An online master’s in data science is a graduate degree for students who want flexible, advanced training in statistics, programming, machine learning, data engineering, visualization, and applied analytics.
These programs can help students move into data scientist, machine learning, data analyst, data engineer, AI, research, analytics, and technical leadership roles, but the best program depends on cost, curriculum depth, prerequisites, online format, capstone experience, and career goals.
The best online MSDS program is not always the highest-ranked or most expensive option. Applicants should compare total cost, online flexibility, GRE policy, prerequisites, capstone or thesis options, AI and data engineering coursework, career support, and how well the curriculum matches their target roles.
Online programs can be a strong option for working professionals, career changers, and students who need flexibility, but “online” does not automatically mean easier, cheaper, or better.
Tuition, fees, GRE policies, delivery formats, and curriculum requirements can change by academic year. Verify with the university before applying.
Quick Facts: Online Master’s in Data Science
| Category | Typical Details |
| Common degree names | Online MS in Data Science, Master of Data Science, Master of Applied Data Science, Master of Information and Data Science, MS in Analytics with data science focus |
| Typical length | About 10 months to 3 years, depending on course load and format |
| Common format | Fully online, asynchronous, synchronous, hybrid, low-residency, part-time, full-time, cohort-based, or self-paced |
| Typical credits | Often 30–45 credits, though some programs use units or course-based structures |
| Typical cost range | Varies widely; verified examples range from under $10,000 to more than $75,000 |
| GRE/GMAT | Required, optional, waived, not required, or not publicly listed depending on the school |
| Common prerequisites | Calculus, linear algebra, probability, statistics, programming, databases, data structures, or equivalent experience |
| Best fit | Working professionals, career changers, technical professionals, data analysts, software developers, engineers, and quantitative graduates |
| Common career paths | Data scientist, ML engineer, data analyst, data engineer, AI analyst, applied scientist, research analyst, product analyst |
| Common tools | Python, R, SQL, Git, Spark, cloud platforms, ML libraries, data warehouses, visualization tools, MLOps tools |
| Applied experience | Capstone, practicum, internship, thesis, research project, consulting project, or portfolio |
What Is an Online Master’s in Data Science?
An online master’s in data science is a graduate degree focused on using statistics, programming, machine learning, data systems, visualization, and domain knowledge to solve data-driven problems in a flexible online format.
Students usually complete coursework through a learning platform, with assignments, projects, exams, discussion boards, recorded lectures, live sessions, or virtual labs depending on the program.
Online MSDS programs usually cover:
- Probability and statistics
- Regression and inference
- Machine learning
- Deep learning fundamentals
- Data mining
- Data engineering
- Databases and SQL
- Python and R
- Big data systems
- Cloud platforms
- Data visualization
- Experimental design
- Causal inference
- Ethics and responsible AI
- Capstone, practicum, internship, thesis, or portfolio work
Some online programs are highly technical and emphasize algorithms, ML systems, distributed computing, and engineering. Others are more applied, focusing on analytics, visualization, business problems, and industry projects.
The best fit depends on whether the student wants to become a data scientist, ML engineer, data analyst, data engineer, AI specialist, researcher, or analytics leader.
Who Should Consider an Online Master’s in Data Science?
An online master’s in data science may be a good fit for students who want to:
- Move into data scientist, machine learning, AI, data engineering, or advanced analytics roles
- Build structured graduate-level skills in statistics, programming, ML, and data systems
- Strengthen technical skills beyond a bachelor’s degree
- Switch from software, analytics, math, engineering, economics, physics, business, or statistics
- Study online while continuing to work
- Build a portfolio through capstone, thesis, internship, practicum, or applied projects
- Prepare for technical leadership or research-adjacent industry roles
- Pursue a future PhD in data science, computer science, statistics, AI, or related fields
It may not be the best fit for students who:
- Only need narrow skills such as SQL, Tableau, Power BI, or Python
- Already have strong data science experience and only need a certificate or portfolio
- Want academic research and may be better served by a PhD
- Want business leadership and may prefer business analytics or an MBA
- Want deep software engineering or systems training and may prefer computer science
- Need the fastest or cheapest path into entry-level analytics
- Prefer in-person networking, campus recruiting, or research-lab access
Tuition rates
Dive into tuition for 58 online MS Data Science programs (DASCA noted), with totals analyzed, per-credit scalable-deep learning ranges, and an average for ethics-inclusive remote mastery:
- Highest per credit: $2,080
- Total average cost: $36,423
- 8 DASCA-designated schools
- Lowest per credit: $330
Best Online Master’s in Data Science Degree Programs for 2026
- Program: M.S. in Applied Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $27,300
2026 Cost per credit: $910
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Masters of Science in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $19,800 in-state | $26,190 out-of-state
2026 Cost per credit: $660 in-state | $873 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Hybrid
Total tuition: $32,760
2026 Cost per credit: $910
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & hybrid
Total tuition: $54,540
2026 Cost per credit: $1,818
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $59,010
2026 Cost per credit: $1,967
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $61,164
2026 Cost per credit: $1,699
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $15,888 in-state | $21,757.8 out-of-state
2026 Cost per credit: $529.60 in-state | $725.26 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master's in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $39,404
2026 Cost per credit: $1,231.38
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $46,944
2026 Cost per credit: $1,467
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,500
2026 Cost per credit: $875
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $51,668
2026 Cost per credit: $1,666.70
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $28,875
2026 Cost per credit: $875
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $26,250
2026 Cost per credit: $875
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $37,855
2026 Cost per credit: $1,130
Credits: 33.5
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $53,970
2026 Cost per credit: $1,799
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $20,400
2026 Cost per credit: $680
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science (M.S.) in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,140
2026 Cost per credit: $865.00
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science & Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,580 in-state | $19,470 out-of-state
2026 Cost per credit: $486 in-state | $649 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $30,535
2026 Cost per credit: $985
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $9,900
2026 Cost per credit: $330
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online
Total tuition: $9,990
2026 Cost per credit: $333
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MBS Analytics: Data Science & AI concentration
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $38,700
2026 Cost per credit: $900
Credits: 43
GRE requirement: Not required
Learn more: Program details - Program: Data Science (M.S.)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $10,500 in-state | $20,190 out-of-state
2026 Cost per credit: $350 in-state | $673 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $38,100
2026 Cost per credit: $1,270
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Applied Data Science and AI
DASCA designation: No
Delivery method: Online & campus
Total tuition: $60,288
2026 Cost per credit: $1,256
Credits: 48
GRE requirement: Not required
Learn more: Program details
These rankings were compiled from data accessed in January 2026 from Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of January 2026. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.
2025 Rankings
2024 Rankings
Online MSDS vs Data Analytics vs Business Analytics vs Computer Science vs Statistics
| Degree | Best For | Technical Depth | Math/Stats Depth | Business Focus | Common Roles |
| Online MS in Data Science | ML, modeling, data systems, applied AI | High | High | Medium | Data scientist, ML analyst, applied scientist |
| Online MS in Data Analytics | Reporting, dashboards, applied analysis | Medium | Medium | Medium | Data analyst, BI analyst, analytics specialist |
| Online MS in Business Analytics | Business decision-making with analytics | Medium | Medium | High | Business analyst, product analyst, analytics manager |
| Online MS in Computer Science | Software, algorithms, systems, AI/ML engineering | Very high | Medium to high | Low | Software engineer, ML engineer, data engineer |
| MS in Statistics | Inference, probability, modeling, experimental design | Medium | Very high | Low to medium | Statistician, quantitative analyst, research scientist |
Choose based on your target role:
- Choose data science for machine learning, modeling, data systems, AI, and applied data problems.
- Choose data analytics for reporting, BI, dashboards, SQL, and applied analysis.
- Choose business analytics for business decisions, operations, marketing, finance, and strategy.
- Choose computer science for software, systems, algorithms, ML engineering, and data engineering.
- Choose statistics for inference, probability, experimental design, research, and quantitative modeling.
Is an Online Master’s in Data Science Worth It?
An online MSDS may be worth it if:
- You want to move into data scientist, machine learning, AI, data engineering, or advanced analytics roles.
- You need structured graduate training in statistics, programming, ML, and data systems.
- You are switching from software, analytics, math, engineering, economics, physics, business, or statistics.
- The program includes capstone projects, internships, portfolio work, or research.
- You can choose an affordable program or use employer tuition assistance.
- The curriculum matches your target role.
- You need flexibility to continue working.
- You want a stronger credential than a bootcamp or certificate.
- You want to prepare for technical leadership or future doctoral study.
It may not be worth it if:
- You only need SQL, Tableau, Power BI, or basic Python.
- You already have strong data science experience and only need a portfolio or certificate.
- You want academic research and may need a PhD.
- You want business leadership and may be better served by business analytics or an MBA.
- The program is expensive and lacks career support, applied projects, or technical depth.
- You need the fastest possible route into entry-level analytics.
Bottom line: For many students, an online master’s in data science is most valuable when it combines rigorous statistics, programming, machine learning, data engineering, applied projects, career support, online flexibility, and a total cost that fits the student’s goals.
Related Resources
Admissions Requirements and Prerequisites
Admissions requirements vary by program. More technical programs may expect stronger preparation in math, programming, and computer science, while applied programs may provide more structured support for career changers.
| Requirement | What Applicants Should Know |
| Bachelor’s degree | Usually required; field may vary |
| GPA | Many programs require or prefer a minimum GPA |
| Math prerequisites | Calculus, linear algebra, probability, statistics, or equivalent preparation |
| Programming prerequisites | Python, R, Java, C++, or equivalent experience may be expected |
| Computer science background | Data structures, algorithms, databases, or systems may be required by technical programs |
| GRE/GMAT | Required, optional, waived, or not required depending on program |
| Statement of purpose | Should connect career goals to curriculum and program fit |
| Resume | Should show technical, analytical, research, or domain experience |
| Letters of recommendation | Academic or professional references may be required |
| Bridge courses | Useful for students without CS, math, or statistics background |
| International requirements | English proficiency, transcript evaluation, and visa considerations may apply |
Guidance by Applicant Background
- Computer science majors: Look for programs that add stronger statistics, ML, data mining, data engineering, and applied modeling.
- Statistics and math majors: Look for programs that strengthen programming, data systems, machine learning, and deployment.
- Engineers: Engineering backgrounds often translate well, but applicants should verify programming, statistics, and data structures expectations.
- Data analysts and BI professionals: Look for programs that move beyond dashboards into ML, experimentation, data engineering, and advanced modeling.
- Software developers: Look for programs with rigorous statistics, ML, data science practice, and responsible AI.
- Business or economics graduates: Look for bridge courses in programming, calculus, statistics, and databases.
- Career changers without programming experience: Consider programs with structured prerequisites or bridge pathways. A certificate, bootcamp, or preparatory coursework may be useful before applying.
- International students: Verify STEM designation, English proficiency requirements, transcript evaluation requirements, visa implications, and whether online enrollment supports your long-term goals.
Do not assume standardized testing is required for most programs. Many online MSDS programs are no-GRE, GRE-optional, waiver-based, or performance-based.
Online Data Science Master’s Curriculum and Skills
Strong programs should include both theory and applied experience. Students should graduate with evidence of what they can model, build, explain, evaluate, and deploy.
| Skill Area | Courses or Topics to Look For | Why It Matters |
| Statistical foundations | Probability, inference, regression, experimental design | Core of reliable data analysis |
| Machine learning | Supervised learning, unsupervised learning, model evaluation, deep learning | Core for predictive modeling and AI roles |
| Data engineering | ETL, pipelines, warehouses, Spark, cloud platforms | Needed for production-scale data work |
| Programming | Python, R, SQL, APIs, reproducible workflows | Core technical foundation |
| MLOps | Deployment, monitoring, versioning, CI/CD, experiment tracking | Increasingly important for production ML |
| Generative AI | LLMs, RAG, prompt workflows, embeddings, evaluation | Needed for modern AI-assisted data work |
| Responsible AI | Bias, fairness, explainability, privacy, security, governance | Required for trustworthy analytics |
| Visualization | Dashboards, storytelling, human-centered design | Helps translate findings into decisions |
| Domain electives | Health, finance, policy, marketing, cybersecurity, climate | Helps students apply data science in context |
| Capstone/practicum | Industry project, research project, portfolio | Demonstrates job readiness |
Data Science, Generative AI, MLOps, and Responsible AI Skills
Data science programs in 2026 should prepare students for AI-enabled workflows, generative AI systems, responsible model evaluation, MLOps, and production-scale data work.
Graduates increasingly need to understand not only how to build models, but also how to evaluate, monitor, document, and govern them.
Important topics include:
- Generative AI literacy
- LLM evaluation
- Retrieval-augmented generation
- Embeddings and vector databases
- Prompt workflows
- Synthetic data
- Model monitoring
- Bias and fairness
- Explainability
- Privacy-preserving analytics
- Data governance
- Secure model deployment
- Human-in-the-loop review
- AI risk management
- Documentation and model cards
- Reproducibility
- Ethical data sourcing
This does not mean every online MSDS program must become an AI engineering degree. It does mean students should learn how AI tools affect data workflows, model risk, privacy, evaluation, stakeholder communication, and responsible deployment.
Capstone, Internship, Portfolio, and Thesis Options
A program’s applied experience can matter as much as its course list. Students should compare whether the online degree includes a capstone, internship, practicum, thesis, or portfolio-building sequence.
| Option | Best For | What to Ask |
| Capstone | Students seeking applied industry experience | Is it based on real data? Is there an industry partner? |
| Internship | Students seeking work experience and networking | Are online students eligible? Is placement support available? |
| Practicum | Students who want structured applied work | Is it required or optional? |
| Thesis | Students considering research or PhD study | Is faculty advising available online? |
| Portfolio | Students seeking job-ready evidence | Will projects be GitHub-ready or presentation-ready? |
Students should evaluate whether the program includes:
- Industry capstone
- Research thesis
- Practicum
- Internship
- Applied consulting project
- Portfolio-building assignments
- GitHub-ready code
- Cloud deployment
- Dashboard or visualization project
- Model evaluation write-up
- Responsible AI or model governance component
Cost, Financial Aid, and ROI
Total cost can vary widely. Applicants should compare full program cost, not only tuition per credit.
| Cost Factor | What to Check |
| Total tuition | Does the estimate include all required credits? |
| Fees | Are online, technology, graduation, and course fees included? |
| Prerequisite courses | Are bridge courses required before the degree starts? |
| Software and cloud tools | Are licenses, cloud credits, and lab platforms included? |
| Residency requirements | Are campus visits required? Who pays for travel? |
| Employer benefits | Can you use tuition reimbursement? |
| Scholarships | Are online students eligible? |
| Assistantships | Are online master’s students eligible for teaching or research assistantships? |
| Time to completion | Can you continue working while enrolled? |
| Opportunity cost | Will you reduce work hours or leave the workforce? |
ROI Checklist
- What is the full cost after fees?
- Can I use employer tuition assistance?
- Does the program include career support?
- Will I graduate with a portfolio, capstone, internship, or thesis?
- Does the curriculum match my target role?
- Can I continue working while enrolled?
- What salary range is realistic for my location, background, and experience?
- Would a lower-cost program, certificate, bootcamp, or employer-sponsored training meet my goals?
- How long would it take to recover the cost?
Avoid guaranteed ROI claims. ROI depends on prior experience, local market conditions, portfolio strength, internships, technical depth, total debt, and target role.
Career Paths With an Online Master’s in Data Science
Online MSDS graduates may work in data science, machine learning, AI, analytics, data engineering, research, product, healthcare, finance, technology, government, and consulting.
| Career Path | Typical Work | Why an Online MSDS Helps |
| Data scientist | Modeling, experimentation, prediction, analytics | Core fit for MSDS training |
| Machine learning engineer | Model development, deployment, evaluation | Requires stronger software and engineering skills |
| Data analyst | SQL, dashboards, reporting, analysis | MSDS can support advancement into more technical analytics |
| Data engineer | Pipelines, warehouses, infrastructure | Strong fit if curriculum includes databases, cloud, and engineering |
| Applied scientist | Applied ML, experimentation, product research | Strong fit for technical and research-heavy programs |
| AI analyst or AI specialist | AI evaluation, workflow design, model testing | Relevant if program includes generative AI and responsible AI |
| Research analyst | Statistical modeling, analysis, documentation | Strong fit for research-oriented students |
| Product analyst | Experiments, user behavior, product metrics | Useful for students with experimentation and business context |
| Operations research analyst | Optimization, forecasting, simulation | Strong fit for quantitative and decision-science coursework |
| Analytics manager | Leading analytics projects and teams | Useful for students with prior professional experience |
Job outcomes depend on prior experience, technical depth, portfolio quality, internships, location, and target role.
Salary and Job Outlook
BLS salary data describes broad occupations and includes workers with different education levels, experience levels, industries, and locations. It should not be read as a starting salary guarantee for master’s graduates.
| Occupation | 2024 Median Pay | Projected Growth, 2024–2034 | Relevance to Online MSDS Graduates |
| Data scientist | $112,590 | 34% | Core target role for MSDS graduates |
| Computer and information research scientist | $140,910 | 20% | Relevant for AI, ML, research-heavy, or PhD-bound students |
| Operations research analyst | $91,290 | 21% | Relevant for optimization, forecasting, simulation, and decision science |
| Computer systems analyst | $103,790 | 9% | Relevant for data systems, analytics platforms, and business technology roles |
| Market research analyst | $76,950 | 7% | Relevant for customer analytics, market analytics, and business research |
| Software developer | $133,080 | 15% for software developers, QA analysts, and testers | Relevant for technically strong students pursuing ML engineering or data infrastructure |
Salary varies by role, industry, location, employer, experience, technical skill level, portfolio strength, internships, and whether the role is applied, engineering-focused, or research-focused.
Application Timeline
9–12 Months Before Applying
- Compare online data science, data analytics, business analytics, computer science, and statistics degrees.
- Review program formats and deadlines.
- Build math, programming, and statistics readiness.
- Research GRE/GMAT policies.
- Estimate budget and financial aid.
- Shortlist programs by cost, curriculum, format, and prerequisites.
6–9 Months Before Applying
- Request transcripts.
- Prepare resume.
- Draft statement of purpose.
- Ask for recommendation letters.
- Prepare GRE/GMAT if required.
- Build or update portfolio projects.
- Contact admissions offices about prerequisites or bridge courses.
3–6 Months Before Applying
- Finalize applications.
- Confirm tuition and fees.
- Ask about course scheduling and format.
- Compare career support.
- Submit financial aid forms if applicable.
- Prepare for interviews if required.
After Admission
- Compare total cost and aid packages.
- Review degree plan.
- Confirm prerequisite completion.
- Plan first-term course load.
- Set up coding tools.
- Map electives to target roles.
- Start planning capstone, thesis, internship, or portfolio work.
Frequently Asked Questions
Not always, but technical programs may expect coursework in programming, data structures, algorithms, databases, or systems. Career changers should look for bridge courses or prerequisite pathways.
Most programs expect some statistics or quantitative preparation. Strong preparation in probability, statistics, linear algebra, and calculus can help.
Some programs accept students without extensive programming experience, but many expect at least basic programming. Students without programming experience should prepare with Python, R, SQL, or bridge coursework before applying.
Data science typically delves into machine learning, modeling, statistics, programming, and data systems. Data analytics is often more focused on dashboards, reporting, SQL, BI, and applied analysis.
Computer science focuses on software, algorithms, systems, and computing theory. Data science combines programming with statistics, machine learning, data management, and applied modeling.
An online MSDS is usually more comprehensive and academically rigorous. A bootcamp may be faster and cheaper for targeted skills. The better option depends on your background, goals, budget, and target role.
Yes, an online MSDS can help prepare students for data scientist roles. Employers also evaluate experience, portfolio, programming ability, statistics knowledge, communication skills, and domain expertise.
Choose a thesis if you are interested in research or a future PhD. Choose a capstone if you want applied industry experience and portfolio evidence.
Look for accreditation, curriculum depth, instructor access, project work, career support, GRE policy, prerequisite support, flexible scheduling, and transparent total cost.
Many online MSDS programs are designed for working professionals, but workloads vary. Ask about weekly time commitment, live-session requirements, course pacing, and maximum time to completion.
Online Data Science Master’s Degree School Listings
- Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $62,400
2026 Cost per credit: $2,080
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $27,300
2026 Cost per credit: $910
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $20,400
2026 Cost per credit: $680
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master's in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $39,404
2026 Cost per credit: $1,231.38
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $36,900
2026 Cost per credit: $1,025
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $40,680
2026 Cost per credit: $1,356
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Masters of Science in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $19,800 in-state | $26,190 out-of-state
2026 Cost per credit: $660 in-state | $873 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $14,100 in-state | $16,950 out-of-state
2026 Cost per credit: $470 in-state | $565 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $47,184
2026 Cost per credit: $983
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $66,645
2026 Cost per credit: $1,481
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $27,600
2026 Cost per credit: $920
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $23,910 in-state | $35,340 out-of-state
2026 Cost per credit: $797 in-state | $1,178 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science (M.S.) in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,140
2026 Cost per credit: $865.00
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $41,280
2026 Cost per credit: $860
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $61,083
2026 Cost per credit: $1,851
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $14,700 in-state | $24,375 out-of-state
2026 Cost per credit: $490 in-state | $812.50 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & hybrid
Total tuition: $54,540
2026 Cost per credit: $1,818
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $10,908 in-state | $41,076 out-of-state
2026 Cost per credit: $303 in-state | $1,141 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $28,875
2026 Cost per credit: $875
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $30,535
2026 Cost per credit: $985
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,500
2026 Cost per credit: $875
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $21,564
2026 Cost per credit: $599
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $61,164
2026 Cost per credit: $1,699
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science & Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,580 in-state | $19,470 out-of-state
2026 Cost per credit: $486 in-state | $649 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $38,100
2026 Cost per credit: $1,270
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Online Master’s in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $16,020 in-state | $16,350 out-of-state
2026 Cost per credit: $534 in-state | $545 out-of-state
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Hybrid
Total tuition: $41,640
2026 Cost per credit: $1,388
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $38,376
2026 Cost per credit: $1,066
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $51,668
2026 Cost per credit: $1,666.70
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $43,980
2026 Cost per credit: $1,466
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: MBS Analytics: Data Science & AI concentration
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $38,700
2026 Cost per credit: $900
Credits: 43
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Health Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $42,000
2026 Cost per credit: $1,400
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Hybrid
Total tuition: $32,760
2026 Cost per credit: $910
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & hybrid
Total tuition: $31,500
2026 Cost per credit: $875
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science (M.S.) in Data Science and Engineering
DASCA designation: No
Delivery method: Hybrid
Total tuition: $45,600
2026 Cost per credit: $1,520
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Data Science (M.S.)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $10,500 in-state | $20,190 out-of-state
2026 Cost per credit: $350 in-state | $673 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $37,855
2026 Cost per credit: $1,130
Credits: 33.5
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science and Strategic Analytics
DASCA designation: No
Delivery method: Hybrid
Total tuition: $22,740
2026 Cost per credit: $758
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science and Analytics (MS)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,130 in-state | $16,950 out-of-state
2026 Cost per credit: $471 in-state | $565 out-of-state
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $68,510
2026 Cost per credit: $2,015
Credits: 34
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $9,900
2026 Cost per credit: $330
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Online MS in Applied Data Science
DASCA designation: No
Delivery method: Online & Campus
Total tuition: $76,608 (12 courses) / $114,912 (18 courses)
2026 cost per course: $6,384
Courses: 12 or 18 courses
GRE Requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online
Total tuition: $9,990
2026 Cost per credit: $333
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $53,970
2026 Cost per credit: $1,799
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $17,670
2026 Cost per credit: $589
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Information and Data Science (MIDS)
DASCA designation: No
Delivery method: Online
Total tuition: $76,950
2026 Cost per credit: $2,850
Credits: 27
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $15,750
2026 Cost per credit: $525
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Applied Data Science and AI
DASCA designation: No
Delivery method: Online & campus
Total tuition: $60,288
2026 Cost per credit: $1,256
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Statistics, Analytics and Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $14,142
2026 Cost per credit: $471
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $32,514
2026 Cost per credit: $1,083.80
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $15,888 in-state | $21,757.8 out-of-state
2026 Cost per credit: $529.60 in-state | $725.26 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $59,010
2026 Cost per credit: $1,967
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $33,495
2026 Cost per credit: $1,015
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S.E. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $36,750
2026 Cost per credit: $1,225
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $40,500
2026 Cost per credit: $1,350
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $46,944
2026 Cost per credit: $1,467
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $26,250
2026 Cost per credit: $875
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $25,425
2026 Cost per credit: $565
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $50,700
2026 Cost per credit: $1,690
Credits: 30
GRE requirement: Not required
Learn more: Program details