2027 Rice Online MDS vs. Grand Canyon Online MS in Data Science: Cost, Curriculum, Admissions, and Format
Co-Founder and Chief Data Scientist
Rice University's online Master of Data Science and Grand Canyon University's online MS in Data Science offer two routes to a graduate data science degree. For working applicants, the consequential differences are the courses they would take, the schedule they could sustain, and the full price they would pay.
This comparison separates confirmed facts from details that need a current program quote, so you can decide which questions to resolve before applying or enrolling.
Key Things You Should Know
- Neither program has a verified cost advantage here. Obtain each school's current credit requirement, per-credit tuition, and mandatory fees before comparing prices.
- Curriculum and scheduling may decide the better fit. Compare required technical courses, project expectations, live-session rules, and part-time sequencing, not just degree titles.
- Career demand is strong but not a personal outcome. The U.S. Bureau of Labor Statistics projects 35% growth in data scientist employment from 2025 to 2035; neither degree guarantees a job.
How Do Rice Online MDS and Grand Canyon Online MS Compare?
Both are online graduate degrees in data science, but their different degree names do not establish a difference in rigor or career value.
The comparison below distinguishes established features from decision-critical details that require current confirmation.
| Criterion | Rice University | Grand Canyon University |
| Degree named | Online Master of Data Science (MDS) | Online Master of Science (MS) in Data Science |
| Institutional accreditor | Southern Association of Colleges and Schools Commission on Colleges | Higher Learning Commission |
| Cost, course requirements, and pace | Request current program-specific terms | Request current program-specific terms |
| Best basis for choosing | Fit between its confirmed courses, schedule, and net cost and your goals | Fit between its confirmed courses, schedule, and net cost and your goals |
Do not treat the MDS versus MS distinction as a shortcut. A required-course list and a term-by-term enrollment plan will tell you more about technical preparation and feasibility than the letters on the diploma.
How Much Do Rice and Grand Canyon Online Data Science Degrees Cost?
A defensible 2026 price comparison needs tuition for the term in which you will enroll, the number of credits you must complete, and all required fees. A current, like-for-like total for these two programs cannot be established here; neither should be labeled the cheaper option without an itemized quote.
Ask each school for a written estimate that separates tuition from mandatory program or university fees. Add required software or materials, any travel, and interest if you expect to borrow. Then subtract scholarships or employer assistance you are eligible to receive. Per-credit prices alone can mislead when credit requirements differ.
Compare estimates for the same enrollment pattern, since a longer part-time schedule can change when tuition is charged or aid is available. Students exploring economical online data science master's options can use these itemized totals as a baseline rather than assuming either named program is the lowest-cost choice.
What Do Rice and Grand Canyon Data Science Curricula Include?
For either degree, the decisive curriculum question is how much required work builds statistical reasoning, programming, machine learning, and the ability to communicate results, not whether those subjects appear in promotional descriptions.
Current course-by-course requirements, electives, and project rules need confirmation in each school's catalog before making a claim that one program teaches a subject more deeply.
Compare required courses separately from electives. If machine learning is central to your goal, check whether you can take advanced coursework within your planned schedule; an elective that is unavailable during your enrollment may not help.
Likewise, ask whether a final project is required, how topics are assigned, and whether you may use appropriately approved workplace data. Course titles alone cannot establish the amount of coding or independent work involved.
What Are the Admission Requirements for Each Online Data Science Program?
Do not assume that the two schools apply identical rules to prior degrees, mathematics, programming, GPA, recommendations, or test scores. Obtain the current online-program admissions checklist from each admissions office and distinguish a formal prerequisite from preparation recommended for success.
If your background is outside computing, ask whether prior statistics, calculus, or programming coursework is required and whether professional experience can demonstrate readiness. A preparatory course may improve your application without satisfying a formal prerequisite unless the school says it does.
Applicants also considering AI master's routes with additional preparation should check whether those routes offer a clearer path for their specific knowledge gaps.
How Long Do the Online Data Science Programs Take to Complete?
Neither program's completion time should be reduced to a single number without specifying how many courses a student takes per term. Request a sample plan for your intended pace from both schools, including when required courses are offered and whether prerequisites constrain their order.
For a full-time employee, a shorter advertised path is useful only if its weekly course load is realistic. Ask about the minimum enrollment needed to remain active, permitted breaks, and any maximum time to finish. A guide to graduate data science study while working can help frame that workload conversation, but each program must confirm its own policies.
How Do Online Learning Formats Differ at Rice and Grand Canyon?
"Online" establishes where you study, not when you must be available. Current requirements for live meetings, recorded lessons, group work, exams, and any in-person activity need direct confirmation for each program. Do not assume that either degree is fully self-paced or entirely asynchronous.
Request a recent sample course schedule or syllabus from both schools. If you work rotating shifts, live attendance and group-meeting expectations may outweigh a modest difference in tuition. If your hours are predictable, access to scheduled discussions may be a benefit rather than a constraint. Also confirm whether support hours work in your time zone.
Are Rice and Grand Canyon Data Science Degrees Accredited?
Rice University is institutionally accredited by the Southern Association of Colleges and Schools Commission on Colleges. Grand Canyon University is institutionally accredited by the Higher Learning Commission. Institutional accreditation applies to the university. It should not be read as a claim that either particular data science degree holds a separate, specialized accreditation.
Before enrolling, confirm each university's current status with its accreditor and ask the school whether your state of residence presents any enrollment restrictions. Accreditation also does not, by itself, establish that credits will transfer to another institution; a receiving school decides whether to accept them.
What Careers Can Each Online Data Science Degree Prepare You For?
Either degree could support applications for data-focused work, including data scientist or analytics roles, if its coursework and your projects demonstrate the skills an employer requests.
Job titles vary substantially. Some positions emphasize statistical modeling and machine learning, while others prioritize data preparation, reporting, or communication with business teams.
Choose target job postings first, then compare their recurring skills with each program's required coursework. This is more informative than assuming a degree name qualifies you for every role.
The discussion of choosing a data science degree for data career opportunities can help you connect course choices to roles, but employers will also evaluate prior experience and evidence of applied work.
What Salaries and Job Outlook Can Data Science Graduates Expect?
The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for data scientists in May 2025. That is a wage measure for people working in the occupation, not an entry-level offer, a reported outcome for either university, or a salary increase caused by earning a master's degree.
BLS projects 35% employment growth for data scientists from 2025 to 2035. The projection supports investigating the field, but it cannot predict an individual graduate's prospects. When assessing whether either program is worth its cost, use a realistic target role and local pay range, and account for your existing experience, borrowing, and time spent studying.
How Should Students Choose Between Rice and Grand Canyon?
Choose Rice if its confirmed required courses and schedule better match your technical goals and its full cost is affordable to you. Choose Grand Canyon on the same basis if its verified curriculum, pacing, and net price fit better. Without equivalent current cost and academic details, a universal winner would be unsupported.
Before paying a deposit, request three comparable items from each program. An itemized estimate for your intended start term, a current required-course list, and a part-time or full-time term plan.
Check any aid offer against the actual terms of enrollment; a lower quoted tuition is not necessarily a lower out-of-pocket cost. Guidance on paying for graduate data science study can help you evaluate aid and borrowing without treating an award as guaranteed.
Other Things You Should Know About Data Science Programs
A portfolio is not a universal admissions or hiring requirement, but a well-documented project can show how you define a problem, assess a model, and explain results. Follow each employer's application instructions.
Only if your employer permits it and the program accepts the arrangement. Check confidentiality, privacy, and intellectual-property rules before uploading workplace data to any course platform.
Ask each university what appears on its diploma and official transcript. Do not assume that online delivery is either shown or omitted.
A master's degree may form part of a doctoral application, but eligibility depends on the doctoral program's research and preparation requirements. If a PhD is your goal, check those requirements before choosing graduate electives or projects.
References
- DAPIP | Homepage - Office of Postsecondary Education (OPE) https://ope.ed.gov/dapip/
- An Overview of Accreditation of Higher Education in the United States | Congress.gov | Library of Congress https://www.congress.gov/crs-product/R43826
- Fast Facts: Tuition costs of colleges and universities (76) | ed.gov https://nces.ed.gov/fastfacts/display.asp
- Types of Financial Aid: Grants, Work-Study, and Loans | studentaid.gov https://studentaid.gov/understand-aid/types
- 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
- Online Master of Data Science Degree Program | MDS@Rice https://csweb.rice.edu/academics/graduate-programs/online-mds
- Admissions Requirements | Berkeley Graduate Division https://grad.berkeley.edu/admissions/application-process/requirements/
- How to Become a Data Scientist | Harvard SEAS https://seas.harvard.edu/news/how-become-data-scientist
- What are Asynchronous Classes? | University of Bridgeport https://www.bridgeport.edu/news/what-are-asynchronous-classes/
