Why did you choose computer major? What are your plans for the future?

Nowadays, no matter work or life, many things need computers to complete, and the internet industry triggered by computers has covered the earth at an unimaginable speed, which is full of human life. Now, if you want to ask, "Is there a future in learning computers?" The answer is obvious: very promising!

Due to the rapid development of the IT industry, and the professional setting of the school has not kept up with the development of the market, the output of talents can not meet the market demand, resulting in a shortage of talents in the IT industry. In the past, people who used computers were all from work, but now the demand is rising sharply.

Whether learning computer is good or not, there are different opinions: the teacher suggested focusing on the following two points:

Look at the development prospect of the industry: under the background that China is leading the integration of informatization and industrialization and taking a new road of industrialization, IT industry has become a national pillar industry and a new economic growth point.

Second, look at the talent demand potential: high-tech enterprises supported by information technology will be the main force of future social and economic growth, and their talent demand will continue to be extremely strong. According to the number of carefree jobs in the future, the demand for IT jobs has accounted for about one-eighth of the total job demand.

There is a shortage of talents in IT industry, the salary is greatly increased, and the demand for personnel is on the rise. Xi' an Huayu International Computer Training Center closely follows the IT market demand, actively provides students with software development technology that meets the market demand, one-on-one career planning and employment guidance, and learns while working, realizing "T-type talents"+project experience+professionalism.

The prospect of computer specialty

First of all, generally speaking, computer science is divided into three directions, one is software-related direction; The second is the hardware-related direction; Third, the network-related direction, including some cross-direction majors.

Software-related direction can focus on software engineering and computer science and technology. On the one hand, the employment situation of these two majors is relatively good, on the other hand, the knowledge structure of these two majors is relatively mature, and the learning difficulty will be relatively small. If you want to work after graduation, you can focus on software engineering, and if you have the idea of graduate school, you can focus on computer science and technology.

Hardware-related direction can focus on electronic science and technology, which is also a big discipline, and there are many subdivisions below, mainly to cultivate hardware R&D talents. Judging from the employment situation in recent years, the performance of hardware specialty is generally inferior to that of software specialty, which is also a problem caused by the uneven development of the industry. It is believed that with the development of industrial Internet, the post salary and treatment in the hardware field will gradually increase in the future.

The network-related direction can focus on the network engineering major, and the network security-related major is also a good choice. Judging from the overall demand for talents at present, security-related network majors are generally hot. From the perspective of learning difficulty, the learning difficulty of network-related majors is relatively large. Many students mistakenly think that network major is relatively simple. In fact, network specialty is not only difficult to learn, but also involves a lot of experiments, which requires students' practical ability.

Finally, some interdisciplinary majors closely related to computer science are also good choices, including big data major, Internet of Things major and artificial intelligence major. The future development prospects of these majors are still very broad. If you have a good foundation in mathematics and a clear graduate program in the future, you can focus on big data and artificial intelligence.