5 min
Data Science industry is one of the most attractive domains for making career moves. It requires a good balance of technical as well as business acumen and there are a lot of opportunities for professionals to explore in this space. While there are various job roles available in Data Science domain such as Data Architect, ML engineer, and more, there is often a question around what educational background can pave the way for a career in this field.
While Masters and PhDs in quantitative fields such as Math, Statistics, Computer Science or Engineering have been the most sought after qualifications, other qualifications such as MBA and MS in business analytics can also lead to a career in this field.
In this article, we explore how the two degrees face off in terms of course content, technical skills and which programme is best suited for offering a hands-on approach to analytical skills and methodologies.


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