A master’s in data analytics is a graduate degree for students and working professionals who want to use data to solve business, operational, healthcare, financial, policy, marketing, product, or technology problems.
These programs usually combine statistics, SQL, Python or R, data visualization, databases, predictive modeling, business intelligence, machine learning, analytics strategy, and a capstone or applied project.
The best data analytics master’s programs do more than teach tools. They help students build the technical, statistical, and communication skills needed to turn messy data into useful decisions.
Some programs are designed for analysts who already work with dashboards and reports. Others are built for career changers, business professionals, IT workers, or STEM graduates who want a more applied analytics credential.
A master’s in data analytics can be worth it if the program fits your goals, budget, schedule, and technical readiness. It is not the only path into analytics, however.
Depending on your background, a master’s in data science, master’s in business analytics, applied statistics degree, AI master’s, graduate certificate, bootcamp, or professional certification may be a better fit.
Outcomes depend on your technical skills, portfolio, prior experience, industry, location, and the job market. Tuition, fees, GRE policies, and program formats can change by academic year. Verify with the university before applying.
Quick Facts: Master’s in Data Analytics
| Category | Quick answer |
| Common degree names | MS in Data Analytics, MS in Applied Data Analytics, Master of Data Analytics, MS in Analytics, MPS in Analytics, MS in Data Science and Analytics |
| Typical credits | 30–45 credits, though some programs may require more |
| Typical length | 12–24 months full time; 2–3 years part time |
| Common formats | Campus, online, hybrid, low-residency, evening/weekend, executive format |
| Common prerequisites | Bachelor’s degree, statistics, quantitative reasoning, programming, SQL or databases, business or technical preparation |
| Common tools | SQL, Python, R, Tableau, Power BI, Excel, Git, Spark, Snowflake, BigQuery, Databricks, dbt, cloud platforms |
| Common courses | Statistics, databases, visualization, business intelligence, predictive analytics, machine learning, data mining, data governance, capstone |
| Best fit | Analysts, BI professionals, business analysts, IT professionals, quantitative career changers, and working professionals who want applied analytics training |
| Career paths | Data analyst, BI analyst, data scientist, analytics manager, data engineer, operations analyst, marketing analyst, systems analyst |
| Cost range | Varies widely; public and regional programs may be under $20,000, while premium private programs may exceed $70,000 |
| Key caution | A degree can help, but employers still evaluate technical skills, portfolio quality, domain knowledge, communication, and work experience |
What Is a Master’s in Data Analytics?
A master’s in data analytics is a graduate program focused on using data to answer practical questions. Students learn how to gather, clean, analyze, model, visualize, and communicate data so organizations can make better decisions.
Data analytics sits between statistics, business intelligence, computer science, and domain expertise. It is usually more applied than a statistics degree, less research-heavy than some data science programs, and often more technical than a business analytics program.
Common topics include:
- Data cleaning and preparation
- Statistics and probability
- SQL and relational databases
- Data visualization and dashboard design
- Business intelligence and decision support
- Predictive analytics and forecasting
- Machine learning foundations
- Data governance and ethics
- Cloud analytics and big data systems
- Capstone or applied analytics projects
A strong program should help students build both technical skill and business judgment. Employers often need analysts who can ask good questions, evaluate data quality, explain uncertainty, and communicate insights to nontechnical stakeholders.
Tuition rates
Based on 47 MS Data Analytics programs, with average totals, per-credit practical lows to premiums:
- 4 accredited schools recognized by DASCA
- Average Total Cost: $39,750.16.
- Lowest Per-Credit Rate: $376.75.
- Highest Per-Credit Rate: $2,760.
The Best Master’s in Data Analytics Degree Programs for 2026
- Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $61,166
2026 Cost per credit: $1,799
Credits: 34
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $99,144
2026 Cost per credit: $2,754
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Analytics & Business Computing
DASCA designation: Yes
Delivery method: Campus
Total tuition: $74,736
2026 Cost per credit: $2,076
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: MS in Applied Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $110,403
2026 Cost per credit: $2,760
Credits: 40
GRE requirement: Not required
Learn more: Program details - Program: Master of Professional Studies in Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $54,315
2026 Cost per credit: $1,207
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics and Visualization
DASCA designation: No
Delivery method: Campus
Total tuition: $42,000
2026 Cost per credit: $1,400
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $65,850
2026 Cost per credit: $2,195
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $30,480 in-state | $38,370 out-of-state
2026 Cost per credit: $1,016 in-state | $1,279 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics and Visualization, MS
DASCA designation: No
Delivery method: Campus
Total tuition: $65,232
2026 Cost per credit: $1,812
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Big Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $21,588 in-state | $34,908 out-of-state
2026 Cost per credit: $719.6 in-state | $1,163.6 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Data Analytics Master’s
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,130 in-state | $28,890 out-of-state
2026 Cost per credit: $471 in-state | $963 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $16,200
2026 Cost per credit: $450
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Digital Retailing Advanced Data Analytics Master's
DASCA designation: No
Delivery method: Online & campus
Total tuition: $16,215 in-state | $18,157.8 out-of-state
2026 Cost per credit: $540.50 in-state | $605.26 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Campus & hybrid
Total tuition: $65,000
2026 Cost per credit: $1,805.56
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $32,612
2026 Cost per credit: $1,052
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $12,220 in-state | $35,112 out-of-state
2026 Cost per credit: $339.44 in-state | $975.33 out-of-state
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $39,000
2026 Cost per credit: $975
Credits: 40
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: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $41,550
2026 Cost per credit: $1,385
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics (MS)
DASCA designation: No
Delivery method: Campus
Total tuition: $36,300
2026 Cost per credit: $1,210
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $13,563
2026 Cost per credit: $376.75
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Professional Master in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $8,634 in-state | $10,792.5 out-of-state
2026 Cost per credit: $287.80 in-state | $359.75 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics M.S.
DASCA designation: No
Delivery method: Online & campus
Total tuition: $33,000
2026 Cost per credit: $1,100
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Program Evaluation and Data Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $19,965
2026 Cost per credit: $605
Credits: 33
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: $32,514
2026 Cost per credit: $1,083.80
Credits: 30
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 vs Campus vs Hybrid Master’s in Data Analytics
| Format | Flexibility | Networking | Cost considerations | Best fit | Limitations |
| Fully online | Highest | Depends on virtual community and alumni network | May reduce relocation and commuting costs | Working professionals, remote students, caregivers | Requires self-discipline and time management |
| Hybrid | Moderate to high | Better than fully online if campus visits are meaningful | May include travel or residency costs | Students near campus or executive-format learners | Less flexible than fully online |
| Campus-based | Lower | Strongest face-to-face networking | May include relocation, commuting, and housing costs | Recent graduates, international students, full-time learners | Harder for working adults |
| Low-residency | High with short in-person sessions | Useful for cohort building | Travel and lodging costs may apply | Professionals who want some in-person interaction | Requires travel planning |
| Executive/evening format | Moderate | Strong peer network among working professionals | Often priced as premium professional education | Managers and experienced professionals | May be expensive and cohort-paced |
Related Resources
Master’s in Data Analytics vs Data Science vs Business Analytics
| Pathway | Best for | Main focus | Typical tools | Career outcomes | Limitations |
| MS in Data Analytics | Turning data into decisions | SQL, statistics, visualization, BI, predictive analytics | SQL, Python, R, Tableau, Power BI | Data analyst, BI analyst, analytics manager, operations analyst | May be less technical than data science |
| MS in Data Science | Technical modeling and ML | Machine learning, statistics, programming, data systems | Python, R, SQL, Spark, cloud tools | Data scientist, ML-adjacent roles, data engineer | May be too technical for business-focused students |
| MS in Business Analytics | Business strategy and analytics | Forecasting, optimization, dashboards, business cases | Excel, SQL, Tableau, Power BI, Python | Business analyst, analytics consultant, product analyst | May have less programming and data engineering depth |
| MS in Applied Statistics | Statistical modeling and inference | Regression, probability, experimental design, statistical theory | R, Python, SAS, statistical software | Statistician, research analyst, quantitative analyst | Less focused on business dashboards or data products |
| MS in AI or Machine Learning | AI systems and model development | Algorithms, ML, NLP, computer vision, deployment | Python, PyTorch, TensorFlow, cloud ML tools | ML engineer, AI specialist, research-adjacent roles | May be too narrow for general analytics |
| Graduate certificate | Targeted upskilling | Specific analytics tools or topics | Varies | Skill upgrade, internal promotion | Not a full graduate degree |
| Bootcamp | Fast practical training | Portfolio and applied tools | SQL, Python, Tableau, Excel | Entry-level analyst roles, portfolio building | Not equivalent to a master’s degree |
Admissions Requirements
Most master’s in data analytics programs ask for:
- Bachelor’s degree from an accredited institution
- Official transcripts
- Minimum GPA, often around 3.0
- Resume or CV
- Statement of purpose
- Letters of recommendation
- GRE or GMAT scores if required
- Prerequisite coursework in statistics, math, programming, or databases
- TOEFL, IELTS, or equivalent for some international applicants
- Work experience for some professional or executive programs
Many programs no longer require the GRE or GMAT, but policies vary. Some programs require scores, some make them optional, and others waive them for applicants with strong academic records or relevant professional experience.
Can You Apply Without a STEM Background?
Yes, but it depends on the program. Some data analytics master’s programs accept applicants from business, economics, healthcare, social science, liberal arts, IT, or other backgrounds. However, students without quantitative or technical preparation may need bridge coursework before or during the program.
Applicants without a STEM background should look for programs that clearly explain prerequisites, bridge courses, foundation modules, tutoring, and early technical support.
Common Prerequisites
| Prerequisite | Why it matters |
| Statistics | Core foundation for inference, modeling, experimentation, and uncertainty |
| College algebra or calculus | Helps with quantitative modeling, optimization, and machine learning concepts |
| Programming | Needed for data cleaning, automation, modeling, and reproducible analysis |
| SQL and databases | Essential for querying and preparing structured business data |
| Business analytics | Helps connect analysis to real decisions, metrics, and KPIs |
| Excel or spreadsheets | Still widely used in analyst workflows and business reporting |
| Linear algebra | Useful for machine learning, dimensionality reduction, and advanced analytics |
| Probability | Important for forecasting, model evaluation, and risk analysis |
| Communication/business writing | Analysts must explain findings to nontechnical stakeholders |
Curriculum and Skills
| Course area | What students learn | Common tools and skills |
| Statistics for analytics | Inference, regression, hypothesis testing, uncertainty | R, Python, Excel |
| Databases and SQL | Querying, joins, data modeling, relational databases | SQL, PostgreSQL, MySQL |
| Data visualization | Dashboards, visual storytelling, chart design | Tableau, Power BI, Python libraries |
| Predictive analytics | Forecasting, classification, regression, model evaluation | Python, R, scikit-learn |
| Machine learning | Supervised and unsupervised learning, validation, bias, deployment basics | Python, ML libraries |
| Big data systems | Distributed processing and large-scale analytics | Spark, Hadoop, cloud platforms |
| Business intelligence | Metrics, KPIs, reporting, decision support | Power BI, Tableau, Looker |
| Data governance | Privacy, ethics, quality, lineage, responsible use | Governance frameworks, documentation |
| Cloud analytics | Modern data warehouses and cloud platforms | Snowflake, BigQuery, Databricks, AWS, Azure, Google Cloud |
| Capstone/project | Applied analytics project for a real or simulated problem | Portfolio, technical report, presentation |
2026 Analytics Curriculum Trends
Analytics programs should be evaluated not only by traditional coursework but also by how well they prepare students for AI-enabled analytics work. In 2026, valuable curriculum updates include:
- Generative AI for analytics workflows
- Analytics engineering and data pipeline design
- Data governance, privacy, and compliance
- Responsible AI and model validation
- Cloud data warehouses such as Snowflake, BigQuery, and Databricks
- Data storytelling and executive communication
- Experimentation and causal inference
- AI-assisted dashboarding and natural-language querying
- Data quality, lineage, and documentation
- Business translation skills
AI is changing analytics work, but it is not eliminating the need for statistical reasoning, data quality judgment, domain expertise, and communication. In many organizations, AI makes those skills more important because analysts must validate outputs, identify flawed assumptions, and explain what the data can and cannot support.
How Much Does a Master’s in Data Analytics Cost?
Master’s in data analytics costs vary widely. In the current TechGuide 2026 data set, some public programs are listed below $15,000, while several private or premium programs are listed above $60,000.
The cost a student pays depends on tuition, required credits, fees, residency status, delivery format, course load, and financial aid.
Total tuition is not the same as total cost of attendance. Students should also consider:
- Mandatory university fees
- Online learning or technology fees
- Books and software
- Cloud computing or lab costs
- Exam proctoring fees
- Travel for hybrid or residency requirements
- Lost income or reduced work hours
- Employer tuition reimbursement
- Federal financial aid eligibility
| Cost factor | What to verify |
| Tuition per credit | Online rates may differ from campus rates |
| Total credits | A 30-credit program and a 45-credit program can differ substantially in total cost |
| Mandatory fees | Student services, technology, graduation, and distance-learning fees can add cost |
| Residency pricing | Public universities may charge different in-state and out-of-state rates |
| Course load | Full-time and part-time enrollment may affect billing and aid |
| Modality | Online, campus, hybrid, and executive formats may have different pricing |
| Software/cloud costs | Some courses require paid tools, cloud credits, or specialized software |
| Financial aid eligibility | Confirm whether the program qualifies for federal aid |
| Employer reimbursement | Ask whether your employer covers graduate tuition and whether annual limits apply |
Is a Master’s in Data Analytics Worth It?
A master’s in data analytics can be worth it when it helps you build skills, complete portfolio-ready projects, qualify for analytics roles, or move into more advanced responsibilities.
It is most valuable when the program is affordable, reputable, technically relevant, and aligned with your target role.
| Student type | Worth-it assessment |
| Current data analyst | Strong fit if the program adds Python/R, SQL, predictive analytics, data governance, and leadership skills |
| Business analyst | Good fit if moving toward BI, data analytics, product analytics, or analytics management |
| BI/reporting professional | Good fit if the curriculum expands beyond dashboards into statistics, modeling, and data systems |
| Career changer | Possible, but choose a program with prerequisites, bridge support, and applied projects |
| Software/IT professional | Good fit if moving into data engineering, analytics engineering, or data platforms |
| Recent bachelor’s graduate | Useful if paired with internships, capstones, and portfolio projects |
| Student seeking fast entry-level training | A bootcamp or certificate may be faster and cheaper |
| Research-focused student | Consider data science, statistics, computer science, or a PhD pathway |
| Budget-conscious learner | Compare public programs, employer reimbursement, and lower-cost online options |
A graduate degree is not a job guarantee. Employers still evaluate applied skills, experience, communication, portfolio quality, and interview performance.
Career Paths, Salary, and Job Outlook
A master’s in data analytics can support several career paths, but job titles vary across employers. “Data analyst,” “BI analyst,” “analytics consultant,” and “analytics manager” may map to different BLS categories depending on industry and duties.
Use BLS data as a labor-market benchmark, not as a salary guarantee.
| Career path | Relevant BLS occupation | Median pay, May 2024 | 2024–2034 outlook | Master’s relevance | Notes |
| Data scientist | Data scientists | $112,590 | 34% growth | Helpful for technical analytics, ML, and modeling roles | Strong fit if curriculum includes statistics, ML, programming, and data systems |
| Operations analyst | Operations research analysts | $91,290 | 21% growth | Helpful for optimization, forecasting, and decision science | Common in supply chain, logistics, finance, and operations |
| Market/customer insights analyst | Market research analysts | $76,950 | 7% growth | Helpful for marketing, product, and consumer analytics | Often values survey, segmentation, and visualization skills |
| Research/AI-focused role | Computer and information research scientists | $140,910 | 20% growth | Stronger fit for research-oriented or technical programs | Some roles may require advanced research training |
| Database architect/data platform role | Database administrators and architects | $104,620 for DBAs; $135,980 for database architects | Verify current BLS projection | Useful if program includes databases, cloud, and data engineering | More technical than many analyst roles |
| Business/systems analyst | Computer systems analysts | $103,790 | 9% growth | Helpful when analytics overlaps with IT systems and process improvement | Good fit for business + technology backgrounds |
| Analytics manager / IT manager | Computer and information systems managers | $171,200 | 15% growth | Helpful with experience; management roles require work history | Degree alone is not enough for management |
| Management consultant / business analyst | Management analysts | $101,190 | 9% growth | Helpful for analytics consulting and decision support | Often values domain knowledge and communication |
| Computer/IT benchmark | Computer and IT occupations overall | $105,990 | Varies by occupation | Useful benchmark for tech-adjacent analytics roles | Broad category, not a specific job title |
How AI Is Changing Data Analytics Careers
AI is changing how analysts work. Many analysts now use AI-assisted tools for querying, dashboarding, summarization, documentation, code generation, exploratory analysis, and stakeholder communication. But AI does not remove the need for human judgment.
Employers still need analysts who can:
- Write and validate SQL queries
- Understand statistics and uncertainty
- Build trustworthy dashboards
- Check data quality
- Explain assumptions and limitations
- Design experiments
- Translate business questions into analytical methods
- Evaluate AI-generated outputs
- Communicate findings clearly
Strong master’s programs should include AI literacy, but they should not be judged only by how many AI tools they mention.
Look for coursework in data governance, model validation, responsible AI, cloud analytics, experimentation, and communication. These skills help analysts use AI safely and effectively.
How to Choose the Right Program
Use this checklist before applying:
- Is the program online, hybrid, or campus-based?
- Does the schedule fit your work and family responsibilities?
- Does the program publish total tuition and required fees?
- Are credits and graduation requirements clear?
- Does it require the GRE or GMAT?
- Does it teach SQL, Python or R, visualization, statistics, and predictive analytics?
- Does it include a capstone, practicum, internship, or portfolio project?
- Are there electives in AI, machine learning, business analytics, cloud analytics, or data engineering?
- Are faculty and career services accessible to online and part-time students?
- Is the program STEM-designated, if that matters for your goals?
- Are international student policies clear?
- Does the program support your target role?
- Are alumni outcomes, employer partnerships, or project examples available?
- Can you speak with admissions, current students, or alumni before applying?
Red Flags to Watch For
- Unclear tuition or hidden fees
- No published curriculum
- No capstone, practicum, or portfolio opportunity
- Vague “AI” or “data” claims without technical coursework
- Poor state authorization clarity for online students
- Unclear accreditation
- Limited support for online or part-time students
- No admissions transparency
- Overpromised salary outcomes
- No clear prerequisite guidance
- Conflicting GRE or cost information across pages
Application Timeline and Checklist
| Timeline | What to do |
| 12 months before applying | Research programs, compare data analytics vs data science vs business analytics, and identify prerequisites |
| 9 months before applying | Build a shortlist, verify costs, check GRE/GMAT policies, and confirm online/campus formats |
| 6 months before applying | Request transcripts, ask for recommendations, and begin prerequisite coursework if needed |
| 3 months before applying | Draft the statement of purpose and update your resume with analytics projects |
| 1 month before applying | Finalize applications, confirm deadlines, and review tuition/aid options |
| After admission | Compare financial aid, employer reimbursement, course plans, capstone options, and student support |
Application checklist:
- Define your target role
- Compare degree types
- Verify tuition and fees
- Confirm credits and format
- Check GRE/GMAT policy
- Review prerequisites
- Review curriculum and electives
- Confirm capstone/project options
- Gather transcripts
- Update resume
- Request recommendations
- Write statement of purpose
- Confirm international student policies, if applicable
- Apply before priority deadlines
Frequently Asked Questions
Graduates may pursue roles such as data analyst, BI analyst, business analyst, data scientist, operations analyst, marketing analyst, data engineer, analytics consultant, or analytics manager. Job titles vary by employer and industry.
Not always. Some programs accept applicants from business, economics, healthcare, social science, IT, or other backgrounds. However, students may need preparation in statistics, programming, SQL, or quantitative methods.
Some require the GRE, some make it optional, and many do not require it. GRE and GMAT policies change, so verify with each university before applying.
Data analytics usually focuses on interpreting data to support decisions, dashboards, reporting, business intelligence, and applied modeling. Data science is often more technical and may emphasize machine learning, algorithms, data systems, and advanced modeling.
It depends on your goal. A bootcamp may be faster and cheaper for learning practical tools or building an entry-level portfolio. A master’s degree is broader, more rigorous, and may be more valuable for long-term advancement or roles that prefer graduate education.
Common languages and tools include SQL, Python, R, Excel, Tableau, Power BI, and sometimes Spark, Java, Scala, or cloud analytics tools. Requirements vary by program.
Potential roles include data analyst, BI analyst, business analyst, data scientist, analytics consultant, operations analyst, marketing analyst, data engineer, and analytics manager. Prior experience and portfolio quality strongly affect outcomes.
Many programs accept international applicants, but online-only enrollment may not provide the same visa, CPT, or OPT benefits as campus-based study. International students should verify policies directly with each university.
Some are, but not all. STEM designation should be verified directly with the university and, when relevant, the official program classification.
Look for a capstone that uses real or realistic data, requires data cleaning and analysis, includes visualization or modeling, results in a portfolio-ready deliverable, and requires clear communication to stakeholders.
Data Analytics Master’s School Listings
- Program: MS in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $27,951
2026 Cost per credit: $847
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $12,220 in-state | $35,112 out-of-state
2026 Cost per credit: $339.44 in-state | $975.33 out-of-state
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Program Evaluation and Data Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $19,965
2026 Cost per credit: $605
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: MS in Big Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $46,800
2026 Cost per credit: $1,300
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $30,480 in-state | $38,370 out-of-state
2026 Cost per credit: $1,016 in-state | $1,279 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Applied Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $110,403
2026 Cost per credit: $2,760
Credits: 40
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $39,000
2026 Cost per credit: $975
Credits: 40
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $99,144
2026 Cost per credit: $2,754
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $18,900
2026 Cost per credit: $525
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Analytics and Applied Artificial Intelligence, MS
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,523 in-state | $17,992.5 out-of-state
2026 Cost per credit: $484.10 in-state | $599.75 out-of-state
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
2026 Cost per credit: $797
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $65,850
2026 Cost per credit: $2,195
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $30,312
2026 Cost per credit: $842
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,374.8 in-state | $32,144.7 out-of-state
2026 Cost per credit: $479.16 in-state | $1,071.49 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS Data Analytics & Strategic Business Intelligence
DASCA designation: No
Delivery method: Campus
Total tuition: $42,210
2026 Cost per credit: $1,407
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Professional Master in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $8,634 in-state | $10,792.5 out-of-state
2026 Cost per credit: $287.80 in-state | $359.75 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: MS in Data Analytics & Business Computing
DASCA designation: Yes
Delivery method: Campus
Total tuition: $74,736
2026 Cost per credit: $2,076
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $8,825.1 in-state | $30,158.4 out-of-state
2026 Cost per credit: $294.17 in-state | $1,005.28 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Professional Studies in Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $54,315
2026 Cost per credit: $1,207
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics and Artificial Intelligence
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,470
2026 Cost per credit: $1,049
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science & Analytics (M.S.)
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: Accounting Data Analytics and Technologies, MS
DASCA designation: No
Delivery method: Online & campus
Total tuition: $68,640
2026 Cost per credit: $1,560
Credits: 44
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $35,850 in-state | $59,760 out-of-state
2026 Cost per credit: $1,195 in-state | $1,992 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Data Analytics and Visualization, MS
DASCA designation: No
Delivery method: Campus
Total tuition: $65,232
2026 Cost per credit: $1,812
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics M.S.
DASCA designation: No
Delivery method: Online & campus
Total tuition: $33,000
2026 Cost per credit: $1,100
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $32,612
2026 Cost per credit: $1,052
Credits: 31
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Big Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $21,588 in-state | $34,908 out-of-state
2026 Cost per credit: $719.6 in-state | $1,163.6 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Data Analytics Master’s
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,130 in-state | $28,890 out-of-state
2026 Cost per credit: $471 in-state | $963 out-of-state
Credits: 30
GRE requirement: Optional
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 Analytics
DASCA designation: No
Delivery method: Campus & hybrid
Total tuition: $65,000
2026 Cost per credit: $1,805.56
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: Data Analytics and Information Systems (M.S.)
DASCA designation: No
Delivery method: Campus
Total tuition: $10,720.8 in-state | $22,870.8 out-of-state
2026 Cost per credit: $357.36 in-state | $762.36 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $41,550
2026 Cost per credit: $1,385
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics (MSDA)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $25,572 in-state | $27,336 out-of-state
2026 Cost per credit: $710.33 in-state | $759.33 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics Master's Degree
DASCA designation: No
Delivery method: Campus
Total tuition: $28,746.9 in-state | $59,126.4 out-of-state
2026 Cost per credit: $958.23 in-state | $1,970.88 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $61,166
2026 Cost per credit: $1,799
Credits: 34
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics (MS)
DASCA designation: No
Delivery method: Campus
Total tuition: $36,300
2026 Cost per credit: $1,210
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Security and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $25,500
2026 Cost per credit: $750
Credits: 34
GRE requirement: Not required
Learn more: Program details - Program: Masters of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $13,237.5 in-state | $24,217.5 out-of-state
2026 Cost per credit: $441.25 in-state | $807.25 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $13,563
2026 Cost per credit: $376.75
Credits: 36
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: $32,514
2026 Cost per credit: $1,083.80
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science - Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $15,472 in-state | $57,656 out-of-state
2026 Cost per credit: $429.78 in-state | $1601.56 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Digital Retailing Advanced Data Analytics Master's
DASCA designation: No
Delivery method: Online & campus
Total tuition: $16,215 in-state | $18,157.8 out-of-state
2026 Cost per credit: $540.50 in-state | $605.26 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $16,200
2026 Cost per credit: $450
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $25,323.75 in-state | $53,934.54 out-of-state
2026 Cost per credit: $844.13 in-state | $1797.82 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $34,272
2026 Cost per credit: $952
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $27,900
2026 Cost per credit: $775
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics and Visualization
DASCA designation: No
Delivery method: Campus
Total tuition: $42,000
2026 Cost per credit: $1,400
Credits: 30
GRE requirement: Not required
Learn more: Program details