fortune.com⁠54%

Want to earn nearly $100⁠62%

By Orianna Rosa Royle⁠0%

7/12/2026, 12:15:15 PM

BS Summary: This article contains 0 faulty reasoning types, including no named faulty reasoning patterns yet, with no single egregious example has been isolated yet. Analysis detected 0 faulty-reasoning hits from 746 analyzed words, generating a BS Score of 58.5% and a BS Rank of ⁠62% (5,790 of 15,051 articles). This article is worse (more manipulative) than 61.50% of the article peer group.

With college setting students back an average of $38,270 per year, young people today are banking on their college degree opening doors to more than house parties and sororities—specifically, to top-paying jobs. But whether they succeed at this depends greatly on what they choose to study. That’s because one major study from the New York Federal Reserve shows that those wishing to earn the big bucks after college may want to consider studying some form of engineering. Even though it typically costs the same to study psychology as it does computer science, the research revealed 80% of the top 10 college majors with the highest incomes five years after graduation are engineering degrees, highlighting the trend toward technology industries in recent years. The New York Fed studied the labor market outcomes of college graduates depending on their major—and computer engineering grads came out on top with an annual median salary of $80,000 within five years of tossing their graduation cap in the air. Those who studied liberal arts or humanities are earning half of what engineering grads take home Even within the field of engineering, not all degrees are equal. Those with more specialist engineering qualifications, like aerospace engineering, electrical engineering, and industrial engineering, end up earning slightly more than generalists. Meanwhile, the only non-engineering degrees to make the list are the engineering-adjacent computer science—which ranked third with a median early career wage of $80,000—and finance. Although the latter just about made the list at number 10, 22 to 27-year-old finance grads can still expect to take home an impressive $70,000 per annum. By contrast, those majoring in the liberal arts or humanities can expect to earn around half of those studying engineering. Within five years of graduating from college, theology and religion, performing arts and liberal arts grads—which tied for the top spot of the major which pays the worst after college—earn $38,000 a year on average. What’s more, although previous research has shown that a degree in the medical field is generally the golden ticket to the big bucks , miscellaneous biological science, treatment therapy, and nutrition sciences are included on the list of low-paying majors—all three pay early career starters up to $50,000. For context, the U.S. personal median income (which includes 15-year-olds and those without a degree at all) is $45,180 . Degrees that pay the most in the five years after college Computer engineering—$90,000 Chemical engineering—$85,000 Computer science—$87,000 Aerospace engineering—$85,000 Electrical engineering—$82,000 Industrial engineering—$83,000 Mechanical engineering—$80,000 General engineering—$75,000 Miscellaneous engineering—$75,000 Finance—$70,000 Degrees that pay the least in the five years after college Fine arts—$45,000 Elementary education—$45,000 Early childhood education—$45,000 Biology—$45,000 Art history—$45,000 Anthropology—$45,000 Performing arts—$44,000 Social services—$43,000 Theology and religion—$41,600 Pharmacy—$40,000 Even if you’re studying engineering, don’t set your standards too high Think an engineering degree at an Ivy League college will automatically make you successful? Think again. Although certain degrees may increase your odds of landing a high-paying job, don’t bank on it; Nvidia cofounder Jensen Huang thinks setting your expectations too high at college actually makes it harder to succeed in the real world. “People with very high expectations have very low resilience—and unfortunately, resilience matters in success,” Huang said during an interview with the Stanford Graduate School of Business . “One of my great advantages is that I have very low expectations.” “I don’t know how to do it [but] for all of you Stanford students, I wish upon you ample doses of pain and suffering,” Huang said. “Greatness comes from character and character isn’t formed out of smart people—it’s formed out of people who suffered.” A version of this story originally published on Fortune.com on March 25, 2024 . Read more on careers from Fortune’s Orianna Rosa Royle: Despite degrees being slammed as ‘useless’ by Gen Z, data shows graduates have had the lowest unemployment rate of anyone for the last 20 years Ex-Facebook exec Sheryl Sandberg says the 10-year career plan is dead thanks to AI : ‘Don’t script your career when the future is uncertain,’ she warns Gen Z $7.2 billion AI CEO gets thousands of job applications a day but still can’t find candidates with a strong work ethic Samsung’s UK exec admits work-life balance is a myth: ‘Anyone who tells you otherwise is either very lucky or not being entirely truthful’ Arianna Huffington says, ‘If you can finish everything before you go to sleep, you don’t have an interesting enough job’ This story was originally featured on Fortune.com

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Status Quo Bias
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Sunk Cost Effect
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Optimism Bias
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Self-Serving Bias
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Fundamental Attribution Error
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Actor-Observer Bias
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Halo Effect
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Horn Effect
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Recency Bias
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Blind-Spot Bias
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Straw Man
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Appeal to Authority
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Slippery Slope
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Circular Reasoning
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Hasty Generalization
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Bandwagon
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Appeal to Emotion
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No True Scotsman
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Middle Ground
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746 words analyzed.

Speakers

3speakers18%attributed speech615writer words
Selected voice

Jensen Huang

0%flagged-word coverage
83 attributed words63% of attributed speech0% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.