IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (2024, 2023, 2022) – JEE Main Opening & Closing Ranks
| Particulars | Details |
|---|---|
| Course Name | B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| College Name | IIIT Nagpur |
| Admission Through | National Testing Agency (NTA) Counselling (via JEE Main) |
| Latest Closing Rank (2024) | 28953 (General Category) |
| Previous Year Closing Rank (2023) | 32790 (General Category) |
| Cutoff Trend | Higher Competition (11.70%) |
| Total Seats | NA |
| Counselling Rounds | 9 Rounds |
| Official Cutoff Release Body | National Testing Agency (NTA) |
The IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category closed at 28953 rank, showing a significant increase in competition compared to 2023, where the closing rank was 32790. 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 IIIT Nagpur.
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 9 rounds of seat allocation.
Summary
- The closing rank for IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 28953 for General category.
- Compared to 2023 (32790 rank), the cutoff trend is increase in competition.
IIIT Nagpur 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 IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Data is shown for the latest available years: 2024, 2023, 2022
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (EWS Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 4446 | 4062 | 3526 |
| Round 2 | 4723 | 4534 | 3970 |
| Round 3 | 4723 | 4632 | 4084 |
| Round 4 | 4776 | 4632 | 4084 |
| Round 5 | 4984 | 4632 | 4084 |
| Round 6 | 39520 | 4898 | 4279 |
| Round 7 | 41126 | 39720 | 36127 |
| Round 8 | 41126 | 41999 | 37447 |
| Last Round | 41126 | 41999 | 37447 |
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (General Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 24592 | 21070 | 22510 |
| Round 2 | 24545 | 25642 | 24198 |
| Round 3 | 24545 | 26030 | 24491 |
| Round 4 | 24649 | 26030 | 24514 |
| Round 5 | 27105 | 26364 | 24784 |
| Round 6 | 27912 | 27645 | 25717 |
| Round 7 | 28953 | 31709 | 29136 |
| Round 8 | 28953 | 32790 | 29673 |
| Last Round | 28953 | 32790 | 29673 |
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (GeneralPwD Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 894 | 583 | 957 |
| Round 2 | 986 | 583 | 1242 |
| Round 3 | 986 | 583 | 1300 |
| Round 4 | 986 | 583 | 1300 |
| Round 5 | 986 | 583 | 1300 |
| Round 6 | 258086 | 583 | 1300 |
| Round 7 | 258086 | 289773 | 1300 |
| Last Round | 258086 | 289773 | 1300 |
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (OBC Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 9767 | 9120 | 8486 |
| Round 2 | 11261 | 10966 | 9515 |
| Round 3 | 11261 | 11044 | 9527 |
| Round 4 | 11261 | 11044 | 9527 |
| Round 5 | 11474 | 11227 | 9536 |
| Round 6 | 45511 | 11685 | 9918 |
| Round 7 | 45511 | 44948 | 38679 |
| Round 8 | 45511 | 48658 | 38991 |
| Last Round | 45511 | 48658 | 38991 |
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (SC Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 6113 | 4379 | 5535 |
| Round 2 | 6986 | 6207 | 6117 |
| Round 3 | 6986 | 6259 | 6117 |
| Round 4 | 6986 | 6378 | 6117 |
| Round 5 | 7396 | 6435 | 6117 |
| Round 6 | 163439 | 6797 | 6475 |
| Round 7 | 181150 | 164191 | 129894 |
| Round 8 | 181150 | 168126 | 135416 |
| Last Round | 181150 | 168126 | 135416 |
IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (ST Category)
| Round | 2024 | 2023 | 2022 |
|---|---|---|---|
| Round 1 | 2447 | 2055 | 2155 |
| Round 2 | 3381 | 3398 | 2746 |
| Round 3 | 3381 | 3398 | 2746 |
| Round 4 | 3381 | 3398 | 2746 |
| Round 5 | 3381 | 3398 | 2746 |
| Round 6 | 259267 | 3398 | 3029 |
| Round 7 | 259267 | 253403 | 225046 |
| Round 8 | 259267 | 253403 | 252096 |
| Last Round | 259267 | 253403 | 252096 |
The IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2024 for the General category ranged from an opening rank of 24592 in Round 1 to a closing rank of 28953 in the final round (Last Round). 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 IIIT Nagpur.
- The final closing rank for IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2024 was 28953 (Last Round).
- The opening rank remained 24592 across all rounds, indicating top preference demand.
- Cutoff ranks expanded gradually from Round 1 to Last Round during National Testing Agency (NTA) counselling.
IIIT Nagpur 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 | 28953 | ▲ 3837 rank | ▲ Higher Competition |
| 2023 | 32790 | ▼ 3117 rank | ▼ Lower Competition |
| 2022 | 29673 | - | Base Year |
The IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff has shown a consistent increase in competition over the past 3 years. The closing rank improved from 29673 in 2022 to 32790 in 2023, and further to 28953 in 2024. This indicates a rising demand for the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at IIIT Nagpur, with more high-ranking candidates opting for this course during National Testing Agency (NTA).
- The closing rank changed by 720 ranks from 2022 to 2024 (~2.43%).
- The biggest year-on-year jump was between 2023 and 2024 with a change of 3837 ranks.
- IIIT Nagpur 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)
The closing rank trend indicates rising demand for IIIT Nagpur 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.
IIIT Nagpur 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 | 28953 | - | Very High |
| EWS | 41126 | 12173 ranks | Lower |
| GeneralPwD | 258086 | 229133 ranks | Lower |
| OBC | 45511 | 16558 ranks | Lower |
| SC | 181150 | 152197 ranks | Lower |
| ST | 259267 | 230314 ranks | Lower |
The IIIT Nagpur 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 28953, while OBC candidates had a closing rank of 45511, showing a difference of 16558 ranks, For SC and ST categories, the closing ranks were 181150 and 259267 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 EWS at 12173 ranks.
- The largest cutoff gap vs General is for ST at 230314 ranks.
- General category typically remains the most competitive for IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission.
Impact of Reservation on IIIT Nagpur 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 IIIT Nagpur while maintaining merit-based selection through JEE Advanced.
Factors affecting IIIT Nagpur 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 32790 in 2023 to 28953 in 2024 |
| Round-wise Movement | Ranks usually expand across rounds | General category final closing rank in 2024 is 28953 |
| 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 IIIT Nagpur 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 IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
The seat matrix for IIIT Nagpur 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.
IIIT Nagpur vs Peer Colleges B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
| College | 2024 Closing Rank (General) | 2023 | 2022 |
|---|---|---|---|
| IIIT Nagpur | 28953 | 32790 | 29673 |
| North Maharashtra University | 90568 | 70841 | 99138 |
| CDLU | 217391 | 171476 | 134334 |
| Khwaja Moinuddin Chishti Language University | 356261 | - | 344180 |
| BBDNITM | 713854 | 297658 | 444396 |
| Bengal Institute of Technology | 898171 | 610438 | - |
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 IIIT Nagpur Cutoff
| Course | Latest Cutoff | Link |
|---|---|---|
| B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) (Current) | 28953 | View Details |
| B.Tech. Computer Science Engineering | 33407 | View Details |
| B.Tech. in Electronics and Communication Engineering (Internet of Things) | 47025 | View Details |
| B.E. in Electronics and Communication Engineering | 52830 | View Details |
IIIT Nagpur 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 in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is the most competitive based on recent data, closing at 28953 , followed by B.Tech. Computer Science Engineering at 33407. 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 IIIT Nagpur Based on Cutoff
- B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) has the lowest cutoff → highest demand
- B.Tech. Computer Science Engineering follows as the second most competitive
- B.Tech. in Electronics and Communication Engineering (Internet of Things) shows moderate competition
- Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.
Which Course Has the Lowest Cutoff at IIIT Nagpur?
Among all courses, B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) consistently has the lowest cutoff at IIIT Nagpur, making it the most competitive branch. B.Tech. Computer Science Engineering follows as another highly competitive option , while B.Tech. in Electronics and Communication Engineering (Internet of Things) shows moderate competition. Other courses typically have relatively higher cutoff ranks.
FAQs on IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
What is the IIIT Nagpur 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 28953 (2024).
Can I get IIIT Nagpur 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 IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff change every year?
Yes. Recent data ranges from around 28953 to 32790, varying by year, round, and seat movement.
What is the closing rank for IIIT Nagpur B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in counselling?
The latest closing rank in the available data is 28953 for General category.
Is IIIT Nagpur 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 IIIT Nagpur at rank 28953.
Which college has the lowest cutoff for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)?
Based on available peer data, IIIT Nagpur has the lowest recent closing rank.
What factors affect IIIT Nagpur 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.
