I think it's better to learn big data. First of all, at present, computer science and technology and big data are relatively hot. These two majors are not good or bad, and they are also very closely related. At present, computer major is also one of the main majors to train big data graduate students.

Big data major is one of the newly established majors, and the talent demand potential in the field of big data in the future is also relatively large, so choosing big data major is also a choice to adapt to the development of the times. Big data major is a typical interdisciplinary major, involving mathematics, statistics and computers, so the learning pressure of big data major is often greater, and the requirements of big data major on mathematical foundation are higher, which should be paid enough attention.

Big data majors require high practical scenarios and usually need the support of data centers, which is a great challenge for universities with relatively weak ability to integrate educational resources. Judging from the current demand for talents, big data technology is still in the initial stage of application, and the demand for talents in the industry often pays more attention to high-end talents. Therefore, when choosing a big data major, it is best to study for graduate students.

The computer science and technology major mainly aims at the knowledge in the computer field to set up the curriculum system. The overall knowledge is relatively wide, and students have more room to choose in the future. Whether you choose to go to graduate school or work, choosing this major is a relatively safe choice. In addition, because computer science and technology is one of the traditional computer majors, the curriculum system and practice scenes are relatively perfect, and students will also have a better learning experience.