Babu Banarasi Das National Institute of Technology and Management B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff

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

The BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category closed at 713854 rank, showing a significant decrease in competition compared to 2023, where the closing rank was 297658. 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 BBDNITM.

Admission to the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program is conducted through National Testing Agency (NTA) Counselling (via JEE Main) based on JEE Main ranks, with a total of 4 rounds of seat allocation.

Summary

• The closing rank for BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 713854 for General category.
• Compared to 2023 (297658 rank), the cutoff trend is decrease in compeetition.

BBDNITM 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 BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Data is shown for the latest available years: 2024, 2023, 2022

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

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

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

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

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

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

The BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category ranged from an opening rank of 928366 in Round 1 to a closing rank of 931047 in the final round (Round 4). The cutoff increased gradually across counselling rounds, reflecting seat allocation trends during National Testing Agency (NTA) 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 BBDNITM.

• The final closing rank for BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 931047 (Round 4).
• The opening rank remained 928366 across all rounds, indicating top preference demand.
• Cutoff ranks expanded gradually from Round 1 to Round 4 during National Testing Agency (NTA) counselling.

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

The BBDNITM 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 444396 in 2022 to 297658 in 2023, and further to 713854 in 2024. This indicates a decreasing demand for the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at BBDNITM, with fewer high-ranking candidates opting for this course during National Testing Agency (NTA).

• The closing rank changed by 269458 ranks from 2022 to 2024 (~60.63%).
• The biggest year-on-year jump was between 2023 and 2024 with a change of 416196 ranks.
• BBDNITM 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)

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

The BBDNITM 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 713854, while OBC candidates had a closing rank of 1300701, showing a difference of 586847 ranks. This variation is primarily driven by category-wise seat allocation and demand differences during counselling.

• The smallest cutoff gap vs General is for ST at 247891 ranks.
• The largest cutoff gap vs General is for EWS at 645282 ranks.
• General category typically remains the most competitive for BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission.

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

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

Year-wise Trend Impact

A consistent improvement in closing rank over the years suggests increasing competition for BBDNITM 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 National Testing Agency (NTA) 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 BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)

The BBDNITM B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) seat matrix shows that a total of 180 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.

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

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. IIIT Nagpur has the lowest closing rank at 28953, making it the most competitive choice , followed by North Maharashtra University and CDLU. Bengal Institute of Technology has relatively higher closing ranks at 898171, indicating comparatively lower competition among the listed colleges.

Cutoff Comparison Insights

• IIIT Nagpur has the most competitive cutoff
• North Maharashtra University and CDLU show similar competition levels
• Higher closing ranks indicate relatively lower competition
• All listed colleges remain competitive within their respective rank ranges

Lowest cutoff: IIIT Nagpur (Rank ~28953)
Highest cutoff: Bengal Institute of Technology (Rank ~898171)
North Maharashtra University 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, IIIT Nagpur is the most preferred institute for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) , followed by North Maharashtra University and CDLU. Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.

Other Courses at BBDNITM Cutoff

BBDNITM 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. Master of Business Administration (MBA) is the most competitive based on recent data, closing at 10004 , followed by B.Tech. Computer Science Engineering at 390282. 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 BBDNITM Based on Cutoff

• Master of Business Administration (MBA) has the lowest cutoff → highest demand
• B.Tech. Computer Science Engineering follows as the second most competitive
• B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) shows moderate competition
• Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.

Which Course Has the Lowest Cutoff at BBDNITM?

Among all courses, Master of Business Administration (MBA) consistently has the lowest cutoff at BBDNITM, making it the most competitive branch. B.Tech. Computer Science Engineering follows as another highly competitive option , while B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) shows moderate competition. Other courses typically have relatively higher cutoff ranks.

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