The phrase "no finance at all" is also very appropriate. Data science and big data this profession is indeed very hot, but he also depends on the school, the good school this profession is very strong, the ordinary one of this profession becomes very weak very weak.

Data Science and Big Data this major belongs to the computer, take our school's computer as an example, this professional course difficulty is more difficult, and need a lot of coding to stay up all night. I know this professional students, some time really is to stay up all night in the coding, and the loophole has always been there, constantly in the revision. Secondly, this profession is a little bit like liberal arts, requires a lot of memorization and recitation of many things, especially some strings represent the meaning of this is a pure science and engineering, that means that you have to have enough thinking to think, at the same time, this profession requires that there must be a certain foundation of mathematics, and the math that they learn is much harder than that of the average person. A lot, and a certain branch of math even catches up with math majors.

This profession is very much dependent on the school, the ordinary one of this profession to find a job is almost very difficult to unless your personal ability is very outstanding outstanding, but the double first-class school of this professional students out of this is very sought-after, at the same time they for the technical adaptability will be more powerful. So the better the school out of the students the more popular.