Mukesh Patel School of Technology Management and Engineering NMIMS Shirpur Answered Questions

Yes, there will be counselling sessions for admission to the B.Tech. in Computer Engineering at NMIMS Mukesh Patel School of Technology Shirpur. The selection process for the programme involves NMIMS CET/ SAT/ACT Scores, and eligible candidates will be required to participate in counselling sessions.

The eligibility criteria to seek direct admission for the B.Tech. in Computer Engineering course at NMIMS Mukesh Patel School of Technology Shirpur is 12th class or equivalent from a recognised board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject. Candidates passing out in 2024 can apply.

There is no specific age limit to pursue the B.Tech. in Artificial Intelligence and Machine Learning course at NMIMS Mukesh Patel School of Technology Shirpur. However, the eligibility criteria require students to have completed their 12th class or equivalent from a recognised board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject.

Check Eligibility: Ensure you have 45% in Physics, Chemistry & Mathematics in 12th class or equivalent from a recognised board.
Apply for NMIMS CET/SAT/ACT: Register and appear for the NMIMS Common Entrance Test (NCET) or SAT or ACT.
Fill Application Form: Submit the application form with required documents.
Selection Process: Get selected based on NMIMS CET/SAT/ACT scores.
Admission: Confirm admission by paying fees and completing other formalities.

To get admission to B.Tech. in Artificial Intelligence and Machine Learning at NMIMS Mukesh Patel School of Technology Shirpur, candidates must have 12th class or equivalent from a recognised board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject. The admission process typically involves a comprehensive curriculum and innovative teaching-learning process. The department strives to align the curriculum with the latest trends and requirements of the Analytics, AI, and IT sectors, ensuring that graduates are job-ready and can seamlessly integrate into the dynamic workforce.

The NMIMS Mukesh Patel School of Technology Shirpur offers admission to the B.Tech. in Artificial Intelligence and Machine Learning course based on 12th class or equivalent from a recognised board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject.

The college is moderately strict when it comes to the eligibility requirements of B.Tech. in Artificial Intelligence and Machine Learning at NMIMS Mukesh Patel School of Technology Shirpur, with a requirement of 45% in Physics, Chemistry & Mathematics / vocational subject in 12th class or equivalent from a recognised board.

To get admission to B.Tech. in Computer Engineering at NMIMS Mukesh Patel School of Technology Shirpur, candidates must appear for the NMIMS Common Entrance Test (NMIMS CET) or submit SAT/ACT scores. The eligibility criteria include a minimum of 45% in Physics, Chemistry, and Mathematics in 12th standard or equivalent from a recognised board. Candidates passing out in 2024 can also apply. The programme is of 4 years duration, divided into 8 semesters.

The documents required for B.Tech. in Artificial Intelligence and Machine Learning admission at NMIMS Mukesh Patel School of Technology Shirpur are:1. 12th class or equivalent marksheet2. 12th class or equivalent passing certificate3. Transfer certificate4. Migration certificate5. Character certificate6. Caste certificate (if applicable)7. Physically handicapped certificate (if applicable)8. Entrance exam score card (if applicable)9. ID proof10. Passport size photographs.

B.Tech. in Artificial Intelligence and Machine Learning at NMIMS Mukesh Patel School of Technology Shirpur is a 4-year, 8-semester programme with 60 seats. The programme aims to provide a comprehensive education in AI and ML, with a focus on creating job-ready graduates who can integrate into the dynamic workforce. The department has a team of highly qualified faculty members and state-of-the-art facilities, including an AI lab with GPUs and high-performance computers. The programme covers a range of topics, including intelligent systems, machine learning, deep learning, natural language processing, computer vision, data analytics, and ethics in AI. The department also offers a doctoral programme in engineering and has a strong research focus, with collaborations with industry and academia. The mission of the programme is to create AI and ML graduates with sound technical and managerial skills, and to promote project-based learning by providing opportunities to work on real-life challenging problems in areas such as healthcare, education, and smart cities.