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Which majors will become more and more popular? Which majors will get colder and colder?
It is hot and cold for college entrance examination students to apply for majors. In fact, hot and cold can be transformed into each other. For example, the popular major in the past has now become an unpopular major, and the unpopular major in the past has now become a hot one.

There are many factors that produce "hot spots", such as social psychology, values, employment situation and other external factors, as well as the blind obedience psychology and vanity of candidates. Now, let's review. How many years have the so-called hot spots been hot? It's just "three to five years".

Under certain conditions, cold and hot will be transformed rapidly, and with the rapid development of social economy, the transformation cycle will become shorter and shorter. For example, a few years ago, normal colleges and majors were left out. In the past two years, with the change of employment situation, normal colleges and majors have been "warming up", while once hot financial colleges and majors have been "cooling down" day by day.

For another example, in the past, communication and archaeology were not favored by candidates, but now they are hot; The hot majors of finance and international trade in recent years are not as prosperous as in previous years; Agriculture and forestry majors such as animal science and animal medicine, which were once called unpopular majors, have become popular majors with promising prospects in the eyes of candidates because of the excellent employment situation in recent years. Even the enduring English major and computer major are not as popular as in previous years, because all majors have to learn English and computer, and English and computer are only basic subjects. Such graduates can only be more competitive in society if they master other majors and have good English and computer skills.

Talent training has a certain periodicity. It's hard to say what will happen to a major that looks good at present in a few years. Who can guarantee that the hot major is "the sun that never sets?"

We need a long-term vision and advanced awareness of the times to look at the hot and cold changes and development prospects of our major.

Whether it is cold or hot, interest is king.

Many candidates have encountered such a difficult problem when volunteering to fill in the college entrance examination: should I choose the general major of a good school or the popular major of an ordinary school? There are still many people who have this knowledge: undergraduate students choose schools, master students choose majors, and doctoral students choose tutors. I said: Interest comes first. Regardless of the east, west, north, south, wind, cold and heat, you must rely on your personal interests to fill in your volunteers. A person will feel happy only if he is interested in his major, even if his income is low.

At present, some candidates do not have their own opinions when filling in their volunteers. They follow the trend, chase hot spots, and mistake these hot spots for interest. As a result, there has been a "two worlds" in which popular majors are getting hotter and hotter and unpopular majors are getting colder and colder. In fact, the tuition fees of different majors in colleges and universities are different now, and the price of tuition fees can reflect the market value of majors to some extent. Therefore, the tuition fees of popular majors are higher, while those of unpopular majors are relatively lower. The cost of applying for agronomy and normal education is lower than that of art, so the price of major should also be considered by students and parents.

You should also have a sense of risk when applying for hot majors. Because it is a popular major, many excellent people gather together, so it is difficult for them to stand out and they will not stand out. Coupled with the overheating of popular majors, there will be oversupply. This is a historical lesson. A few years ago, everyone was trying to learn accounting. Many universities, including some science and engineering colleges, have set up accounting majors at all levels. Within two years, there was a surplus of talents, and the popular major became an unpopular one.

Therefore, the author warns candidates to calmly analyze when choosing to volunteer: what are my interests, hobbies and specialties? Which subject do I like best? Is it better to use your hands or your brain? Which is more advantageous, image thinking or abstract thinking? What is my ambition? Which major do you love? These are all factors that can't be ignored when choosing professional volunteers.

Generally speaking, colleges and universities are willing to have candidates who show their relevant expertise under the same conditions when they are admitted. For example, a candidate loves literature, has outstanding achievements in Chinese and has published many literary works. If you apply for Chinese language and literature, you may be admitted to this major as long as your total score reaches the shift line of a voluntary school.

Judging from the reality, due to the differences in employment status, working conditions and treatment of various majors in the future, some candidates blindly pursue popular majors, while others pursue affordable majors and neglect to give up their hobbies. Unfortunately, it is not advisable, and they may regret it for a lifetime in the future.

Some people say artificial intelligence, but the artificial intelligence application scenario is not as good as JAVA big data, and the artificial intelligence scenario needs the application of JAVA big data. Just look at the JAVA big data with the most jobs. Some people say that machine learning algorithm is artificial intelligence. Is there a landing scene? But have you developed the recommendation algorithm for most landing e-commerce? Moreover, machine learning is mostly classical algorithms, many of which are based on mathematical statistics of probability theory, such as the theorem of large numbers, but it is precisely based on big data. For example, the association algorithm Apriori is based on probability theory. The more sample data, the higher the prediction accuracy, which accords with the law of large numbers. It is recommended to learn big data well before excessive artificial intelligence.

How to learn? Personally, I feel that the curriculum in many colleges and universities is unreasonable. Originally, the JAVA ecosystem system was the foundation, but there was no JAVA ecosystem in their software engineering, just a traditional theoretical course. I don't object to the theory, this is the essence. Even I learned the principles of computer composition, compilation, data structure and algorithm very well, and I got high marks in previous exams. What I want to say is that big data majors are especially inseparable from the JAVA ecosystem.

Now artificial intelligence is on fire, but I feel a little empty. Many places are tinkering with python language, completely ignoring the basic support behind artificial intelligence: probability theory and mathematical statistics, operational research, algorithm design, pattern recognition foundation, intelligent sensor principle and so on. And many landing scenes are based on big data. Robots? I admit that robots have landing scenes, but their independent innovation is weak.

After 95 and 00, of course, it is best to take the software engineering and big data majors; Non-computer science and engineering majors, such as mechanical automation and electrical automation, are recommended to study for a second major or a second degree. Do you have time? No, many science and engineering majors overlap with many basic courses, including specialized courses. At worst, can you teach yourself JAVA? Every sentence written by liberal arts students in JAVA code is practical and not impetuous. In fact, if the time is well coordinated, you can get a double degree, such as mechanical automation, computer science and technology or artificial intelligence (still under construction), software engineering and JAVA big data. With a double degree, you will find that your vision and choices are very wide. In the future, you will belong to a society of continuous learning and innovation, otherwise you may really be eliminated by machines.

The increasingly popular majors are mainly determined by the development of society, while the increasingly unpopular majors mean that there is not much social participation. Choosing a good major can make you better.

I really want to go to the iceberg. I am old

Marxism-Leninism, literature, history and philosophy have all faded. Subjects that can't bring immediate economic benefits are no longer sought after by young people. Linked to employment, hot majors linked to money. The whole society is chasing money, and slogans are constantly shouting: Don't lose at the starting line ... High-rise buildings and luxury goods abound in schools, and the number of graduates trained by schools is gradually increasing. .......