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Is a Masters degree mandatory for a high-paying Data Science position in 2024?


I am debating whether to spend money on a Masters in Data Science or just finish a few intensive bootcamps and get a portfolio ready. Does the industry still value the degree more than practical experience, or has the trend shifted toward skills-based hiring for senior roles?


   2024-06-22 in Data Science by Heather Brooks | 17412 Views


All answers to this question.


The trend is definitely shifting, but it depends on the company. Big Tech and Research Labs still often look for a Master's or PhD, especially for "Scientist" titles. However, many startups and mid-sized firms care more about what you can build. A strong portfolio demonstrating your ability to clean messy data, perform rigorous analysis, and deploy a model can often outweigh a degree. If you choose the bootcamp route, make sure it has a strong career services component and emphasizes real-world projects rather than just theoretical exercises or "clean" dataset practice.

   Answered 2024-06-24 by Rachel Howard


Have you looked into the specific curriculum of the bootcamps to see if they cover deployment and cloud tools?

   Answered 2024-06-25 by Brandon Lee

  • Yes, I am looking for ones that include AWS or Azure, as I've noticed most job descriptions now require some level of cloud competency alongside core modeling.

       Commented 2024-06-26 by Heather Brooks


Degrees provide a structured foundation, but hands-on experience via internships or Kaggle is often more impressive to hiring managers.

   Answered 2024-06-27 by Scott Morris

  • Exactly, Scott. I've hired people with just a Bachelor's because their portfolio showed they could actually solve business problems

       Commented 2024-06-28 by Rachel Howard



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