What percentage of Data Scientists have a PhD?

Over 79\% of data scientists that list their education have earned a graduate degree, and 38\% have earned a PhD. The majority of data scientists come from STEM graduate-level backgrounds, with Computer Science, Statistics, Mathematics and Physics leading the way.

Do most Data Scientists have a masters?

A recent Burning Glass report, “The Quant Crunch”, found that 42\% of Data Scientist positions require a graduate degree. Analytics executive recruiters Burtch Works suggest that 88\% of Data Scientists have at least a Master’s Degree.

Do you need a master’s degree to become a data scientist?

To become a data scientist, one does not need to hold a master’s or Ph.D. Of course, with that said, it definitely helps. If you are one, who loved math and statistics during college, then perhaps getting your masters is worth the effort since it will be fun for you.

Is a PhD in data science right for You?

If you’re considering doing a PhD in Data Science, you’re going to have to decide whether you want to use your PhD to get a job as a data scientist, or to engage deeper in research and try to solve really complex, theoretical problems. This can be a challenging choice. Is PhD for you? Another thing is, whether a PhD is for you at all.

What is the difference between a master’s degree and a PhD?

A master’s degree gets you some of this training as well. That said, a PhD typically takes 5–7 years post-undergrad (or 3–5 post-master’s). There are also important skills and attributes that you’d be more likely to build up during that time in an industry setting:

How long does it take to get a PhD degree?

A master’s degree gets you some of this training as well. That said, a PhD typically takes five to seven years post-undergrad (or three to five years post-master’s).