What are the requirements for applying for the Master of Data Science in the United States?

First of all, the undergraduate is a student of computer science CS, and I am most qualified to apply, because most of the data work is done by programming and database, and I have studied statistics, calculus and advanced languages. For example, Harvard University's undergraduate background requirements for MSDS are: hope to have calculus, linear algebra, probability statistics and other related courses, and be able to use at least 1 programming language, such as Python or R, to understand computer science concepts.

Secondly, students with undergraduate background in statistics, mathematics or applied mathematics and a certain programming foundation can also apply, which are all good matching majors.

Finally, for business majors with strong quantitative background, such as metalworking, but want to choose STEM major, DS is obviously a very good choice. Therefore, if you have a strong programming background and a good mathematical foundation, then you are very competitive; For students with pure business background, if they don't have a strong quantitative background or don't know how to program, it is recommended to apply for the mixed application of data science DS and business analysis BA, because business analysis is more business-oriented, and it is offered in business schools, and the acceptance of business background is much greater.