Visva bharati, my dream University

Sd
5.0 /5

Remarks :

The admission is taken from the CUET exam for Both undergraduate and postgraduate. Hostel accommodation is very good. They also provide canteen facilities. The university provides many scholarships like Inspire and single girl child scholarships.

Course Curriculum Overview :

Here exams are taken semester basis. there are a total of six semesters for graduation and four for master's. I think semester exams are not so difficult to pass, if you attain all the classes it's very easy to gain a good CGPA, also teachers are so helpful.

Loan/ Scholarship Provisions :

The university provides all the scholarship according to your percentage, like Inspire scholarship, Marit cum scholarship, kanyashree ( ke), also accept single girl child scholarships, I got Inspire scholarship,

Campus Life :

Classrooms are very comfortable, and even though there are some classes taken in the seminar hall that have AC, the entire campus is very good, and peaceful. Also, there are libraries one is Siksha Bhabana Library and the other is the central library, where you can read daily according to their time

Hostel Facilities :

All hostes are too good , there are approximately 13 girls hostel & 12 boyes hostel I think, also hostel rooms are very good , there are 3 seater rooms also single room for research scholar. Room contains 3 light , 2 fan , study table along with night lamp

Reply
5.0 out of 5
5.0/5Course
5.0/5Campus Life
5.0/5College
5.0/5Hostel Life


Similar Reviews View All

SJ
4.5 /5

Course Curriculum Overview:

Course Curriculum: The course curriculum should cover a wide range of relevant topics in data science and analytics. It should include theoretical concepts, practical applications, and industry-related projects. Real-world case studies and the integration of the latest tools and technologies are essential. Reason for Choosing the Course: You might choose a data science and analytics course for its relevance in the job market, the opportunity to work with data or your interest in the field. Faculty: Faculty members should ideally have strong academic backgrounds and industry experience in data science. A lower faculty-to-student ratio often allows for more personalized attention. Teaching Methods: Effective teaching methods might involve a combination of lectures, practical exercises, and hands-on projects. Faculty should be approachable, engaging, and responsive to students' needs. Timeliness of Exams: Timely term exams and result publication are crucial for smooth.

college: 4.5/5
course: 4.5/5
internship: 4.5/5
campus life: 4.5/5

SJ
4.5 /5

Course Curriculum Overview:

I chose this course because the syllabus resembles with CSIR NET syllabus. Teachers are well experienced and qualified. Exams are difficult to pass and commence every semester. For 77 students there were 17 staff members.

college: 4.5/5
course: 4.5/5
campus life: 4.5/5

TS
3.3 /5

Placement Experience:

There is very few so-called campus placement here. Placements are mainly from IITs and NITs. Here if You are interested in research then only come. Even the students don't think of placements here because It's not a good place for placements.

placement: 1.5/5
college: 3.5/5
course: 4/5
campus life: 4/5

SG
4.3 /5

Placement Experience:

Mostly the Pharmaceutical and Edtech companies visit the campus for placement in our particular branch. And they offer entry-level salaries from generally 5-10 lakhs per annum. Whereas if you are adopted with good coding skills, there are many more opportunities for students upto 30 laks or so, that depends upon your desirability. Mainly students with keen on researches and higher education, join this course every year. Hopefully, I would also like to pursue higher studies, PhD, after the Masters is completed.

placement: 4/5
college: 4/5
course: 4.5/5
hostel: 4/5
interview: 5/5
internship: 4/5
campus life: 4.5/5

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