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IIIT Pune M.Tech in Computer Science and Engineering (Artificial Intelligence) Cutoff

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Estd. 2016

• Updated on 30 Jul, 2026 by Aafreen Zarief

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (2024, 2023, 2022) – GATE Opening & Closing Scores

Particulars Details
Course Name M.Tech in Computer Science & Engineering (Artificial Intelligence)
College Name IIIT Pune
Admission Through IITs and IISc Counselling (via GATE)
Latest Closing Score (2024) 492 (General Category)
Previous Year Closing Score (2023) 420 (General Category)
Cutoff Trend Lower Competition (17.14%)
Total Seats 36
Counselling Rounds 4 Rounds
Official Cutoff Release Body IITs and IISc

The IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff 2024 for the General category closed at 492 score, showing a significant decrease in competition compared to 2023, where the closing score was 420. The cutoff has consistently tightened over the past few years, indicating rising demand for M.Tech in Computer Science & Engineering (Artificial Intelligence) at IIIT Pune.

Admission to the M.Tech in Computer Science & Engineering (Artificial Intelligence) program is conducted through IITs and IISc Counselling (via GATE) based on GATE scores, with a total of 4 rounds of seat allocation.

Summary

  • The closing score for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) in 2024 was 492 for General category.
  • Compared to 2023 (420 score), the cutoff trend is decrease in compeetition.

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (Round-wise Latest Year Trends)

The following tables show round-wise closing cutoff scores category-wise for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence). Data is shown for the latest available years: 2024, 2023, 2022

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (EWS Category)

Round 2024 2023 2022
Round 1 556 521 429
Round 2 518 389 429
Round 3 - 389 429

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (General Category)

Round 2024 2023 2022
Round 1 566 528 508
Round 2 544 461 482
Round 3 - 420 477
Round 4 492 420 425

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (OBC Category)

Round 2024 2023 2022
Round 1 505 453 438
Round 2 458 333 438
Round 3 - 328 425
Round 4 423 328 368

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (SC Category)

Round 2024 2023 2022
Round 1 397 333 325
Round 2 390 329 325
Round 3 - 329 325
Round 4 284 284 262

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff (ST Category)

Round 2024 2023 2022
Round 1 316 247 275
Round 2 252 247 275
Round 3 252 247 275

The IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff 2024 for the General category ranged from an opening score of 566 in Round 1 to a closing score of 492 in the final round (Round 4). The cutoff decreased gradually across counselling rounds, reflecting seat allocation trends during IITs and IISc counselling. Candidates securing scores within this range were eligible for admission to the M.Tech in Computer Science & Engineering (Artificial Intelligence) program at IIIT Pune.

  • The final closing score for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) in 2024 was 492 (Round 4).
  • The opening score remained 566 across all rounds, indicating top preference demand.
  • Cutoff scores tightened gradually from Round 1 to Round 4 during IITs and IISc counselling.

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff Trends (2022-2024)

Year Closing Score Change vs Previous Year Trend
2024 492 ▼ 72 score ▼ Lower Competition
2023 420 ▲ 5 score ▲ Higher Competition
2022 425 - Base Year

The IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff has shown a decrease in competition over the past 3 years. The closing score dropped from 425 in 2022 to 420 in 2023, and further to 492 in 2024. This indicates a decreasing demand for the M.Tech in Computer Science & Engineering (Artificial Intelligence) program at IIIT Pune, with fewer high-ranking candidates opting for this course during IITs and IISc.

  • The closing score changed by 67 scores from 2022 to 2024 (~15.76%).
  • The biggest year-on-year jump was between 2023 and 2024 with a change of 72 scores.
  • IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) remains highly competitive during counselling rounds.

Cutoff Trend Graph (Closing Score vs Year)

2022 2023 2024 425 420 492

The closing score trend indicates decreasing demand for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence). As closing scores move lower (better score), it reflects higher demand for the program during counselling.

IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Category-wise Cutoff Analysis 2024

Category Closing Score (2024) Difference vs General Competition Level
General 492 - Very High
EWS 518 26 scores High
OBC 423 69 scores High
SC 284 208 scores High
ST 252 240 scores High

The IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff 2024 varies significantly across categories due to reservation policies. The closing score for the General category was 492, while OBC candidates had a closing score of 423, showing a difference of 69 scores, For SC and ST categories, the closing scores were 284 and 252 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 26 scores.
  • The largest cutoff gap vs General is for ST at 240 scores.
  • General category typically remains the most competitive for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) admission.

Impact of Reservation on IIIT Pune Cutoff

The variation in cutoff scores 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 scores for reserved categories compared to the General category. This ensures equitable access to premier institutions like IIIT Pune while maintaining merit-based selection through JEE Advanced.

Factors affecting IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff

Factor Impact Insight
Year-wise Trend Lower score = higher competition Closing score moved from 420 in 2023 to 492 in 2024
Round-wise Movement Scores usually expand across rounds General category final closing score in 2024 is 492
Category Variation Different cutoffs per category Reserved categories generally have higher closing scores than General
Course Demand Indicator Consistently lower closing score suggests stronger demand Recent trend data indicates continued demand concentration

Year-wise Trend Impact

A consistent improvement in closing score over the years suggests increasing competition for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence), as more high-ranking candidates prefer this course.

Round-wise Cutoff Movement

Cutoff scores typically expand from the first round to the final round during IITs and IISc counselling, as seats are reallocated based on candidate preferences and withdrawals.

Category-wise Variation

Cutoff scores differ across categories, with General category usually having the lowest closing score, indicating higher competition compared to reserved categories.

Seat Matrix for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence)

The IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) seat matrix shows that a total of 36 seats are available for the program, distributed across multiple categories. This distribution plays a crucial role in determining cutoff scores, as categories with fewer seats tend to have more competitive cutoffs.

IIIT Pune vs Peer Colleges M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff

College 2024 Closing Score (General) 2023 2022
IIIT Pune 492 420 425
IIIT Vadodara - 427 451

The M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff comparison among peer colleges highlights the relative competitiveness of each institute. IIIT Pune has the lowest closing score at 492, making it the most competitive choice .

Cutoff Comparison Insights

  • IIIT Pune has the most competitive cutoff
  • Competition comparison across colleges is limited
  • Higher closing scores indicate relatively lower competition
  • All listed colleges remain competitive within their respective score ranges

Lowest cutoff: IIIT Pune (Score ~492)
Highest cutoff: IIIT Pune (Score ~492)

Which College is Best for M.Tech in Computer Science & Engineering (Artificial Intelligence) Based on Cutoff?

Based on cutoff trends, IIIT Pune is the most preferred institute for M.Tech in Computer Science & Engineering (Artificial Intelligence) . Lower closing scores indicate higher demand and stronger competition among top-ranking candidates.

Other Courses at IIIT Pune Cutoff

Course Latest Cutoff Link
M.Tech in Computer Science & Engineering (Artificial Intelligence) (Current) 492 View Details
B.Tech. Computer Science Engineering 24690 View Details

IIIT Pune offers a range of M.Tech in Computer Science & Engineering (Artificial Intelligence), with cutoff scores varying based on demand and seat availability. M.Tech in Computer Science & Engineering (Artificial Intelligence) is the most competitive based on recent data, closing at 492 , followed by B.Tech. Computer Science Engineering at 24690. 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 Pune Based on Cutoff

  • M.Tech in Computer Science & Engineering (Artificial Intelligence) has the lowest cutoff → highest demand
  • B.Tech. Computer Science Engineering follows as the second most competitive
  • Additional course comparison limited
  • Core and less preferred branches generally have relatively higher cutoff scores, indicating lower competition.

Which Course Has the Lowest Cutoff at IIIT Pune?

Among all courses, M.Tech in Computer Science & Engineering (Artificial Intelligence) consistently has the lowest cutoff at IIIT Pune, making it the most competitive branch. B.Tech. Computer Science Engineering follows as another highly competitive option . Other courses typically have relatively higher cutoff scores.

FAQs on IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) Cutoff

What is the IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff for General category?

The latest available closing score for General category is 492 (2024).

Can I get IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) with score 200?

Based on recent cutoff trends, this is possible for the General category.

Does IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff change every year?

Yes. Recent data ranges from around 420 to 492, varying by year, round, and seat movement.

What is the closing score for IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) in counselling?

The latest closing score in the available data is 492 for General category.

Is IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) better than other colleges based on cutoff?

Cutoff score is one indicator of demand. In the latest year, the lowest peer cutoff is IIIT Pune at score 492.

Which college has the lowest cutoff for M.Tech in Computer Science & Engineering (Artificial Intelligence)?

Based on available peer data, IIIT Pune has the lowest recent closing score.

What factors affect IIIT Pune M.Tech in Computer Science & Engineering (Artificial Intelligence) cutoff?

Major factors include exam difficulty, number of applicants, seat matrix, category allocation, and counselling round movements.