Columbia University
Computer Science
Masters
Application Details
- Institution
- Columbia University
- Program
- Computer Science
- Degree Type
- Masters
- Degree's Country of Origin
- Decision
- Not provided
- Notification
- on 30/07/2020 via Other
- Undergrad GPA
- 0.00
- GRE General
- Not provided
- GRE Verbal
- Not provided
- Analytical Writing
- 0.00
- Notes
- TTPB: I am an alumnus of Johns Hopkins CS and now I am in Columbia Univ. To answer your first question, I would choose JHU MS in Data Science over Brown. There are several reasons. JHU's NLP and ML are very strong. Taking the core classes of the DS program will definitely be great. In addition, it is offered by the Department of Applied Mathematics & Statistics which is well ranked. Columbia's MS in CS program will give you the freedom to select courses, not only from CS but other departments like Statistics, EE, IEOR, Applied Physics & Mathematics. Columbia CS program's strength lies in systems, security, and ML. Columbia also has a dedicated Data Science institute closely affiliated with CS, if that is what you are interested in. Ultimately, you need to decide based on what you want out of the program. Either way is good. I must say Columbia's CS is very selective; acceptance rate is less than 10%. And you get to have proximity to the industry.
Institution Statistics
Acceptance Rate
40.3%
Avg. Notification Date
March 15
This data is estimated based on applicant submissions at The GradCafe.