A master’s in data science is a graduate degree for students who want 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, format, faculty expertise, hands-on projects, and career goals.
The best master’s in data science 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.
This guide compares master’s in data science programs for 2026 and explains how to evaluate program type, online format, admissions requirements
Quick Facts: Master’s in Data Science
| Category | Typical Details |
| Common degree names | MS in Data Science, Master of Data Science, Master of Applied Data Science, Master of Information and Data Science, MS in Applied Data Science, MS in Analytics with data science focus |
| Typical length | 10 months to 3 years, depending on format and full-time or part-time enrollment |
| Common format | Campus, fully online, hybrid, low-residency, synchronous online, asynchronous online, cohort-based, part-time, or full-time |
| Typical credits | About 30–45 semester credits, though some programs use units or quarter credits |
| Typical cost range | Varies widely; verified examples range from low-cost online public options to premium private or residential programs |
| GRE/GMAT | Required, optional, waived, not required, or not publicly listed depending on program |
| Common prerequisites | Calculus, linear algebra, probability, statistics, programming, databases, data structures, or equivalent experience |
| Best fit | Students seeking advanced training in data science, ML, AI, data engineering, applied statistics, or technical analytics |
| Common career paths | Data scientist, machine learning engineer, data analyst, data engineer, applied scientist, AI analyst, research analyst, product analyst |
| Common tools | Python, R, SQL, Git, Spark, cloud platforms, machine learning libraries, data warehouses, visualization tools |
| Applied experience | Capstone, practicum, internship, thesis, research project, portfolio, consulting project, or industry-sponsored project |
What Is a Master’s in Data Science?
A 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.
These programs are usually interdisciplinary, drawing from computer science, statistics, applied mathematics, engineering, information science, business, and domain-specific fields.
Master’s in data science 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 programs are highly technical and emphasize algorithms, data systems, machine learning, and computing. Others are more applied, focusing on business analytics, visualization, decision-making, and industry projects.
Research-oriented programs may include a thesis, while professionally oriented programs often emphasize capstones, internships, practicums, and portfolio projects.
Who Should Consider a Master’s in Data Science?
A 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 a related field such as software, analytics, math, engineering, economics, physics, business, or statistics
- 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
Related Resources
Tuition rates
Review tuition from 77 campus MS Data Science programs (DASCA noted), detailing total analyzed, per-credit entry-to-elite spans, and an average for ML-big data careers:
- Total average cost: $50,286
- Lowest tuition: $531
- Highest tuition: $3,968
- 10 DASCA-designated schools
Best Data Science Master’s Degree Programs in 2026
- 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: MS in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $81,000
2026 Cost per credit: $2,700.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $26,105.97 in-state | $35,836.02 out-of-state
2026 Cost per credit: $791.09 in-state | $1,085.94 out-of-state
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $51,677
2026 Cost per credit: $1,667.00
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S.E. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $42,420
2026 Cost per credit: $1,414.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $41,280
2026 Cost per credit: $860.00
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science & Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $67,724
2026 Cost per credit: $1,881.22
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Science Master's Program
DASCA designation: No
Delivery method: Campus
Total tuition: $53,970
2026 Cost per credit: $1,799.00
Credits: 30
GRE requirement: 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's in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $93,100
2026 Cost per credit: $2,586.11
Credits: 36
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $62,736
2026 Cost per credit: $1,742.67
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $65,973
2026 Cost per credit: $2,199.09
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science & Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $79,560
2026 Cost per credit: $2,652.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $69,120 in-state | $119,040 out-of-state
2026 Cost per credit: $2,304 in-state | $3,968 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $41,230
2026 Cost per credit: $1,085.00
Credits: 38
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $61,500
2026 Cost per credit: $2,050.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: MS Program in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $27,900 in-state | $44,130 out-of-state
2026 Cost per credit: $930 in-state | $1,471 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $61,696
2026 Cost per credit: $1,928.00
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $21,536.7 in-state | $37,332 out-of-state
2026 Cost per credit: $717.89 in-state | $1,244.40 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $36,828
2026 Cost per credit: $1,116.00
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $79,320
2026 Cost per credit: $2,644.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $62,730
2026 Cost per credit: $2,091.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $62,400
2026 Cost per credit: $2,080.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $53,325
2026 Cost per credit: $1,185.00
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $50,640
2026 Cost per credit: $1,688.00
Credits: 30
GRE requirement: Optional
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
MS in Data Science vs Data Analytics vs Business Analytics vs Computer Science vs Statistics
| Degree | Best For | Technical Depth | Math/Stats Depth | Business Focus | Common Roles |
| MS in Data Science | ML, modeling, data systems, applied AI | High | High | Medium | Data scientist, ML analyst, applied scientist |
| MS in Data Analytics | Reporting, dashboards, applied analysis | Medium | Medium | Medium | Data analyst, BI analyst, analytics specialist |
| MS in Business Analytics | Business decision-making with analytics | Medium | Medium | High | Business analyst, product analyst, analytics manager |
| 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 a Master’s in Data Science Worth It?
A master’s in data science 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 a related field such as 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 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 narrow skills such as SQL, Tableau, Power BI, or Python.
- You already have strong experience and only need a certificate or portfolio.
- You want academic research and should consider 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 strong technical depth.
- You need the fastest possible route into entry-level analytics.
Bottom line: For many students, a master’s in data science is most valuable when it combines rigorous statistics, programming, machine learning, data engineering, applied projects, career support, and a total cost that fits the student’s goals.
Admissions Requirements and Prerequisites
Admissions vary by university and program type. Technical programs may expect more math and programming than applied or business-focused programs.
| 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 with strong 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 requirements.
- Data analysts and BI professionals: Look for programs that move beyond dashboards into ML, data engineering, experimentation, and advanced modeling.
- 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 bootcamp or certificate may be useful before applying.
- International students: Verify STEM designation, visa implications, English proficiency requirements, transcript evaluation requirements, and whether online enrollment supports your goals.
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, 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, data warehouses, Spark, cloud platforms | Needed for production-scale data work |
| Programming | Python, R, SQL, APIs, reproducible workflows | Core technical foundation |
| MLOps | Model 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 |
| Data 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, and Responsible AI Skills
Data science programs in 2026 should prepare students for AI-enabled workflows, generative AI systems, responsible model evaluation, and production-scale data work.
Students should learn not only how to build models but also how to evaluate outputs, document assumptions, protect data, deploy responsibly, and communicate limitations.
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 MSDS program needs to become an AI engineering degree. It does mean that graduates should understand how AI tools affect data workflows, model risk, privacy, evaluation, and stakeholder communication.
Capstone, Internship, Portfolio, and Thesis Options
A program’s applied experience can matter as much as its course list. Students should compare whether the 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? |
| 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
| 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 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 a Master’s in Data Science
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 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 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 |
| Database administrator / database architect | DBAs: $104,620; database architects: $135,980 | Verify current outlook by role | Relevant for database, data engineering, and data architecture paths |
| 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 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
Yes. Many universities offer online master’s in data science programs. Online formats vary, including asynchronous, synchronous, hybrid, low-residency, cohort-based, and part-time options.
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.
Statistics focuses heavily on probability, inference, experimental design, and mathematical modeling. Data science combines statistics with programming, databases, machine learning, and applied computing.
A master’s degree 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, a master’s in data science can help prepare students for data scientist roles. However, 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.
Data Science Master’s Degree School Listings
- Program: MS Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $62,400
2026 Cost per credit: $2,080.00
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: 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: MS in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $81,000
2026 Cost per credit: $2,700.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Master of Science Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $25,488
2026 Cost per credit: $531.00
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $44,430
2026 Cost per credit: $1,481.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science & Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $67,724
2026 Cost per credit: $1,881.22
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $55,200
2026 Cost per credit: $1,840.00
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: MS in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $23,910
2026 Cost per credit: $797.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science & Artificial Intelligence
DASCA designation: No
Delivery method: Campus
Total tuition: $13,669.2 in-state and $30,050.7 out-of-state
2026 Cost per credit: $455.64 in-state and $1,001.69 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $50,640
2026 Cost per credit: $1,688.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $62,730
2026 Cost per credit: $2,091.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science & Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $79,560
2026 Cost per credit: $2,652.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science and Analytics, M.S.A.
DASCA designation: No
Delivery method: Campus
Total tuition: $39,975 in-state and $48,195 out-of-state
2026 Cost per credit: $1,332.5 in-state and $1,606.5 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: Campus
Total tuition: $41,280
2026 Cost per credit: $860.00
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $54,000
2026 Cost per credit: $1,800.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science (M.A.S.)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $61,083
2026 Cost per credit: $1,851.00
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: Master's in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,500
2026 Cost per credit: $875.00
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Science (MS)
DASCA designation: No
Delivery method: Campus
Total tuition: $39,384
2026 Cost per credit: $1,094.00
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $47,430
2026 Cost per credit: $1,581.00
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: $21,564
2026 Cost per credit: $599.00
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $40,770 in-state | $58,530 out-of-state
2026 Cost per credit: $1,359 in-state | $1,951 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Master's in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $93,100
2026 Cost per credit: $2,586.11
Credits: 36
GRE requirement: Optional
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $61,696
2026 Cost per credit: $1,928.00
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $62,736
2026 Cost per credit: $1,742.67
Credits: 36
GRE requirement: Not required - Program: M.S. in Data Science & Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,580 in-state | $40,035 out-of-state
2026 Cost per credit: $486 in-state | $1,334.50 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: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $41,640
2026 Cost per credit: $1,388.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $38,376
2026 Cost per credit: $1,066.00
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $51,677
2026 Cost per credit: $1,667.00
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: Data Science MS
DASCA designation: No
Delivery method: Online & campus
Total tuition: $77,220
2026 Cost per credit: $2,574.00
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $33,264
2026 Cost per credit: $1,108.80
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: MS Program in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $27,900 in-state | $44,130 out-of-state
2026 Cost per credit: $930 in-state | $1,471 out-of-state
Credits: 30
GRE requirement: 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: Online & hybrid
Total tuition: $31,500
2026 Cost per credit: $875
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Science, MS
DASCA designation: No
Delivery method: Campus
Total tuition: $84,240
2026 Cost per credit: $2,340.00
Credits: 36
GRE requirement: Optional
Learn more: Program details - Program: Master of Science in Data Science and Engineering
DASCA designation: No
Delivery method: Online & campus
Total tuition: $47,100
2026 Cost per credit: $1,570.00
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: Data Science, M.S.
DASCA designation: No
Delivery method: Campus
Total tuition: $49,200
2026 Cost per credit: $1,640.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science & Strategic Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $28,032 in-state | $45,040 out-of-state
2026 Cost per credit: $934.4 in-state | $1,501.33 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science and Analytics, M.S.
DASCA designation: No
Delivery method: Campus
Total tuition: $14,130 in-state | $29,730 out-of-state
2026 Cost per credit: $471 in-state | $991 out-of-state
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: $15,543 in-state | $34,353 out-of-state
2026 Cost per credit: $471 in-state | $1,041 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: Campus
Total tuition: $21,536.7 in-state | $37,332 out-of-state
2026 Cost per credit: $717.89 in-state | $1,244.40 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $19,608 in-state | $35,024 out-of-state
2026 Cost per credit: $544.67 in-state | $972.89 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: 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: Data Science Master's Program
DASCA designation: No
Delivery method: Campus
Total tuition: $53,970
2026 Cost per credit: $1,799.00
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $27,816 in-state | $56,636 out-of-state
2026 Cost per credit: $772.67 in-state | $1,573.22 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: $14,820 in-state | $36,330 out-of-state
2026 Cost per credit: $494 in-state | $1,211 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $96,320
2026 Cost per credit: $2,006.67
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $41,230
2026 Cost per credit: $1,085.00
Credits: 38
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $49,830 in-state | $60,570 out-of-state
2026 Cost per credit: $1,661 in-state | $2,019 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $36,828
2026 Cost per credit: $1,116.00
Credits: 33
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 Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $27,241.5 in-state | $67,996.5 out-of-state
2026 Cost per credit: $825.50 in-state | $2,060.50 out-of-state
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $79,320
2026 Cost per credit: $2,644.00
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $69,120 in-state | $119,040 out-of-state
2026 Cost per credit: $2,304 in-state | $3,968 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master's of Science in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $54,978.5 in-state | $86,676 out-of-state
2026 Cost per credit: $1,773.50 in-state | $2,796 out-of-state
Credits: 31
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: $19,020 in-state | $43,827 out-of-state
2026 Cost per credit: $634 in-state | $1,460.90 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science In Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $35,550
2026 Cost per credit: $1,185.00
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Data Science and Business Analytics, M.S.
DASCA designation: No
Delivery method: Campus
Total tuition: $8,875.02 in-state | $37,816.02 out-of-state
2026 Cost per credit: $268.94 in-state | $1,145.94 out-of-state
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $27,854.28 in-state | $42,434.28 out-of-state
2026 Cost per credit: $773.73 in-state | $1,178.73 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S.E. in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $42,420
2026 Cost per credit: $1,414.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: MS in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $61,500
2026 Cost per credit: $2,050.00
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Data Science & Artificial Intelligence, MS
DASCA designation: No
Delivery method: Campus
Total tuition: $59,325
2026 Cost per credit: $1,695.00
Credits: 35
GRE requirement: Not required
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: $1,350.00
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: $26,105.97 in-state | $35,836.02 out-of-state
2026 Cost per credit: $791.09 in-state | $1,085.94 out-of-state
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: Yes
Delivery method: Campus
Total tuition: $53,325
2026 Cost per credit: $1,185.00
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: Data Science M.S.
DASCA designation: No
Delivery method: Campus
Total tuition: $11,328 in-state | $31,117.2 out-of-state
2026 Cost per credit: $377.60 in-state | $1,037.24 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science - MS
DASCA designation: No
Delivery method: Campus
Total tuition: $26,310.6 in-state | $86,404.2 out-of-state
2026 Cost per credit: $877.02 in-state | $2,880.14 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: M.S. in Data Science
DASCA designation: No
Delivery method: Campus
Total tuition: $65,973
2026 Cost per credit: $2,199.09
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Master's in Data Science
DASCA designation: No
Delivery method: Online & campus
Total tuition: $50,700
2026 Cost per credit: $1,690.00
Credits: 30
GRE requirement: Not required
Learn more: Program details
Expert Advice
Find the latest interviews with subject matter experts and people working at the forefront of their field and get advice on Data Science directly from some of the world’s leading authorities. Learn more about all the different pathways and opportunities available in tech today.
- How did you first get into computer science (what kind of degree or work experience led you to the field?)
- Why get a master’s in computer science, and why now?
- What’s the best way to prepare for a computer science master’s program? What kinds of skills or experience should students have?
- What else will students learn, besides computer science?
- What types of jobs are computer science graduates finding? Is there a favorite company or organization amongst students?
- If you had to choose one or two books, articles, documentaries, podcasts, etc. to be included on a required reading list for computer science students, what would it be?