MS in Data Science

The ever-growing popularity of a career in data science has led an astronomical surge in programs, degrees, and bootcamps targeted at students looking to enter the field. While the demand for data scientists continues to grow around the globe, grabbing a lucrative job as a data scientist is not easy owing to the increased supply of talents. Adding to this uncertainty is the current COVID-19 pandemic.

To answer your skepticism, GyanDhan is organizing a webinar “MS In Data Science: How to stand out from the competition in COVID-19 world!” in partnership with Galvanize Test Prep. The webinar will be held on Saturday 17th October at 06:00 PM IST. The speaker of the webinar will be Pavithra Srinivasan (Stanford University Alumna).

Highlights for the Session:

  • Where is Data Science headed in this COVID-19 world?
  • The Return on Investment (ROI) from an MS degree in Data Science from a good university abroad
  • Making your application stand-out as an applicant to a data science program.

About Speaker:
Pavithra graduated from Stanford University with a 100% Fellowship Scholarship in Electrical Engineering. She worked at various hi-tech companies in Silicon Valley and Kaplan in the U.S. She returned to India with a vision to revamp the Test Preparation space with a more personalized study based program and started Galvanize Test Prep.

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Please ask your queries here.

What kind of internships have more weightage for getting admits from good universities-internships under a professor or industry related experience?

If universities require some credits for example, statistics/programming but we don’t have those, is there a way around this and how can galvanise help in this regard?

What kind of internships have more weightage for getting admits from good universities-internships under a professor or industry related experience? Also having research papers or work experience will be helpful to do MS in DS even if we have graduated from non cs field?

If the university requires a credit then there is no other way around as it a pre-requisite for an admission.