Cybersecurity vs Data Science: Career and Salary Comparison in 2026

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Cybersecurity vs Data Science: Career and Salary Comparison in 2026
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TL;DR

  • Cybersecurity analysts earn a median of $124,910 a year, based on the most recent Bureau of Labor Statistics wage data for information security analysts.
  • Data scientists sit close behind on the median at $120,230, but pull ahead fast at senior levels once machine learning and AI specialization enter the picture.
  • The BLS projects 29 percent job growth for information security analysts and 35 percent growth for data scientists over the next decade, both far above the 3 percent average across all occupations.
  • Python programming, SQL and data visualization, and cloud security are the skills showing up most often in higher paying postings across both fields.

Cybersecurity vs Data Science is the decision stalling thousands of career changers right now, and most of them are choosing based on outdated advice. You have probably heard “cybersecurity is easier to break into” or “data science pays more.” Both claims are half true, and believing the wrong half could cost you two years and a salary bump you never got.

Here is the problem. Job boards are flooded with generic listicles that compare 2023 numbers and ignore how fast both fields have shifted with AI adoption, remote pay bands, and certification inflation. You end up guessing with your career on the line.

This guide fixes that. On whatisthesalary.com, we pulled real 2026 BLS and Glassdoor data, broke it down by experience level, skill, and industry, and built the side by side comparison that actually answers the question: which path pays off faster for someone starting where you are right now.

Average Salary in 2026: What the Data Actually Shows

Cybersecurity analyst salary figures vary depending on who is reporting them, and that gap is worth understanding before you compare numbers. The Bureau of Labor Statistics tracks information security analysts as an official occupation code and reported a median wage of $124,910 in May 2024.

Glassdoor, which pulls from self-reported employee data, puts the average total pay for a cyber security analyst at $128,191 in 2026, with a typical range between $100,074 and $165,908.

Data scientist salary numbers show a similar pattern but land in a wider band. The BLS median for data scientists was $120,230 as of May 2025. Glassdoor’s broader data scientist listings average $208,074 in total pay, since that figure blends in senior titles, bonuses, and equity that push the number up.

The difference between these sources comes down to methodology, not disagreement. BLS numbers reflect base wages across the full national workforce, including smaller companies and non-tech industries. Glassdoor numbers skew toward tech hubs and self-selected respondents, who tend to work at higher paying employers.

MetricCybersecurity AnalystData Scientist
BLS median salary$124,910 (May 2024)$120,230 (May 2025)
Glassdoor average total pay, 2026$128,191/year$208,074/year
Typical pay range (25th to 75th percentile)$100,074 to $165,908$164,235 to $268,548
Projected job growth rate (next decade, BLS)29 percent35 percent
Typical entry pointBachelor’s degree, certifications carry real weightBachelor’s or master’s, often with Python and statistics coursework

For a full breakdown of cybersecurity pay by role, industry, and region, our cybersecurity salary guide for the US pulls together the full national picture in one place.

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Salary by Experience Level

Cybersecurity

Entry-level cybersecurity analysts typically start between $55,000 and $99,000, depending on location and whether the role is titled analyst or SOC analyst. Mid-level analysts with three to seven years of experience move into the $95,000 to $148,000 range. Senior analysts and specialists can clear $150,000, especially with certifications like CISSP attached.

We cover this progression in far more detail, tier by tier, in our cybersecurity analyst salary by experience level guide, including how SOC tiers map to pay bands.

Data Science

Entry-level data scientists generally start between $84,000 and $110,000 depending on the employer and whether the role leans more analytics or more machine learning. Mid-career data scientists commonly reach $142,000 to $165,000.

Senior data scientists average $234,409 according to Glassdoor, with total compensation climbing well past $300,000 at large tech companies once RSUs and bonuses are included.

Early career pay tracks fairly close between the two fields. The gap widens later, mostly because data science total compensation leans harder on equity at companies building AI products.

Cybersecurity vs Data Science: Career and Salary Comparison in 2026

Total Compensation, Not Just Base Salary

Base salary only tells part of the story in both fields, but especially in data science. Total compensation, often shortened to TC, includes base pay plus signing bonus, annual bonus, and equity such as restricted stock units.

A data scientist at a large tech company might see a base offer of $150,000 that looks modest on paper. Add a $30,000 signing bonus, $20,000 in annual bonus, and $60,000 a year in vesting RSUs, and the real total compensation is closer to $260,000.

Cybersecurity roles, outside of leadership tiers like CISO, tend to rely more heavily on base salary with smaller bonus structures attached.

If you are further along in your career and weighing what leadership pay actually looks like, our CISO salary guide breaks down how compensation structure changes once security becomes an executive function.

Specialized Roles and Where the Real Money Sits

Neither field is a single job title, and specialization changes the math considerably.

On the security side, a penetration tester earns differently than a SOC analyst, and a cybersecurity consultant’s pay structure looks different again once billable hours and client work enter the picture.

Security architects, for comparison, are typically offered around $25,000 more in base salary than general cybersecurity analysts, since they design the systems meant to prevent breaches rather than respond to them.

You can compare these paths directly in our penetration tester salary guide, our SOC analyst salary breakdown, and our cybersecurity consultant salary guide.

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On the data side, a machine learning engineer, a role that overlaps heavily with data science but leans more toward production systems and artificial intelligence, averages $164,241 a year according to Glassdoor, with senior and staff level ML engineers regularly clearing $190,000 to $220,000 in base pay alone.

Anyone comparing data scientist salary against machine learning engineer salary should know these titles increasingly blur together, and job descriptions matter more than the label on the offer letter.

Skills That Actually Move Your Salary

Job title explains part of the pay gap. Skills explain a bigger part.

Python programming shows up in the majority of both cybersecurity and data science job postings, whether it is used for automating security scans or building machine learning pipelines. SQL and data visualization tools remain non-negotiable for data roles, since most of the job involves pulling, cleaning, and presenting data in a way a non-technical stakeholder can act on.

Cloud security is the fastest growing skill demand inside cybersecurity right now, as companies move more infrastructure to AWS, Azure, and Google Cloud and need analysts who understand cloud-native threats rather than just traditional network security.

Certifications still carry real weight here. CISSP holders report earning $120,000 to $170,000 or more, and stacking two or three relevant certifications can outweigh raw years of experience without them.

For a ranked list of which credentials are actually worth the time and money in 2026, see our guide to the best cybersecurity certifications.

Breaking In: Degree, Bootcamp, or Self-Taught

Cybersecurity remains one of the more accessible high-paying tech fields for people without a traditional four-year degree, especially when certifications and hands-on labs fill that gap. Data science, by contrast, still leans heavily on formal education, since most entry-level postings expect at least a bachelor’s degree with statistics or computer science coursework.

If you are mapping out your own route in, our guide on becoming a cybersecurity analyst without a degree walks through what actually gets hiring managers to say yes. We also compare the tradeoffs directly in cybersecurity bootcamp vs degree, and lay out the broader trajectory in our cybersecurity career path guide.

Breaking In: Degree, Bootcamp, or Self-Taught

Industry and Company Differences

Where you work changes your paycheck almost as much as what you do. Pharmaceutical and biotechnology companies currently pay the highest median cybersecurity salaries, followed by aerospace, defense, and government contracting.

Finance and healthcare both pay well but for different reasons: finance pays for speed and regulatory exposure, healthcare pays for the sensitivity of the data being protected.

We break down exactly how those industries compare in cybersecurity salary in finance vs healthcare, and you can see how individual employers stack up in our cybersecurity salary by company guide.

Remote Work Reality in 2026

Remote roles have changed how both fields set pay. A growing number of employers now use national pay bands for remote security and data positions, which means someone living in a lower cost city can still land big metro pay without the big metro rent. That is a meaningful shift from just a few years ago, when location almost always determined the ceiling.

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If remote work is part of your plan, our roundup of remote cybersecurity jobs in the US covers which companies are actually hiring outside major hubs right now.

Which Path Should You Choose

If you want faster entry, more accessible certification paths, and steady six-figure pay without needing an advanced degree, cybersecurity is the more forgiving route.

If you are comfortable with heavier math, statistics, and programming coursework upfront, and you want exposure to artificial intelligence and machine learning work that currently commands the highest ceilings in tech, data science offers a longer runway to bigger numbers.

Neither path is the safe choice anymore. Both are growing faster than almost every other occupation the BLS tracks, and both are short on people who can actually do the work. Pick based on the day-to-day work you would rather be doing, not just the salary chart.

Cybersecurity vs Data Science: Career and Salary Comparison in 2026

Frequently Asked Questions

  1. Does cybersecurity or data science pay more?

    Data science pays more on average once you factor in total compensation at senior levels, largely because of equity at large tech and AI companies. At the median and entry level, the two fields are close, with cybersecurity often having a slight edge in guaranteed base pay.

  2. Do I need a degree for either field?

    Cybersecurity is more forgiving here. Certifications and hands-on experience can substitute for a degree in many entry-level roles. Data science postings still expect a bachelor’s degree in most cases, with a master’s degree common at larger companies.

  3. Is cybersecurity a good career in 2026?

    Yes. The Bureau of Labor Statistics projects 29 percent job growth for information security analysts through 2034, well above the average for all occupations, driven by rising cyberattack volume and expanding cloud infrastructure.

  4. Is data science oversaturated?

    Entry-level data science hiring has tightened compared to a few years ago, but overall demand keeps climbing. The BLS projects 35 percent job growth for data scientists, among the fastest of any tracked occupation, largely driven by AI adoption.

  5. Can I switch from cybersecurity to data science, or the other way around?

    Yes, and it happens often. Python programming, SQL, and general data literacy transfer well in both directions. Security professionals moving into data roles usually lean on threat data and log analysis experience, while data professionals moving into security often gravitate toward security analytics and detection engineering.

  6. Which field has better long-term earning potential?

    Data science currently has a higher ceiling, largely tied to AI and machine learning specialization. Cybersecurity has a more predictable, steadily rising floor, with leadership roles like CISO closing much of the gap at the top.

Salary figures in this guide come from the Bureau of Labor Statistics Occupational Employment and Wage Statistics program and Glassdoor’s 2026 compensation data. Figures reflect national averages and medians as of mid-2026 and will vary by city, employer, and individual experience.

Author and CEO - Shahzada Muhammad Ali Qureshi - whatisthesalary.com

Shahzada Muhammad Ali Qureshi (Leeo)

I’m Shahzada — a software engineer by education and an SEO professional by trade. I built WhatIsTheSalary.com to go beyond just showing salary numbers — every page is manually researched across sources like BLS, Glassdoor, LinkedIn Salary, and PayScale to give you the full picture in one place. If you found what you were looking for here, that’s exactly the point.

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