A PhD in business analytics is a research-focused doctorate for students who want to study how organizations use data, statistics, machine learning, optimization, information systems, and decision science to solve complex business problems.
These programs are usually designed for future professors, academic researchers, research scientists, and advanced analytics professionals—not simply for students who want the fastest path into a data analyst or analytics manager role.
Because dedicated business analytics PhD programs are relatively rare, strong options may appear under related names such as PhD in Business Analytics and Operations, PhD in Operations, Business Analytics, and Information Systems, PhD in Information Systems and Business Analytics, PhD in Operations and Business Analytics, or PhD in Business Administration with an analytics concentration.
The best program depends less on the name of the degree and more on research fit, faculty expertise, funding, dissertation support, quantitative rigor, and career placement.
This guide compares business analytics PhD programs, online and low-residency options, admissions requirements, funding models, curriculum, career paths, and salary data so prospective doctoral students can decide whether a PhD is the right next step.
What Is a PhD in Business Analytics?
A PhD in business analytics is a doctoral degree focused on original research. Students learn to develop, test, and apply quantitative methods that help organizations make better decisions.
Unlike many master’s programs, which focus on applied tools and job-ready skills, PhD programs emphasize theory, research design, methodological rigor, academic publishing, and dissertation research.
Business analytics doctoral research may draw from:
- Statistics
- Econometrics
- Optimization
- Operations research
- Machine learning
- Information systems
- Management science
- Decision science
- Computer science
- Marketing, finance, healthcare, logistics, or supply chain management
Common research topics include predictive modeling, AI and machine learning in business, healthcare analytics, marketing analytics, risk analytics, responsible AI, decision support systems, causal inference, forecasting, simulation, business intelligence systems, and supply chain optimization.
A PhD is usually not necessary for most entry-level or mid-level analytics roles. It is most useful for people who want to conduct original research, teach at the university level, publish in academic journals, or work in research-heavy industry roles.
Related Resources
Tuition rates
Delve into tuition for Business Analytics PhD from 13 campus schools, covering total programs, per-credit research-optimized spreads, and an average for strategy-optimization doctorates:
- Average total cost: $65,264
- Cost range per credit: $587 (lowest) to $1,851 (highest)
Best PhD in Business Analytics Programs for 2026
- Program: PhD in Business with a Specialization in Operations and Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $85,380
2025/2026 Cost per credit: $1,423
Credits: 60
GRE requirement: Required
Learn more: Program details - Program: PhD in Business Analytics and Operations
DASCA designation: No
Delivery method: Campus
Total tuition: $35,751 in-state | $52,071 out-of-state
2025/2026 Cost per credit: $701 in-state | $1,021 out-of-state
Credits: 51
GRE requirement: Required
Learn more: Program details - Program: Hospitality Business Analytics (Ph.D.)
DASCA designation: No
Delivery method: Campus
Total tuition: $60,264 in-state | $86,670 out-of-state
2025/2026 Cost per credit: $1,116 in-state | $1,605 out-of-state
Credits: 54
GRE requirement: Required
Learn more: Program details - Program: DBA Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $62,160
2025/2026 Cost per credit: $1,110
Credits: 56
GRE requirement: Required
Learn more: Program details - Program: Phd in Business Administration Business Analytics Concentration
DASCA designation: No
Delivery method: Campus
Total tuition: $40,140
2025/2026 Cost per credit: $669
Credits: 60
GRE requirement: Not required
Learn more: Program details - Program: Management Science and Analytics (Ph.D.)
DASCA designation: No
Delivery method: Campus
Total tuition: $133,272
2025/2026 Cost per credit: $1,851
Credits: 72
GRE requirement: Required
Learn more: Program details - Program: PhD in Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $23,256 in-state | $67,464 out-of-state
2025/2026 Cost per credit: $323 in-state | $937 out-of-state
Credits: 72
GRE requirement: Required
Learn more: Program details - Program: Information Systems and Business Analytics, PhD
DASCA designation: No
Delivery method: Campus
Total tuition: $16,416 in-state | $38,016 out-of-state
2025/2026 Cost per credit: $342 in-state | $792 out-of-state
Credits: 48
GRE requirement: Required
Learn more: Program details - Program: Ph.D. in Business Analytics & Statistics
DASCA designation: No
Delivery method: Campus
Total tuition: $27,600 in-state | $64,560 out-of-state
2025/2026 Cost per credit: $575 in-state | $1,345 out-of-state
Credits: 48
GRE requirement: Required
Learn more: Program details - Program: PhD: Information Systems and Business Analytics Specialization
DASCA designation: No
Delivery method: Campus
Total tuition: $26,714 in-state | $62,974 out-of-state
2025/2026 Cost per credit: $361 in-state | $851 out-of-state
Credits: 74
GRE requirement: Required
Learn more: Program details - Program: PhD in Operations, Business Analytics, and Information Systems
DASCA designation: No
Delivery method: Campus
Total tuition: $67,140 in-state | $52,830 out-of-state
2025/2026 Cost per credit: $746 in-state | $587 out-of-state
Credits: 90
GRE requirement: Required
Learn more: Program details - Program: Operations and Business Analytics PhD Program
DASCA designation: No
Delivery method: Campus
Total tuition: $29,550 in-state | $50,250 out-of-state
2025/2026 Cost per credit: $394 in-state | $670 out-of-state
Credits: 75
GRE requirement: Required
Learn more: Program details
These rankings were compiled from data accessed in March 2026 from the Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services of the National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of March 2026. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.
2025 Rankings
2024 Rankings
Best Online PhD in Business Analytics for 2026
- Program: Doctor of Philosophy (PhD) in Business Analytics and Data Science
Delivery Method: Online
Total tuition: $58,200
2025/2026 Cost per credit: $970
Credits: 60
GRE requirement: Not Required
Learn more: Program details
These rankings were compiled from data accessed in March 2026 from the Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services of the National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of March 2026. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.
2025 Rankings
PhD vs DBA vs Master’s in Business Analytics
| Degree | Best For | Research Focus | Typical Student | Dissertation or Capstone | Common Outcome |
| PhD in Business Analytics | Future professors, researchers, research scientists | High | Full-time doctoral student with strong quantitative preparation | Dissertation | Academic research, faculty roles, research-heavy industry roles |
| DBA in Business Analytics | Senior professionals and executives | Applied research | Working professional with leadership experience | Dissertation or applied doctoral project | Executive, consulting, teaching, or applied leadership roles |
| Master’s in Business Analytics | Students seeking analytics jobs faster | Low to moderate | Early- or mid-career professional | Capstone or applied project | Data analyst, business analyst, analytics manager |
| MBA with Business Analytics concentration | Managers who want analytics literacy | Low | Business professional seeking leadership roles | Capstone, consulting project, or coursework | Product, strategy, operations, or management roles |
| PhD in Data Science | Students focused on data science methods and computation | High | Quantitative student interested in ML, statistics, computing | Dissertation | Research scientist, professor, advanced data scientist |
| PhD in Information Systems | Students interested in technology, organizations, platforms, systems, and data | High | Student interested in business technology research | Dissertation | IS professor, researcher, digital transformation researcher |
| PhD in Operations Research or Management Science | Students focused on optimization, modeling, logistics, and decision systems | High | Quantitative student interested in mathematical modeling | Dissertation | OR researcher, professor, advanced optimization roles |
A PhD is usually the strongest fit for students who want to publish original research or teach at a university. A DBA may be better for senior professionals focused on applied business leadership. A master’s degree is usually faster, less research-intensive, and more practical for most analytics career transitions.
Is a PhD in Business Analytics Worth It?
A PhD in business analytics may be worth it if you want to become a professor, conduct original research, publish in scholarly journals, teach at the university level, or pursue highly quantitative research roles in industry, government, consulting, logistics, healthcare analytics, finance, or AI strategy.
It may also be worth it if you receive strong funding. A funded PhD can reduce tuition burden, although students still need to consider stipend size, local cost of living, fees, health insurance, summer funding, and the opportunity cost of leaving full-time employment.
A PhD may not be worth it if your main goal is a faster salary increase, a quick career pivot, or a practical analytics role that does not require original research. In those cases, a master’s in business analytics, data science master’s, MBA, certificate, bootcamp, or professional certification may offer a faster and more direct path.
Bottom line: Choose a PhD if your goal is research. Choose a master’s, MBA, certificate, or bootcamp if your goal is faster applied career mobility.
How Long Does a PhD in Business Analytics Take?
A full-time PhD in business analytics typically takes four to six years, although timelines vary. Cincinnati states that its OBAIS PhD normally takes four to five years of full-time work and that it does not accept part-time doctoral students.
Typical phases include:
| Phase | What Happens |
| Coursework | Advanced statistics, machine learning, optimization, econometrics, research seminars, and domain electives |
| Research methods training | Quantitative methods, experimental design, causal inference, data mining, simulation, and academic writing |
| Research assistantship or teaching assistantship | Students may support faculty research or teach/assist with classes |
| Qualifying or comprehensive exams | Students demonstrate readiness for dissertation research |
| Early research papers | Some programs require first- or second-year papers |
| Dissertation proposal | Student defines research question, method, data, and contribution |
| Dissertation research | Original research conducted under faculty supervision |
| Dissertation defense | Final oral defense before a committee |
Admissions Requirements
| Requirement | What Applicants Should Know |
| Bachelor’s or master’s degree | Some programs accept bachelor’s graduates; others prefer or require graduate preparation |
| Quantitative preparation | Statistics, calculus, linear algebra, probability, programming, and research methods are valuable |
| Academic background | Business, economics, statistics, math, engineering, computer science, information systems, data science, or operations research can be relevant |
| GRE/GMAT | Required, optional, or waived depending on the program |
| Research experience | Thesis, publications, research assistantships, analytics projects, or academic writing samples can strengthen an application |
| Statement of purpose | Should focus on research interests, faculty fit, methods, and long-term goals |
| Letters of recommendation | Academic or research-focused letters are usually strongest |
| Resume/CV | Should show analytics, technical, research, teaching, or leadership experience |
| Interview | Often used to assess research maturity and fit |
A master’s in business is not always required. Some programs accept applicants from quantitative or technical fields such as engineering, statistics, computer science, economics, mathematics, information systems, or operations research.
FIU, for example, states that its PhD in Business Administration may admit candidates with bachelor’s degrees in any discipline, although prerequisites or tutorials may be required for applicants without business preparation.
What You’ll Study in a Business Analytics PhD Program
| Course or Research Area | What It Covers | Why It Matters |
| Applied statistics | Regression, inference, probability, modeling | Foundation for empirical research |
| Machine learning | Supervised, unsupervised, and semi-supervised learning | Supports predictive modeling and AI research |
| Econometrics | Causal inference, panel data, treatment effects | Useful for business, policy, and strategy research |
| Optimization | Linear, integer, stochastic, and nonlinear optimization | Important for logistics, operations, and decision models |
| Operations research | Decision models, scheduling, routing, simulation | Core for operations and supply chain analytics |
| Data mining | Pattern discovery, classification, clustering | Used in customer, finance, marketing, and platform research |
| Research methods | Theory building, hypothesis testing, design | Essential for academic publishing |
| Experimental design | Field, lab, and online experiments | Useful for marketing, platforms, and decision science |
| Simulation | Discrete-event, agent-based, and stochastic simulation | Helps model complex systems |
| Information systems | Technology adoption, platforms, governance | Connects analytics with organizations and technology |
| AI governance and ethics | Fairness, explainability, accountability, model risk | Increasingly important in analytics research and practice |
| Supply chain analytics | Inventory, logistics, forecasting, procurement | Strong applied domain for analytics PhD research |
Tennessee’s program, for example, includes coursework in statistical learning, applied optimization and data analytics, data science for business research, and machine learning, along with customized electives.
Common Research Areas in Business Analytics PhD Programs
| Research Area | Example Topics |
| Machine learning for business | Forecasting, classification, recommender systems, predictive modeling |
| Operations research | Optimization, routing, scheduling, decision models |
| Supply chain analytics | Inventory, logistics, risk, resilience, procurement |
| Information systems | Digital platforms, user behavior, enterprise systems, data governance |
| Marketing analytics | Attribution, customer lifetime value, pricing, personalization |
| Healthcare analytics | Patient flow, resource allocation, health operations |
| Responsible AI | Bias, fairness, explainability, governance, model risk |
| Generative AI in business | LLM evaluation, workflow automation, AI adoption, decision support |
| Financial analytics | Risk modeling, fraud detection, pricing, portfolio analytics |
| Organizational analytics | Workforce analytics, productivity, decision-making, digital transformation |
Generative AI, responsible AI, model risk management, automation, data governance, and decision intelligence are increasingly relevant research areas because organizations are adopting AI-enabled systems while also needing evidence, accountability, human oversight, and measurable business value.
Cost, Funding, Stipends, and Assistantships
Sticker tuition does not tell the full story for a PhD in business analytics. Many full-time research PhD programs offer funding packages that may include tuition remission, stipends, health insurance, teaching assistantships, research assistantships, fellowships, and conference support.
However, funding is not universal. Professional doctorates, executive-style PhD programs, DBA programs, and online doctorates may be self-funded or offer limited aid compared with traditional campus-based PhD programs.
| Funding Type | What It Means | Questions to Ask |
| Tuition remission | University covers all or part of tuition | Does it cover all credits, dissertation credits, and fees? |
| Research assistantship | Student supports faculty research | How many hours per week? Which faculty or lab? |
| Teaching assistantship | Student teaches or assists with courses | Is teaching required? Is training provided? |
| Fellowship | Funding not always tied to work duties | Is it renewable? For how many years? |
| Annual stipend | Living allowance paid during the academic year | Is it enough for local cost of living? |
| Health insurance support | University subsidizes insurance | Are premiums, dependents, or fees covered? |
| Conference travel funding | Support for presenting research | How much is available per year? |
| Summer funding | Stipend or research work during summer | Is summer guaranteed or competitive? |
| Dissertation extension funding | Support beyond standard funding window | What happens if the dissertation takes longer? |
Funding questions to ask:
- Is funding guaranteed?
- For how many years?
- What is the annual stipend?
- Does funding include tuition remission?
- Are university fees covered?
- Is health insurance included?
- Are summer months funded?
- What teaching or research work is required?
- What happens if dissertation work takes longer than expected?
- Are international students eligible for the same funding package?
South Alabama’s executive-style PhD specifically states that it does not offer assistantships, while UMSL states that competitive graduate assistantships provide stipends and tuition waivers for full-time PhD students.
How to Choose a Business Analytics PhD Program
A strong program is not simply the one with the best brand name. The best fit is the program where your research interests match faculty expertise and where the funding, culture, and placement outcomes support your goals.
Evaluate:
- Faculty research fit
- Recent faculty publications
- Placement outcomes
- Funding package
- Stipend versus local cost of living
- Research centers or labs
- Access to data
- Industry partnerships
- Teaching opportunities
- Conference support
- Program culture
- Advisor availability
- Time to completion
- Quantitative rigor
- Interdisciplinary options
- Online, hybrid, or campus format
- International student support
- STEM designation, if applicable
Red Flags
- No clear faculty research match
- No transparent funding information
- Vague dissertation expectations
- Limited placement data
- High tuition with little funding
- Unclear online residency requirements
- Outdated curriculum
- Overly broad career claims
- No recent faculty publications in your area
- No clear process for advisor changes or dissertation support
Career Paths With a PhD in Business Analytics
Graduates may work in academia, research organizations, consulting, government, technology, healthcare, finance, logistics, operations, or corporate analytics. A PhD is most valuable when the role requires advanced methods, original research, publication, model development, or complex decision science.
| Career Path | Typical Work | Why a PhD Helps |
| Business school professor | Research, teaching, publishing, advising | Required or strongly preferred for many tenure-track roles |
| Analytics researcher | Original research and model development | Builds advanced methods and publishing experience |
| Data scientist | Modeling, experimentation, ML systems | Deep quantitative training can help in research-heavy roles |
| Operations research analyst | Optimization, simulation, decision modeling | Strong fit for analytics PhD methods |
| Management consultant | Strategy, analytics, transformation | Useful for complex business problems |
| AI governance or model risk specialist | Evaluating risk, fairness, explainability, compliance | Research and technical depth can support high-stakes model evaluation |
| Supply chain analytics leader | Forecasting, logistics, optimization | Operations and analytics training align closely |
| Research scientist | Applied research in business, AI, or decision systems | PhD-level research training is often preferred |
Salary and Job Outlook
BLS salary data should be interpreted carefully. These occupations do not map perfectly to a PhD in business analytics, and many analytics roles require only a bachelor’s or master’s degree. A PhD is most relevant for research-heavy, academic, or highly quantitative positions.
| Occupation | 2024 Median Pay | Projected Growth, 2024–2034 | Relevance to Business Analytics PhD |
| Data scientist | $112,590 | 34% | Relevant for predictive modeling, experimentation, ML, and research-heavy analytics roles |
| Operations research analyst | $91,290 | 21% | Strong fit for optimization, logistics, decision modeling, and simulation |
| Management analyst | $101,190 | 9% | Relevant for consulting, analytics strategy, and organizational improvement |
| Postsecondary teacher | $83,980 overall; business teachers listed at $97,270 | 7% overall; business teachers 6% | Relevant for academic and teaching careers |
| Computer and information research scientist | $140,910 | 20% | Relevant for AI, ML, systems, and applied research roles |
BLS reports that data scientists had a 2024 median annual wage of $112,590 and projected 34% employment growth from 2024 to 2034. Operations research analysts had a 2024 median annual wage of $91,290 and projected 21% growth. Management analysts had a 2024 median annual wage of $101,190 and projected 9% growth.
Postsecondary teachers had a 2024 median wage of $83,980 overall, with BLS listing business teachers at $97,270, and overall employment of postsecondary teachers projected to grow 7% from 2024 to 2034. Computer and information research scientists had a 2024 median annual wage of $140,910 and projected 20% growth.
Application Timeline
12–18 Months Before Applying
- Identify research interests
- Read recent faculty publications
- Build prerequisites in statistics, calculus, linear algebra, programming, and research methods
- Prepare a research-focused CV
- Decide whether you are seeking academic or industry research roles
9–12 Months Before Applying
- Contact potential advisors if appropriate
- Prepare GRE or GMAT if required
- Draft a statement of purpose
- Request recommendation letters
- Identify writing samples or research projects
3–6 Months Before Applying
- Finalize application materials
- Submit applications before priority funding deadlines
- Prepare for interviews
- Compare programs by faculty fit, funding, and placements
After Admission
- Compare funding packages
- Review stipend versus cost of living
- Ask about advisor availability
- Review placement outcomes
- Clarify teaching and research assistantship expectations
- Understand what happens if dissertation work extends beyond the funding period
Questions to Ask Before Enrolling
- Who could realistically advise my dissertation?
- What are recent graduate placements?
- What is the average time to completion?
- What funding is guaranteed?
- What fees are not covered?
- What are the teaching requirements?
- How often do students publish before graduation?
- Are students supported for conferences?
- Can students work with industry partners?
- What happens if an advisor leaves?
- How many students leave before finishing?
- How are advisor conflicts handled?
- Are there summer funding opportunities?
- What data sources or research labs are available?
- How many doctoral students does each faculty member advise?
Frequently Asked Questions
You can pursue roles such as business school professor, analytics researcher, research scientist, data scientist, operations research analyst, management consultant, AI governance specialist, model risk specialist, or supply chain analytics researcher. Academic roles usually place the highest value on the PhD.
Many traditional full-time PhD programs offer funding through assistantships or fellowships, but funding is not guaranteed everywhere. Online, professional, executive-style, and DBA programs are more likely to be self-funded.
Fully online PhD programs in business analytics are rare. Some online or low-residency doctorates exist, but many traditional research PhD programs are campus-based.
A PhD is usually more research-focused and designed for academic or research careers. A DBA is typically more applied and designed for experienced professionals who want to solve business problems through doctoral-level applied research.
Common areas include machine learning, optimization, operations research, supply chain analytics, healthcare analytics, marketing analytics, information systems, decision science, responsible AI, generative AI, and data governance.
Some programs may be STEM-designated, but designation depends on the university, CIP code, and program classification. International students should verify STEM OPT eligibility directly with the university.
Possible nonacademic roles include data scientist, analytics researcher, research scientist, operations research analyst, AI governance specialist, model risk analyst, supply chain analytics leader, and analytics consultant.
Look for faculty with recent publications in your area, strong advising capacity, compatible methods, clear expectations, and placement history with students who pursued similar goals.
It depends on your goal. A PhD is better for research and academic careers. A master’s is usually better for faster entry into applied analytics roles.
Many programs are highly selective because cohorts are small and funding is limited. Tennessee, for example, states that it admits only three to four students each fall and funds around three or four students per cycle.
Business Analytics PhD Program Listings
Campus Programs
- Program: Doctor of Philosophy (PhD) in Business Analytics and Data Science
DASCA designation: No
Delivery method: Online
Total tuition: $52,650
2026 Cost per credit: $975
Credits: 54
GRE requirement: Not required
Learn more: Program details - Program: PhD in Business with a Specialization in Operations and Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $85,380
2026 Cost per credit: $1,423
Credits: 60
GRE requirement: Required
Learn more: Program details - Program: Information Systems and Business Analytics, PhD
DASCA designation: No
Delivery method: Campus
Total tuition: $16,416 in-state | $38,016 out-of-state
2026 Cost per credit: $342 in-state | $792 out-of-state
Credits: 48
GRE requirement: Required
Learn more: Program details - Program: DBA Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $62,160
2026 Cost per credit: $1,110
Credits: 56
GRE requirement: Required
Learn more: Program details - Program: Management Science and Analytics (Ph.D.)
DASCA designation: No
Delivery method: Campus
Total tuition: $133,272
2026 Cost per credit: $1,851
Credits: 72
GRE requirement: Required
Learn more: Program details - Program: PhD: Information Systems and Business Analytics Specialization
DASCA designation: No
Delivery method: Campus
Total tuition: $26,714 in-state | $62,974 out-of-state
2026 Cost per credit: $361 in-state | $851 out-of-state
Credits: 74
GRE requirement: Required
Learn more: Program details - Program: Ph.D. in Business Analytics & Statistics
DASCA designation: No
Delivery method: Campus
Total tuition: $27,600 in-state | $64,560 out-of-state
2026 Cost per credit: $575 in-state | $1,345 out-of-state
Credits: 48
GRE requirement: Required
Learn more: Program details - Program: PhD in Operations, Business Analytics, and Information Systems
DASCA designation: No
Delivery method: Campus
Total tuition: $67,140 in-state | $52,830 out-of-state
2026 Cost per credit: $746 in-state | $587 out-of-state
Credits: 90
GRE requirement: Required
Learn more: Program details - Program: Hospitality Business Analytics (Ph.D.)
DASCA designation: No
Delivery method: Campus
Total tuition: $60,264 in-state | $86,670 out-of-state
2026 Cost per credit: $1,116 in-state | $1,605 out-of-state
Credits: 54
GRE requirement: Required
Learn more: Program details - Program: PhD in Business Analytics
DASCA designation: No
Delivery method: Campus
Total tuition: $23,256 in-state | $67,464 out-of-state
2026 Cost per credit: $323 in-state | $937 out-of-state
Credits: 72
GRE requirement: Required
Learn more: Program details - Program: Operations and Business Analytics PhD Program
DASCA designation: No
Delivery method: Campus
Total tuition: $29,550 in-state | $50,250 out-of-state
2026 Cost per credit: $394 in-state | $670 out-of-state
Credits: 75
GRE requirement: Required
Learn more: Program details - Program: PhD in Business Analytics and Operations
DASCA designation: No
Delivery method: Campus
Total tuition: $35,751 in-state | $52,071 out-of-state
2026 Cost per credit: $701 in-state | $1,021 out-of-state
Credits: 51
GRE requirement: Required
Learn more: Program details - Program: Phd in Business Administration Business Analytics Concentration
DASCA designation: No
Delivery method: Campus
Total tuition: $40,140
2026 Cost per credit: $669
Credits: 60
GRE requirement: Not required
Learn more: Program details
Online Programs
- Program: https://www.captechu.edu/degrees-and-programs/doctoral-degrees/business-analytics-and-data-science-phd
Delivery Method: Online
Total tuition: $58,200
2026 Cost per credit: $970
Credits: 60
GRE requirement: Not Required