GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (2025, 2024, 2023) – JEE Main Opening & Closing Ranks
| Particulars | Details |
|---|---|
| Course Name | B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| College Name | GKCIET |
| Admission Through | National Testing Agency (NTA) Counselling (via JEE Main) |
| Latest Closing Rank (2025) | 58331 (General Category) |
| Previous Year Closing Rank (2024) | 9572 (General Category) |
| Cutoff Trend | Lower Competition (509.39%) |
| Total Seats | 60 |
| Counselling Rounds | 5 Rounds |
| Official Cutoff Release Body | National Testing Agency (NTA) |
The GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2025 for the General category closed at 58331 rank, showing a significant decrease in competition compared to 2024, where the closing rank was 9572. 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 GKCIET.
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 5 rounds of seat allocation.
Summary
- The closing rank for GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2025 was 58331 for General category.
- Compared to 2024 (9572 rank), the cutoff trend is decrease in compeetition.
GKCIET 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 GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Data is shown for the latest available years: 2025
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (EWS Category)
| Round | 2025 |
|---|---|
| Round 1 | 19358 |
| Round 2 | 7495 |
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (General Category)
| Round | 2025 |
|---|---|
| Round 1 | 110055 |
| Round 2 | 50811 |
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (OBCNCL Category)
| Round | 2025 |
|---|---|
| Round 1 | 66750 |
| Round 2 | 19643 |
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (SC Category)
| Round | 2025 |
|---|---|
| Round 1 | 15221 |
| Round 2 | 9496 |
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (ST Category)
| Round | 2025 |
|---|---|
| Round 1 | 6072 |
| Round 2 | 4320 |
The GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2025 for the General category ranged from an opening rank of 110055 in Round 1 to a closing rank of 50811 in the final round (Round 2). The cutoff decreased 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 GKCIET.
- The final closing rank for GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2025 was 50811 (Round 2).
- The opening rank remained 110055 across all rounds, indicating top preference demand.
- Cutoff ranks tightened gradually from Round 1 to Round 2 during National Testing Agency (NTA) counselling.
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff Trends (2023-2025)
| Year | Closing Rank | Change vs Previous Year | Trend |
|---|---|---|---|
| 2025 | 58331 | ▼ 48759 rank | ▼ Lower Competition |
| 2024 | 9572 | ▲ 6524 rank | ▲ Higher Competition |
| 2023 | 16096 | - | Base Year |
The GKCIET 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 16096 in 2023 to 9572 in 2024, and further to 58331 in 2025. This indicates a decreasing demand for the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at GKCIET, with fewer high-ranking candidates opting for this course during National Testing Agency (NTA).
- The closing rank changed by 42235 ranks from 2023 to 2025 (~262.39%).
- The biggest year-on-year jump was between 2024 and 2025 with a change of 48759 ranks.
- GKCIET 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 decreasing demand for GKCIET 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.
GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Category-wise Cutoff Analysis 2025
| Category | Closing Rank (2025) | Difference vs General | Competition Level |
| General | 58331 | - | Very High |
| EWS | 8539 | 49792 ranks | High |
| OBC A | 23266 | 35065 ranks | High |
| OBC B | 15808 | 42523 ranks | High |
| OBCNCL | 19946 | 38385 ranks | High |
| SC | 9685 | 48646 ranks | High |
| ST | 4320 | 54011 ranks | High |
| TFW | 11325 | 47006 ranks | High |
The GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2025 varies significantly across categories due to reservation policies. The closing rank for the General category was 58331, while OBC A candidates had a closing rank of 23266, showing a difference of 35065 ranks, For SC and ST categories, the closing ranks were 9685 and 4320 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 OBC A at 35065 ranks.
- The largest cutoff gap vs General is for ST at 54011 ranks.
- General category typically remains the most competitive for GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission.
Impact of Reservation on GKCIET 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 GKCIET while maintaining merit-based selection through JEE Advanced.
Factors affecting GKCIET 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 9572 in 2024 to 58331 in 2025 |
| Round-wise Movement | Ranks usually expand across rounds | General category final closing rank in 2025 is 58331 |
| 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 GKCIET 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 GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
The GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 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.
GKCIET vs Peer Colleges B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
| College | 2025 Closing Rank (General) | 2024 | 2023 |
|---|---|---|---|
| GKCIET | 50811 | - | - |
| IIIT Trichy | 23249 | - | - |
| IIIT Surat | 24479 | - | - |
| IIIT Nagpur (IIITN) | 26133 | - | - |
| BBDNITM | - | 713854 | 297658 |
| IIIT Nagpur | - | 28953 | 32790 |
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 Trichy has the lowest closing rank at 23249, making it the most competitive choice , followed by IIIT Surat and IIIT Nagpur (IIITN). GKCIET has relatively higher closing ranks at 50811, indicating comparatively lower competition among the listed colleges.
Cutoff Comparison Insights
- IIIT Trichy has the most competitive cutoff
- IIIT Surat and IIIT Nagpur (IIITN) show similar competition levels
- Higher closing ranks indicate relatively lower competition
- All listed colleges remain competitive within their respective rank ranges
Lowest cutoff: IIIT Trichy (Rank ~23249)
Highest cutoff: GKCIET (Rank ~50811)
IIIT Surat 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 Trichy is the most preferred institute for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) , followed by IIIT Surat and IIIT Nagpur (IIITN). Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.
Other Courses at GKCIET Cutoff
| Course | Latest Cutoff | Link |
|---|---|---|
| BTech ME | 23845 | View Details |
| BTech in Food Technology | 28839 | View Details |
| B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) (Current) | 58331 | View Details |
| B.Tech in Electrical Engineering | 74885 | View Details |
| B.Tech. in Civil Engineering (Environmental Engineering) | 96129 | View Details |
GKCIET 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. BTech ME is the most competitive based on recent data, closing at 23845 , followed by BTech in Food Technology at 28839. 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 GKCIET Based on Cutoff
- BTech ME has the lowest cutoff → highest demand
- BTech in Food Technology 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 GKCIET?
Among all courses, BTech ME consistently has the lowest cutoff at GKCIET, making it the most competitive branch. BTech in Food Technology 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 GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
What is the GKCIET 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 58331 (2025).
Can I get GKCIET 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 GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff change every year?
Yes. Recent data ranges from around 9572 to 58331, varying by year, round, and seat movement.
What is the closing rank for GKCIET B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in counselling?
The latest closing rank in the available data is 58331 for General category.
Is GKCIET 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 Trichy at rank 23249.
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 Trichy has the lowest recent closing rank.
What factors affect GKCIET 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.