As far as the majors under the subject A are concerned, there is little difference in professional courses-except for top universities, ordinary schools can't make a particularly big difference in postgraduate professional courses, and the following research directions are generally not investigated when they are employed, so there is little difference in overall employment.

Of course, theoretically. Educational data mining seeks knowledge from a large amount of data, which is compatible with big data and has broad prospects. But if you want to learn this direction well, you need to learn more in-depth statistical knowledge, which is very demanding and difficult to learn.

At present, the intelligent teaching system ICAI is mainly based on data mining technology. It is difficult to provide intelligent teaching through a large amount of data analysis, and the theory is promising.

Equipment development, the mainstream is the development of e-books, which requires high hardware and computer technology, is difficult to learn in practice and is good in theory.

Teaching and training is a traditional research category, which may be theoretical, and there are few requirements for mathematics in course learning.

But generally speaking, it is difficult for a university to offer so many directions-how many experts in the field of educational technology are proficient in data mining and development? I don't know which school your goal is ... but the most conservative point is that there are only a handful of universities in China that can really offer so many directions.