Can I be a data scientist with an economics degree?

The answer here is a resounding “Yes!”. Roughly 13\% of current data scientists have an Economics degree. For comparison, the most well-represented discipline is data science and analysis, which takes up 21\% of the pie. Therefore, Economics is indeed a competitive discipline when it comes to data science.

Is Econometrics useful for data science?

Yes. Econometrics requires knowledge of statistics and programming just like a data scientist. Econometrics can be part of predictive analytics because it is used to explain economic phenomena. They work with large data sets just like a data scientist.

How to become a data scientist?

To go for a Data Science degree, you must be absolutely certain that you wish to become a data scientist. Other related fields like statistics or computer science provide greater flexibility in terms of professional development. These allow you to alter your trajectory if data science ends up being different from what you imagined.

Is data science or computer science better for data science?

Data Science and Computer Science are both fantastic choices for a degree. So, if you’ve already chosen one over the other, you’re already ahead of the game. However, we here at 365 Data Science have conducted research to determine which one is better for a successful career as a data scientist.

Can a computer scientist become a data architect or data engineer?

A computer scientist can easily transition into a data architect or data engineer job with the skillset they already have. We can say a change of heart is a non-issue for them. So, computer science is a preferable degree in this context. But let’s not get ahead of ourselves and compare the two.

Is economics and accounting a good major for data science?

The analytical skills provided in these programs may lack the mathematical rigor compared to programs like physics and mathematics, but a degree in economics or accounting will provide one with business skills, that are essential in the real world application of data science.