Big Data is called or formed a profession, but it is only in recent years, then the school set up this specialty is also to cater to the future development of talent needs. As for whether the theoretical teaching of big data is matured, it is actually still on the way. It is not possible to evaluate this incompletely mature specialty with "how". Because it has not yet shown excellent social benefits and achievements, only mature professions that have benefited mankind can say "how". Let's take an analogy: a newborn child, some people say that this child will be very good in the future, is obviously boasting, not realistic, do you think it makes sense? Only when this child grows up and produces excellent results can people say that this child is very good. A new product, realistically speaking, there are advantages and disadvantages, maybe it can become a big business, maybe gradually fade out of society or commonplace. No one can predict the future of a technology or invention that will be the complete savior of the world for all eternity. The inventions and technologies that can become saviors are currently probably electricity is one of them. When the compass, movable type printing gradually became history, and even the information society began the era of paperless office, electricity still penetrated into every aspect of human life, indispensable, and not eliminated after a hundred years, so we can say how to study this specialty. If there are scores into the Armed Forces Engineering University, it is recommended that you might as well go to apply for the Beijing Institute of Technology University, Beijing University of Aeronautics and Astronautics and other prestigious schools. The employment rate of those very mature majors is also very high. Almost 100%. China's famous big scientists come from those universities, not from the school you asked about.