Dwarkadas J. Sanghvi College of Engineering Vile Parle West Mumbai Answered Questions

The entrance exams accepted by DJ Sanghvi for B.Tech. in Computer Science and Engineering (Data Science) are not explicitly mentioned in the provided information. However, based on general knowledge, it can be inferred that the college may accept exams like MHT-CET or JEE Main for admission to B.Tech. programs.
To confirm the exact entrance exams accepted, refer to the official website or contact the college administration directly.

B.Tech in Artificial Intelligence and Data Science at DJ Sanghvi offers a comprehensive curriculum, industry exposure, and career opportunities. The course focuses on core technologies like AI, Data Mining/Modelling, Machine Learning, Big Data Analytics, and Cloud Computing. It provides training on statistical tools, mathematical models, and data visualization skills, with applications in healthcare, business, e-commerce, and more. The program has a duration of 4 years, with an intake of 60 students, and is designed to teach underlying concepts of AI, Machine Learning, and Data Science to solve real-world problems.

Admission to B.Tech. in Electronics and Telecommunication Engineering at DJ Sanghvi is based on the candidate's performance in the entrance exam (MHT-CET or JEE Main) and their score in the 12th standard exams. The eligibility criteria include a minimum of 45% marks in Physics, Chemistry, and Mathematics in the 12th standard exams.

Admission to B.Tech. in Artificial Intelligence and Machine Learning at DJ Sanghvi can be obtained through the following process:
Eligibility Criteria: The candidate should have passed 10+2 with a minimum of 45% marks in Physics, Chemistry, and Mathematics.
Admission Process: The admission process typically involves a combination of merit-based selection and entrance exams like MHT-CET or JEE Main.
Application Form: Candidates need to fill out the application form, which is usually available on the college's website.
Counseling and Seat Allocation: After the entrance exam results are declared, candidates participate in counseling and seat allocation processes.
Document Verification: Shortlisted candidates need to undergo document verification, where they need to produce original documents like mark sheets, certificates, and identity proof.
Fee Payment: Once the admission is confirmed, candidates need to pay the fees to secure their seat.
Please note that the admission process may vary, and candidates should check the college's website or contact the admission office for the most up-to-date information.

B.Tech. in Artificial Intelligence and Machine Learning graduates from DJ Sanghvi can work in various roles such as:
- AI/ML Engineer
- Data Scientist
- AI Researcher
- NLP Engineer
- GenAI engineer
- Full stack Developer
- Dev-Ops Engineer
- ML-Ops engineer.

The eligibility criteria for admission to DJ Sanghvi for B.Tech. in Artificial Intelligence and Machine Learning are not explicitly stated in the provided information. However, based on general admission criteria for B.Tech programs, it typically includes:
Qualifying exams like JEE Main or MHT CET
Minimum percentage requirements in 12th standard or equivalent, especially in subjects like Mathematics, Physics, and Chemistry
Other specific requirements as mandated by the institution or the governing body
For the most accurate and up-to-date information, it is recommended to check the official website of DJ Sanghvi College of Engineering or contact their admissions office directly.

B.Tech in Artificial Intelligence and Machine Learning at DJ Sanghvi offers practical, hands-on experience, a future-focused curriculum, and high-demand career opportunities. The programme provides a strong foundation in computer Science and expertise in AI and ML technologies, with a focus on statistical tools, mathematical models, machine learning, knowledge discovery, and data visualization skills. The department has state-of-the-art infrastructure, experienced faculty, and an active mentorship and internship ecosystem. Students can explore applications of AI in various fields, including healthcare, cybersecurity, bioinformatics, finance, robotics, education, and computational linguistics. The programme is an excellent launchpad for higher education in India and abroad.