2027 Online Data Science Master's Programs for Virginia Residents: In-State and National Options

There is no universal best program. For a Virginia resident, the strongest shortlist starts with a Virginia-based degree and adds national programs whose curriculum, format, and price fit the intended role. These are examples to investigate, not a ranking or a complete list of schools authorized to enroll every Virginia applicant.

The table separates confirmed program identities from the fit questions that require a closer look at current catalogs and enrollment policies.

For each finalist, compare required courses and electives, live-session times in Eastern Time, project opportunities, and a written cost estimate. A Virginia institution may make optional local connections easier, but proximity alone does not establish better teaching, employer access, or value. Conversely, a national program is only a practical option after it confirms enrollment availability for someone residing in Virginia.

Check institutional accreditation and permission to enroll Virginia residents separately. Accreditation concerns the university; state authorization concerns whether an out-of-state institution may offer its distance-learning program to a student at a particular location. Neither check, by itself, establishes that a curriculum meets your career goals.

Use the university's current accreditation disclosure to identify its recognized institutional accreditor, then check its state-authorization disclosure for Virginia. Ask the program to confirm eligibility using the physical address where you will study, particularly if you may move during the degree. Do not assume that a school's national reputation, a Virginia mailing address, or access to an application form resolves these questions. Data science roles generally do not require a program-specific professional accreditation, so avoid treating the absence of one as an automatic red flag.

Requirements vary by program. Applicants should expect a completed bachelor's degree and evidence that they can handle quantitative and computational coursework; a school may specify mathematics, statistics, programming, academic records, recommendations, or written application materials. Do not assume that professional data work substitutes for a stated prerequisite - or that a non-computing bachelor's degree rules you out.

Compare your transcript and experience with each program's current prerequisites. If a required subject is missing, ask whether a graded course completed before enrollment would satisfy it; independent study may build skill without fulfilling a formal requirement. Applicants concerned about essays can review personal-statement requirements for online ML master's programs as a reminder that written-material policies differ, then check the requirements of each data science program directly.

The better format depends on how you learn and what access you need. Online study may let a Virginia resident retain a job and consider schools outside the state. Campus study may make in-person collaboration and university events easier, but commuting or relocating can add substantial costs. Neither format guarantees an internship, employer introduction, or a less demanding degree.

Ask online programs whether classes are live or recorded, when group meetings occur, and whether any exams, orientations, or residencies require travel. These details matter more than the word "online" for someone working standard Eastern Time hours. If minimizing time to completion is your priority, compare published course sequences and enrollment limits rather than assuming self-paced study is faster; faster paths to a data science master's degree provide a useful framework for that comparison.

Expect a mix of statistics, programming, data management, machine learning, and applied analysis, but verify the required courses rather than relying on the degree name. An analytics degree may be the better fit for one applicant, while another needs deeper computing or machine-learning electives.

For each program, look beyond an AI course title: check its prerequisites, methods taught, and whether students build and evaluate models in substantial projects. This is particularly important if you want to work on AI systems rather than primarily interpret business data. Comparing online degree pathways in artificial intelligence can help clarify whether a broader data science curriculum or a more AI-focused degree matches that goal.

Completion time depends on required courses, course availability, and how many classes you take while working. Tuition also varies by program and can change by academic year. A reliable comparison needs current, individualized quotes; a per-credit price or advertised tuition figure may omit required fees and other expenses. No single duration or price should be assumed for all Virginia residents.

Request a written estimate for your intended pace and ask each school to identify the components below. This avoids the common mistake of comparing one program's tuition-only figure with another's fuller estimate.

• Academic charges: total tuition for required coursework, mandatory fees, and any difference based on residency or online enrollment.
• Additional expenses: required software or materials, equipment, and any travel for in-person activities.
• Financing and time: available employer assistance or aid, potential borrowing costs, and the effect of your course load on paid work.

Ask when tuition rates can change and whether a part-time schedule affects aid eligibility. Data science master's financial aid options can help you organize funding questions, but confirm eligibility and award amounts with each school. An in-state public-university label is not a substitute for a program-specific quote.

Possible targets include data scientist, machine-learning specialist, analytics professional, and data-focused roles within an existing field. Job titles overlap, so use actual postings to determine whether employers want statistical modeling, software development, data engineering, or decision support. A master's degree is most useful when its projects and coursework address a demonstrable gap between your current skills and those requirements.

Virginia residents can also consider whether projects tied to their existing experience - such as healthcare, finance, or work with government clients - would make their portfolio more relevant. Access to a particular employer or role is not implied by a school's location. For a closer look at matching curriculum to target jobs, see online data science study for sought-after data roles.

A dependable Virginia-specific earnings figure for graduates of the programs compared here is not established. The BLS reports a $120,230 U.S. median annual wage for data scientists in May 2025. This describes workers in an occupation nationwide - not Virginia master's graduates, new hires, or the salary increase attributable to a degree.

For a personal affordability decision, compare local job postings relevant to your experience with your current compensation and the full cost of study. If a school publishes graduate salaries, ask which graduates responded, where they work, and whether the figure reflects salary level or salary growth. Treating a national occupational median as a promised post-degree salary is a costly mistake.

The BLS projects 35% U.S. employment growth for data scientists from 2025 to 2035. That is a national occupational projection, not a forecast of Virginia openings or a guarantee that entry-level applicants will find work. It does make transferable technical skills and demonstrable projects worth weighing when you compare programs.

For a Virginia-focused search, review current postings in the locations and industries where you could realistically work. Note whether they require on-site access, domain experience, or skills beyond the degree's required courses. This is more useful for choosing a curriculum than assuming national growth will affect every local employer equally.

Data scientist is not generally a Virginia-licensed profession, and a certification is not a general prerequisite for the occupation. Employers can still require particular tools, security clearances, or qualifications for specific jobs. A graduate degree does not automatically satisfy those employer-specific conditions.

Choose an optional certification only if postings for your target roles repeatedly request it and its assessed skills fill a gap in your portfolio. Before paying for either a credential or a master's program, distinguish a hiring requirement from a preferred qualification.

• Code of Virginia Code - Chapter 5. In-State Tuition and Reduced Rate Tuition Eligibility https://law.lis.virginia.gov/vacodefull/title23.1/chapter5/
• Academic Years, Academic Calendars, Payment Periods, and Disbursements | 2025-2026 Federal Student Aid Handbook https://fsapartners.ed.gov/knowledge-center/fsa-handbook/2025-2026/vol3/ch1-academic-years-academic-calendars-payment-periods-and-disbursements
• Types of Financial Aid: Grants, Work-Study, and Loans | studentaid.gov https://studentaid.gov/understand-aid/types
• M.S. in Data Science, Online | virginia.edu https://datascience.virginia.edu/degrees/msds-online
• Data Science (M.S.) | vt.edu https://data.science.vt.edu/programs/ms-ds.html
• Graduate Cost - ODUGlobal - Old Dominion University https://online.odu.edu/cost/graduate-cost
• Online Master of Applied Data Science Tuition & Financial Aid | UNC-Chapel Hill online https://online.unc.edu/online-masters-programs/masters-data-science/admissions/tuition-financial-aid/
• Tuition and Fees - Extended Studies - University of Maryland https://exst.umd.edu/professionals-post-baccalaureates/professional-graduate-programs/joint-programs-survey-methodology-online/tuition-and-fees
• SVCC Professional Licensure Disclosures | southside.edu https://southside.edu/professional-licensure-disclosures
• Out of State Licensure and Certification | Virginia Peninsula Community College https://www.vpcc.edu/about/oap/policy/out-of-state-licensure-and-certification/