January 1, 1970

STEM Majors Ranked by Salary and Job Growth in 2026

Here's a number that tends to stop people mid-sentence: recent computer science graduates reported a 6.06% unemployment rate in 2025 — nearly identical to fine arts majors at 6.1%. That's not a reason to avoid CS. The median career wage for CS workers is still roughly double most humanities fields. But it reveals something most "study STEM" advice glosses over: the label covers an enormous range of outcomes, from electrical engineers with 1.9% unemployment to biology graduates competing for lab roles that automation is quietly eliminating. The specific STEM field you choose matters as much as choosing STEM at all.

The Hidden Gap Inside "STEM"

The headline figure from 2024 BLS data is that the median annual wage for STEM occupations was $103,580, compared with $48,000 for non-STEM work. That gap is real and worth taking seriously.

But medians hide the spread. Mathematical sciences occupations are projected to grow 28.4% through 2033. Biological technicians are growing at 3%. Those aren't two versions of the same story — they're different stories entirely.

Here's a side-by-side look at how the major STEM clusters actually stack up:

STEM Field	Median Annual Wage	Projected Growth	Unemployment Rate
Computer Science / Software Eng.	$108,000–$113,000	35–40% (through 2033)	~6% for new grads
Electrical Engineering	$115,000	~7%	1.9%
Mechanical Engineering	$102,320	~9%	<2%
Civil Engineering	~$95,000	~6%	1.05%
Data Science / Math Sciences	~$100,000–$125,000	28–36%	Low–moderate
Cybersecurity / Info Security	$108,000–$170,000	29% (through 2034)	Low
Biological Sciences	$50,000–$75,000	2–4%	Moderate–high
Nursing / Healthcare STEM	$128,000–$214,000 (NP)	~6–9%	1.42%

The pattern is clear once you see it laid out. Engineering and technology fields dominate both the salary and growth columns. Life sciences lag, sometimes badly.

Computer Science and Software Engineering: High Ceiling, Real Tradeoffs

The National Association of Colleges and Employers (NACE) projects a starting salary of $81,535 for Class of 2026 computer science graduates — a 6.9% increase over the previous year's projection, the largest jump of any discipline tracked. That's not a rounding error. That's a signal.

Median career wages for CS and software engineering roles land between $108,000 and $113,000. At senior levels or in specialized AI/infrastructure roles, total compensation climbs considerably higher when equity is included.

The tradeoff is the entry-level squeeze. New CS graduates now represent less than 6% of tech hires, down sharply from pre-pandemic levels. Companies froze traditional software headcount while still adding experienced engineers and specialized AI talent. So the wage data looks strong because the people being counted are experienced. For new graduates, it's a tougher market than the aggregate numbers imply.

Where demand is genuinely robust right now: machine learning engineering, data infrastructure, cloud security, and AI tooling. A CS graduate who built real projects in those areas during school is in a different position than someone with a generic programming credential.

Engineering Disciplines: The Consistent Performers

Eight of the top ten most valuable college degrees measured by salary and low unemployment are engineering disciplines, according to Bankrate's analysis of major-level labor market data. That's not a coincidence.

Electrical engineering leads on salary with a median of $115,000 and an unemployment rate of 1.9%. Mechanical engineering sits at $102,320 with about 9% projected job growth. Civil engineering posts the lowest unemployment rate of any engineering category at 1.05% — a number that might surprise people who think of civil as the "boring" option.

The reason engineering holds up so consistently comes down to what these graduates build. Power grids, chip architectures, transportation infrastructure, water systems. These projects require physical expertise that doesn't get replaced by a chatbot writing code. Electrical engineers working on semiconductor design and grid modernization are in a structurally different labor market than junior software developers.

One honest tradeoff: engineering degrees are harder to pivot from than CS. A computer science graduate can slide into product management, data analysis, or technical writing with reasonable friction. An engineer who wants to change careers (outside of technical management) often faces a steeper transition. You're buying consistency at the cost of flexibility.

Data Science and Cybersecurity: Where the Actual Growth Is

This is where the growth numbers get genuinely striking. Data scientists are projected to grow 36% through 2033, according to BLS. Information security analysts follow at 29% through 2034. Mathematical sciences as a category posts the fastest growth rate of any occupational group BLS tracks — 28.4%.

Cybersecurity deserves particular attention as a career choice. Salary ranges run from $108,000 to $170,000 depending on specialization, and the demand driver is different from general tech hiring. Companies don't hire security engineers because the economy is booming. They hire them because systems got breached, or compliance requirements force the investment, or a government contract mandates specific certifications. That's a more durable signal than "we're growing and need developers."

"The fastest-growing STEM occupational category through 2033 isn't computer science — it's mathematical sciences at 28.4%. The data science boom follows closely at 36%, though projections assume sustained AI investment ROI across industries."

For students weighing data science specifically: the high growth projections carry a caveat worth reading carefully. That 36% assumes current AI investment translates into sustained productivity gains. Some enterprises are already scaling back data teams at the middle tier as AI hype cycles cool. Projections for newer fields are inherently less stable than projections for established ones. The math skills, though, transfer to whatever comes next, which is the real hedge.

Actuarial science (often overlooked in these conversations) earns a median around $125,000. For students who want quantitative work with lower career volatility than data science, it's one of the stronger bets available.

Biological Sciences: The Degree Worth Thinking Twice About

Nobody in the standard college-advising ecosystem wants to say this plainly, so I will: a biology or environmental science undergraduate degree is the weakest direct employment credential in STEM, by a significant margin.

Biological technicians are growing at roughly 3%. Microbiologists at 4%. Clinical laboratory technologists at about 2%. These are at or near the national average for all occupations — nowhere near the "STEM is booming" narrative. Meanwhile, automation is replacing the entry-level lab work these graduates historically depended on. Sample preparation, routine titration, basic data entry: tasks that once absorbed new biology grads are increasingly handled by robotic systems.

This isn't an argument against studying biology. It's an argument for being honest about what comes next. Biology undergrads who continue to medical school, pharmacy school, or graduate programs in high-demand areas (immunology, genomics, computational biology) have excellent prospects. Biology undergrads who stop at the bachelor's level expecting a well-paying STEM job are often disappointed. The credential alone isn't doing the work it was 20 years ago.

The clear exception: computational biology and bioinformatics graduates blend coding skills with biological domain knowledge in a way the market genuinely values. Their salaries trend toward the data science range, not the lab technician range. If biology is where your interest lies, this is the specific path that holds up.

Healthcare STEM: Maximum Stability, Long Structural Tailwinds

Nursing sits at the top of nearly every employment ranking, with an unemployment rate of 1.42% — lower than any engineering discipline in comparable data. Advanced practice roles like nurse practitioners and certified registered nurse anesthetists earn between $128,000 and $214,000 annually (NPs alone account for a meaningful share of that upper range).

The structural driver here is demographics, not a short-term shortage. The median age of registered nurses in the U.S. is currently 52. Roughly 20% of the existing workforce is expected to retire within the next decade. And 92% of baby boomers are managing at least one chronic condition, which keeps demand high at both ends of the pipeline. You can't offshore bedside care, and you can't automate patient assessment the way you can automate a lab titration.

For students who want reliable employment more than a high salary ceiling, healthcare STEM offers something the tech sector genuinely cannot: predictable demand for at least the next two decades. A new grad nursing hire in 2026 is walking into a structurally undersupplied labor market. A new grad software hire is walking into a structurally oversupplied one, at the entry level.

A Framework for Picking Your Path

Before committing to a major, it helps to get clear on what you're actually optimizing for. Here's a straightforward way to think through it:

Highest salary ceiling: Computer science or electrical engineering. Accept that entry-level competition is real and build a portfolio, not just a diploma.
Most consistent employment: Civil or mechanical engineering. Strong floor, reliable demand across economic cycles.
Fastest growth trajectory: Data science or cybersecurity. Higher upside, slightly more volatility in projections.
Long-term stability above all: Nursing or advanced practice healthcare. Demographics guarantee demand regardless of economic conditions.
Interested in biology: Plan explicitly for graduate or professional school, or specialize in bioinformatics from day one.
Quantitative work with low career risk: Actuarial science or statistics, especially if paired with programming skills.

The pattern across all of these: the STEM fields that reward you most are the ones tied to physical infrastructure, critical systems, or irreplaceable human care. The ones that disappoint are the ones where routine work is automatable and the degree alone doesn't differentiate you.

Bottom Line

STEM's $103,580 median wage is real, but it's an average across fields with wildly different outcomes. Engineering and technology sit at one end; biological sciences sit at the other.
If you want the highest starting salary, NACE data points to CS and computer engineering at $81,535 and $82,565 respectively for the Class of 2026.
If you want the fastest job growth, data science (36% projected through 2033) and cybersecurity (29% through 2034) are the standouts — with the honest caveat that data projections for emerging fields carry more variance.
Biology without a graduate school plan is the STEM major most likely to disappoint. Bioinformatics is the exception.
Nursing remains the single most employment-secure STEM-adjacent credential available, driven by an aging workforce and aging patient population that no technology trend changes.

Pick based on your actual priorities — salary ceiling, job security, or growth rate — not on the generic "STEM is good" advice, which is accurate in aggregate and nearly useless at the individual level.

Frequently Asked Questions

Which STEM major has the highest starting salary?

According to NACE's 2026 projections, computer engineering graduates top the list at a projected starting salary of $82,565, with software engineering at $82,536 and computer science at $81,535. Electrical engineering and mechanical engineering follow closely. These figures represent bachelor's degree entrants without graduate education.

Is computer science still worth it given the tech layoffs?

Yes, but with nuance. Median career wages for CS roles remain between $108,000 and $113,000, and job growth projections through 2033 are strong. The real challenge is the entry-level market specifically: new grads now represent less than 6% of tech hires, down sharply from pre-pandemic norms. Graduates with internship experience, strong portfolios in AI or cloud work, and specific technical skills (not just a CS diploma) are finding jobs. Those relying on the degree alone are finding it harder.

Is a biology degree worth it for employment?

At the bachelor's level, it's the weakest direct employment credential in STEM. Biological technicians and microbiologists are growing at 2–4% — near the national average for all jobs. If you plan to attend medical school, pharmacy school, or a research graduate program, biology works well as preparation. If you're stopping at the bachelor's level, bioinformatics or computational biology offers significantly better labor market outcomes than general biology.

What STEM field has the best job security?

Nursing posts the lowest unemployment rate of any STEM or STEM-adjacent field at 1.42%, driven by a structural workforce shortage (median nurse age is 52) and aging patient demographics. Civil engineering and cybersecurity also offer strong stability, each with unemployment rates well under 2% for experienced workers. These fields share a common thread: demand tied to systems and people that can't be easily automated.

Are data science salaries as high as engineering salaries?

Actuarial science and data science roles can reach and exceed engineering salary ranges, particularly at mid and senior career stages. Actuaries average around $125,000 annually, which matches or beats most engineering disciplines. Entry-level data roles tend to start lower than engineering and have more variance by industry. The highest data science compensation concentrates in finance, tech, and healthcare analytics.

What STEM major has the fastest job growth?

Mathematical sciences as a category leads at 28.4% projected growth through 2033, per BLS data. Data scientists specifically are projected at 36% growth, and information security analysts at 29% through 2034. These three represent the fastest-growing STEM occupational groups. Note that growth projections for newer fields carry more uncertainty than projections for established occupations with decades of historical data.