RNS Institute of Technology, Bangalore Computer Science & Engineering (Artificial Intelligence & Machine Learning) Cutoff 2025 – Rank 49,407 | Uninode COMEDK

The COMEDK cutoff for Computer Science & Engineering (Artificial Intelligence & Machine Learning) at RNS Institute of Technology, Bangalore was 49,407 in 2025 (Round 1). Eased from 33,631 in 2024. Compare all rounds & years.

AI Advanced Analytics

Historical Trend

Over the last 3 years, the competition for this seat is relaxing cutoffs.

State Rank

Compared to all other colleges offering this branch, this seat is moderately competitive.

Expected Cutoff

Based on past data, our confidence interval projects a safe target rank between 30,819 and 45,236.

Category Advantage

The kkr quota provides a 5% rank safety buffer over General Merit.

Frequently Asked Questions

What rank do I need for Computer Science & Engineering (Artificial Intelligence & Machine Learning) at RNS Institute of Technology, Bangalore?

Based on 2025 data, you need a rank of 49,407 or better in Round 1. The final Round 1 cutoff was 49,407, meaning students with ranks up to 49,407 were admitted by the end of counseling.

Is Computer Science & Engineering (Artificial Intelligence & Machine Learning) at RNS Institute of Technology, Bangalore getting easier or harder to get into?

Easier. Cutoffs relaxed from 33,631 in 2024 to 49,407 in 2025, a drop of 15,776 positions.

Can I get admission for Computer Science & Engineering (Artificial Intelligence & Machine Learning) at RNS Institute of Technology, Bangalore if my rank is slightly above the cutoff?

KCET cutoffs vary annually based on candidate preferences and seat matrix. If your rank is close to 49,407, you should definitely include RNS Institute of Technology, Bangalore in your option entry list during counseling.

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