What Students Say
Likes
- MS Data Science program is a well know program by Columbia University with renowned and distinguished Professors.
- The courses, both academic and professional developmental helped me learn more about myself - my strengths and weaknesses and how to build a work oriented lifestyle which would help me in the long-run.
- The college campus is ecstatic, and the libraries provide a beneficial space to study with a clear mind and focus. I like the way events are organized and students are encouraged to pursue their goals.
Dislikes
- I do not like the location of the university as it in not in the middle of a happening area. Although it stretches various streets in New York City, it is not an eventful place. This is the only aspect which I do not like.
Required Exams for Admission
Very good infrastructure, renowned professors and a smart cohort, in a gist.
Course Curriculum
The course curriculum is hectic I would say, as the program is structured for 1.5 years only. The syllabus is industry oriented and updated to current trends(chatgpt is included in the syllabus).
Faculty
Prof vijay Pappu is a good professor who taught applied machine learning from interview and research perspective.
Campus Life
There are various campus connections, sports like gym, basketball, yoga etc which is of use to the students and faculties. There is wifi on campus throughout.
Placement
Apple, Google and Amazon are campus partners. There are various startups which attend the career fairs. Placement process happens through career fairs where students are expected to submit their resumes.
Accommodation
Average rent off campus in New York city is $1400.
Exams
GRE 316/340 TOEFL 100/120 Only two exams - GRE and TOEFL for US University Admissions SOPs - A quick summary of your achievements and motivations to take up the program LORs - three recommendation letters highlighting your experiences in the field of interests.
Fees
$92,000