Coorg Institute of Technology B.Tech in Artificial Intelligence and Data Science Cutoff

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (2024, 2023, 2022) – COMEDK UGET Opening & Closing Ranks

The CIT B.Tech. in Artificial Intelligence and Data Science cutoff 2024 for the General category closed at 96402 rank, showing a significant decrease in competition compared to 2023, where the closing rank was 76903. The cutoff has consistently tightened over the past few years, indicating rising demand for B.Tech. in Artificial Intelligence and Data Science at CIT.

Admission to the B.Tech. in Artificial Intelligence and Data Science 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 CIT B.Tech. in Artificial Intelligence and Data Science in 2024 was 96402 for General category.
• Compared to 2023 (76903 rank), the cutoff trend is decrease in compeetition.

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (Round-wise Latest Year Trends)

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

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (EWS Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (General Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (GeneralPwD Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (HK Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (OBC Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (SC Category)

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff (ST Category)

The CIT B.Tech. in Artificial Intelligence and Data Science cutoff 2024 for the General category closed at 96402. The cutoff remained same across counselling rounds, reflecting seat allocation trends during COMEDK counselling. Candidates securing ranks within this range were eligible for admission to the B.Tech. in Artificial Intelligence and Data Science program at CIT.

• The final closing rank for CIT B.Tech. in Artificial Intelligence and Data Science in 2024 was 96402 (Last Round).
• The opening rank remained 96402 across all rounds, indicating top preference demand.
• Cutoff ranks remained same from Round 1 to Last Round during COMEDK counselling.

CIT B.Tech. in Artificial Intelligence and Data Science Cutoff Trends (2022-2024)

The CIT B.Tech. in Artificial Intelligence and Data Science cutoff has shown a decrease in competition over the past 3 years. The closing rank dropped from 48069 in 2022 to 76903 in 2023, and further to 96402 in 2024. This indicates a decreasing demand for the B.Tech. in Artificial Intelligence and Data Science program at CIT, with fewer high-ranking candidates opting for this course during COMEDK.

• The closing rank changed by 48333 ranks from 2022 to 2024 (~100.55%).
• The biggest year-on-year jump was between 2022 and 2023 with a change of 28834 ranks.
• CIT B.Tech. in Artificial Intelligence and Data Science remains highly competitive during counselling rounds.

Cutoff Trend Graph (Closing Rank vs Year)

CIT B.Tech. in Artificial Intelligence and Data Science Category-wise Cutoff Analysis 2024

The CIT B.Tech. in Artificial Intelligence and Data Science cutoff 2024 varies significantly across categories due to reservation policies. The closing rank for the General category was 96402, For SC and ST categories, the closing ranks were 189143 and 168673 respectively, indicating comparatively lower competition. 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 72271 ranks.
• The largest cutoff gap vs General is for SC at 92741 ranks.
• General category typically remains the most competitive for CIT B.Tech. in Artificial Intelligence and Data Science admission.

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

Factors affecting CIT B.Tech. in Artificial Intelligence and Data Science cutoff

Year-wise Trend Impact

A consistent improvement in closing rank over the years suggests increasing competition for CIT B.Tech. in Artificial Intelligence and Data Science, 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 CIT B.Tech. in Artificial Intelligence and Data Science

The CIT B.Tech. in Artificial Intelligence and Data Science seat matrix shows that a total of 60 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.

CIT vs Peer Colleges B.Tech. in Artificial Intelligence and Data Science Cutoff

The B.Tech. in Artificial Intelligence and Data Science cutoff comparison among peer colleges highlights the relative competitiveness of each institute. K.S. School of Engineering and Management has the lowest closing rank at 69921, making it the most competitive choice , followed by Don Bosco Group Of Institutions and Don Bosco Institute of Technology. CIT has relatively higher closing ranks at 96402, indicating comparatively lower competition among the listed colleges.

Cutoff Comparison Insights

• K.S. School of Engineering and Management has the most competitive cutoff
• Don Bosco Group Of Institutions and Don Bosco 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: K.S. School of Engineering and Management (Rank ~69921)
Highest cutoff: CIT (Rank ~96402)
Don Bosco Group Of Institutions falls among the top competitive options

Which College is Best for B.Tech. in Artificial Intelligence and Data Science Based on Cutoff?

Based on cutoff trends, K.S. School of Engineering and Management is the most preferred institute for B.Tech. in Artificial Intelligence and Data Science , followed by Don Bosco Group Of Institutions and Don Bosco Institute of Technology. Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.

Other Courses at CIT Cutoff

CIT offers a range of B.Tech. in Artificial Intelligence and Data Science, with cutoff ranks varying based on demand and seat availability. B.E. in Electronics and Communication Engineering is the most competitive based on recent data, closing at 51953 , followed by B.Tech. in Artificial Intelligence and Machine Learning at 95657. 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 CIT Based on Cutoff

• B.E. in Electronics and Communication Engineering has the lowest cutoff → highest demand
• B.Tech. in Artificial Intelligence and Machine Learning follows as the second most competitive
• B.Tech. in Artificial Intelligence and Data Science shows moderate competition
• Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.

Which Course Has the Lowest Cutoff at CIT?

Among all courses, B.E. in Electronics and Communication Engineering consistently has the lowest cutoff at CIT, making it the most competitive branch. B.Tech. in Artificial Intelligence and Machine Learning follows as another highly competitive option , while B.Tech. in Artificial Intelligence and Data Science shows moderate competition. Other courses typically have relatively higher cutoff ranks.

FAQs on CIT B.Tech. in Artificial Intelligence and Data Science Cutoff