First of all, mathematics and physics have an important influence on computer major, because software research and development is ultimately a mathematical problem, while hardware research and development is ultimately a physical problem, so it is of great significance for computer major students to learn mathematics and physics well. Many graduate tutors majoring in computer also prefer students majoring in mathematics and physics. It is also a good choice for undergraduates majoring in mathematics to choose big data and artificial intelligence during their graduate studies.

Of course, with the continuous development of the IT industry, the difficulty of software development is also declining, and a large number of application-level development posts do not have high requirements for mathematics, such as front-end development, mobile terminal development, Web development and so on. There are not many places involved in mathematical knowledge, so even if the mathematical foundation is weak, you can engage in software development at present. However, if you want to engage in the R&D position, you need to have a solid mathematical foundation.

It is the era of big data and artificial intelligence. Big data and artificial intelligence are typical interdisciplinary subjects. The basic knowledge of big data includes three aspects, namely mathematics, statistics and computers, while artificial intelligence involves more basic knowledge, including philosophy, mathematics, computers, economics, neurology and linguistics. Therefore, mathematics is more important if you want to engage in the development of big data and artificial intelligence.

With the gradual transformation of cloud computing services from IaaS to PaaS, the software development mode is also changing, and some basic development tasks will be gradually integrated (scenario development). In the future, a large number of application-level development programmers will face the problem of job promotion, and mathematics is one of the key factors for job promotion. Especially in the future, the adoption of artificial intelligence products will replace a large number of primary development posts, and the work content of programmers will further develop in the direction of technological innovation, and the technological innovation of IT industry depends largely on mathematical knowledge.