SSIPMT JEE Main 2025 Cutoff : Check Category-wise and Round-wise Cutoff

Raipur, ChhattisgarhEstd 2008 CSVTU, Bhilai NAAC Grade A+ 3.3

SSIPMT JEE MAIN Cutoff 2026

2025
General

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Collegedunia Team

Content Curator | Updated 3+ months ago

SSIPMT offers admission in B.Tech courses through JEE-Main. From JEE-Main 2025 cutoff, Students can get a brief idea of how much cutoff is required to get admission in SSIPMT.

SSIPMT JEE-Main Cutoff 2025 Category Wise (Home State)

Category Round 1 (Closing rank) Round 2 (Closing rank)
General 6337 3487
SC 5082 2707
ST 4662 2613

Table of Content

  1. SSIPMT JEE-Main Cutoff 2025 for General Category (Home State)
  2. SSIPMT JEE-Main Cutoff 2025 for SC Category (Home State)
  3. SSIPMT JEE-Main Cutoff 2025 for ST Category (Home State)
  4. SSIPMT JEE-Main Cutoff Year-Wise Trend for General Category (Home State)
  5. SSIPMT JEE-Main Cutoff Year-Wise Trend for SC Category (Home State)
  6. SSIPMT JEE-Main Cutoff Year-Wise Trend for ST Category (Home State)
  7. SSIPMT JEE-Main Cutoff Year-Wise Trend for OBCNCL Category (Home State)

SSIPMT JEE-Main Cutoff 2025 for General Category (Home State)

The overall cutoff rank for General Category Students and HS Quota for JEE-Main ranges between 1006 - 6337. B.Tech Artificial Intelligence and Machine Learning was the most preferred course for General candidates (HS) in 2025 with the lowest rank of 1991 , followed by B.Tech Computer Science Engineering with a cutoff of 3494.

SSIPMT, JEE-Main Cutoff 2025 for General Category and Home State quota is listed below.

Courses Round 1 (Closing rank) Round 2 (Closing rank)
B.Tech Artificial Intelligence and Machine Learning 1991 1006
B.Tech Computer Science Engineering 3494 2009
B.Tech Data Science 4403 2203
B.Tech Information Technology 4842 2729
B.Tech Electronics & Telecommunication Engineering 4942 3262
B.Tech Artificial Intelligence 5092 1415
B.Tech Mechanical Engineering 6288 3230
B.Tech Civil Engineering 6337 3487

SSIPMT JEE-Main Cutoff 2025 for SC Category (Home State)

The overall cutoff rank for SC Category Students and HS Quota for JEE-Main ranges between 2153 - 5082. B.Tech Computer Science Engineering was the most preferred course for SC candidates (HS) in 2025 with the lowest rank of 4384 , followed by B.Tech Artificial Intelligence and Machine Learning with a cutoff of 4911. (SC stands for Scheduled Caste)

SSIPMT, JEE-Main Cutoff 2025 for SC Category and Home State quota is listed below.

Courses Round 1 (Closing rank) Round 2 (Closing rank)
B.Tech Computer Science Engineering 4384 2707
B.Tech Artificial Intelligence and Machine Learning 4911 2153
B.Tech Artificial Intelligence 5082 -

SSIPMT JEE-Main Cutoff 2025 for ST Category (Home State)

The overall cutoff rank for ST Category Students and HS Quota for JEE-Main ranges between 2216 - 4662. B.Tech Computer Science Engineering was the most preferred course for ST candidates (HS) in 2025 with the lowest rank of 2613 , followed by B.Tech Data Science with a cutoff of 2216. (ST stands for Scheduled Tribes)

SSIPMT, JEE-Main Cutoff 2025 for ST Category and Home State quota is listed below.

Courses Round 1 (Closing rank) Round 2 (Closing rank)
B.Tech Computer Science Engineering - 2613
B.Tech Data Science - 2216
B.Tech Artificial Intelligence 4469 -
B.Tech Artificial Intelligence and Machine Learning 4662 2563

SSIPMT JEE-Main Cutoff Year-Wise Trend for General Category (Home State)

B.Tech Artificial Intelligence and Machine Learning is consistently the top choice for General category students (HS) with a cutoff of 1991 in 2025, .

Courses 2025 2023
B.Tech Artificial Intelligence and Machine Learning 1991 -
B.Tech Computer Science Engineering 3494 -
B.Tech Data Science 4403 -
B.Tech Information Technology 4842 -
B.Tech Electronics & Telecommunication Engineering 4942 4698
B.Tech Artificial Intelligence 5092 -
B.Tech Mechanical Engineering 6288 4859
B.Tech Civil Engineering 6337 -

SSIPMT JEE-Main Cutoff Year-Wise Trend for SC Category (Home State)

B.Tech Computer Science Engineering is consistently the top choice for SC category students (HS) with a cutoff of 4384 in 2025, 4536 in 2023, . There is an decrease in cutoff rank for B.Tech Computer Science Engineering in 2025 as compared to 2023.

Courses 2025 2023
B.Tech Computer Science Engineering 4384 4536
B.Tech Artificial Intelligence and Machine Learning 4911 -
B.Tech Artificial Intelligence 5082 4557

SSIPMT JEE-Main Cutoff Year-Wise Trend for ST Category (Home State)

B.Tech Data Science is consistently the top choice for ST category students (HS) with a cutoff of 2216 in 2025, .

Courses 2025 2023
B.Tech Data Science 2216 -
B.Tech Computer Science Engineering 2613 -
B.Tech Artificial Intelligence 4469 -
B.Tech Artificial Intelligence and Machine Learning 4662 -
B.Tech Information Technology - 4764

SSIPMT JEE-Main Cutoff Year-Wise Trend for OBCNCL Category (Home State)

B.Tech Electronics & Telecommunication Engineering is consistently the top choice for OBCNCL category students (HS) with a cutoff of 4825 in 2023, .

Courses 2025 2023
B.Tech Electronics & Telecommunication Engineering - 4825
B.Tech Civil Engineering - 4629

JEE Main Cutoff Summary: SSIPMT

The JEE Main 2025 cutoff for admission to SSIPMT in the General category ranges from 1006 to 6337 for its B.Tech programs. For B.Tech Artificial Intelligence and Machine Learning, the Round 1 cutoff is 1991, with the last round cutoff at 1006. The cutoff for B.Tech Computer Science Engineering is 3494 in Round 1 and 2009 in the last round. Other courses such as Data Science, Information Technology, and Artificial Intelligence have Round 1 admission cutoffs between 4403 and 5092.

Branches including Mechanical Engineering and Civil Engineering show a Round 1 cutoff range from 6288 to 6337. For OBC candidates, the cutoff range for admission is from 2424 for Artificial Intelligence and Machine Learning to 5706 for Electronics & Telecommunication Engineering. In the SC category, the cutoff for Computer Science Engineering is 4384, and for Artificial Intelligence, it is 5082. For ST candidates, the cutoff for Artificial Intelligence is 4469, and for Artificial Intelligence and Machine Learning, it is 4662.

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