While prior educational qualifications in relevant fields helps in becoming a data scientist. It is not a mandate in any way. For becoming a data scientist, a candidate must be aware of the basics of statistics and mathematical algorithms, be aware of the basics of software engineering, and be self-motivated and patient to learn new tools, technologies and evolving methodologies & algorithms to implement them on real-world data. An undergraduate degree in mathematics, statistics or even computer science & engineering could be a brilliant starting point; post which candidates need to learn scripting languages and statistical algorithms to take it forward.