What Students Say?
Likes
- Basketball court of our campus is one of the best as i love playing basketball and must say that ours is one of the best.
- Both the canteens are good and have uniformity in the taste.
Dislikes
- Biasedness prevails at the campus and it is not good at all.at all
Course Curriculum Overview
Data Science is a new stream but the kind of value it possess only time will tell. Exams are like monthly but soon mud semester starts and with blinking of an eye, we enter our final semester as well. So it's not easy going as every thing just happens too quick and in semester breaks the colleg urges us to find internships for gaining practical experience.
Placement Experience
All the multinationals from Bain Capitals to Black Rock and others which are asset management companies has been the best recruiters for Data Science student. Since not many students opt for Data Science getting from NHCE with an annual package of 10 lakhs or more is very easy from NHCE.
Loan/ Scholarship Provisions
Since I came through management quota yhe fees which is 2 lakhs or something, i had to pay 3 lakhs. Private colleges don't give freebies and therefore SC/ST students do get some off but not much. However, one shouldn't be complaining as fees may be high but facilities against that are also top notch.
Campus Life
I will have to start with our annual fest Sargam whose theme last year was Ramleela. It was one of the best event I have seen thus far in my life. I shared videos of that with my friends and every one applauded. Campus life here is quite good as even though I am an outsider, I have always felt accomodative here.
Admission
Since I am from Uttar Pradesh, i had no choice but come to Bangalore as for Dara Science, this is the best place to be. Sample size for everything is great and therefore the practical exposure is best here. Comed-K is one way of getting here or management quota. I gave Comed-K but couldn't qualify to get NHCE and therefore I applied through management quota. So, admissions here are either through entrance scores or management quota.
Faculty
Data Science needs special atrention as everyday we have some changes or new algorithms coming in. Hence faculties are mostly young as they too are learning with us. I have good camaraderie with my professors as I know I can bank on them for anything. Almost each one of them have done M.Tech and some are PhD degree holders too.
Comments