The Neotia University cutoff 2024 will be based on WBJEE 2024 scores. West Bengal Joint Entrance Exam Board (WBJEEB) is going to release the B.Tech cutoff after the results have been declared. WBJEE result has been announced at wbjeeb.nic.in. Analysing the previous year's data the Neotia University cutoff for B.Tech in Computer Science & Engineering (Cyber Security) can be between 26854 - 34860 for the General category students in 2024. Based on the previous year's Neotia University cutoff for B.Tech courses, interested candidates can get an idea of the expected cutoff for various categories. For the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme, candidates should aim to obtain a rank between 49512 and 58795 from the General category students at The Neotia University.
Course | Expected Closing Rank |
B.Tech in Computer Science & Engineering (Cyber Security) | 26854 - 34860 |
B.Tech in Robotics and Automation Engineering | 63252 - 71369 |
B.Tech in Computer Science and Engineering (Data Science) | 42568 - 49638 |
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 49512 - 58795 |
B.Pharma | 21520 - 32452 |
The Neotia University cutoff 2023 was released by the West Bengal Joint Entrance Examinations Board (WBJEEB). After the WBJEE 2023 results were announced, qualified students prepared for the counselling process. The rank cards could be downloaded from wbjee.nic.in. The Neotia University offered admissions to B.Tech and B.Pharma courses through the WBJEE exam, with the cutoff being influenced by several factors. These factors included the difficulty level of the WBJEE 2023 exam, the number of candidates who appeared for the exam, and the seat availability for various streams.
The Neotia University Cutoff 2023
Course | Closing Rank |
B.Tech in Computer Science & Engineering (Cyber Security) | 29730 |
B.Tech in Robotics and Automation Engineering | 66700 |
B.Tech in Computer Science and Engineering (Data Science) | 45410 |
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 52645 |
B.Pharma | 25191 |