
  • The largest cutoff gap vs General is for OBC at 34371 ranks.
  • General category typically remains the most competitive for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission.

Impact of Reservation on JSSATEN Cutoff

The variation in cutoff ranks across categories is influenced by the reservation policy implemented by the Government of India. A fixed percentage of seats is allocated to OBC-NCL, SC, ST, and EWS categories, resulting in relatively higher closing ranks for reserved categories compared to the General category. This ensures equitable access to premier institutions like JSSATEN while maintaining merit-based selection through JEE Advanced.

Factors affecting JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff

Factor Impact Insight
Year-wise Trend Lower rank = higher competition Closing rank moved from 20494 in 2023 to 51784 in 2024
Round-wise Movement Ranks usually expand across rounds General category final closing rank in 2024 is 51784
Category Variation Different cutoffs per category Reserved categories generally have higher closing ranks than General
Course Demand Indicator Consistently lower closing rank suggests stronger demand Recent trend data indicates continued demand concentration

Year-wise Trend Impact

A consistent improvement in closing rank over the years suggests increasing competition for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning), as more high-ranking candidates prefer this course.

Round-wise Cutoff Movement

Cutoff ranks typically expand from the first round to the final round during Karnataka Examination Authority (KEA) counselling, as seats are reallocated based on candidate preferences and withdrawals.

Category-wise Variation

Cutoff ranks differ across categories, with General category usually having the lowest closing rank, indicating higher competition compared to reserved categories.

Seat Matrix for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)

The seat matrix for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is determined during counselling and varies across categories based on reservation policies. Category-wise allocation significantly influences cutoff ranks, with limited seats increasing competition.

JSSATEN vs Peer Colleges B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff

College 2024 Closing Rank (General) 2023 2022
JSSATEN 17413 15535 16303
PES University 6202 - -
Dr. T. Thimmaiah Institute of Technology 81240 76037 64800
RIT 94023 70805 76019

The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff comparison among peer colleges highlights the relative competitiveness of each institute. PES University has the lowest closing rank at 6202, making it the most competitive choice , followed by JSSATEN and Dr. T. Thimmaiah Institute of Technology. RIT has relatively higher closing ranks at 94023, indicating comparatively lower competition among the listed colleges.

Cutoff Comparison Insights

  • PES University has the most competitive cutoff
  • JSSATEN and Dr. T. Thimmaiah Institute of Technology show similar competition levels
  • Higher closing ranks indicate relatively lower competition
  • All listed colleges remain competitive within their respective rank ranges

Lowest cutoff: PES University (Rank ~6202)
Highest cutoff: RIT (Rank ~94023)
JSSATEN falls among the top competitive options

Which College is Best for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Based on Cutoff?

Based on cutoff trends, PES University is the most preferred institute for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) , followed by JSSATEN and Dr. T. Thimmaiah Institute of Technology. Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.

Other Courses at JSSATEN Cutoff

Course Latest Cutoff Link
B.Tech. Computer Science Engineering 41133 View Details
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) (Current) 51784 View Details

JSSATEN offers a range of B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning), with cutoff ranks varying based on demand and seat availability. B.Tech. Computer Science Engineering is the most competitive based on recent data, closing at 41133 , followed by B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at 51784. Other courses also attract varying levels of competition depending on candidate preferences and seat intake. Reviewing cutoff trends across courses can help in making better admission decisions.

Popular Courses at JSSATEN Based on Cutoff

  • B.Tech. Computer Science Engineering has the lowest cutoff → highest demand
  • B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) follows as the second most competitive
  • Additional course comparison limited
  • Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.

Which Course Has the Lowest Cutoff at JSSATEN?

Among all courses, B.Tech. Computer Science Engineering consistently has the lowest cutoff at JSSATEN, making it the most competitive branch. B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) follows as another highly competitive option . Other courses typically have relatively higher cutoff ranks.

FAQs on JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff

What is the JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff for General category?

The latest available closing rank for General category is 51784 (2024).

Can I get JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) with rank 200?

Based on recent cutoff trends, this is possible for the General category.

Does JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff change every year?

Yes. Recent data ranges from around 20494 to 51784, varying by year, round, and seat movement.

What is the closing rank for JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in counselling?

The latest closing rank in the available data is 51784 for General category.

Is JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) better than other colleges based on cutoff?

Cutoff rank is one indicator of demand. In the latest year, the lowest peer cutoff is PES University at rank 6202.

Which college has the lowest cutoff for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)?

Based on available peer data, PES University has the lowest recent closing rank.

What factors affect JSSATEN B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff?

Major factors include exam difficulty, number of applicants, seat matrix, category allocation, and counselling round movements.