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B.Tech CSE Artificial Intelligence and Machine Learning at Unitedworld Institute of Technology, Gandhinagar Offline Course
48 Months
Full time
6,64,000Quick Facts
Total Fees 6.64 L | Exam JEE Main | Seats 60 |
Fees Details
General
₹ 6.64 L
NQ
$ 10.93 K
Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.
Course Details
MODE
Full timeDURATION
48 MonthsBachelor of Technology (B.Tech) in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning is a four-year (8 semesters) full-time undergraduate program offered by the Karnavati University, Gandhinagar.
Important dates
| Exams and Events | Dates |
|---|
JEE Main Application Date - Jan session: Without late fee (Mode - Online) | 23 Oct'26 - 22 Nov'26 |
JEE Main Late Fee Application Date - Jan session: With late fee of Rs.500/- (Mode - Online) | 22 Nov'26 - 26 Nov'26 |
JEE Main Others - Jan session: Successful fee payment without late fee (Mode - Online) | 23 Oct'26 - 22 Nov'26 |
JEE Main Others - Jan session: Successful fee payment with late fee of Rs.500/- (Mode - Online) | 22 Nov'26 - 25 Nov'26 |
JEE Main Application Correction Date - Jan session (Mode - Online) | 26 Nov'26 - 28 Nov'26 |
JEE Main Choice of Exam City - Jan session (Mode - Online) | 29 Dec'26 - 27 Jan'27 |
JEE Main Application Date - April session: Without late fee (Mode - Online) | 4 Jan'27 - 2 Feb'27 |
JEE Main Others - April session: Successful fee payment without late fee (Mode - Online) | 4 Jan'27 - 2 Feb'27 |
JEE Main Admit Card Date - Jan session (Mode - Online) | 12 Jan'27 |
JEE Main Admit Card Date - Jan session (Mode - Online) | 12 Jan'27 - 27 Jan'27 |
JEE Main Exam Date - Jan session (Mode - Online) | 19 Jan'27 - 23 Jan'27 |
JEE Main Exam Date - Jan session (Mode - Online) | 27 Jan'27 - 27 Jan'27 |
JEE Main Exam Date - Jan session: Buffer exam date (Mode - Online) | 30 Jan'27 - 30 Jan'27 |
JEE Main Late Fee Application Date - April session: With late fee of Rs.500/- (Mode - Online) | 3 Feb'27 - 7 Feb'27 |
JEE Main Application Correction Date - April session (Mode - Online) | 7 Feb'27 - 9 Feb'27 |
JEE Main Choice of Exam City - April session (Mode - Online) | 11 Mar'27 - 6 Apr'27 |
JEE Main Admit Card Date - April session (Mode - Online) | 24 Mar'27 - 6 Apr'27 |
JEE Main Exam Date - April session (Mode - Online) | 1 Apr'27 - 6 Apr'27 |
Eligibility Criteria
70%+ in 12th Grade with PCM 60 PR In JEE or GUJCET
Top Exams Accepted by Unitedworld Institute of Technology, Gandhinagar
Student Reviews for B.Tech CSE Artificial Intelligence and Machine Learning
4.5/5(3 Reviews)
College is good overall
Verified ReviewPosted on 18 Apr'26 by Ashu
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
College Infrastructure
The college infrastructure is well-developed and supports both academic and extracurricular activities effectively. Classrooms are spacious, well-ventilated, and equipped with basic teaching aids, creating a comfortable learning environment. The campus is clean and maintained regularly, which adds to the overall positive experience. Facilities such as the library, computer labs, and seminar halls are adequately equipped and accessible to students. The library offers a good collection of books and study materials, while the labs provide the necessary resources for practical learning. Wi-Fi connectivity is available in most areas, though it can sometimes be inconsistent. The campus also includes essential amenities like a canteen, sports grounds, and common areas for students to relax and interact. While the infrastructure is generally impressive. Overall, the college infrastructure deserves a rating of 4 out of 5 for providing a supportive and student-friendly environment.
vibrant culture, and excellent career outcomes
Verified ReviewPosted on 17 Apr'26 by
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
College Infrastructure
My time at this institution has been a transformative journey that balanced rigorous academics with a vibrant campus culture. From a pedagogical standpoint, the curriculum is designed to bridge the gap between theoretical foundations and industry application. The faculty members are not just lecturers; they are mentors who bring real-world insights into the classroom, often challenging students to think beyond the textbook. The campus infrastructure is impressive, featuring modern laboratories and a library that serves as a quiet sanctuary for deep work. However, the true heart of the college lies in its student-led organizations. Whether through technical clubs or cultural societies, there is a constant hum of activity that fosters leadership and collaboration.
vibrant culture, and excellent career outcomes.
Verified ReviewPosted on 17 Apr'26 by
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
Batch of 2029-01-01 | B.Tech CSE Artificial Intelligence and Machine Learning
College Infrastructure
The campus infrastructure is impressive, featuring modern laboratories and a library that serves as a quiet sanctuary for deep work. However, the true heart of the college lies in its student-led organizations. Whether through technical clubs or cultural societies, there is a constant hum of activity that fosters leadership and collaboration. On the flip side, the administrative processes can occasionally feel bureaucratic, and the intense academic schedule leaves little room for downtime during midterms. Despite these minor hurdles, the career services department is exceptionally proactive, providing robust networking opportunities and internship placements that feel tailored to individual aspirations. Overall, this college provides a holistic environment for those willing to put in the effort. It’s a place that demands excellence but rewards it with lifelong friendships and a solid professional foundation. I would highly recommend it to any student looking for a challenging yet supportive academic home.
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