
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Private Institute
- Estd. 2010
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Axis College of Engineering and Technology Overview
Axis College of Engineering and Technology offers admission to the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course. This is a 4 years UG course. Students may check other courses under Axis College of Engineering and Technology B.E. / B.Tech.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Type of University | Private |
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Axis College of Engineering and Technology Frequently Asked Questions
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B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Axis College of Engineering and Technology Entry Requirements
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Axis College of Engineering and Technology Admission Process
Important Dates
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Axis College of Engineering and Technology Cutoffs
UPCAT round-wise cutoff Rank: (General-All India)
| Round | 2020 |
|---|---|
| 1 | - |
| 2 | 41141 |
UPCAT round-wise cutoff Rank: (OBC-All India)
| Round | 2020 |
|---|---|
| 1 | - |
| 2 | 41141 |
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| Courses | Eligibility |
|---|---|
| B.E. / B.Tech | Candidates must have passed 10+2 (Higher Secondary Examination, Kerala), or Examinations recognised as equivalent thereto, with Physics, Mathematics, Chemistry/ Computer Science/ Biotechnology/ Biology with atleast 45% (40% marks for SC/ST/ SEBC and those included in the PD quota) marks put together in the above subjects. Result awaited students can also apply on provisional basis. Applicants should have completed 17 years of age as on the 31st December 2022. |
The BTech CSE syllabus is incomplete without regular lab classes and internship programs because of the importance of programming, software development, and AI and ML knowledge required in the CSE field, which cannot be taught only through theory classes.
Premier institutes often collaborate with leading industrial partners to provide their students with the best internship exposure and training opportunities, which may act as an entry point to excellent earning opportunities later.
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