Sanskar Educational Group cutoff 2025 for B.Tech has been released on the official website of UPTAC (uptac.admissions.nic.in). Sanskar Educational Group JEE Main cutoff 2025 Opening Rank (346096) & Closing Rank (1186992) for B.Tech in Computer Science and Engineering in the general category (Home State). The Sanskar Educational Group B.Tech JEE Main cutoff 2025 is given in the table below:
| Course | Quota | Category | Opening Rank | Closing Rank | 
| B.Tech in Computer Science And Engineering(Data Science) | Home State | OPEN | 929649 | 1199828 | 
| B.Tech in Computer Science and Engineering | Home State | OPEN | 346096 | 1186992 | 
| B.Tech in Computer Science And Engineering(Artificial Intelligence & Machine Learning) | Home State | OPEN | 630392 | 1446050 | 
| Course Name | Fees | Eligibility | 
| B.Tech. (Bachelor of Technology) | ₹90,000 | 10+2 education from a recognized board with Physics, Chemistry, and Mathematics as compulsory subjects, minimum aggregate score of 50% in qualifying examination, valid score in any national or state-level engineering entrance examination.  | 
| M.B.A. (Master of Business Administration) | ₹75,000 | Bachelor's degree in any discipline, minimum aggregate score of 50%, valid score in national-level management entrance exams (CAT, MAT, XAT, CMAT)  | 
| B.Des. (Bachelor of Design) | ₹60,000 | Students Must have completed (10+2) from a recognized Board. minimum of 60% marks. and with any stream.  | 
| B.A. (Bachelor of Arts) | ₹60,000 | Must have passed 10+2 (Higher Secondary) in any stream from a recognized board.A minimum of 60% marks.  | 
| B.B.A. (Bachelor of Business Administration) | ₹60,000 | 10+2 education from a recognized board or equivalent, studied English as a compulsory subject, minimum aggregate of 50% in qualifying exams  | 
| B.C.A. (Bachelor of Computer Applications) | ₹60,000 | 10+2 education from a recognized board, Mathematics as a compulsory subject in 10+2 curriculum, minimum percentage requirement  | 
| B.Com. (Bachelor of Commerce) | ₹45,000 | Passed 10+2 examination with a minimum of 40% marks in aggregate..  | 
| B.Pharm. (Bachelor of Pharmacy) | ₹1,00,000 | 10+2 education in the science stream, Physics, Chemistry, and Biology as compulsory subjects, minimum aggregate score of 50%, qualified in relevant entrance exams (state-level common entrance test, NEET, JEE)  | 
| Diploma | ₹40,000 | 10+2 education from a recognized board or equivalent, minimum aggregate score of 50%, studied English as a compulsory subject  | 
| M.C.A. (Master of Computer Applications) | ₹75,000 | Must have a Bachelor’s degree in (Mathematics) from a recognized university. A minimum of 60% marks.  | 
| M.Pharm. (Master of Pharmacy) | ₹1,00,000 | Bachelor's degree in Pharmacy (B.Pharm.), Minimum aggregate score of 50%  | 
| Diploma in Pharmacy | ₹80,000 | 10+2 education, minimum aggregate of 50% marks in Physics, Chemistry, and Biology/Mathematics, studied English as a compulsory subject  | 
| B.Arch. (Bachelor of Architecture) | ₹1,00,000 | Higher secondary education (10+2) or equivalent, Minimum aggregate score of 50% in the science stream, Studied Physics, Chemistry, and Mathematics as compulsory subjects, Cleared the National Aptitude Test in Architecture (NATA) or any other relevant entrance examination approved by the Council of Architecture (COA)  | 
| B.Voc. (Bachelor of Vocation) | ₹30,000 | 10+2 education from a recognized board or equivalent, minimum aggregate score of 50% in qualifying examination  | 
Sanskar Educational Group B.Tech UPSEE cutoff 2025 has been released for Round 1. The overall Sanskar Educational Group B.Tech cutoff 2025 Rank for Open category is 346096 for B.Tech in Computer Science and Engineering and 1446050 for B.Tech CSE in Artificial Intelligence & Machine Learning. Sanskar Educational Group UPSEE Cutoff 2025 for B.Tech admission is listed below.
| Course | Opening Rank | Closing Rank | 
|---|---|---|
| B.Tech in Computer Science and Engineering | 346096 | 1186992 | 
| B.Tech in Data Science | 929649 | 1199828 | 
| B.Tech CSE in Artificial Intelligence & Machine Learning | 630392 | 1446050 |