NMIMS Deemed to be University - Navi Mumbai Campus Answered Questions

To apply for B.Sc. (Hons.) in Artificial Intelligence at NMIMS Navi Mumbai, follow these steps:
1. Visit the NMIMS website and navigate to the "Academics" section.
2. Click on "Programs" and then select "Four-year-bsc-hons-artificial-intelligence".
3. Fill out the enquiry form to get more information about the program.
4. Check the programme objectives, pedagogy, course duration, specializations, and scope to ensure it aligns with your interests and career goals.
5. Look for the admission process and eligibility criteria on the website.
6. Apply online through the NMIMS website and pay the application fee.
7. Submit the required documents and wait for the admission decision.
Note: The exact steps may vary, and it's recommended to check the official NMIMS website for the most up-to-date information.

The documents required for B.Sc. in Finance admission at NMIMS Navi Mumbai are:
1. 10+2 mark sheet
2. 10+2 passing certificate
3. Transfer certificate
4. Migration certificate
5. Caste certificate (if applicable)
6. Income certificate (if applicable)
7. Domicile certificate (if applicable)
8. Anti-ragging affidavit
9. Medical certificate
10. Passport size photographs
Please note that the documents required may vary, and it's always best to check with the institution for the most up-to-date information.

You should choose B.Sc. (Hons.) in Artificial Intelligence at NMIMS Navi Mumbai because it prepares students to develop artificial intelligence applications, develops strong analytical thinking skills and problem-solving abilities, opens the door to new and exciting career paths, and develops purposeful competencies in Artificial Intelligence and Data Science. The programme offers specializations in Decision Making and Robotics, Machine Learning, Perception and Language, and Human-AI Interaction, and has a scope in industries with abundant career opportunities at various levels.

To get admission to B.Sc. in Data Science at NMIMS Navi Mumbai, candidates must have passed 10+2 or equivalent examination with Mathematics/Mathematics & Statistics as a compulsory subject with a minimum of 50% aggregate marks. The admission criteria are based on the performance in NMIMS-MST, and the scores of NMIMS-MST will be considered for the merit list process. The programme is a 4-year Bachelor of Science Degree in Data Science with options to exit in the foundation, diploma, or B.Sc. degree level, and there are 60 seats available at the Mumbai Campus.

| Year | Total Students | Students Opting for Placement | the highest CTC | Average CTC | Placement Percentage || - | - | - | - | - | - || 2016-19 | 87 | 18 | 11,60,000 | 4,60,000 | 77% || 2015-18 | 57 | 11 | 12,00,000 | 6,89,355 | 60% || 2014-17 | 72 | 7 | 5,80,000 | 4,50,000 | - || 2013-16 | 35 | 7 | 9,00,000 | 3,70,000 | - || 2012-15 | 32 | 6 | 9,00,000 | 4,40,000 | - || 2010-13 | 29 | 6 | 4,80,000 | 3,75,000 | - || 2020-21 | 91 | 28 | 12,00,000 | 6,97,931 | 64% |

For reserved category students, the admission criteria for B.Tech. in Computer Science and Business Systems at NMIMS Navi Mumbai includes a 12th class or equivalent from a recognised board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject, and selection through NMIMS CET/ SAT/ACT Scores.

The documents required for eligibility verification during B.Sc. (Hons.) in Artificial Intelligence admissions at NMIMS Navi Mumbai are:
10 + 2 or equivalent examination marksheet
10 + 2 or equivalent examination certificate
Transfer certificate
Migration certificate (if applicable)
Caste certificate (if applicable)
Income certificate (if applicable)
Anti-ragging affidavit
Medical certificate
Undertaking for eligibility

In the B.Tech. in Artificial Intelligence and Data Science at NMIMS Navi Mumbai, you will study a range of subjects including:
Foundational courses in mathematics, physics, and computer science
Core courses in artificial intelligence, machine learning, and data science
Elective courses in areas such as natural language processing, computer vision, and robotics
Project-based learning and industry internships to provide hands-on experience
Courses on entrepreneurship and professional skills to prepare students for the workforce
The programme aims to equip students with the skills and knowledge to analyze complex data patterns, demonstrate superior work ethics, and pursue advanced studies and research. The curriculum is designed to include a balanced mix of theoretical and practical courses, with a focus on continuous self-learning and innovation.