2, computer science and technology - employment difficulty is the lowest in the computer profession, this profession is also the easiest to find a job. Although the counterpart rate is not very high, but the employment of this profession is very wide, interested in computers can be enrolled, regardless of boys and girls are the same, this specialty out when the code farmer is the most.
3, artificial intelligence professional - salary and development prospects and employment demand, or artificial intelligence is more popular. Artificial Intelligence is a very popular new engineering specialty in recent years, the development path is broader, the salary is also very high.
4, software engineering - a large number of applicants, the quality of employment is very good discipline. Software engineering attention is not low, in the computer class is also very popular, very worth applying for the discipline. However, the software engineering profession has a certain degree of difficulty, coursework is also relatively heavy, but learn well, this professional returns are also very high.
5, data science and big data technology - the current hot new engineering specialties, after graduation prospects are very good. Focusing on practice, the requirements for math skills are very high, so students who are not very good at math should be cautious about applying. The employment competitiveness of graduates of big data majors is relatively strong, because the employment demand in recent years is relatively large, the employment rate is still quite good.
The above is a popular subject direction, in addition there are Internet of Things engineering, network engineering, cyberspace security, digital media technology and other specialties are also computer majors standing subject direction.
Before choosing, you have to find out what are the various subject directions under the computer science major of the university you choose, what are the courses included in each subject direction, and whether it is the direction you want to choose before making a decision.