2027 Online Data Science Master's Options for Professionals in Norfolk, Virginia
Co-Founder and Chief Data Scientist
Norfolk professionals can study data science online without limiting their search to nearby campuses. The useful choice depends on whether a program teaches the skills they need, fits a working schedule, and offers a defensible total cost.
Old Dominion University provides a local option to investigate, while universities outside Virginia may also be practical. This guide compares those paths and identifies what to confirm before applying or paying a deposit.
Key Things You Should Know
- Start with Old Dominion University for potential access to local resources, but compare its current online offering with national programs; proximity alone does not establish the best fit.
- Confirm live-class times, any campus visits, institutional accreditation, state availability, and the full tuition-and-fee estimate before applying.
- The U.S. median annual wage for data scientists was $120,230 in May 2025; it is not a Norfolk starting-salary estimate or a promised return on a degree.
What is an online data science master's degree for professionals in Norfolk?
It is a graduate program completed primarily online that develops skills in statistics, programming, data management, and predictive analysis. For a working Norfolk resident, the meaningful distinction is not where the university is located: it is whether required classes and projects can fit around work, and whether the curriculum supports the intended role.
Norfolk's location matters most when a student wants access to a nearby campus, local professional contacts, or an employer willing to fund a particular school. It matters less for a fully online program with asynchronous coursework. A Norfolk student should still check whether an out-of-state university enrolls Virginia residents and whether live sessions occur at workable Eastern Time hours.
Which accredited online data science master's programs serve Norfolk students?
A useful shortlist includes a local university and established online programs elsewhere. Institutional accreditation applies to the university; it should not be mistaken for a separate accreditation of its data science degree. Program names, delivery rules, and availability can change, so confirm the current catalog and Virginia enrollment eligibility directly with each school.
The following options illustrate distinct choices rather than a ranking. In particular, an analytics degree should be compared by its courses and projects, not treated as identical to a degree titled data science.
| University and program to investigate | Potential reason to consider it | What to confirm |
| Old Dominion University - M.S. in Data Science and Analytics | Norfolk-area university with potential access to local campus resources | Current online delivery, required visits, course rotation, and applicable tuition |
| University of Virginia - online M.S. in Data Science | Virginia-based option for students seeking a degree explicitly titled data science | Live-session schedule, any in-person requirements, and total cost |
| University of Texas at Austin - online M.S. in Data Science | Out-of-state online alternative | Virginia enrollment eligibility, course availability, and project opportunities |
| Georgia Institute of Technology - online M.S. in Analytics | Alternative for applicants whose goals fit an analytics curriculum | Whether its technical emphasis matches the intended data science roles |
Compare each school's current institutional accreditation status using the institution's or accreditor's records. Then request a written answer about Virginia residency eligibility and any required travel; an "online" label by itself does not settle either question.
How do online and campus-based data science master's programs compare?
Online study usually offers more geographic choice and can remove a routine commute. A campus-based program may make face-to-face networking and use of local facilities easier. Neither format guarantees a lighter workload, stronger teaching, or better employment outcomes.
For a Norfolk professional with rotating shifts or military-related schedule changes, delivery details matter more than the format label. Ask whether lectures are recorded, participation is required at set times, group meetings can be arranged flexibly, and exams use fixed windows. If speed is a priority, compare the program's actual course rotation and workload with other online data science master's completion options; an advertised minimum timeline may assume a course load that is unrealistic alongside full-time work.
What courses are included in an online data science master's curriculum?
Look beyond the degree title for graduate work in statistical inference, programming, databases, machine learning, and communicating results. Electives or projects may extend into cloud computing, visualization, natural language processing, or responsible AI. Exact requirements vary by program.
Match course depth to the intended job. An applicant targeting model development should examine prerequisites, machine-learning assignments, and opportunities to evaluate models on unfamiliar data. Someone targeting analytics leadership may value experimental design, data governance, and stakeholder-facing projects more. A course title alone does not show how much coding or independent work students complete; ask to see recent syllabi and capstone expectations.
What are the admission requirements for online data science master's programs?
Requirements vary, but applicants commonly need a bachelor's degree, transcripts, and evidence that they can handle quantitative and programming work. A school may also request recommendations, a résumé, a statement, or specific prerequisite courses. Professional experience can strengthen an application without automatically replacing a formal prerequisite.
Before applying, compare each program's published requirements with courses already on your transcript. If mathematics or Python preparation is missing, ask admissions whether a particular course would satisfy the requirement before enrolling in it. Applicants who want to avoid an essay can investigate personal-statement requirements for online ML master's programs, while checking the current rules of any data science program on their own shortlist.
How long does an online data science master's take, and what does it cost?
Completion time depends on required credits, course sequencing, and how many courses a student takes while working. A published fastest-completion path may not account for a missed prerequisite or a course offered infrequently. Ask each school for a term-by-term plan based on your intended enrollment pace.
A trustworthy cost comparison uses a written estimate for the entire degree, not a per-credit figure alone. Include mandatory university and online fees, materials or software, possible travel, and any additional terms needed to finish. No comparable, current price for the programs above is established here, so it would be misleading to rank them by cost. If a broader technical degree is acceptable, AI degree programs with affordable tuition provide another category to compare - but only after checking whether their curricula meet your data science goals.
Ask your employer whether tuition assistance requires a particular grade, continued employment, or repayment after departure. That policy can matter more to your personal cost than a modest difference between schools' advertised tuition.
What careers can an online data science master's prepare professionals for?
Depending on prior experience and coursework, graduates may pursue data scientist, analytics specialist, machine-learning-focused, or data leadership roles. A master's is preparation, not a substitute for evidence of programming ability, sound statistical reasoning, and work on real problems.
Norfolk professionals can use existing knowledge of an industry or operation as an advantage when choosing projects, provided they have permission to use the data. Before enrolling, compare desired job postings with program courses and ask whether projects produce work you can discuss with employers. For a broader look at online degree preparation for data-focused occupations, distinguish roles that emphasize analysis and communication from those requiring extensive software engineering.
What salaries can data science master's graduates expect in Virginia?
The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for data scientists in May 2025. That figure covers employed data scientists nationally, not new master's graduates or Norfolk workers specifically. It cannot establish the salary increase attributable to a degree.
For a local decision, compare current Virginia and Virginia Beach-Norfolk-Newport News occupational wage estimates with actual openings relevant to your experience. Also consider the employer and industry: where data science graduates earn more may differ from where a particular Norfolk applicant can realistically obtain an offer. Avoid using a national median as the sole basis for a tuition or loan decision.
What is the job outlook for data science professionals in Virginia?
BLS projects 35% U.S. employment growth for data scientists from 2025 to 2035. That is a national occupational projection, not a forecast of Norfolk vacancies or a guarantee of entry-level openings.
Use local job postings to test demand for your target skills, but read them carefully: "data scientist" can describe very different levels of experience. Professionals considering a career change should also search adjacent analytics and data-engineering roles. An online program is a better fit when its projects and career support address the roles actually available to the student, not merely the national growth figure.
Which certifications and professional standards matter in data science?
Data science has no general professional license required across Virginia roles. Vendor certifications can demonstrate familiarity with a cloud or analytics platform, but they do not replace graduate coursework or proof that you can frame, test, and explain an analysis. Choose a certification only when target employers use that platform.
Regardless of credential, ask how a program teaches data privacy, security, reproducibility, and evaluation for bias or error. These practices matter particularly when a project involves sensitive employer, health, or government information. Do not assume that access to workplace data grants permission to upload it into a course platform or portfolio.
Other Things You Should Know About Data Science
Yes. Experience managing operations, systems, or evidence-based decisions can provide useful context. Describe your specific contributions and technical preparation rather than assuming service experience satisfies a program's academic prerequisites.
Use an approved public or synthetic dataset and explain the business question it represents. Obtain written permission before using employer data, even when names have been removed.
Often, through project teams, faculty office hours, alumni events, and local professional groups. Ask prospective programs which activities online students can actually access and whether participation requires travel.
That depends on the receiving school's policy, course equivalence, grades, and credit-age limits. Request a formal transfer-credit review before counting previous coursework toward your expected completion time or cost.
References
- Post-Secondary Employment Outcomes Tool Shows What You Might Earn Depending on the College You Attend | Census.gov https://www.census.gov/library/stories/2022/06/job-and-earnings-prospects-by-college-and-degree.html
- In-State Tuition Rates Under The Veterans Choice Act | Veterans Affairs https://www.va.gov/resources/in-state-tuition-rates-under-the-veterans-choice-act/
- Virginia Military Survivors & Dependents Education Program (VMSDEP) | Virginia Department of Veterans Services https://www.dvs.virginia.gov/benefits-services/education/virginia-military-survivors-dependents-education-program-vmsdep
- Course Info | CDS https://codas.uchicago.edu/course-info/
- Military Education | schev.edu https://www.schev.edu/students/military
- Online Education at the University of Virginia: Home https://online.virginia.edu/
- Applications Process & Requirements | Illinois https://siebelschool.illinois.edu/admissions/graduate/applications-process-requirements
- Post-Graduation Career Outcomes | iastate.edu https://www.career.iastate.edu/career-outcomes/
- What Is Data Science? Definition, Skills, Applications & More | Harvard SEAS https://seas.harvard.edu/news/what-data-science-definition-skills-applications-more
- What You'll Learn in Applied Data Science: Modeling to AI | Bay Path University https://www.baypath.edu/news/bay-path-university-blogs/post/what-you-ll-learn-in-applied-data-science-modeling-to-ai/
