Year | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Admission fees | ₹25000 | - | - | - |
Tution fees | ₹82000 | ₹82000 | ₹82000 | ₹82000 |
Total Year Wise fees | ₹1.07 Lakhs | ₹82,000 | ₹82,000 | ₹82,000 |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
GUJCET 2025 Admit Card Availability | Mar 21, 2025 |
GUJCET 2025 Registration Timeline | Jan 31, 2025 - Mar 21, 2025 |
GUJCET 2025 Exam Date | Mar 31, 2025 |
GUJCET 2025 Result Date | May 09, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
---|---|
Application Deadline (UG & PG Courses) | Mar 31, 2024 |
GUJCET 2024 Counselling Date | Jun 07, 2024 |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
---|---|
GUJCET 2025 Registration Timeline | Jan 31, 2025 - Mar 21, 2025 |
GUJCET 2025 Admit Card Availability | Mar 21, 2025 |
GUJCET 2025 Exam Date | Mar 31, 2025 |
GUJCET 2025 Result Date | May 09, 2025 |
Events | Dates |
---|---|
GUJCET 2024 Counselling Date | Jun 07, 2024 |
The 2021 GUJCET cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at Karnavati University was 22001 for the General category.
Candidate must have passed with Minimum 60% in 10+2 (Sci. Stream).
Entrance Exam:
JEE main / + PI
B.Tech Computer Science and Engineering B.Tech computer science and engineering with Artificial Intelligence & Machine Learning
Search from 20K+ Courses and 35+ Streams
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I have chosen this course because of the increasing demand for AI professionals in the Computational World The ratio of faculty: student ratio is 1:120 for each course. Faculty members are fully qualified and their teaching method is very impressive in Computing. Terms exams are to be taken frequently each month and if studied properly it's easy to pass.
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