AI Major vs Computer Science Major: How to Choose This Year?

"Computer Science or AI, which to choose?"

This is one of the hottest questions for this year's college entrance exam application.

Many students and parents are torn:

  • AI majors are the future trend, should I chase it?
  • CS majors are established and mature, more stable?
  • What's the difference between the two? What if I choose wrong?

Today, I'll help you sort it out once and for all.

I'm Coder Wanfeng, graduated from Computer Science, worked in the internet industry for many years, now teaching AI programming.

I have a say on this question.

1. First, Clarify: What Do AI and CS Majors Actually Teach?

What Does CS Teach?

Core courses:

  • Data Structures and Algorithms
  • Computer Networks
  • Operating Systems
  • Databases
  • Software Engineering
  • Compiler Principles

Keywords: Computer fundamentals, programming ability, systems thinking

What Does the AI Major Teach?

Core courses:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • AI Algorithm Optimization
  • Data Science

Keywords: AI algorithms, model training, data processing, intelligent applications

2. What's the Actual Difference Between Them?

Simply put:

CS major = Build the foundation
AI major = Build the house

CS teaches you underlying principles; AI major teaches you upper-layer applications.

But this isn't entirely accurate because:

  • Good schools' AI majors also teach CS fundamentals
  • CS majors also teach AI-related content

The key difference lies in the maturity of the curriculum.

3. What to Look At When Choosing a Major? These 3 Points!

Point 1: School Strength

Between AI major and CS major, school strength is the key.

If You Can Get into Top 985/211 Universities:

  • AI major is an option, as these schools' AI majors have mature curricula and strong faculty
  • But CS is more stable, since CS is a flagship major at these schools

If You Can Only Get into an Ordinary University:

  • Strongly recommend CS
  • Ordinary schools' AI majors are likely "old wine in new bottles," with immature curricula
  • CS at least gives you solid programming fundamentals

How to Judge:

  • Check if the major has an independent department
  • Check if there are master's/doctoral programs
  • Check if the faculty team has professors who actually do AI research
  • Check graduate employment outcomes

Point 2: Your Interest Direction

What are you more interested in?

If You're Interested in "How AI Works":

  • Like researching algorithms, models, theories
  • Enjoy the process of designing AI from 0 to 1
  • Want to develop in the AI research direction (master's/PhD)

→ Consider AI major

If You're Interested in "What AI Can Do":

  • Like using AI tools to solve practical problems
  • Want to develop products that apply AI
  • Prefer hands-on engineering over theoretical research

→ Consider CS major, with AI as an elective

Point 3: Employment Prospects

CS Major Employment:

  • Wide scope: Internet, finance, healthcare, education, manufacturing
  • Strong fundamentals: Can do anything with programming
  • Stable demand: CS talent has been in demand for 30 years

AI Major Employment:

  • Narrower scope: Mostly AI companies and AI research institutions
  • Higher salary ceiling: AI algorithm engineers can earn 2-3x more than ordinary programmers
  • Higher requirements: Most positions require master's or PhD

4. Final Word

There's no absolute "better" major.

The right choice depends on your school strength, your interests, and your career plans.

The most important thing isn't choosing AI or CS, but choosing a school that can give you a solid foundation.

After graduation, what matters isn't what's on your diploma, but the abilities you've actually built.

I'm Coder Wanfeng, with 400,000 followers across all platforms, creator of the open-source python-office library, focused on sharing practical Python and AI tips.

My personal website: https://www.python4office.cn — feel free to visit.