How can I get B.E. in Artificial Intelligence and Data Science at Velammal Engineering College?
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2 Answers
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To get admission to the B.E. in Artificial Intelligence and Data Science programme at Velammal Engineering College, you must meet the following entry requirements:
Pass the 10+2 (HSC) or equivalent exam from a recognised board or council with at least 45% marks
Alternatively, you can apply if you passed the 10+2 in a vocational subject and an engineering-related subject, such as Mathematics, Physics, or Chemistry
You can obtain a registration form in person from the college and submit it with the required documents at the respective school. The submission can be done on any working day between 8:30 AM and 4:30 PM.
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B.E. in Artificial Intelligence and Data Science in Velammal Engineering College follows these steps given below:
Educational Qualification: The applicant should pass HSC or equivalent 10+2 with 45% minimum aggregate and subjects such as Mathematics, Physics, and Chemistry.
Vocational Subjects: Those who have completed HSC in vocational subjects related to engineering may also appear if they have done one of the engineering-oriented subjects like Maths, Physics, or Chemistry.Selection Procedure
Entrance Examination: Admission strictly through TNEA Counseling. The counseling procedure is done by considering the marks obtained in 12th Stand...more
Similar Questions for you
Velammal Engineering College TNEA cutoff was concluded with the release of Round 3 seat allotment result, wherein the last-round closing ranks varied between 37752 and 66393. Among all the BE/ BTech specialisations, the most desirable one was Computer Science and Engineering followed by Information Technology for the General AI category students. To learn more about the Velammal Engineering College branch-wise cutoff 2024 for TNEA, check out the table below:
| Course | TNEA Last Round Cutoff 2024 |
|---|---|
| B.E. in Computer Science and Engineering | 37752 |
| B.E. in Electronics and Communication Engineering | 51641 |
| B.E. in Electrical and Electronics Engineering | 59215 |
| B.Tech. in Information Technology | 47494 |
| B.E. in Civil Engineering | 66393 |
| B.E. in Artificial Intelligence and Data Science | 48333 |
| B.Tech. in Computer Science and Engineering (Cyber Security) | 51415 |
Velammal Engineering College TNEA cutoff 2024 ranged between 37752 and 66393 for BE/BTech admission among the General AI quota. So, students with a cutoff of 59215 are eligible to secure a seat at Velammal Engineering College. Since you have not mentioned in which course you want to take admission, I am considering you don't have any specific course preference. Hence, a list of all the BE specialisations is tabulated below up to a cutoff rank of 59215 for Velammal Engineering College BE/ BTech admission through TNEA counselling:
| Course | TNEA Last Round Cutoff 2024 |
|---|---|
| B.E. in Computer Science and Engineering | 37752 |
| B.Tech. in Information Technology | 47494 |
| B.E. in Artificial Intelligence and Data Science | 48333 |
| B.Tech. in Computer Science and Engineering (Cyber Security) | 51415 |
| B.E. in Electronics and Communication Engineering | 51641 |
| B.E. in Electrical and Electronics Engineering | 59215 |
The TNEA 2025 rank list is tentatively scheduled to be published in July 2025. The TNEA 2025 application window is tentatively scheduled to open in May 2025.
Velammal Engineering College's TNEA 2024 counselling ended with the release of the SCA to SA Conversion provisional allotment result for BE/BTech courses. Admission to BE/BTech courses at Velammal Engineering College is based on valid TNEA scores and a counselling process.
The faculty at Velammal Engineering College is highly qualified, with most members holding master's or doctoral degrees. Professors have significant teaching and industry experience. The faculty focuses on practical applications, research guidance, and skill development. They also organize workshops, seminars, and training sessions to enhance students' industry readiness.
The faculty at Velammal Engineering College is generally considered to be well-qualified, experienced, and helpful:
Teaching: Some say the faculty are good at teaching and share their experiences. They also provide students with monthly assignments and presentations.
Communication: Students say the faculty are friendly and good at communicating.
Research: Faculty members are involved in research in areas such as artificial intelligence, network and information security, and software engineering.
Support: Some say the faculty helps understand topics.
Placement: Some say the college
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