China has 757 officially recognized undergraduate majors. When a student sits the Gaokao and needs to fill out a university application, they’re choosing from 757 options with very different trajectories — in terms of employment, income, and exposure to AI disruption over the next decade.
There’s no single right ranking. “Best” depends entirely on what you’re optimizing for. Best for lifetime earning potential is different from best for job security, which is different from best for someone interested in working internationally, which is different from best for someone who wants to stay in their hometown.
I built thirteen separate ranking lists — each optimized for a different set of priorities.
What the Rankings Cover
Best Overall — a composite score across employment rate, salary potential, career trajectory, and AI resilience. This is the general-purpose list for people who don’t have a specific filter in mind.
AI-Resistant Picks — majors where the core work is least likely to be automated or significantly disrupted by AI over the next ten years. This includes fields requiring physical presence, complex human judgment, interdisciplinary integration, or where the cost of error is high enough that automation is unlikely to be trusted.
AI Editor’s Choice — my own selection of majors where AI actually enhances the field rather than threatening it. These are programs where knowing how to work with AI tools creates a significant advantage, rather than where AI creates a direct threat to employment.
Category Rankings — ten separate lists organized by academic domain: engineering, medicine, science, economics, law, arts and design, education, agriculture, management, and humanities. These are for students who already know their broad field and want to identify the strongest options within it.
How the Scores Work
Each major is scored across five dimensions: employment rate, starting salary, salary trajectory, AI disruption risk (inverted — lower risk means higher score), and career clarity (how direct the path is from degree to career).
The scores are drawn from published employment data, salary surveys, and the career database that covers 259 career paths cross-linked with the major data. The AI disruption assessments are based on the type of work each field primarily involves.
Weights can be adjusted — the ranking interface lets you put more emphasis on salary versus stability versus AI resistance, depending on your priorities.
The Honest Caveat
Rankings are models. Every ranking encodes assumptions about what matters, and those assumptions may not match yours.
The more useful way to use these lists is as a shortlist generator: find the majors that rank highly across the criteria you care about, then investigate those specifically. Use the individual major pages (which cover 757 programs in detail) and the career database to go deeper on the ones that interest you.
The 13 lists reduce 757 options to a manageable set. What you do with that set requires more than a ranking can provide.
What’s Updated
The data behind the rankings reflects mid-2025 market conditions and the current state of AI capability. As employment conditions shift — as some fields grow faster than expected, as AI affects some categories earlier than projected — the rankings will need updating. I’ll revise them annually.
Explore all 13 major ranking lists — best overall, AI-resistant picks, and 10 category rankings: [China Major Rankings →](https://ordinarymantrying.com/tools/best-majors-china-2025.html)
Which ranking dimension matters most to you when thinking about a major — immediate employment, long-term income, or resilience to AI? I’m curious what the actual split is among people making this decision.
Free Tool
13 ranking lists for China’s 757 university majors — best overall, AI-resistant, and 10 category rankings.
China Major Rankings →
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