SIES Graduate School of Technology Nerul Mumbai Answered Questions

To get a seat in SIES Graduate School of Technology for B.Tech. in Artificial Intelligence and Data Science, follow these steps:1. Check the eligibility criteria: The candidate should have passed 10+2 with Physics, Chemistry, and Mathematics as compulsory subjects.2. Apply for admission: Fill the online application form available on the SIES website.3. Appear for entrance exams: SIES Graduate School of Technology accepts scores of entrance exams like MHT-CET or JEE Main.4. Attend counseling: After the declaration of results, attend the counseling session to confirm your admission.5. Pay fees: Once your admission is confirmed, pay the required fees to secure your seat.

The SIES Graduate School of Technology offers admission to the B.Tech. in Artificial Intelligence and Machine Learning course based on the candidate's performance in the entrance exam, specifically the Maharashtra Common Entrance Test (MHT-CET) or the Joint Entrance Examination (JEE) Main.

To get a seat in SIES Graduate School of Technology for B.Tech. in Artificial Intelligence and Machine Learning, candidates need to appear for the Maharashtra Common Entrance Test (MHT-CET) or Joint Entrance Examination (JEE) Main. Admission is based on the candidate's score in the entrance exam, with a minimum of 45% marks in Physics, Mathematics, and Chemistry in 10+2 exams. Additionally, candidates must meet the eligibility criteria set by the institute, which includes a valid score in MHT-CET or JEE Main, and a minimum aggregate of 50% marks in 10+2 exams.

B.Tech. in Computer Engineering at SIES Graduate School of Technology can be chosen due to its:
1. Well-rounded curriculum
2. Experienced faculty
3. Modern facilities
4. Industry collaborations
5. Decent placement record
6. Technical and non-technical clubs and events
7. Strong alumni network

The placement stats for B.Tech. in Computer Engineering at SIES Graduate School of Technology are as follows:
- Placement Success Rate: 95%
- the highest Package: 32 LPA
- Average CTC: 8 LPA
- Number of Students Placed: 2000+
- Number of Hiring Partners: 150+

To apply for B.Tech. in Artificial Intelligence and Machine Learning at SIES Graduate School of Technology,
1. Visit the official website of SIES Graduate School of Technology.
2. Check the eligibility criteria for the course, which typically includes a minimum percentage in 10+2 with subjects like physics, chemistry, and mathematics.
3. Fill out the online application form and upload the required documents, such as mark sheets, identity proof, and photographs.
4. Pay the application fee through the available payment modes.
5. Appear for the entrance exam, if required, and wait for the merit list to be announced.
6. Once selected, complete the admission formalities, which may include document verification, fee payment, and other administrative tasks.
Please note that the admission process may vary, and it's best to check the official website or contact the institution for the most up-to-date information.

To get admission to B.Tech. in Artificial Intelligence and Machine Learning at SIES Graduate School of Technology,
1. Candidates should have passed 10+2 with a minimum of 45% marks (40% for reserved categories) with Physics, Chemistry, and Mathematics as compulsory subjects.
2. They should have a valid score in the Maharashtra Common Entrance Test (MHT-CET) or Joint Entrance Examination (JEE) Main.
3. The admission process involves counseling, where seats are allotted based on the candidate's score in MHT-CET or JEE Main.
4. Candidates can apply online through the official website of the institute or through the State Common Entrance Test Cell, Maharashtra.
5. They should fill in the application form, upload required documents, and pay the application fee.
6. After the counseling process, selected candidates should report to the institute for verification of documents and payment of fees.
7. The institute also offers scholarships to meritorious students, which can be availed by applying through the official website.
8. The programme has a strong focus on research, with faculty members having expertise in AI and ML, and provides opportunities for students to work on projects and research papers.
9. The curriculum is designed to provide a strong foundation in computer Science and engineering, with specialised courses in AI and ML, and includes subjects like machine learning, deep learning, natural language processing, and computer vision.
10. The programme also includes soft skills and personality development, to make students industry-ready.