Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (2025, 2024, 2023) – WBJEE Opening & Closing Ranks
| Particulars | Details |
|---|---|
| Course Name | B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| College Name | Heritage Institute of Technology |
| Admission Through | West Bengal Joint Entrance Examinations Board Counselling (via WBJEE) |
| Latest Closing Rank (2025) | 6721 (General Category) |
| Previous Year Closing Rank (2024) | 4632 (General Category) |
| Cutoff Trend | Lower Competition (45.10%) |
| Total Seats | 60 |
| Counselling Rounds | 3 Rounds |
| Official Cutoff Release Body | West Bengal Joint Entrance Examinations Board |
The Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2025 for the General category closed at 6721 rank, showing a significant decrease in competition compared to 2024, where the closing rank was 4632. 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 Heritage Institute of Technology.
Admission to the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program is conducted through West Bengal Joint Entrance Examinations Board Counselling (via WBJEE) based on WBJEE ranks, with a total of 3 rounds of seat allocation.
Summary
- The closing rank for Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2025 was 6721 for General category.
- Compared to 2024 (4632 rank), the cutoff trend is decrease in compeetition.
Heritage Institute of Technology 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 Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Data is shown for the latest available years: 2025, 2024
Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (EWS Category)
| Round | 2025 | 2024 |
|---|---|---|
| Round 1 | 12653 | 11996 |
| Round 2 | 19175 | 29331 |
| Round 3 | - | 29337 |
Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (General Category)
| Round | 2025 | 2024 | 2023 |
|---|---|---|---|
| Round 1 | 68380 | 47333 | 42934 |
| Round 2 | 6721 | 5375 | 5241 |
| Round 3 | - | 4632 | 6218 |
Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (SC Category)
| Round | 2025 | 2024 | 2023 |
|---|---|---|---|
| Round 1 | 12219 | 9913 | 7531 |
| Round 2 | - | 11399 | 8699 |
Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (ST Category)
| Round | 2025 | 2024 | 2023 |
|---|---|---|---|
| Round 1 | 50171 | 34974 | 34358 |
| Round 2 | 53304 | 41423 | - |
Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff (TFW Category)
| Round | 2025 | 2024 | 2023 |
|---|---|---|---|
| Round 1 | 4457 | 3816 | 4180 |
| Round 2 | - | 4152 | 4262 |
| Round 3 | - | 5162 | 6563 |
The Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff 2025 for the General category ranged from an opening rank of 68380 in Round 1 to a closing rank of 6721 in the final round (Round 2). The cutoff decreased gradually across counselling rounds, reflecting seat allocation trends during West Bengal Joint Entrance Examinations Board 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 Heritage Institute of Technology.
- The final closing rank for Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in 2025 was 6721 (Round 2).
- The opening rank remained 68380 across all rounds, indicating top preference demand.
- Cutoff ranks tightened gradually from Round 1 to Round 2 during West Bengal Joint Entrance Examinations Board counselling.
Heritage Institute of Technology 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 | 6721 | ▼ 2089 rank | ▼ Lower Competition |
| 2024 | 4632 | ▲ 1586 rank | ▲ Higher Competition |
| 2023 | 6218 | - | Base Year |
The Heritage Institute of Technology 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 6218 in 2023 to 4632 in 2024, and further to 6721 in 2025. This indicates a decreasing demand for the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program at Heritage Institute of Technology, with fewer high-ranking candidates opting for this course during West Bengal Joint Entrance Examinations Board.
- The closing rank changed by 503 ranks from 2023 to 2025 (~8.09%).
- The biggest year-on-year jump was between 2024 and 2025 with a change of 2089 ranks.
- Heritage Institute of Technology 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 Heritage Institute of Technology 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.
Heritage Institute of Technology 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 | 6721 | - | Very High |
| EWS | 19175 | 12454 ranks | Lower |
| SC | 12219 | 5498 ranks | Lower |
| ST | 53304 | 46583 ranks | Lower |
| TFW | 4457 | 2264 ranks | High |
The Heritage Institute of Technology 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 6721, For SC and ST categories, the closing ranks were 12219 and 53304 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 TFW at 2264 ranks.
- The largest cutoff gap vs General is for ST at 46583 ranks.
- General category typically remains the most competitive for Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission.
Impact of Reservation on Heritage Institute of Technology 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 Heritage Institute of Technology while maintaining merit-based selection through JEE Advanced.
Factors affecting Heritage Institute of Technology 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 4632 in 2024 to 6721 in 2025 |
| Round-wise Movement | Ranks usually expand across rounds | General category final closing rank in 2025 is 6721 |
| 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 Heritage Institute of Technology 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 West Bengal Joint Entrance Examinations Board 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 Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
The Heritage Institute of Technology 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.
Heritage Institute of Technology vs Peer Colleges B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
| College | 2025 Closing Rank (General) | 2024 | 2023 |
|---|---|---|---|
| Heritage Institute of Technology | 6721 | 4632 | 6218 |
| GKCIET | 12047 | 9572 | 16096 |
| Techno Main Salt Lake | 14988 | 11790 | 13392 |
| Haldia Institute of Technology | 16460 | 8253 | 4099 |
| Siliguri Institute of Technology | 26671 | 105580 | 63107 |
| Elitte Institute of Engineering and Management | 50820 | 101431 | - |
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. Heritage Institute of Technology has the lowest closing rank at 6721, making it the most competitive choice , followed by GKCIET and Techno Main Salt Lake. Elitte Institute of Engineering and Management has relatively higher closing ranks at 50820, indicating comparatively lower competition among the listed colleges.
Cutoff Comparison Insights
- Heritage Institute of Technology has the most competitive cutoff
- GKCIET and Techno Main Salt Lake show similar competition levels
- Higher closing ranks indicate relatively lower competition
- All listed colleges remain competitive within their respective rank ranges
Lowest cutoff: Heritage Institute of Technology (Rank ~6721)
Highest cutoff: Elitte Institute of Engineering and Management (Rank ~50820)
GKCIET 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, Heritage Institute of Technology is the most preferred institute for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) , followed by GKCIET and Techno Main Salt Lake. Lower closing ranks indicate higher demand and stronger competition among top-ranking candidates.
Other Courses at Heritage Institute of Technology Cutoff
| Course | Latest Cutoff | Link |
|---|---|---|
| B.Tech. Computer Science Engineering | 5906 | View Details |
| B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) (Current) | 6721 | View Details |
| BTech IT | 8543 | View Details |
| B.Tech. in Computer Science & Engineering (Data Science) | 9170 | View Details |
| B.E. in Computer Science and Engineering (Internet of Things and Cyber Security Including Block Chain Techno) | 11759 | - |
| B.tech in Computer Science and Business System | 15047 | View Details |
| B.Tech in Electronics and Communications Engineering | 15730 | View Details |
| B.Tech in Electrical Engineering | 23064 | View Details |
| B.Tech. in Biotechnology | 31353 | View Details |
| B.Tech. in Applied Electronics and Instrumentaion Engineering | 34832 | - |
Heritage Institute of Technology 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. Computer Science Engineering is the most competitive based on recent data, closing at 5906 , followed by B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at 6721. 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 Heritage Institute of Technology Based on Cutoff
- B.Tech. Computer Science Engineering has the lowest cutoff → highest demand
- B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) follows as the second most competitive
- BTech IT shows moderate competition
- Core and less preferred branches generally have relatively higher cutoff ranks, indicating lower competition.
Which Course Has the Lowest Cutoff at Heritage Institute of Technology?
Among all courses, B.Tech. Computer Science Engineering consistently has the lowest cutoff at Heritage Institute of Technology, making it the most competitive branch. B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) follows as another highly competitive option , while BTech IT shows moderate competition. Other courses typically have relatively higher cutoff ranks.
FAQs on Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Cutoff
What is the Heritage Institute of Technology 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 6721 (2025).
Can I get Heritage Institute of Technology 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 Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) cutoff change every year?
Yes. Recent data ranges from around 4632 to 6721, varying by year, round, and seat movement.
What is the closing rank for Heritage Institute of Technology B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in counselling?
The latest closing rank in the available data is 6721 for General category.
Is Heritage Institute of Technology 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 Heritage Institute of Technology at rank 6721.
Which college has the lowest cutoff for B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)?
Based on available peer data, Heritage Institute of Technology has the lowest recent closing rank.
What factors affect Heritage Institute of Technology 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.