Ramaiah Institute of Technology B.E. in Artificial Intelligence and Machine Learning Cutoff

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (2024, 2023, 2022) – COMEDK UGET Opening & Closing Ranks

The MSRIT B.E in Artificial Intelligence and Machine Learning cutoff 2024 for the General category closed at 3721 rank, showing a significant decrease in competition compared to 2023, where the closing rank was 2535. The cutoff has consistently tightened over the past few years, indicating rising demand for B.E in Artificial Intelligence and Machine Learning at MSRIT.

Admission to the B.E in Artificial Intelligence and Machine Learning program is conducted through COMEDK Counselling (via COMEDK UGET) based on COMEDK UGET ranks, with a total of 3 rounds of seat allocation.

Summary

• The closing rank for MSRIT B.E in Artificial Intelligence and Machine Learning in 2024 was 3721 for General category.
• Compared to 2023 (2535 rank), the cutoff trend is decrease in compeetition.

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (Round-wise Latest Year Trends)

The following tables show round-wise closing cutoff ranks category-wise for MSRIT B.E in Artificial Intelligence and Machine Learning. Data is shown for the latest available years: 2023, 2022

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (EWS Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (General Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (GeneralPwD Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (HK Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (OBC Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (SC Category)

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff (ST Category)

The MSRIT B.E in Artificial Intelligence and Machine Learning cutoff 2024 for the General category ranged from an opening rank of 6417 in Round 1 to a closing rank of 3721 in the final round (Round 3). The cutoff decreased gradually across counselling rounds, reflecting seat allocation trends during COMEDK counselling. Candidates securing ranks within this range were eligible for admission to the B.E in Artificial Intelligence and Machine Learning program at MSRIT.

• The final closing rank for MSRIT B.E in Artificial Intelligence and Machine Learning in 2024 was 3721 (Round 3).
• The opening rank remained 6417 across all rounds, indicating top preference demand.
• Cutoff ranks tightened gradually from Round 1 to Round 3 during COMEDK counselling.

MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff Trends (2022-2024)

The MSRIT B.E in Artificial Intelligence and Machine Learning cutoff has shown a consistent increase in competition over the past 3 years. The closing rank improved from 7339 in 2022 to 2535 in 2023, and further to 3721 in 2024. This indicates a rising demand for the B.E in Artificial Intelligence and Machine Learning program at MSRIT, with more high-ranking candidates opting for this course during COMEDK.

• The closing rank changed by 3618 ranks from 2022 to 2024 (~49.30%).
• The biggest year-on-year jump was between 2022 and 2023 with a change of 4804 ranks.
• MSRIT B.E in Artificial Intelligence and Machine Learning remains highly competitive during counselling rounds.

Cutoff Trend Graph (Closing Rank vs Year)

MSRIT B.E in Artificial Intelligence and Machine Learning Category-wise Cutoff Analysis 2024

The MSRIT B.E in Artificial Intelligence and Machine Learning cutoff 2024 varies significantly across categories due to reservation policies. The closing rank for the General category was 3721. This variation is primarily driven by category-wise seat allocation and demand differences during counselling.

• The smallest cutoff gap vs General is for HK at 2696 ranks.
• The largest cutoff gap vs General is for HK at 2696 ranks.
• General category typically remains the most competitive for MSRIT B.E in Artificial Intelligence and Machine Learning admission.

Impact of Reservation on MSRIT 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 MSRIT while maintaining merit-based selection through JEE Advanced.

Factors affecting MSRIT B.E in Artificial Intelligence and Machine Learning cutoff

Year-wise Trend Impact

A consistent improvement in closing rank over the years suggests increasing competition for MSRIT B.E in 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 COMEDK 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 MSRIT B.E in Artificial Intelligence and Machine Learning

The MSRIT B.E in Artificial Intelligence and Machine Learning seat matrix shows that a total of 69 seats are available for the program, distributed across multiple categories. This distribution plays a crucial role in determining cutoff ranks, as categories with fewer seats tend to have more competitive cutoffs.

MSRIT vs Peer Colleges B.E in Artificial Intelligence and Machine Learning Cutoff

The B.E in Artificial Intelligence and Machine Learning cutoff comparison among peer colleges highlights the relative competitiveness of each institute. MSRIT has the lowest closing rank at 3721, making it the most competitive choice , followed by Jyothy Institute of Technology - JIT . Jyothy Institute of Technology - JIT has relatively higher closing ranks at 56566, indicating comparatively lower competition among the listed colleges.

Cutoff Comparison Insights

• MSRIT has the most competitive cutoff
• Competition comparison across colleges is limited
• Higher closing ranks indicate relatively lower competition
• All listed colleges remain competitive within their respective rank ranges

Lowest cutoff: MSRIT (Rank ~3721)
Highest cutoff: Jyothy Institute of Technology - JIT (Rank ~56566)
Jyothy Institute of Technology - JIT falls among the top competitive options

Which College is Best for B.E in Artificial Intelligence and Machine Learning Based on Cutoff?

Based on cutoff trends, MSRIT is the most preferred institute for B.E in Artificial Intelligence and Machine Learning , followed by Jyothy Institute of Technology - JIT . Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.

Other Courses at MSRIT Cutoff

MSRIT offers a range of B.E in Artificial Intelligence and Machine Learning, with cutoff ranks varying based on demand and seat availability. Bachelor of Architecture (B.Arch.) is the most competitive based on recent data, closing at 223 , followed by B.E. in Computer Science Engineering at 761. 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 MSRIT Based on Cutoff

• Bachelor of Architecture (B.Arch.) has the lowest cutoff → highest demand
• B.E. in Computer Science Engineering follows as the second most competitive
• B.E in CSE (Cyber Security) shows moderate competition
• Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.

Which Course Has the Lowest Cutoff at MSRIT?

Among all courses, Bachelor of Architecture (B.Arch.) consistently has the lowest cutoff at MSRIT, making it the most competitive branch. B.E. in Computer Science Engineering follows as another highly competitive option , while B.E in CSE (Cyber Security) shows moderate competition. Other courses typically have relatively higher cutoff ranks.

FAQs on MSRIT B.E in Artificial Intelligence and Machine Learning Cutoff