Graduate Employment Rates by Field of Study

Choosing a field of study is one of the most consequential decisions you'll make. But with the job market evolving rapidly—shaped by AI adoption, economic shifts, and changing employer priorities—understanding which degrees actually lead to employment is critical. In 2026, graduate employment outcomes vary dramatically by field, with some sectors boasting 90%+ employment rates within six months of graduation, while others struggle to reach 70%. This comprehensive guide breaks down real employment data, salary outcomes, and AI impact across key fields of study to help you make an informed decision.

Which Fields of Study Have the Highest Employment Rates?

Employment rates tell only part of the story. A degree in a field with 85% employment might lead to roles paying $40,000, while a more competitive field could offer 78% employment but at $120,000+ median salaries. The data shows clear winners:

• Technology & Computer Science: 92% employment rate within 6 months. This includes software engineering, data science, and related fields. The Software Engineer role alone commands a $120K median US salary with +25% projected growth through 2026.
• Healthcare: 89% employment rate. Fields like nursing see consistent demand. A Registered Nurse earns $82K median salary with very-high demand and +6% growth, with roles resistant to AI displacement.
• Finance & Business Analytics: 84% employment rate. Financial Analysts earn $85K median salary with +9% growth, though increasingly augmented by AI tools.
• Engineering (non-software): 81% employment rate, with strong salary outcomes.
• Business & Management: 76% employment rate, more competitive given higher graduate volumes.

Fields like humanities, social sciences, and education fall below 70% six-month employment rates, though many graduates eventually find work—often requiring additional certifications or returning to school.

How Much Can You Earn Based on Your Field of Study?

Salary outcomes are perhaps the most tangible measure of educational ROI. Here's what 2026 data reveals:

Highest-paying fields: Data science graduates command the highest salaries, with Data Scientists earning $140K median US salary—a $20K premium over software engineers. This reflects the scarcity of data talent and the +35% projected growth in demand. Product Managers (often requiring 2-3 years experience post-graduation) earn $115K median salary with very-high demand and +12% growth.

Mid-range earners: Software engineers ($120K), financial analysts ($85K), and nurses ($82K) occupy the solid middle-to-upper income brackets. These roles combine decent pay with excellent job security.

Entry-level and lower-paying fields: Education, social work, and non-technical liberal arts graduates often start between $35K–$50K, though salary progression varies. The key insight: STEM fields universally outpay non-STEM fields by 30–200% in starting salary.

To understand how AI will reshape your earning potential in your chosen field, explore our AI impact analysis to see whether your role will be augmented or enhanced by technology.

What Is the AI Impact on Graduate Employment Prospects?

AI is reshaping employment outcomes faster than most graduates anticipate. Not all fields are affected equally:

• AI-resistant roles (growing despite or because of AI): Healthcare roles like Registered Nurse are resistant to AI displacement. Product Manager roles remain resistant because they require human judgment, client relationships, and strategic vision.
• AI-augmented roles (workers gain productivity tools): Software Engineers are increasingly augmented by AI—tools like GitHub Copilot boost productivity but don't eliminate demand. Financial Analysts similarly benefit from AI-powered analytics without wholesale displacement.
• High-risk roles (vulnerable to automation): Data entry, basic accounting, and routine administrative roles face the highest displacement risk. However, Data Scientists remain resistant because the field itself evolves with AI—demand grows even as tools improve.

The trend is clear: roles requiring creativity, emotional intelligence, complex problem-solving, or human interaction are more recession and AI-proof. Before committing to a field, check our AI readiness assessment to gauge how AI will affect your career trajectory.

Which Degree Paths Offer the Best Return on Investment?

Raw employment rates don't account for cost. A $200K computer science degree has different ROI than a $50K liberal arts degree—even if both lead to employment.

Best ROI fields (2026):

• Computer Science / Software Engineering: $120K median salary vs. $40K–$80K average student debt. Payoff in 2–3 years.
• Data Science: $140K median salary. Payoff in 2 years even with higher debt.
• Nursing: $82K median salary with lower degree costs (many are 2–4 year programs). Payoff in 3–4 years.
• Finance/Business: $85K median salary, moderate debt, 4–5 year payoff.

Lower ROI fields: Education degrees often cost $80K–$120K but lead to $35K–$45K starting salaries (12–14 year payoff). Liberal arts and humanities degrees vary wildly depending on the institution and student's ability to land post-grad internships.

Use our career analysis tool to calculate the true ROI of your chosen degree, accounting for salary, job growth, and demand in your target region.

How Can You Improve Your Employment Prospects Before Graduation?

Your degree alone doesn't determine employment. Here's what graduates who land jobs quickly have in common:

• Internships: Graduates with 2+ internships have 70% higher job placement rates. Intern experience is particularly valuable in tech, finance, and healthcare.
• Certifications: Supplementary certs (AWS, Google Cloud, CPA, etc.) boost competitiveness. Tech graduates especially should aim for at least one industry cert.
• Portfolio or contributions: For software engineers and data scientists, an active GitHub profile or published work is often more impressive than a 4.0 GPA.
• Networking: Alumni networks matter. Graduates who actively networked during school are 40% more likely to land jobs within 3 months.
• Upskilling in AI tools: As AI reshapes workplaces, familiarity with ChatGPT, automation platforms, and AI-augmented tools is increasingly expected. Consider our curated course recommendations to fill AI skill gaps before you graduate.

If you're uncertain about career transitions or need guidance retraining, our career transition planner can help you map a path forward.

What Government Support and Funding Is Available for Your Field?

Many fields offer underutilized funding and incentives that improve employment prospects:

• Healthcare: Nurses and medical technicians can access federal loan forgiveness programs and targeted scholarships. Rural placement bonuses are common.
• Education: Teacher education programs often qualify for federal loan forgiveness if you teach in underserved areas.
• STEM: Multiple federal initiatives support STEM degree completion and apprenticeships.
• Career-switchers: If you're pivoting fields, check whether you qualify for retraining grants.

Explore government training programs and use our funding eligibility screener to find support you may qualify for based on your field, location, and circumstances.

Frequently Asked Questions

What field of study has the highest employment rate?

Technology and computer science lead with 92% employment within 6 months. Healthcare follows at 89%, driven by consistent demand for roles like nursing. STEM fields generally outperform humanities and social sciences by 15–25 percentage points.

Do I need to earn a degree to get a job in tech?

No, but it helps. Many software engineers and data analysts have bootcamp training or self-taught backgrounds. However, a degree opens more doors at larger companies and improves starting salary. For most roles listed here—nursing, finance, psychology—a degree is legally or practically required.

Will AI eliminate jobs in my field?

Depends on your field. Healthcare roles like registered nursing remain resistant to AI displacement. Tech roles are augmented by AI, boosting productivity without eliminating demand. Data entry and routine admin roles face the highest risk. Use our AI impact tool to assess your specific role.

How long does it take to recoup student loan costs?

For STEM graduates earning $120K–$140K with typical debt of $30K–$60K, payoff takes 2–4 years. For education or social work graduates earning $35K–$45K with similar debt, payoff can take 10+ years. Calculate your specific ROI with our analysis tool.

Should I pick a field based on employment rates or salary?

Both matter, but weight them differently based on your priorities. High-employment, lower-salary fields offer job security. High-salary fields offer financial upside but may be more competitive. Consider also: work-life balance, job satisfaction, and whether AI will automate the role. A balanced approach considers all factors, not just employment rates.

Your choice of field of study is foundational, but it's not your only lever. Internships, certifications, networking, and upskilling in emerging tools like AI significantly boost employment outcomes regardless of your degree. As you evaluate fields, don't just look at 2026 employment rates—consider salary trajectories, AI impact, and your personal fit. Ready to explore a specific role in detail? Browse our job market insights by field, or analyze the career path that interests you most. Your future self will thank you for making an informed decision today.