2027 Online Data Science Master's Options for Professionals in Bentonville, Arkansas

It is graduate study in subjects such as statistics, programming, machine learning, and working with data, delivered primarily online. For someone employed in Bentonville, the useful distinction is not the degree label alone: it is whether the program develops the skills needed for the next job without requiring an impractical commute or class schedule.

A professional seeking broader business reporting and decision support may find a data analytics graduate degree guide more relevant than a machine-learning-heavy data science curriculum. Someone targeting model development should examine the actual courses and projects, not assume every program bearing "data science" in its name teaches the same depth.

"Near" matters less when coursework is online. The following are national programs Bentonville residents can investigate without treating campus proximity as an eligibility requirement. Delivery details and Arkansas enrollment eligibility should be confirmed with each university before applying.

For a wider comparison, see online data science degrees at master's level for professionals. Also check current graduate offerings at the University of Arkansas and other nearby institutions if access to campus events or faculty is valuable to you; do not assume a nearby data science degree can be completed online. Ask every shortlisted program about required visits, live sessions in Central Time, group-work expectations, and eligibility for students living in Arkansas.

There is no reliable single price for the options above: tuition, mandatory fees, course loads, and residency rules vary by institution and may change. Request a current, program-specific estimate before comparing offers. A low advertised tuition figure is not the same as the amount needed to finish.

For each school, calculate tuition for all required credits, mandatory university and course fees, software or materials costs, and any travel required for in-person activities. Then subtract only employer reimbursement or aid for which you have confirmed eligibility. If your employer pays after a course is completed, account for the cash you must provide upfront and any grade or continued-employment conditions.

Compare that total with a realistic budget and the value of the specific skills you expect to gain. A narrower technical alternative, such as graduate machine learning programs under the $20,000 threshold, may be worth reviewing if machine learning - not a broad data science curriculum - is your goal. Check each program's current charges rather than relying on an older price comparison.

Start with the university's institutional accreditation and verify its current status through the accreditor or the U.S. Department of Education's accreditation database. Do not assume an online master's needs a separate, data-science-specific program accreditation; ask the school what accreditation applies to the degree.

Accreditation and permission to enroll an Arkansas resident are different questions. Before paying an application fee, ask admissions to confirm that the program can enroll students residing in Arkansas and disclose any location-dependent requirements. This check matters more than whether the university is physically close to Bentonville.

Look for an appropriate progression from probability, statistics, and programming to data management, modeling, evaluation, and communicating results. Course titles alone cannot show how much hands-on work is required: inspect syllabi and sample projects to see whether students build, test, and explain models using realistic data.

Bentonville professionals who want to work across large operational datasets should pay particular attention to data pipelines and engineering, not just predictive modeling. The distinction is explored further in AI and data engineering graduate study options. If your target is a retail, supply-chain, or supplier-facing role, favor projects that demonstrate a sound business question, defensible evaluation, and a clear recommendation - not simply use of a fashionable AI tool.

Requirements differ by school. Expect to check the program's current rules for a bachelor's degree, transcripts, quantitative and programming preparation, application materials, and any test policy. Professional experience may strengthen an application, but it does not automatically satisfy a stated mathematics or coding prerequisite.

Before applying, compare your coursework and work samples with the actual prerequisites. If a requirement is unclear, ask admissions whether a particular college course, recent graded course, or professional project meets it. Self-study can improve readiness without necessarily providing formal prerequisite credit.

Completion time depends on required courses, how often they are offered, and how many you can manage while working. A published fastest-possible timeline may assume a course load that is unsuitable during busy work periods.

Ask for a sample part-time sequence showing course availability, prerequisites, summer options, and the maximum time allowed to finish. For a Bentonville professional whose workload varies seasonally, the ability to take a lighter term may be more useful than the shortest advertised completion time.

Potential directions include data scientist, analytics specialist, machine-learning-focused practitioner, and data or analytics leader. The right target depends on your prior experience: a professional who already understands retail operations or supplier decisions may be able to combine that knowledge with new technical skills, while a move into model-development work may require a stronger coding portfolio.

A degree does not itself secure a role. Compare job descriptions from employers you would realistically work for with the program's courses and projects. If access to graduates in your target field matters, review AI master's programs by alumni community as one networking consideration, while confirming what career support and alumni access a specific program actually provides.

A current, comparable Arkansas-specific wage figure cannot be verified here, so a national figure should not be presented as Bentonville pay. The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for U.S. data scientists in May 2025. That midpoint describes employed workers nationally, not starting salaries, local offers, or income caused by earning a master's degree.

For a local decision, compare recent offers or postings for roles matching your experience with the latest BLS wage estimates for Arkansas and, where available, the Fayetteville-Springdale-Rogers metropolitan area. Consider base pay, benefits, and the value of staying with a current employer before using a salary change to justify tuition.

A verified Arkansas-specific projection is not available here. Nationally, BLS projects 35% growth in data scientist employment from 2025 to 2035. That signals broad demand for the occupation, but it cannot tell a Bentonville applicant how many suitable local jobs will open or whether employers will prefer a particular degree.

Test the local market directly: review openings at employers you could join, note the required tools and experience, and check whether comparable roles permit remote work. Treat a national growth projection as context, not as a substitute for evidence about the positions you intend to pursue.

• Types of Financial Aid: Grants, Work-Study, and Loans | studentaid.gov https://studentaid.gov/understand-aid/types
• Master of Science | University of Maryland https://cmns.umd.edu/graduate/science-academy/data-science/master-science
• Master's in Data Science - University of Notre Dame https://datascience.nd.edu/masters/
• Course Delivery Formats | My Davenport University https://my.davenport.edu/academics/student/course-delivery-formats
• Prerequisite Key Topics - UVA School of Data Science https://datascience.virginia.edu/pages/prerequisite-key-topics
• How many hours per week should I expect to spend on coursework? - UW-Madison Online https://online.wisc.edu/knowledgebase/how-many-hours-per-week-should-i-expect-to-spend-on-coursework/
• Proctored Experience Information - eCore https://ecore.usg.edu/current-students/proctored-exams-information/
• Master's Comparisons [Data Science vs. Analytics vs. 3 More] | University of San Diego Online Degrees https://onlinedegrees.sandiego.edu/data-science-masters-degrees-comparison/
• Class Delivery Formats | ccp.edu https://www.ccp.edu/degrees-programs/all-academic-offerings/class-delivery-formats
• Master's in Data Science: Admissions Requirements | nyu.edu https://cds.nyu.edu/admissions/masters-in-data-science-admissions-req/admissions-requirements/