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Bachelor of Technology [B.Tech] {Lateral} (Artificial Intelligence and Data Science) From VIT, Bhimavaram
| Year | 1 | 2 | 3 |
|---|---|---|---|
| Tution fees | ₹60000 | ₹60000 | ₹60000 |
| Total Year Wise fees | ₹60,000 | ₹60,000 | ₹60,000 |
VIT Upcoming Application Dates 2024
Expired Events
| Events | Dates |
|---|---|
| JEE Main 2024 Registration (Session - 2) | Feb 02, 2024 - Mar 04, 2024 |
| JEE Main 2024 Admit Card (Session - 2) | Apr 03, 2024 |
| JEE Main 2024 Exam Date (Session - 2) | Apr 04, 2024 - Apr 12, 2024 |
VIT Bachelor of Technology [B.Tech] {Lateral} (Artificial Intelligence and Data Science) Ranking
Indiatoday Ranking
Outlook Ranking
Eligibility Criteria
Aspirants seeking admission to the Program should have passed diploma in engineering or B.Sc.
Additional 10% of intake are admitted to 2nd Year B.Tech. under lateral entry scheme based on ECET rank.
Bachelor of Technology [B.Tech] {Lateral} (Artificial Intelligence and Data Science) Comparison
| VIT | SRKR | |
|---|---|---|
| Reviews Rating | ||
| Cost To Study | Total Fees ₹180000 (3 Years ) | - |
| Ranking | # Ranked 154/246 by India Today Engineering Ranks | # Ranked 117/130 by The Week Engineering Ranks |
| Highest Salary | ₹4400000 | ₹1200000 |
| Average Salary | ₹400000 | ₹360000 |
| General Course Details | Duration - 3 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 3 Years Course Offered - Full Time Total Seats - 18 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
| Eligibility | 10+3 | 10+3 |
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Why To Join VIT - Reviews & Rating
Course Curriculum Overview:
I am very interested in my course. Then I joined this course. In my college faculty lectures are good. The ratio of faculty is 1:15. Qualifications of faculty of my college are pass out of M.tech, MBA with 25 plus experience. Exams of midterms are conducted within 8 weeks of starting college and end exams are counted in a period of 6 months. Moderate to pass in examination.
Course Curriculum Overview:
I chose this course as I was good at mathematics and this data science will be the future of the world. 1:30 is the faculty-student ratio. Qualifications for faculties are MTech for assistant lecturer and PhD for associate lecturer. As it was an autonomous college, it was easy to pass the exams.
Course Curriculum Overview:
I have chosen this artificial Intelligence and Data Science course based on my personal interest in the latest technology that I have seen in this course. So the strength is around 150 members and each subject will be taught by each faculty. The faculty is exceptionally good the infrastructure is good and the course is a bit clumsy that needs to be sorted. The qualification of the faculty or the experience of the faculty is good is around 5-10 years of experience. There are 2 mid-term examinations and 1 semister per half a year.
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