2027 Online Data Science Master's Programs for North Dakota Residents: In-State and National Options
Co-Founder and Chief Data Scientist
North Dakota residents can consider both nearby universities and national online data science master's programs. The best choice depends less on a school's distance from home than on its current online availability, curriculum, total cost, and fit with your schedule and career goals.
This guide compares identifiable options, explains what residency may - and may not - change, and gives you a way to narrow your shortlist before applying.
Key Things You Should Know
- Consider North Dakota universities alongside national online programs; confirm the exact degree, delivery format, and eligibility for students living in North Dakota before applying.
- Do not assume an online degree carries in-state tuition. Compare each school's complete, current cost quote, including required fees and any travel.
- The national median annual wage for data scientists was $120,230 in May 2025, according to the U.S. Bureau of Labor Statistics (BLS); that figure is not a prediction of a graduate's pay in North Dakota.
What are the best online data science master's programs for North Dakota residents?
There is no single best program for every North Dakota resident. A useful shortlist includes a North Dakota university to investigate for local connections and national programs with distinct curricular approaches. The table identifies starting points - not a verified ranking or a guarantee that every option is accepting North Dakota applicants in a particular term.
| Institution and option to investigate | Potential fit | What to confirm before applying |
| University of North Dakota: graduate data science offerings | Students who value a North Dakota institution or potential access to local university resources | The current degree title, whether the complete master's is online, residency-based pricing, and any campus requirements |
| Georgia Institute of Technology: Online Master of Science in Analytics | Students open to an analytics degree rather than a degree titled data science | Required courses, electives, scheduling, and eligibility from North Dakota |
| University of Texas at Austin: online Master of Science in Data Science | Students seeking a degree explicitly titled data science | Current prerequisites, course availability, assessment format, and full program cost |
| University of Colorado Boulder: online Master of Science in Data Science | Students interested in its particular online admissions and course structure | Current entry rules, credit requirements, pacing, and total charges |
Start with the credential, not the address. An analytics program can be a strong match for some data science roles, but its coursework may differ from a program emphasizing statistical theory, machine learning, or computing systems. Ask each school for its current catalog, tuition schedule, and written confirmation that a North Dakota resident can complete the degree without required travel. North Dakota has both Central and Mountain time zones, so check live-session times against your own location.
Are online data science master's degrees accredited and recognized?
An online master's is a university degree, but you should verify the institution's current accreditation rather than assume that an online format - or a familiar school name - settles the question. Check the university's accreditation statement and the U.S. Department of Education's institutional accreditation database. A separate, specialized accreditation is not a universal requirement for data science degrees.
Accreditation and permission to serve students in a state are different issues. Before paying an application deposit, ask the university to confirm its authorization to enroll someone at your North Dakota address, particularly if the program involves an internship or other activity outside ordinary online coursework. Employers also assess skills and experience, so recognition of the university alone does not establish that its curriculum fits your target role.
What do you learn in an online data science master's program?
Programs commonly combine statistics, programming, data management, and machine learning, but their depth varies. For a North Dakota applicant comparing national options, course descriptions and required projects are more informative than the degree title alone. Check whether you will build and evaluate models, explain uncertainty, work with substantial datasets, and communicate results to decision-makers.
If your goal involves building reliable data pipelines rather than mainly analyzing prepared datasets, inspect required database and engineering courses. The distinction is also useful when comparing data engineering coursework in AI master's degrees: a mention of pipelines is not the same as sustained, assessed work with them. Ask for recent syllabi or project descriptions when a course title leaves the depth unclear.
What are the admission requirements for online data science master's programs?
Expect a bachelor's degree and evidence that you can handle quantitative and computational graduate work. Schools differ in how they evaluate calculus, linear algebra, statistics, programming, professional experience, recommendations, and written statements. A course or workplace project may demonstrate preparation without necessarily satisfying a formal prerequisite; get that distinction in writing from admissions.
If application workload matters, check each program's current checklist rather than assuming all technical master's programs require the same essays. A comparison of machine learning master's applications without essays illustrates why requirements must be checked by program and degree type; it does not establish the rules for a data science program on your shortlist.
How long does an online data science master's degree take?
Completion time depends on required credits, course availability, prerequisites, and how many courses you can take while working. A published fastest-possible timeline may assume continuous enrollment or a heavier course load than you can sustain. Ask for a sample plan built around your intended start term and weekly availability, including when required courses are actually offered.
Compare data science master's duration and tuition comparisons as an initial screen, then confirm the current sequence directly with each school. A shorter advertised path is less useful if it conflicts with work, family obligations, or required live sessions.
How much do online data science master's programs cost?
No single price applies to North Dakota residents: online tuition may be flat-rate, charged by credit, or affected by residency, and fees can change by term. A reliable comparison requires a current quote for the entire degree, not a per-credit figure by itself. This table separates charges that are easy to overlook.
| Cost component | Question for the university |
| Tuition | Does the online program charge North Dakota residents a different rate, and how many credits are required? |
| Mandatory fees | Which technology, course, student, or graduation fees apply throughout the degree? |
| Materials and travel | Are software, books, proctored exams, or campus visits required? |
| Financing and time | How could borrowing costs or a reduced work schedule affect your total expense? |
Request a term-by-term estimate from each finalist and check whether employer tuition assistance changes your out-of-pocket cost. You can compare tuition for data science master's degrees to identify candidates, but avoid treating a published tuition figure as the final bill. The cheapest option is not automatically the best value if its curriculum misses skills you need.
How do online and campus-based data science master's programs compare?
Online study can let a North Dakota resident consider universities nationwide without relocating. Campus study may offer easier access to in-person faculty meetings, peers, and local recruiting, depending on the institution. Neither format inherently provides stronger coursework or better employment results.
Choose online study when location flexibility matters and the program's live-session schedule, group work, and exam rules fit your life. Give a campus-based option more weight if its specific labs, research relationships, or recruiting access serve your goals. A common mistake is to equate "online" with "self-paced": confirm attendance requirements, deadlines, and any visits before enrolling.
What careers can you pursue with a data science master's degree?
Relevant roles include data scientist, machine learning practitioner, statistician, and analytics specialist, but job titles and qualification standards vary by employer. The most useful program is one whose required work produces evidence for your intended role: sound statistical analysis for research-oriented positions, for example, or deployable code and data workflows for more engineering-focused positions.
For a North Dakota resident, search both local and remote job postings before choosing electives. Note the skills employers repeatedly request and whether roles are genuinely remote or tied to an office. A master's can strengthen preparation, but it does not replace a portfolio, relevant experience, or an employer's specific hiring requirements.
How much do data scientists earn in North Dakota and nationally?
The BLS reports a $120,230 national median annual wage for data scientists in May 2025. Half of workers in that occupation earned more and half earned less; the measure covers employed data scientists, not new master's graduates or the pay increase caused by a degree.
A current, comparable North Dakota wage figure is not established here. Before projecting local earnings, check the latest BLS state occupational wage estimates and compare them with actual North Dakota postings for your experience level. Industry and role also affect pay; salary comparisons for data science career sectors can help frame that difference without promising any individual outcome.
What is the job outlook for data science graduates?
BLS projects 35% growth in data scientist employment from 2025 to 2035, much faster than the average for all occupations. This is a national occupational projection, not a forecast of openings in North Dakota or a placement rate for any master's program.
Use the outlook as a reason to investigate opportunities, not as the sole reason to enroll. Compare recent postings in your intended location and sector with each program's required skills, then ask schools for clearly defined career-outcome information if they publish it. Be wary of claims that national growth alone guarantees a local job or makes a high tuition bill worthwhile.
Other Things You Should Know About Data Science
Possibly, but obtain employer permission and check the university's rules first. Confidential, personal, or regulated data may require an approved substitute or a carefully defined public-data project.
Policies vary. Ask for a course-by-course review before assuming prior credits will count toward degree requirements or shorten your enrollment.
Some universities permit nondegree enrollment or another entry route; others restrict graduate courses to admitted students. Confirm whether a course would later count toward the master's.
Diploma wording is set by the university. Ask the registrar for the exact diploma title and how the credential appears on an official transcript if that distinction matters to you.
References
- College Cost Guide - Bank of North Dakota https://bnd.nd.gov/education-funding/be-confident-with-your-decisions/college-cost-guide/
- Fast Facts: Tuition costs of colleges and universities (76) | ed.gov https://nces.ed.gov/fastfacts/display.asp
- State Authorization & SARA | North Dakota University System https://ndus.edu/ndus-overview/governance/state-authorization-sara
- UND Tuition Model and Student Fees https://und.edu/admissions/cost-and-aid/cost-details.html
- Data Science | Academic Catalog | The University of Chicago http://collegecatalog.uchicago.edu/thecollege/datascience/
- Data Science vs. Computer Science: Choosing the Right Major | Syracuse University https://ischool.syracuse.edu/data-science-vs-computer-science/
- What Is Data Science? Definition, Skills, Applications & More | Harvard SEAS https://seas.harvard.edu/news/what-data-science-definition-skills-applications-more
