How to choose a major that suits you?

 

The college entrance examination season is here again, and the graduates are busy choosing their volunteers. Volunteering is a key decision that will have an important impact on their future study and employment. At this critical moment, some related questions follow: How to fill in the application form? Should I choose a major or a school? Which majors have good job prospects? What are the main considerations for college entrance examination volunteers?

First of all, voluntary reporting should be a process that comprehensively considers personal interests, abilities, and future development prospects. Ideals are beautiful, but at the same time we must also take into account the actual situation. What Zhang Xuefeng said, "Ordinary families should not only talk about ideals, but also talk about implementation" is very reasonable.

When filling out the volunteer form, we can proceed from the following aspects:

1. Self-awareness and interests: Know your own interests and strengths, and think about your future career direction and goals. Consider your disciplines and fields of expertise, and which majors or industries you have a strong interest in.

2. Employment prospects and development trends: understand the current social demand for different majors. Some popular industries, such as computer science, artificial intelligence, data analysis, etc., have broad employment prospects and may continue to maintain high-speed development in the future.

3. Disciplinary depth and breadth: Consider the disciplinary content and depth of the major. Are you interested in what you have learned, and are you willing to study and learn relevant knowledge in depth.

4. School and program reputation: The reputation of schools and programs partly reflects their teaching quality and employment competitiveness. However, it should also be noted that a high reputation is not necessarily the most suitable choice for you, and it should be considered comprehensively based on your personal situation.

At this time, I would like to recommend some popular majors, including computer science, software engineering, artificial intelligence, machine learning, data science, finance and economics, medicine, biomedical engineering, etc. These majors have good employment prospects and development potential. With the continuous advancement of science and technology and the continuous development of society, the demand for related industries will increase.

Of course, there are some majors that need to be avoided in voluntary reporting. For example, some overly popular majors are highly competitive and employment pressure is high. In addition, some short-term training majors may have relatively limited employment opportunities and need to be carefully considered.

Finally, I want to emphasize that when choosing a major, you must stick to your own interests and development goals. Don't blindly follow others or only focus on employment prospects, because only the majors that you are really interested in can persevere in pursuit and achieve better results and development.

To sum up, voluntary reporting is a process that requires comprehensive consideration of personal interests, employment prospects and development trends. I hope that the above suggestions can help graduates who are choosing majors and filling out their volunteers to make satisfactory decisions.

Code example:

def choose_major(majors, job_market):
    recommended_majors = []
    avoid_majors = []

    for major in majors:
        if major in job_market.keys():
            job_outlook = job_market[major]
            if job_outlook == "good":
                recommended_majors.append(major)
            else:
                avoid_majors.append(major)
        else:
            avoid_majors.append(major)

    return (recommended_majors, avoid_majors)

majors = ["Computer Science", "Finance", "Art History", "Biomedical Engineering"]
job_market = {
    "Computer Science": "good",
    "Finance": "good",
    "Art History": "limited",
    "Biomedical Engineering": "good"
}

recommended, avoid = choose_major(majors, job_market)

print("Recommended majors:")
for major in recommended:
    print("-", major)

print("\nAvoid majors:")
for major in avoid:
    print("-", major)

This code example demonstrates how to job_marketevaluate the employment prospects of different majors through a dictionary data structure. We pass in a list of majors majorsand job market data job_market, and then classify majors into recommended and avoided based on the job market data, and finally print out the results.