STEM — Science, Technology, Engineering, and Mathematics — covers a broad set of disciplines unified by quantitative rigor, technical problem-solving, and direct application to industries that drive economic growth. Within that umbrella, online master’s programs span everything from computer science and data analytics to civil engineering, applied mathematics, biological sciences, and cybersecurity. The boundaries are wider than many prospective students assume, and the career payoff varies dramatically depending on which STEM discipline you choose.
The demand signal is clear. According to the Bureau of Labor Statistics, STEM occupations are projected to grow roughly twice as fast as non-STEM occupations through 2032, and workers with master’s-level STEM credentials consistently out-earn their peers—often by $20,000–$40,000 annually compared to bachelor’s-only holders in similar fields. Online delivery has expanded access to programs that were historically limited to students living near research universities, making it possible to earn a rigorous STEM master’s degree while working full-time in a related field.
This page is built to help you navigate the full STEM landscape for online master’s degrees. Rather than focusing on a single discipline, we evaluate and compare programs across STEM fields so you can decide not just which program to choose but also which STEM direction fits your career goals, budget, and learning style.
STEM programs face a higher evaluation bar than many other online master’s categories. Lab components, technical software requirements, and industry-specific accreditation standards all affect whether a program delivers real professional value or merely checks a credential box. Here’s how we assess each program in our rankings:
If you already know what matters most in a STEM master’s program, these quick picks cut straight to the strongest option in each category. Each represents a different fit dimension — not a ranked hierarchy.
Program: M.S. in Computer Science (OMSCS)
Why: Georgia Tech’s OMSCS is the benchmark for online STEM master’s programs—elite academics at a fraction of residential cost. With specializations in machine learning, computing systems, and interactive intelligence, it combines research-university rigor with genuine affordability.
Tuition: ~$7,000 total | Credits: 30 | Format: Fully asynchronous
Program: M.S. in Computer Science (MCS-DS track)
Why: UIUC pairs a world-class CS department with a Coursera-delivered format that keeps total costs under $22,000. The data science specialization is particularly strong and well-recognized by employers in tech and analytics.
Tuition: ~$21,440 total | Credits: 32 | Format: Fully asynchronous (Coursera platform)
Program: M.S. in Engineering (multiple concentrations)
Why: Purdue’s online engineering master’s programs carry the same ABET-accredited departmental backing as the on-campus versions. Concentrations in electrical, mechanical, and industrial engineering are available fully online with strong industry ties.
Tuition: ~$22,500 total (in-state equivalent) | Credits: 30 | Format: Asynchronous with optional synchronous sessions
Program: M.S. in Data Analytics Engineering
Why: Northeastern’s experiential learning model integrates real-world projects into the curriculum, making it a strong fit for working professionals who want to apply what they learn immediately. The program bridges data science and engineering in a way few competitors match.
Tuition: ~$40,000–$50,000 total | Credits: 32 | Format: Online with optional on-campus intensives
Program: M.S. in Applied Statistics
Why: CSU’s applied statistics program accepts students with non-STEM backgrounds who have completed foundational math courses, and its applied focus (rather than pure theoretical statistics) makes it accessible for professionals transitioning from business, social science, or education roles.
Tuition: ~$20,000 total | Credits: 32 | Format: Fully asynchronous
Program: M.S. in Bioinformatics
Why: Johns Hopkins brings its biomedical research reputation to this online program, which sits at the intersection of biology, computer science, and data analysis. It’s one of the few elite-branded online STEM options in biological/health sciences.
Tuition: ~$55,000 total | Credits: 30 | Format: Online with part-time option
Choosing a STEM master’s degree starts with choosing the right discipline. Different STEM fields offer very different combinations of salary potential, job growth, licensure opportunities, research pathways, and accessibility for career changers. Use the matrix below to identify which STEM direction best aligns with your goals before comparing individual programs.
| If Your Goal Is… | Best STEM Path | Why |
|---|---|---|
| Maximize long-term earning potential | Computer Science | Computer science consistently produces some of the highest salaries among master’s-level graduates, particularly in software engineering, artificial intelligence, and machine learning roles. |
| Enter one of the fastest-growing career fields | Data Science & Analytics | Demand for data scientists, analytics professionals, and machine learning specialists continues to outpace most other occupations across industries. |
| Pursue Professional Engineer (PE) licensure | Engineering | Engineering remains the clearest pathway to PE licensure, particularly in civil, mechanical, electrical, and related engineering disciplines. |
| Work in government, defense, or national security | Cybersecurity | Government agencies, defense contractors, and critical infrastructure organizations continue to face cybersecurity talent shortages, creating strong long-term demand. |
| Prepare for research-intensive careers or doctoral study | Biological Sciences | Biology, bioinformatics, and related life science fields provide strong foundations for research careers, laboratory leadership, and PhD pathways. |
| Transition into a STEM field from a non-technical background | Applied Statistics | Applied statistics programs often offer more accessible admissions requirements while still providing quantitative skills valued across healthcare, business, government, and technology sectors. |
| Combine healthcare and STEM expertise | Health Sciences / Biomedical Fields | Fields such as bioinformatics, biostatistics, health informatics, and biomedical engineering sit at the intersection of technology, research, and healthcare. |
| Build broad technical skills with strong flexibility | Information Technology | IT master’s programs typically provide practical technical training with fewer prerequisite barriers than many engineering or computer science programs. |
Bottom Line – The highest-ranked STEM program is not automatically the best choice for every student. Career goals should determine the discipline first, and the program second. A future software engineer, a research scientist, and a licensed engineer may all benefit from a STEM master’s degree, but the optimal path for each student looks very different. Identifying the right STEM discipline early can save both time and tuition while improving long-term career outcomes.
The 14 programs below represent the strongest online master’s options across STEM disciplines. We selected them based on the evaluation criteria outlined above, with an emphasis on cross-disciplinary representation—you’ll find programs spanning computer science, engineering, data science, mathematics, natural sciences, IT/cybersecurity, and health sciences.
STEM Discipline: Computer Science
Tuition: ~$7,000 total | Credits: 30 | Format: Asynchronous | Completion: 2–3 years part-time
Best for: Budget-conscious students who want a top-10 CS program
Georgia Tech’s OMSCS remains the gold standard for affordable, rigorous online CS education. Specializations include machine learning, computational perception, and computing systems. At roughly $7,000 total, there is no closer combination of prestige and value in online STEM.
STEM Discipline: Data Science / Computer Science
Tuition: ~$21,440 total | Credits: 32 | Format: Asynchronous (Coursera) | Completion: 1.5–3 years
Best for: Data professionals seeking a top-ranked CS credential with a data science focus
UIUC’s MCS-DS blends core computer science with a data science specialization. The Coursera-delivered format gives students genuine flexibility, while the UIUC brand carries weight with hiring managers in tech and analytics.
STEM Discipline: Engineering
Tuition: ~$22,500 total | Credits: 30 | Format: Asynchronous | Completion: 2–3 years part-time
Best for: Working engineers seeking an advanced credential from a top-tier engineering school
Purdue’s online engineering programs carry full ABET accreditation and are taught by the same faculty as the residential versions. The electrical and computer engineering track is particularly well-suited for professionals in embedded systems, signal processing, and semiconductor industries.
STEM Discipline: Engineering / Computer Science
Tuition: ~$18,750 total | Credits: 30 | Format: Asynchronous | Completion: 1.5–2 years
Best for: Software professionals who want an engineering-grounded (not just coding-focused) master’s
ASU’s engineering master’s with a software engineering concentration bridges the gap between CS and traditional engineering. The program emphasizes systems design, architecture, and process optimization — skills that distinguish senior engineers from entry-level developers.
STEM Discipline: Biological Sciences / Data Science
Tuition: ~$55,000 total | Credits: 30 | Format: Online, part-time | Completion: 2–3 years
Best for: STEM professionals targeting biotech, pharma, or genomics careers
This program sits at the intersection of biology, computational science, and data analysis. Johns Hopkins’ biomedical research infrastructure gives this program credibility that few competitors can match in the biological sciences space.
STEM Discipline: Data Science / Engineering
Tuition: ~$46,000 total | Credits: 32 | Format: Online with optional intensives | Completion: 2–3 years
Best for: Professionals who want to apply analytics skills to engineering and operational challenges
Northeastern’s experiential learning model makes this more than a classroom-only program. Students work on real-world projects, and the program’s engineering angle differentiates it from pure data science degrees.
STEM Discipline: Information Technology
Tuition: ~$30,000 total | Credits: 33 | Format: Asynchronous | Completion: 2 years
Best for: IT professionals moving into management or specialized technical roles
Penn State’s IST program balances technical skills with organizational context, making it a strong choice for IT professionals who want to move beyond helpdesk or basic admin roles into security analysis, systems architecture, or IT leadership.
STEM Discipline: Computer Science
Tuition: ~$24,000 total | Credits: 30 | Format: Asynchronous | Completion: 2–3 years
Best for: Students who want a strong CS program with research university backing at a moderate cost
Texas A&M’s online CS master’s program offers a curriculum identical to its residential program. The program’s strengths in areas such as cybersecurity, data mining, and software engineering make it a versatile choice within computer science.
STEM Discipline: Mathematics / Statistics
Tuition: ~$20,000 total | Credits: 32 | Format: Asynchronous | Completion: 2–3 years
Best for: Career changers and non-STEM undergrads who want to enter a quantitative field
CSU’s applied statistics program is more accessible than many STEM master’s options — it accepts students who have completed foundational calculus and introductory statistics, even if their bachelor’s degree was in a non-STEM field. The applied focus translates directly to roles in industry, government, and healthcare analytics.
STEM Discipline: Engineering
Tuition: ~$25,000 total (in-state equivalent available) | Credits: 30 | Format: Asynchronous | Completion: 2–3 years
Best for: Engineers seeking an ABET-accredited advanced degree with strong industry connections
NC State’s online electrical engineering program benefits from the university’s deep ties to the Research Triangle’s tech and engineering employers. The program is ABET-accredited and offers concentrations in power systems, electronics, and signal processing.
STEM Discipline: Cybersecurity / IT
Tuition: ~$28,000 total | Credits: 30 | Format: Asynchronous | Completion: 2–3 years
Best for: Security professionals targeting NSA/DHS-recognized credential pathways
George Mason is designated as a National Center of Academic Excellence in Cyber Defense by the NSA and DHS. The cybersecurity engineering program blends technical depth—cryptography, network security, secure coding—with an engineering framework that distinguishes it from general IT security programs.
STEM Discipline: Computer Science
Tuition: ~$10,000 total (Florida resident) / ~$30,000 (non-resident) | Credits: 30 | Format: Asynchronous | Completion: 1.5–3 years
Best for: Florida residents or budget-conscious students seeking a top-ranked CS program
UF’s online CS master’s is one of the most affordable from a top-10 public university. The curriculum covers AI, databases, distributed systems, and human-centered computing, and the program benefits from UF’s significant AI research investments.
STEM Discipline: Engineering
Tuition: ~$22,000 total | Credits: 30 | Format: Asynchronous | Completion: 2 years
Best for: Engineers in manufacturing, aerospace, or logistics who need a systems-level perspective
Iowa State’s systems engineering program focuses on optimization, reliability, and complex systems management — skills that translate directly to manufacturing, defense, and supply chain roles. The M.Eng. format emphasizes applied coursework over thesis research.
STEM Discipline: Data Science / Analytics
Tuition: ~$18,000 total | Credits: 30 | Format: Asynchronous | Completion: 2 years
Best for: Professionals seeking a data analytics master’s with a big data and cloud computing emphasis
UCF’s data analytics program stands out for its explicit focus on big data technologies—Hadoop, Spark, and cloud-native analytics tools—rather than the purely statistical approach many data science programs take. The cost-to-quality ratio is strong for a program of this caliber.
The table below lets you scan all 14 ranked programs side by side. Use it to compare the dimensions that matter most to your decision — whether that’s total cost, STEM discipline, or how quickly you can finish. Pay particular attention to the “Best For” column: two programs in the same discipline can serve very different types of students.
| University | Program | STEM Discipline | Tuition (est.) | Credits | Format | Completion Time | Best For |
|---|---|---|---|---|---|---|---|
| Georgia Institute of Technology | M.S. in Computer Science (OMSCS) | Computer Science | ~$7,000 | 30 | Asynchronous | 2–3 years | Budget-conscious, top-tier CS |
| University of Illinois Urbana-Champaign | M.S. in Computer Science (MCS-DS) | Data Science / CS | ~$21,440 | 32 | Asynchronous | 1.5–3 years | Data professionals, CS credential |
| Purdue University | M.S. in Electrical and Computer Engineering | Engineering | ~$22,500 | 30 | Asynchronous | 2–3 years | Working engineers, ABET-accredited |
| Arizona State University | M.S. in Engineering (Software Engineering) | Engineering / CS | ~$18,750 | 30 | Asynchronous | 1.5–2 years | Software professionals |
| Johns Hopkins University | M.S. in Bioinformatics | Biological Sciences / Data Science | ~$55,000 | 30 | Online, part-time | 2–3 years | Biotech, pharma, genomics |
| Northeastern University | M.S. in Data Analytics Engineering | Data Science / Engineering | ~$46,000 | 32 | Online + optional intensives | 2–3 years | Applied analytics, experiential learning |
| Penn State World Campus | M.S. in Information Sciences and Technology | Information Technology | ~$30,000 | 33 | Asynchronous | 2 years | IT professionals advancing careers |
| Texas A&M University | M.S. in Computer Science | Computer Science | ~$24,000 | 30 | Asynchronous | 2–3 years | Strong CS at moderate cost |
| Colorado State University | M.S. in Applied Statistics | Mathematics / Statistics | ~$20,000 | 32 | Asynchronous | 2–3 years | Career changers, non-STEM backgrounds |
| North Carolina State University | M.S. in Electrical Engineering | Engineering | ~$25,000 | 30 | Asynchronous | 2–3 years | ABET-accredited, industry connections |
| George Mason University | M.S. in Cybersecurity Engineering | Cybersecurity / IT | ~$28,000 | 30 | Asynchronous | 2–3 years | Security professionals, NSA-recognized |
| University of Florida | M.S. in Computer Science | Computer Science | ~$10,000–$30,000 | 30 | Asynchronous | 1.5–3 years | Budget-friendly top-10 public CS |
| Iowa State University | M.Eng. in Systems Engineering | Engineering | ~$22,000 | 30 | Asynchronous | 2 years | Systems-level engineering roles |
| University of Central Florida | M.S. in Data Analytics (Big Data) | Data Science / Analytics | ~$18,000 | 30 | Asynchronous | 2 years | Big data, cloud computing focus |
Several patterns stand out. Programs from Georgia Tech, the University of Florida, and Colorado State University cluster at the lower end of cost while maintaining strong academic reputations—if affordability is your primary driver, start there. Engineering programs (Purdue, NC State, Iowa State) tend to offer ABET accreditation, which matters if you need licensure or plan to work in regulated industries. For students interested in the intersection of STEM and healthcare, Johns Hopkins is the clear standout, though at a significantly higher price point. And if you’re entering STEM from a non-technical background, Colorado State’s applied statistics program has the most accommodating admissions requirements of any program on this list.
STEM is not one field — it’s a family of disciplines with very different career paths, salary ranges, and online learning dynamics. This section breaks down the major STEM categories to help you identify which discipline aligns with your goals before you start comparing individual programs.
Computer science is the most mature and widely available online STEM master’s discipline. Programs typically cover algorithms, software design, artificial intelligence, and systems architecture. A master’s in CS can lead to roles in software engineering, machine learning engineering, research science, and technical leadership—with median salaries ranging from $100,000 to $160,000+ depending on specialization and location.
Online CS programs have a distinct advantage over other STEM disciplines: the subject matter translates naturally to digital delivery, and employers in the tech industry have broadly accepted online CS credentials from accredited universities.
Explore programs in depth on our online master’s in computer science subject page, or see our ranked picks at the best online master’s in computer science.
Data science master’s programs focus on extracting insights from large datasets using statistical modeling, machine learning, and programming. Analytics programs may lean more toward business applications, while data science programs tend to emphasize computational methods and algorithm development.
Career paths include data scientist, machine learning engineer, analytics manager, and quantitative analyst, with median salaries typically ranging from $95,000 to $145,000. Demand is strong across virtually every industry — healthcare, finance, retail, government, and technology all of which hire data professionals at the master’s level.
See our online master’s in data science subject page and best online master’s in data science rankings for discipline-specific evaluations.
Online engineering master’s programs cover sub-disciplines including electrical engineering, mechanical engineering, civil engineering, industrial engineering, and systems engineering. The key differentiator from other STEM fields is the importance of ABET accreditation—particularly for students pursuing licensure as a Professional Engineer (PE).
Engineering master’s graduates typically earn between $90,000 and $140,000, with higher salaries in petroleum, aerospace, and computer hardware engineering. Online programs have expanded significantly, though some sub-disciplines (like civil engineering with field-based requirements) adapt less naturally to fully online formats. Universities with established online engineering reputations—including Purdue, NC State, and University of Southern California (whose Viterbi School of Engineering offers several online master’s tracks)—have demonstrated that rigorous engineering education can work online when the infrastructure is in place.
Our online master’s in engineering subject page and best online master’s in engineering rankings cover this discipline in detail.
IT and cybersecurity master’s programs cover network administration, cloud computing, information assurance, digital forensics, and security engineering. These programs tend to be more applied and operationally focused than computer science degrees — they prepare students to manage, secure, and optimize technology infrastructure rather than build new systems from scratch.
Median salaries range from $85,000 to $130,000, with cybersecurity specialists consistently in the upper range due to persistent talent shortages. The NSA/DHS Centers of Academic Excellence designation is a meaningful quality signal for cybersecurity programs specifically.
For more on these disciplines, see our online master’s in information technology and online master’s in cybersecurity subject pages, along with our ranked lists for IT and cybersecurity.
Online master’s programs in mathematics and statistics prepare students for careers in actuarial science, quantitative finance, research, academic teaching, and applied analytics across industries. Applied mathematics and applied statistics programs — like the one offered by Colorado State University — tend to have stronger job-market outcomes than pure mathematics programs, which are more research-oriented.
Median salaries for master’s-level mathematicians and statisticians range from $85,000 to $115,000, with higher figures in finance and technology. These programs typically require a strong undergraduate quantitative background, though applied programs may accept students who complete foundational coursework.
See our online master’s in mathematics subject page and best online master’s in mathematics rankings.
Online master’s programs in biology, environmental science, and related natural sciences are growing but remain more constrained than computational STEM fields. Programs that work well online tend to focus on non-lab areas — environmental policy, conservation biology, ecology, bioinformatics, and environmental management. Programs that require wet-lab work generally struggle to replicate that experience online.
Median salaries range from $65,000 to $100,000 depending on the specialization. Environmental management and bioinformatics tend to offer the strongest career returns, while general biology master’s programs are more valuable as stepping stones to doctoral study or teaching.
For environmental science specifically, explore our best online master’s in environmental science ranking. Biology programs are covered in our best online master’s in biology ranking.
Health sciences STEM programs include biomedical engineering, public health with a quantitative focus, biostatistics, health informatics, and clinical research. These programs sit at the intersection of STEM and healthcare, and their value depends heavily on whether the specific program is classified as STEM by the Department of Homeland Security (which affects OPT eligibility for international students) and whether it leads to a clearly defined career path.
Median salaries vary widely—from $70,000 for health informatics roles to $100,000+ for biomedical engineers and biostatisticians. Programs from research-intensive institutions like Johns Hopkins carry significant brand value in this space.
Online master’s programs in physics and applied sciences are the rarest category in online STEM education. Pure physics programs are heavily lab-dependent and rarely available in fully online formats. Applied physics, applied science, and interdisciplinary science programs are more common, often blending elements of engineering, materials science, and computational modeling.
For students interested in physics-adjacent careers—materials science, optics, semiconductor design, or computational physics—a master’s in applied science or engineering physics from a research university may be a more practical online option than a traditional physics degree. Median salaries for applied physicists range from $90,000 to $130,000, with the highest earnings in semiconductor and defense-related industries.
Choosing a STEM master’s program is really two decisions stacked on top of each other: first, which STEM discipline fits your career trajectory, and second, which program within that discipline delivers the best combination of quality, cost, and flexibility for your situation.
Start with career goal alignment, not program prestige. A $55,000 master’s from a prestigious university is only worth the investment if the career path it unlocks pays enough to justify the cost—and does so within a reasonable timeframe. If you’re a software developer seeking a promotion, an affordable CS master’s from Georgia Tech or UIUC may generate better ROI than an expensive engineering program from a brand-name school. Use the graduate school cost calculator to model your specific scenario.
Check prerequisite requirements early. STEM programs vary dramatically in what they expect from applicants. Computer science programs typically require data structures, algorithms, and discrete math. Engineering programs may require calculus through differential equations, linear algebra, and physics. Statistics programs need calculus and introductory probability. If you’re coming from a non-STEM background, look for programs that offer foundational bridge courses or have explicitly flexible admissions, like CSU’s applied statistics program.
Evaluate the online format, not just the online label. Asynchronous programs give you maximum scheduling flexibility, but they also require more self-discipline. Synchronous or cohort-based programs offer structure and networking but limit when you can study. Some programs — particularly in engineering — require occasional on-campus residencies or proctored exams. Know what you’re signing up for.
Weigh cost against outcomes, not cost in isolation. Total program cost matters more than per-credit tuition. A program that costs $20,000 and takes 30 credits is cheaper than one that costs $700/credit but requires 45 credits. And cost only matters in context: the highest-paying online master’s degrees tend to cluster in STEM fields, but not all STEM disciplines pay equally. For the most affordable options, see our most affordable online master’s programs ranking.
Consider part-time vs. full-time trade-offs honestly. Most online STEM students study part-time while working. That’s a strength—you can apply what you learn immediately—but it also means a 2-year program may take 3–4 years. If speed matters, look for accelerated or one-year online master’s programs, but understand that compressed timelines in STEM coursework require significant weekly time commitments.
Think about accreditation before you enroll, not after. For engineering programs, ABET accreditation can determine whether you qualify for PE licensure. For cybersecurity, the NSA/DHS CAE designation signals that the program meets government security education standards. For CS and data science, institutional accreditation and departmental reputation are the primary quality signals. If you’re considering a program from a less well-known university, verify that the accreditation meets industry standards in your target field.
Not every STEM discipline translates well to online delivery, and not every career path requires a STEM master’s degree. Being honest about these limitations matters more than encouraging enrollment.
Lab-intensive natural sciences lose real value online. If your target field requires wet-lab competency—bench chemistry, microbiology with cultures, materials testing, or field ecology—an online master’s program will almost certainly leave gaps in your training. Some programs address this with virtual labs or intensive on-campus lab sessions, but the reality is that a fully online master’s in chemistry or experimental biology will not prepare you for roles that require hands-on laboratory skills. If lab work is central to your career, an in-person or hybrid program is worth the logistical sacrifice.
Certain engineering licensure paths require in-person, ABET-accredited programs. If you intend to become a licensed Professional Engineer (PE), you need a degree from an ABET-accredited program—and not all online engineering programs carry that accreditation. Additionally, some state boards have historically scrutinized online-only engineering degrees more closely during the licensure review process. If PE licensure is your goal, verify ABET status and state board acceptance before enrolling.
Some roles are better served by certificates or bootcamps than by a master’s degree. If your goal is to learn Python for data analysis, pick up cloud computing skills, or break into front-end development, a 2-year master’s degree is likely overkill. Industry certifications (AWS, Google Cloud, CISSP) and intensive bootcamps can deliver targeted skills faster and at a fraction of the cost. A master’s degree makes sense when you need depth, research capability, or a credential that opens doors to senior technical or leadership roles—not when you need a specific skill set quickly.
Generic or interdisciplinary STEM degrees with vague curricula. Some universities offer master’s programs labeled “STEM” or “Applied Science” that don’t specialize in any particular discipline. These programs can be attractive to students who aren’t sure what they want to study, but they’re often the hardest to justify to employers. Hiring managers in STEM fields expect specific technical expertise. A master’s in “Applied Science” with a grab-bag curriculum is unlikely to compete against a focused degree in data science, engineering, or computer science.
STEM master’s degrees generally lead to strong salary outcomes, but the range across disciplines is wide enough to be decision-relevant. A master’s in computer science from a top program can lead to starting salaries above $120,000 in major tech markets, while a master’s in environmental science may start in the $55,000–$70,000 range. Both are legitimate STEM credentials—but they serve very different economic realities.
The table below summarizes salary ranges and growth outlook by major STEM discipline, based on Bureau of Labor Statistics data and industry surveys.
| STEM Discipline | Median Salary (Master’s) | Job Growth Outlook (2022–2032) | Top Roles |
|---|---|---|---|
| Computer Science | $120,000–$160,000 | 23% (Much faster than average) | Software Engineer, ML Engineer, Research Scientist |
| Data Science / Analytics | $100,000–$145,000 | 35% (Much faster than average) | Data Scientist, Analytics Manager, Quantitative Analyst |
| Engineering (Electrical, Mechanical) | $95,000–$140,000 | 4–9% (Average) | Senior Engineer, Systems Engineer, Engineering Manager |
| Information Technology | $90,000–$125,000 | 15% (Faster than average) | IT Manager, Solutions Architect, Systems Administrator |
| Cybersecurity | $100,000–$135,000 | 32% (Much faster than average) | Security Analyst, Penetration Tester, CISO |
| Mathematics / Statistics | $90,000–$120,000 | 30% (Much faster than average) | Actuary, Statistician, Quantitative Analyst |
| Biological / Environmental Sciences | $60,000–$95,000 | 5–7% (Average) | Environmental Scientist, Bioinformatics Analyst, Research Biologist |
| Health Sciences / Biomedical | $75,000–$110,000 | 10–14% (Faster than average) | Biomedical Engineer, Biostatistician, Health Informatics Analyst |
Source: Bureau of Labor Statistics Occupational Outlook Handbook (2024 data); salary ranges represent typical master’s-level compensation and vary by location, experience, and employer.
The data tells a clear story: computational and data-centric STEM fields (CS, data science, cybersecurity, statistics) offer both the highest salaries and the fastest job growth. Engineering salaries are strong, but growth is more modest in many sub-disciplines. Biological and environmental sciences offer the lowest starting compensation but may appeal to students driven by mission alignment rather than salary maximization.
For a broader view of which master’s degrees generate the highest earnings, see our highest-paying online master’s degrees ranking. And if you’re weighing whether any master’s degree is worth the investment in your specific field, our guide to the most useful master’s degrees offers a cross-discipline perspective.
Yes — when the degree comes from a regionally accredited institution with a credible department in the relevant STEM field. Employer perception of online STEM degrees has shifted substantially over the past decade, particularly in technology-oriented fields. Companies like Google, Amazon, Microsoft, and major defense contractors actively recruit from online STEM programs at universities like Georgia Tech, UIUC, and Purdue. The key factors are institutional reputation, program accreditation (e.g., ABET for engineering), and whether the online program is academically identical to the residential version. A degree transcript from these programs does not distinguish between online and on-campus completion.
Prerequisites depend heavily on the STEM discipline. Computer science programs typically require coursework in data structures, algorithms, discrete mathematics, and programming. Engineering programs usually require calculus (through multivariable and differential equations), linear algebra, and undergraduate-level engineering courses in the relevant sub-discipline. Statistics and data science programs require calculus and introductory probability/statistics at a minimum. Some programs — particularly in applied fields — offer bridge courses or conditional admission for students who need to complete prerequisite coursework before beginning core graduate courses.
Most online STEM master’s programs require 30–36 credit hours and take 2–3 years to complete when studied part-time. Full-time students can often finish in 1.5–2 years. Some programs offer accelerated options that compress the timeline, though the weekly workload in accelerated STEM programs is significant — expect 20–30 hours per week if you’re trying to finish a technical master’s in 12–18 months. Programs with thesis requirements may add a semester compared to coursework-only or capstone-only formats.
Costs range from approximately $7,000 total (Georgia Tech’s OMSCS) to over $55,000 (Johns Hopkins’ specialized biomedical programs). The typical range for a quality online STEM master’s is $18,000–$35,000 in total tuition. Key variables include whether the university offers in-state tuition rates to online students regardless of residency (Georgia Tech, University of Florida, and several public universities do), the total number of required credit hours, and whether there are program-specific fees for lab access, software licenses, or proctored exams. Use the graduate school cost calculator to estimate your total investment.
In some disciplines, yes. Programs in applied statistics, data analytics, information technology, and certain interdisciplinary STEM fields often accept students with non-STEM bachelor’s degrees — provided you’ve completed foundational quantitative coursework (typically calculus, introductory statistics, or a programming course). Colorado State University’s applied statistics program and several IT master’s programs are explicitly designed to accommodate career changers. However, entering a computer science or engineering master’s program without an undergraduate STEM degree typically requires completing significant prerequisite coursework first, which can add 6–12 months to your timeline. Our best online master’s for career changers ranking identifies programs specifically designed for this transition.
Computer science, data science, and cybersecurity master’s degrees consistently offer the highest salary potential, with median salaries for master’s holders ranging from $100,000 to $160,000. Engineering disciplines (particularly electrical, computer, and petroleum engineering) also rank high. Mathematics and statistics master’s degrees can reach $120,000+ in quantitative finance and tech-sector analytics roles. The salary premium for a master’s over a bachelor’s is typically largest in computer science, data science, and cybersecurity—fields where advanced technical skills directly command higher compensation.
At minimum, the university must hold regional institutional accreditation from a recognized accrediting body (e.g., HLC, SACSCOC, MSCHE). Beyond that, programmatic accreditation matters most for engineering: ABET accreditation is the standard for engineering programs and can affect PE licensure eligibility. For computer science, ABET-CAC accreditation is a positive signal but not universally required—departmental reputation and research output often matter more. For cybersecurity, the NSA/DHS Centers of Academic Excellence in Cyber Defense (CAE-CD) designation indicates the program meets government-defined curriculum standards. For data science and IT programs, institutional accreditation plus employer recognition are typically the primary quality signals.
Yes — several high-quality online STEM programs cost under $25,000 total. Georgia Tech’s OMSCS is the most notable at roughly $7,000, and the University of Florida’s online CS master’s starts around $10,000 for Florida residents. Colorado State University’s applied statistics program runs approximately $20,000, and Arizona State University’s software engineering concentration comes in around $18,750. Public universities that extend in-state tuition to all online students regardless of location offer some of the best value. Our most affordable online master’s programs ranking covers affordability across all disciplines, while this page’s ranked list specifically highlights STEM programs with strong cost-to-quality ratios.