First of all, learning computer is really stressful for three reasons. First, there is a large amount of computer-related knowledge and it is difficult to learn. Second, learning computer requires a lot of experiments and has certain requirements for the experimental environment. Third, the iterative speed of computer knowledge is relatively fast, and it needs to keep up with the development trend of technology.
At present, the number of computer-related majors is increasing with the development of technology. In recent years, many colleges and universities have also set up emerging majors such as big data, artificial intelligence and cyberspace security. Compared with traditional computer science and technology, software engineering and other majors, these emerging majors not only have wider knowledge, but also have higher learning difficulties. Therefore, students who choose these majors must be fully prepared.
Take the big data major as an example. In the knowledge system, big data involves mathematics, statistics and computers, as well as economics, finance, sociology and other disciplines. Therefore, studying big data during the undergraduate period will face great learning pressure. You must make a good study plan and have your own main direction, otherwise it will easily lead to mixed knowledge and affect your employment competitiveness.
Among many computer-related majors, computer science and technology (computer science) is one of the typical majors, and the scale of personnel training is relatively large. It is also a relatively safe choice to choose this major during the undergraduate period. Planning has two advantages. One is that the discipline system is relatively mature, and the other is that the knowledge is relatively wide. Therefore, during the undergraduate course, there is a large choice of planning major, whether it is employment or graduate school.
So we should choose the right major according to our own situation and hobbies.